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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Martín, Héctor; CSIC - Unidad de Tecnología Marina (UTM);

    Search and location of the remains of the submarine in the area using side-scan sonar and visual identification with a mini submarine. ARM-REC Cruise (29SG20220502) carried out on the Research Vessel Sarmiento de Gamboa in 2022.

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    Digital.CSIC
    Dataset . 2022
    Data sources: Digital.CSIC
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      Digital.CSIC
      Dataset . 2022
      Data sources: Digital.CSIC
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  • Authors: Salgueiro, Emília; Magalhães, Vítor; Rebotim, Andreia; Matos, Lélia; +4 Authors

    The CARBO-ACID research cruise (EUROFLEETS+ SEA02_10) was carried out on the RV Ramón Margalef between August 2nd and August 11st, with departing from Vigo – Spain and ending in Lisbon – Portugal. The main objective of this cruise was to collect data and samples to study the potential effects of ocean acidification on carbonate marine organisms (coccolithophores, pteropods, planktonic and benthic foraminifera, and corals) along the Iberian margin. With this objective, oceanographic data and water samples, plankton, cold-water corals and sediment samples were collected during an upwelling season, along two transects coinciding with the two persistent upwelling filaments off the Iberia Margin: the Cape Finisterra and the Cape Roca. In this dataset is guiven all the acquired data recollected onboad. During the CARBO-ACID cruise we did a total of 7 stations, 4 stations along the Cape Finisterra transect (from W to E: CA3, CA2, CA7, CA8) and 3 stations at the Cape Roca (from W to E: CA6, CA5, CA4) transect (Fig). At each station we usually started with a multibeam survey, a CTD and Rosette cast. These initial operations allowed to identify the different water masses present in this area, characterize their physical properties and to recover seawater samples at specific depth levels. The seawater samples were onboard subsampled, preserved in cold conditions or with chemicals and/ or filtered for several further analysis in the shore-based laboratories: DNA, chlorophyll, fitoplankton, coccolithophores, pH, alkalinity, stable isotopic composition, trace elements concentration and Suspend Particulate Matter. Subsequently to these operations, at each station, two vertical tows with a plankton multinet (with 5 nets) were done on the top 700 m of the water column to sample the planktonic communities of the different water depths. After this, sediment samples were recovered with a box-corer to study the past oceanographic conditions, between the pre-industrial Era and the Present, with multi-proxies used in paleoceanography and sedimentology. A total of 10 box-cores were recollected and each of them was onboard sub-sampled for eDNA, enzymes and benthic foraminifera. Fifteen shipek grab samples were recollected at the Fontanelas seamount (Estremadura Spur), station CA6, to characterize the sedimentary cover and to evaluate the presence of deep cold-water corals. Preliminary results show that the stations CA7, CA8 and CA4, located close to the coast, as expected, are the most influenced by the coastal upwelling, exhibiting colder surface water, higher values of fluorescence, and more zooplankton content reflecting higher phyto-zooplankton concentrations, as typical of the upwelling waters. At station CA4 temperature was higher and fluorescence showed lower values, indicative of less phytoplankton, and interpreted as indicating a different upwelling source water from that upwelled further north. Based on the CTD data, the Cape Roca transect is more influenced by the subtropical East North Atlantic Central Water (ENACWst), while the Cape Finisterra transect is more under the influence of the subpolar branch (ENACWsp). Seafloor sediment samples showed significant differences between the stations. Along the northern transect (Cape Finisterra) the seafloor sediments show an increase in grain size from the offshore to the coast. The offshore stations CA3 and CA2 revealed finer grained sediments, CA8 were composed of coarser sand and the station CA7, the shallowest station 77 m, presented the sediment composed mainly of shell fragments and coarse grain sand. Along the southern transect (Cape Roca), the offshore station CA6 (Fontanelas seamount) has coarser sandy sediments with rock clasts and cold-water coral fragments, and the stations CA5 and CA4 with fine sand to muddy sediments. The detailed CA6 bathymetry allowed to verify the existence of small plateaus on the slope of the Fontanelas seamount, where the fossil cold-water corals fragments were found, suggesting that this area is a very interesting system deserving further study with a ROV, and to characterize the corals fields and verify if there are live corals. These recollected data and samples will allow not only to reconstruct the pH variability under different environmental conditions, but also to estimate the biogeochemical changes along the coastal ocean waters as the anthropogenic influence increases. These results will contribute to better understand and model the effects on the biota under the future expected oceans pH changes.

