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  • Energy Research
  • 13. Climate action
  • 14. Life underwater
  • Digital.CSIC

  • 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: Gili Sardà, Josep María; CSIC - Unidad de Tecnología Marina (UTM);

    The ECOREST_AUV campaign will focus on monitoring restored populations in closed areas and adjacent fishing grounds to assess the evolution of restored populations and monitor the evolution of ecosystem services provided, as well as the provision of habitat, breeding areas or a possible spillover effect of closed areas in adjacent areas. Oceanographic data acquired during the ECOREST_AUV Cruise (29GD20230602) on board the Research Vessel García del Cid in 2023.

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    Digital.CSIC
    Dataset . 2023
    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/ Recolector de Cienci...arrow_drop_down
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      Digital.CSIC
      Dataset . 2023
      Data sources: Digital.CSIC
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    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: 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: 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: Puig, Pere; CSIC - Unidad de Tecnología Marina (UTM);

    Assessment of fishing grounds Restoration after a Change of bottom trawling Otter boards (ARCO). The main objective of the ARCO project is to study the current sedimentary processes related with trawling activity in the Palamós submarine canyon after the change of trawl doors by the Palamós harbor fleet. The impacts of this type of fishing in deep-sea environments are considered very high due to their intensity and recurrence, and to the fact that sediment dynamics are less energetic and the benthonic ecosystems are more vulnerable and have less resilience than in neritic or shelf environments Oceanographic data acquired during the ARCO Cruise (29GD20230626) on board the Research Vessel García del Cid in 2023.

    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/ Recolector de Cienci...arrow_drop_down
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    Digital.CSIC
    Dataset . 2023
    Data sources: Digital.CSIC
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      Digital.CSIC
      Dataset . 2023
      Data sources: Digital.CSIC
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    Authors: Ramirez F; Rodriguez C; Seoane J; Figuerola J; +1 Authors

    Global warming and direct anthropogenic impacts, such as water extraction, are largely affecting water budgets in Mediterranean wetlands, thereby increasing wetland salinities and isolation, and decreasing water depths and hydroperiods (duration of the inundation period). These wetland features are key elements structuring waterbird communities. However, the ultimate and net consequences of these dynamic conditions on waterbird assemblages are largely unknown. We combined a regular sampling on waterbird presence through the 2008 annual cycle with in-situ data on these relevant environmental predictors of waterbird distribution to model habitat selection for 69 individual species in a typical Mediterranean wetland network in south-western Spain. Species association with environmental features were subsequently used to predict changes in habitat suitability for each species under three climate change scenarios (encompassing changes in environment that ranged from 10% to 50% change as predicted by climatic models). Waterbirds distributed themselves unevenly throughout environmental gradients and water salinity was the most important gradient structuring the distribution of the community. Environmental suitability for the guilds of diving birds and vegetation gleaners will be reduced according to future climate scenarios, while most small wading birds will benefit from changing conditions. Resident species and those that breed in this wetland network will be also more impacted than those using this area for wintering or stopover. We provide here a tool that can be used in a horizon-scanning framework to identify emerging issues on waterbird conservation and to anticipate suitable management actions : Datasets as supporting information to article “How will climate change affect endangered Mediterranean waterbirds?” to be published in PLOS ONE. Address questions to Francisco Ramírez: ramirez@ub.edu

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    Digital.CSIC
    Dataset . 2017
    License: CC BY
    Data sources: Datacite
    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/
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    BioStudies
    Dataset . 2018
    Data sources: BioStudies
    Digital.CSIC
    Dataset . 2017 . Peer-reviewed
    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/ Digital.CSICarrow_drop_down
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      Digital.CSIC
      Dataset . 2017
      License: CC BY
      Data sources: Datacite
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      BioStudies
      Dataset . 2018
      Data sources: BioStudies
      Digital.CSIC
      Dataset . 2017 . Peer-reviewed
      Data sources: Digital.CSIC
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    Authors: Hermann Behling; John Carson; Bronwen S. Whitney; William D. Gosling; +12 Authors