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    Authors: Buessler, Ken; CSIC - Unidad de Tecnología Marina (UTM);

    EXport Processes in the Ocean from Remote Sensing (EXPORTS) is a large-scale NASA-led field campaign that will provide critical information for quantifying the export and fate of upper ocean net primary production (NPP) using satellite observations and state of the art ocean technologies. The goal of EXPORTS is to understand how the organic carbon makes it to the twilight zone and deep ocean interior, and how lon it stays there, which is vital to understanding present and future ocean ecosystems and global climate. Oceanographic data acquired during the EXPORTS Cruise (29SG20210503) on board the Research Vessel Sarmiento de Gamboa in 2021.

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    Digital.CSIC
    Dataset . 2021
    Data sources: Digital.CSIC
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      Digital.CSIC
      Dataset . 2021
      Data sources: Digital.CSIC
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  • Authors: Balaguer-Benlliure, Victor; Roger, Moya; Johana, Gaitán-Alvarez;

    This data contents information about parental wood and charcoal characteristics of 16 tropical species growing in fast-growth condictions. The data details tha following characterist of parental wood: moisture content (PMC) and wood density (PWD). On the others hand the charcoal characteristics are: Density (CD), moisture content (CMC) and compression strength of charcoal, gross calorific value (GCV), ash and volatile matter and fixed carbon, Carbon (C), nitrogen (N), hydrogen (H), and oxygen (O) contents, C/N ratio, O/Cmol ratio and H/Cmol ratio. Besides it is presented FTIR spectra and the ignition temperature (Ti), the burnout temperature (Tf), the characteristic combustion index (S), the ignition index (Di), the time corresponding to the maximum combustion rate (tp), the ignition time (tig), and the average rate of combustion.

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    Authors: Muñoz, Alfonso; CSIC - Unidad de Tecnología Marina (UTM);

    The MARIBNO project is located in the NW zone of Iberia, which constitutes an ideal environment to raise the following main objectives: 1. Study of the cortical structure at the western end of the Cantabrian Mountains and the transition zone between the western and northern margins of Iberia. 2. Study of the tectonic control exerted by the previous structures during the two main alpine stages. 3. Mapping and characterization of cortical domains using a multidisciplinary approach. Definition and application of geophysical and geological criteria applicable to the zonation of cortical domains in other parts of the world with similar contexts. Oceanographic data acquired during the MARIBNO Cruise (29SG20210914) on board the Research Vessel Sarmiento de Gamboa in 2021.

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    Digital.CSIC
    Dataset . 2021
    Data sources: Digital.CSIC
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      Digital.CSIC
      Dataset . 2021
      Data sources: Digital.CSIC
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Chunlüe Zhou; Cesar Azorin-Molina; Erik Engström; Lorenzo Minola; +4 Authors

    Creating a century-long homogenized near-surface wind speed (WS) observation dataset is essential to improve our knowledge about the uncertainty and causes of WS stilling and recovery. We rescued paper-based WS records dating back to the 1920s at 13 stations in Sweden and established a four-step homogenization procedure to generate the first 10-member centennial homogenized WS dataset (HomogWS-se) for community uses among climatology, ecology, hydrology and energy industry. HomogWS-se can be used to study the WS variability and change, assess climate reanalysis, and constrain climate simulations for better future projection of changes in the WS and wind energy potential. HomogWS-se contains 13 individual text files with 10-member century-long homogenized monthly WS series, as well as the member-mean series. {"references": ["Zhou, C., C. Azorin-Molina, E. Engstr\u00f6m, L. Wern, S. Hellstr\u00f6m, and D. Chen, 2022: A century-long homogenized dataset of near-surface wind speed observations since 1925 rescued in Sweden. Earth Syst. Sci. Data, 1-24, 10.5194/essd-2022-29."]}

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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: ZENODO
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: ZENODO
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    Authors: Askins, Stephen; Nardin, Gaël; Ackermann, Mathieu; Gerlich, Florian; +1 Authors

    Dataset from the outdoor characterization of a B Series module from Insolight at the rooftop of the Instituto de Energía Solar - Universidad Politécnica de Madrid. These are measurements of a module of the same type as “Outdoor monitoring data of an Insolight B-series module - CPV sub-module” however, in the previous measurements the module was mounted on a two-axis tracker to benchmark its performance, while in these measurements, the module’s integrated planar micro tracking system was used. This data was presented at IEEE PVSC 46 in June 2019 in Chicago. See preprint of conference article. Monitoring campaign: Location: 40.453°N, -3.727°E. Instituto de Energía Solar, Universidad Politécnica de Madrid. 28040 Madrid, Spain. Fixed Mounting Angle: Due South, Slope Angle = 30° Starting date: 30 May 2019 End date: 14 June 2018 Description of data file: Data files format: single comma-separated text file; headers in first row; all of the following parameters; order below is the same as order in file Measurement time: the vector of times represents the times at which the Insolight module firmware sampled the current values of the III-V and Si outputs (measured simultaneously). Date Time (dd/mmm/yyyy HH:MM:SS): time in CEST / UTC+2 Measured meteorological data: these values are measured directly by the IES meteorological station with 1-minute resolution. They have been re-interpolated to match the measurement times. DNI (W/m2): direct normal irradiance as measured by a Normal Incidence Pyrheliometer from Eppley on a solar tracker. Spectral Range: 250-3000 nm. Field of view: 5° DNI_Top (W/m2): equivalent direct normal irradiance as measured by a top component cell of a lattice-matched III-V triple-junction cell in the ICU-3J35 Triband Spectro-heliometer from Solar Added Value on a solar tracker. Spectral range: 300 - 680 nm. Field of view: 5.7º DNI_Mid (W/m2): equivalent direct normal irradiance as measured by a middle component cell of a lattice-matched III-V triple-junction cell in the ICU-3J35 Triband Spectro-heliometer from Solar Added Value on a solar tracker. Spectral range: 680 - 900 nm. Field of view: 5.7º GNI (W/m2): global normal irradiance at the aperture plane as measured with a pyranometer on a solar tracker. Spectral range: 305 – 2800 nm. G(41°) (W/m2): Global Inclined Irradiance as measured with a pyranometer mounted facing due south and at a slope angle of 41° (near to local latitude). Spectral range: 305 – 2800 nm. T_Amb (°C): ambient temperature Wind Speed (m/s): wind speed Wind Dir. (m/s): wind direction Processed meteorological data: these values are calculated from the above meteorological data and provided for convenience DII (W/m2): Direct Inclined (plane of array) Irradiance corresponding to the module slope angle has been calculated using the sun’s known declination and hour angle from the time. GII (W/m2): The Global Inclined (plane of array) Irradiance is calculated by first calculating the DII(41°), that is the DII corresponding to the G(41°) measurement, and finding the Diffuse Inclined Irradiance Diff(41°) = G(41°) – DII(41°). It is assumed that the Diffuse Inclined Irradiance at 41° and 30° is equal, so GII = DII + Diff(41°). SMR_Top_Mid (n.d.): “Spectral Matching Ratio”. This is the ratio between DNI_Top and DNI_Mid. A value of unity indicates a spectrum that is equivalent to AM1.5D with regards to the energy balance between top and middle subcells. Measured module data: The module was placed in a short-ciruit condition and allowed to track using its integrated tracking system. The short circuit current was measured using shut resistors and integrated A/D channels. This hybrid module features both III-V micro cells (under concentration, with planar microtracking) and large area silicon solar cells (for diffuse capture). ISC_measured_IIIV (A): ISC_measured_Si (A) Estimated module data: As is explained in the IEEE PVSC 46 manuscript (see Preprint) the following values are estimated using the previously listed measured data. T_Backplane (°C) PMP_estimated_IIIV (W) PMP_estimated_Si (W)

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    ZENODO
    Dataset . 2019
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2019
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2019
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2019
      License: CC BY
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      ZENODO
      Dataset . 2019
      License: CC BY
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      ZENODO
      Dataset . 2019
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    Sheets with information on the FOODRUS KPIs, including: general description, calculation methodology, and observations.