    Abstract. An improved understanding of present-day climate variability and change relies on high-quality data sets from the past 2 millennia. Global efforts to model regional climate modes are in the process of being validated against, and integrated with, records of past vegetation change. For South America, however, the full potential of vegetation records for evaluating and improving climate models has hitherto not been sufficiently acknowledged due to an absence of information on the spatial and temporal coverage of study sites. This paper therefore serves as a guide to high-quality pollen records that capture environmental variability during the last 2 millennia. We identify 60 vegetation (pollen) records from across South America which satisfy geochronological requirements set out for climate modelling, and we discuss their sensitivity to the spatial signature of climate modes throughout the continent. Diverse patterns of vegetation response to climate change are observed, with more similar patterns of change in the lowlands and varying intensity and direction of responses in the highlands. Pollen records display local-scale responses to climate modes; thus, it is necessary to understand how vegetation–climate interactions might diverge under variable settings. We provide a qualitative translation from pollen metrics to climate variables. Additionally, pollen is an excellent indicator of human impact through time. We discuss evidence for human land use in pollen records and provide an overview considered useful for archaeological hypothesis testing and important in distinguishing natural from anthropogenically driven vegetation change. We stress the need for the palynological community to be more familiar with climate variability patterns to correctly attribute the potential causes of observed vegetation dynamics. This manuscript forms part of the wider LOng-Term multi-proxy climate REconstructions and Dynamics in South America – 2k initiative that provides the ideal framework for the integration of the various palaeoclimatic subdisciplines and palaeo-science, thereby jump-starting and fostering multidisciplinary research into environmental change on centennial and millennial timescales.

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    CORE
    Article . 2016
    License: CC BY
    Data sources: CORE
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    CORE
    Article . 2016
    License: CC BY
    Data sources: CORE
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    CORE
    Article . 2016
    License: CC BY
    Data sources: CORE
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    Climate of the Past (CP)
    Article . 2016 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    Climate of the Past (CP)
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    Climate of the Past
    Other literature type . 2018
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    Climate of the Past
    Article . 2016
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    https://dx.doi.org/10.60692/ph...
    Other literature type . 2016
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    https://dx.doi.org/10.60692/0y...
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    Digital.CSIC
    Article . 2016 . Peer-reviewed
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      Climate of the Past (CP)
      Article . 2016 . Peer-reviewed
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      Climate of the Past (CP)
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      Climate of the Past
      Other literature type . 2018
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      Climate of the Past
      Article . 2016
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      https://dx.doi.org/10.60692/ph...
      Other literature type . 2016
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      https://dx.doi.org/10.60692/0y...
      Other literature type . 2016
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      Digital.CSIC
      Article . 2016 . Peer-reviewed
      Data sources: Digital.CSIC
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    Authors: R. Ranero, César; CSIC - Unidad de Tecnología Marina (UTM);

    Study of the structure of the crust and uppermost mantle from NW Africa and West Iberia using wide-angle seismic data and streamer seismic records of the continental margin and the deep water basin. Oceanographic data acquired during the ATLANTIS Cruise (29SG20220613) on board the Research Vessel Sarmiento de Gamboa in 2022.

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    Digital.CSIC
    Dataset . 2022
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      Digital.CSIC
      Dataset . 2022
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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: Masó, G.; Fitze, P.S.;

    Whether and how differences in environmental predictability affect life-history traits is controversial and may depend on mean environmental conditions. Moreover, robust evidence for the effects of differences in environmental predictability is scarce and limited to extreme events. Thus, the consequences of the currently observed and forecasted climate-change induced reduction of precipitation predictability are largely unknown. Here we experimentally tested whether and how changes in the predictability of precipitation affect growth, reproduction, and survival by exposing European common lizard Zootoca vivipara populations to more and to less predictable precipitation. Predictability of precipitation affected growth and body condition of adults, and the timing of reproduction in one of the three study years, in line with the idea that effects of environmental predictability depend on mean environmental conditions. While adults were able to compensate the treatment effects, yearlings and juvenile females were not able to compensate negative effects of less predictable precipitation on growth and body condition, respectively. Treatment differences among age-classes cannot be explained by inter-age-class competition, but rather reflect differences among age-classes in the sensitivity to environmental predictability. This indicates that integrating differences in environmental sensitivity, and changes in averages and the predictability of climatic variables will be key for understanding if species may cope with the current climatic change. This document in Excel formate (.xlsx) contains the data used for the analyses presented in the following article: Masó et al. 2019 Scientific Reports. On the first sheet the all variables appearing on the following sheets are listed. Their meaning is explained and if the variable is a factor, the factor levels are indicated. The Spanish Ministry of Education through the National Program FPU (FPU 13/03291) supported G.M.F. Funds were provided by the Ministerio de Ciencia, Investigación y Universidades (CGL2008-01522, CGL2012-32459, CGL2016-76918P AEI/FEDER, UE to P.S.F.). Swiss National Science Foundation (PPOOP3_128375, PP00P3_152929/1). Peer reviewed