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    ZENODO
    Dataset . 2024
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    ZENODO
    Dataset . 2024
    License: CC BY
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    ZENODO
    Dataset . 2024
    License: CC BY
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    ZENODO
    Dataset . 2024
    License: CC BY
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    ZENODO
    Dataset . 2024
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      Dataset . 2024
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      ZENODO
      Dataset . 2024
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      ZENODO
      Dataset . 2024
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      ZENODO
      Dataset . 2024
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      ZENODO
      Dataset . 2024
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    Authors: Mission��rio, M; Fernandes, JF; Travesso, M; Freitas, E; +2 Authors

    This work was supported by project AquaMMIn (MAR-02.01.01-FEAMP-0038), co- funded by Portugal 2020 and the European Union through Mar2020, the Operational Programme (OP) for the European Maritime and Fisheries Fund (EMFF) in Portugal. MT and MM acknowledge the research grants funded within AquaMMIn project (DBIO/BL-5/AQUAMMIN-2021). Thanks are also due for the financial support to CESAM (UIDP/50017/2020+UIDB/50017/2020), to FCT/MEC through Scientific Employment Stimulus ��� Individual Call 2018 (CEECIND/01250/2018 to DM) and PhD scholarship call 2021 (2021.04675.BD to JFF), and to the co-funding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020. Dataset on the upper thermal tolerance limits (Critical Thermal Maximum, CTmax) of male and female Palaemon varians shrimps collected from the salt pan complex of Marinha de Santiago da Fonte, Ria de Aveiro, Portugal (40 �� 37���44.5������N, 08 �� 39���37.3������W). Data on weight and lenght are also included. Temperature data for the sampling site were collected with a HOBO datalogger (water Temp Pro v2 U22-001, Onset, USA) and are also included. Dataset associated to the article https://doi.org/10.1016/j.jtherbio.2021.103151

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    ZENODO
    Dataset . 2021
    License: CC BY
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    ZENODO
    Dataset . 2021
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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2021
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      ZENODO
      Dataset . 2021
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      ZENODO
      Dataset . 2021
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    Authors: João Soares; Fernando Lezama; Tiago Pinto; Hugo Morais;

    Editorial Complex Optimization and Simulation in Power Systems

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    Complexity
    Article . 2018 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    Article . 2018
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    Article . 2018
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    Complexity
    Article . 2018 . Peer-reviewed
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Martín, Héctor; CSIC - Unidad de Tecnología Marina (UTM);

    Search and location of the remains of the submarine in the area using side-scan sonar and visual identification with a mini submarine. ARM-REC Cruise (29SG20220502) carried out on the Research Vessel Sarmiento de Gamboa in 2022.

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    Digital.CSIC
    Dataset . 2022
    Data sources: Digital.CSIC
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      Digital.CSIC
      Dataset . 2022
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  • Authors: Salgueiro, Emília; Magalhães, Vítor; Rebotim, Andreia; Matos, Lélia; +4 Authors

    The CARBO-ACID research cruise (EUROFLEETS+ SEA02_10) was carried out on the RV Ramón Margalef between August 2nd and August 11st, with departing from Vigo – Spain and ending in Lisbon – Portugal. The main objective of this cruise was to collect data and samples to study the potential effects of ocean acidification on carbonate marine organisms (coccolithophores, pteropods, planktonic and benthic foraminifera, and corals) along the Iberian margin. With this objective, oceanographic data and water samples, plankton, cold-water corals and sediment samples were collected during an upwelling season, along two transects coinciding with the two persistent upwelling filaments off the Iberia Margin: the Cape Finisterra and the Cape Roca. In this dataset is guiven all the acquired data recollected onboad. During the CARBO-ACID cruise we did a total of 7 stations, 4 stations along the Cape Finisterra transect (from W to E: CA3, CA2, CA7, CA8) and 3 stations at the Cape Roca (from W to E: CA6, CA5, CA4) transect (Fig). At each station we usually started with a multibeam survey, a CTD and Rosette cast. These initial operations allowed to identify the different water masses present in this area, characterize their physical properties and to recover seawater samples at specific depth levels. The seawater samples were onboard subsampled, preserved in cold conditions or with chemicals and/ or filtered for several further analysis in the shore-based laboratories: DNA, chlorophyll, fitoplankton, coccolithophores, pH, alkalinity, stable isotopic composition, trace elements concentration and Suspend Particulate Matter. Subsequently to these operations, at each station, two vertical tows with a plankton multinet (with 5 nets) were done on the top 700 m of the water column to sample the planktonic communities of the different water depths. After this, sediment samples were recovered with a box-corer to study the past oceanographic conditions, between the pre-industrial Era and the Present, with multi-proxies used in paleoceanography and sedimentology. A total of 10 box-cores were recollected and each of them was onboard sub-sampled for eDNA, enzymes and benthic foraminifera. Fifteen shipek grab samples were recollected at the Fontanelas seamount (Estremadura Spur), station CA6, to characterize the sedimentary cover and to evaluate the presence of deep cold-water corals. Preliminary results show that the stations CA7, CA8 and CA4, located close to the coast, as expected, are the most influenced by the coastal upwelling, exhibiting colder surface water, higher values of fluorescence, and more zooplankton content reflecting higher phyto-zooplankton concentrations, as typical of the upwelling waters. At station CA4 temperature was higher and fluorescence showed lower values, indicative of less phytoplankton, and interpreted as indicating a different upwelling source water from that upwelled further north. Based on the CTD data, the Cape Roca transect is more influenced by the subtropical East North Atlantic Central Water (ENACWst), while the Cape Finisterra transect is more under the influence of the subpolar branch (ENACWsp). Seafloor sediment samples showed significant differences between the stations. Along the northern transect (Cape Finisterra) the seafloor sediments show an increase in grain size from the offshore to the coast. The offshore stations CA3 and CA2 revealed finer grained sediments, CA8 were composed of coarser sand and the station CA7, the shallowest station 77 m, presented the sediment composed mainly of shell fragments and coarse grain sand. Along the southern transect (Cape Roca), the offshore station CA6 (Fontanelas seamount) has coarser sandy sediments with rock clasts and cold-water coral fragments, and the stations CA5 and CA4 with fine sand to muddy sediments. The detailed CA6 bathymetry allowed to verify the existence of small plateaus on the slope of the Fontanelas seamount, where the fossil cold-water corals fragments were found, suggesting that this area is a very interesting system deserving further study with a ROV, and to characterize the corals fields and verify if there are live corals. These recollected data and samples will allow not only to reconstruct the pH variability under different environmental conditions, but also to estimate the biogeochemical changes along the coastal ocean waters as the anthropogenic influence increases. These results will contribute to better understand and model the effects on the biota under the future expected oceans pH changes.

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    Authors: Buessler, Ken; CSIC - Unidad de Tecnología Marina (UTM);

    EXport Processes in the Ocean from Remote Sensing (EXPORTS) is a large-scale NASA-led field campaign that will provide critical information for quantifying the export and fate of upper ocean net primary production (NPP) using satellite observations and state of the art ocean technologies. The goal of EXPORTS is to understand how the organic carbon makes it to the twilight zone and deep ocean interior, and how lon it stays there, which is vital to understanding present and future ocean ecosystems and global climate. Oceanographic data acquired during the EXPORTS Cruise (29SG20210503) on board the Research Vessel Sarmiento de Gamboa in 2021.

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    Digital.CSIC
    Dataset . 2021
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      Dataset . 2021
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  • Authors: Balaguer-Benlliure, Victor; Roger, Moya; Johana, Gaitán-Alvarez;

    This data contents information about parental wood and charcoal characteristics of 16 tropical species growing in fast-growth condictions. The data details tha following characterist of parental wood: moisture content (PMC) and wood density (PWD). On the others hand the charcoal characteristics are: Density (CD), moisture content (CMC) and compression strength of charcoal, gross calorific value (GCV), ash and volatile matter and fixed carbon, Carbon (C), nitrogen (N), hydrogen (H), and oxygen (O) contents, C/N ratio, O/Cmol ratio and H/Cmol ratio. Besides it is presented FTIR spectra and the ignition temperature (Ti), the burnout temperature (Tf), the characteristic combustion index (S), the ignition index (Di), the time corresponding to the maximum combustion rate (tp), the ignition time (tig), and the average rate of combustion.

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    Authors: Muñoz, Alfonso; CSIC - Unidad de Tecnología Marina (UTM);

    The MARIBNO project is located in the NW zone of Iberia, which constitutes an ideal environment to raise the following main objectives: 1. Study of the cortical structure at the western end of the Cantabrian Mountains and the transition zone between the western and northern margins of Iberia. 2. Study of the tectonic control exerted by the previous structures during the two main alpine stages. 3. Mapping and characterization of cortical domains using a multidisciplinary approach. Definition and application of geophysical and geological criteria applicable to the zonation of cortical domains in other parts of the world with similar contexts. Oceanographic data acquired during the MARIBNO Cruise (29SG20210914) on board the Research Vessel Sarmiento de Gamboa in 2021.

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    Digital.CSIC
    Dataset . 2021
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      Digital.CSIC
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    Authors: Chunlüe Zhou; Cesar Azorin-Molina; Erik Engström; Lorenzo Minola; +4 Authors

    Creating a century-long homogenized near-surface wind speed (WS) observation dataset is essential to improve our knowledge about the uncertainty and causes of WS stilling and recovery. We rescued paper-based WS records dating back to the 1920s at 13 stations in Sweden and established a four-step homogenization procedure to generate the first 10-member centennial homogenized WS dataset (HomogWS-se) for community uses among climatology, ecology, hydrology and energy industry. HomogWS-se can be used to study the WS variability and change, assess climate reanalysis, and constrain climate simulations for better future projection of changes in the WS and wind energy potential. HomogWS-se contains 13 individual text files with 10-member century-long homogenized monthly WS series, as well as the member-mean series. {"references": ["Zhou, C., C. Azorin-Molina, E. Engstr\u00f6m, L. Wern, S. Hellstr\u00f6m, and D. Chen, 2022: A century-long homogenized dataset of near-surface wind speed observations since 1925 rescued in Sweden. Earth Syst. Sci. Data, 1-24, 10.5194/essd-2022-29."]}

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    ZENODO
    Dataset . 2022
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    ZENODO
    Dataset . 2022
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    ZENODO
    Dataset . 2022
    License: CC BY
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      Dataset . 2022
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      Dataset . 2022
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      ZENODO
      Dataset . 2022
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    Authors: Askins, Stephen; Nardin, Gaël; Ackermann, Mathieu; Gerlich, Florian; +1 Authors

    Dataset from the outdoor characterization of a B Series module from Insolight at the rooftop of the Instituto de Energía Solar - Universidad Politécnica de Madrid. These are measurements of a module of the same type as “Outdoor monitoring data of an Insolight B-series module - CPV sub-module” however, in the previous measurements the module was mounted on a two-axis tracker to benchmark its performance, while in these measurements, the module’s integrated planar micro tracking system was used. This data was presented at IEEE PVSC 46 in June 2019 in Chicago. See preprint of conference article. Monitoring campaign: Location: 40.453°N, -3.727°E. Instituto de Energía Solar, Universidad Politécnica de Madrid. 28040 Madrid, Spain. Fixed Mounting Angle: Due South, Slope Angle = 30° Starting date: 30 May 2019 End date: 14 June 2018 Description of data file: Data files format: single comma-separated text file; headers in first row; all of the following parameters; order below is the same as order in file Measurement time: the vector of times represents the times at which the Insolight module firmware sampled the current values of the III-V and Si outputs (measured simultaneously). Date Time (dd/mmm/yyyy HH:MM:SS): time in CEST / UTC+2 Measured meteorological data: these values are measured directly by the IES meteorological station with 1-minute resolution. They have been re-interpolated to match the measurement times. DNI (W/m2): direct normal irradiance as measured by a Normal Incidence Pyrheliometer from Eppley on a solar tracker. Spectral Range: 250-3000 nm. Field of view: 5° DNI_Top (W/m2): equivalent direct normal irradiance as measured by a top component cell of a lattice-matched III-V triple-junction cell in the ICU-3J35 Triband Spectro-heliometer from Solar Added Value on a solar tracker. Spectral range: 300 - 680 nm. Field of view: 5.7º DNI_Mid (W/m2): equivalent direct normal irradiance as measured by a middle component cell of a lattice-matched III-V triple-junction cell in the ICU-3J35 Triband Spectro-heliometer from Solar Added Value on a solar tracker. Spectral range: 680 - 900 nm. Field of view: 5.7º GNI (W/m2): global normal irradiance at the aperture plane as measured with a pyranometer on a solar tracker. Spectral range: 305 – 2800 nm. G(41°) (W/m2): Global Inclined Irradiance as measured with a pyranometer mounted facing due south and at a slope angle of 41° (near to local latitude). Spectral range: 305 – 2800 nm. T_Amb (°C): ambient temperature Wind Speed (m/s): wind speed Wind Dir. (m/s): wind direction Processed meteorological data: these values are calculated from the above meteorological data and provided for convenience DII (W/m2): Direct Inclined (plane of array) Irradiance corresponding to the module slope angle has been calculated using the sun’s known declination and hour angle from the time. GII (W/m2): The Global Inclined (plane of array) Irradiance is calculated by first calculating the DII(41°), that is the DII corresponding to the G(41°) measurement, and finding the Diffuse Inclined Irradiance Diff(41°) = G(41°) – DII(41°). It is assumed that the Diffuse Inclined Irradiance at 41° and 30° is equal, so GII = DII + Diff(41°). SMR_Top_Mid (n.d.): “Spectral Matching Ratio”. This is the ratio between DNI_Top and DNI_Mid. A value of unity indicates a spectrum that is equivalent to AM1.5D with regards to the energy balance between top and middle subcells. Measured module data: The module was placed in a short-ciruit condition and allowed to track using its integrated tracking system. The short circuit current was measured using shut resistors and integrated A/D channels. This hybrid module features both III-V micro cells (under concentration, with planar microtracking) and large area silicon solar cells (for diffuse capture). ISC_measured_IIIV (A): ISC_measured_Si (A) Estimated module data: As is explained in the IEEE PVSC 46 manuscript (see Preprint) the following values are estimated using the previously listed measured data. T_Backplane (°C) PMP_estimated_IIIV (W) PMP_estimated_Si (W)

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    ZENODO
    Dataset . 2019
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    Dataset . 2019
    License: CC BY
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    ZENODO
    Dataset . 2019
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      Dataset . 2019
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      Dataset . 2019
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      Dataset . 2019
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    Sheets with information on the FOODRUS KPIs, including: general description, calculation methodology, and observations.

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    ZENODO
    Dataset . 2024
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    Authors: Mission��rio, M; Fernandes, JF; Travesso, M; Freitas, E; +2 Authors

    This work was supported by project AquaMMIn (MAR-02.01.01-FEAMP-0038), co- funded by Portugal 2020 and the European Union through Mar2020, the Operational Programme (OP) for the European Maritime and Fisheries Fund (EMFF) in Portugal. MT and MM acknowledge the research grants funded within AquaMMIn project (DBIO/BL-5/AQUAMMIN-2021). Thanks are also due for the financial support to CESAM (UIDP/50017/2020+UIDB/50017/2020), to FCT/MEC through Scientific Employment Stimulus ��� Individual Call 2018 (CEECIND/01250/2018 to DM) and PhD scholarship call 2021 (2021.04675.BD to JFF), and to the co-funding by the FEDER, within the PT2020 Partnership Agreement and Compete 2020. Dataset on the upper thermal tolerance limits (Critical Thermal Maximum, CTmax) of male and female Palaemon varians shrimps collected from the salt pan complex of Marinha de Santiago da Fonte, Ria de Aveiro, Portugal (40 �� 37���44.5������N, 08 �� 39���37.3������W). Data on weight and lenght are also included. Temperature data for the sampling site were collected with a HOBO datalogger (water Temp Pro v2 U22-001, Onset, USA) and are also included. Dataset associated to the article https://doi.org/10.1016/j.jtherbio.2021.103151

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    ZENODO
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    Authors: João Soares; Fernando Lezama; Tiago Pinto; Hugo Morais;

    Editorial Complex Optimization and Simulation in Power Systems

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