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    Digital.CSIC
    Dataset . 2019
    Data sources: Datacite
    Digital.CSIC
    Dataset . 2019 . Peer-reviewed
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      Digital.CSIC
      Dataset . 2019
      Data sources: Datacite
      Digital.CSIC
      Dataset . 2019 . 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: Beguería, Santiago; Vicente Serrano, Sergio M.;

    Format: raw binary. The raw binary archive is composed of 576 zipped files, corresponding to the SPEI index at time scales between 1 and 48 months for the whole World and divided by decades (except the last file, containing only data for the period 2001-2006). Each zipped file contains three files, one with the data itselt (.img), and two headers (.doc and .hdr). The information contained in the header files is equivalent, and allows direct access to the data using some widely used commercial programs. Naming convention: spei[tempscale]_[decade].zip, where [tempscale] is a number between 1 and 48 indicating the temporal scale of the index (months), and [decade] indicates the years of data contained in the file. Example: spei12_1910-1919.zip. All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types. A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types. The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. Use of the newest version is recommended. Older versions are still available to allow replicability. The dataset is freely available on the web repository of the Spanish National Research Council (CSIC) in three different formats (NetCDF, binary raster, and plain text).

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    Digital.CSIC
    Dataset . 2010
    Data sources: Datacite
    Digital.CSIC
    Dataset . 2010
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      Digital.CSIC
      Dataset . 2010
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      Dataset . 2010
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    Authors: Gili Sardà, Josep María; CSIC - Unidad de Tecnología Marina (UTM);

    The ECOREST_AUV campaign will focus on monitoring restored populations in closed areas and adjacent fishing grounds to assess the evolution of restored populations and monitor the evolution of ecosystem services provided, as well as the provision of habitat, breeding areas or a possible spillover effect of closed areas in adjacent areas. Oceanographic data acquired during the ECOREST_AUV Cruise (29GD20230602) on board the Research Vessel García del Cid in 2023.

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    Digital.CSIC
    Dataset . 2023
    Data sources: Digital.CSIC
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      Digital.CSIC
      Dataset . 2023
      Data sources: Digital.CSIC
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    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: 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: 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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    Authors: Puig, Pere; CSIC - Unidad de Tecnología Marina (UTM);

    Assessment of fishing grounds Restoration after a Change of bottom trawling Otter boards (ARCO). The main objective of the ARCO project is to study the current sedimentary processes related with trawling activity in the Palamós submarine canyon after the change of trawl doors by the Palamós harbor fleet. The impacts of this type of fishing in deep-sea environments are considered very high due to their intensity and recurrence, and to the fact that sediment dynamics are less energetic and the benthonic ecosystems are more vulnerable and have less resilience than in neritic or shelf environments Oceanographic data acquired during the ARCO Cruise (29GD20230626) on board the Research Vessel García del Cid in 2023.

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    Digital.CSIC
    Dataset . 2023
    Data sources: Digital.CSIC
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      Digital.CSIC
      Dataset . 2023
      Data sources: Digital.CSIC
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    Authors: Ramirez F; Rodriguez C; Seoane J; Figuerola J; +1 Authors

    Global warming and direct anthropogenic impacts, such as water extraction, are largely affecting water budgets in Mediterranean wetlands, thereby increasing wetland salinities and isolation, and decreasing water depths and hydroperiods (duration of the inundation period). These wetland features are key elements structuring waterbird communities. However, the ultimate and net consequences of these dynamic conditions on waterbird assemblages are largely unknown. We combined a regular sampling on waterbird presence through the 2008 annual cycle with in-situ data on these relevant environmental predictors of waterbird distribution to model habitat selection for 69 individual species in a typical Mediterranean wetland network in south-western Spain. Species association with environmental features were subsequently used to predict changes in habitat suitability for each species under three climate change scenarios (encompassing changes in environment that ranged from 10% to 50% change as predicted by climatic models). Waterbirds distributed themselves unevenly throughout environmental gradients and water salinity was the most important gradient structuring the distribution of the community. Environmental suitability for the guilds of diving birds and vegetation gleaners will be reduced according to future climate scenarios, while most small wading birds will benefit from changing conditions. Resident species and those that breed in this wetland network will be also more impacted than those using this area for wintering or stopover. We provide here a tool that can be used in a horizon-scanning framework to identify emerging issues on waterbird conservation and to anticipate suitable management actions : Datasets as supporting information to article “How will climate change affect endangered Mediterranean waterbirds?” to be published in PLOS ONE. Address questions to Francisco Ramírez: ramirez@ub.edu

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    Digital.CSIC
    Dataset . 2017
    License: CC BY
    Data sources: Datacite
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    BioStudies
    Dataset . 2018
    Data sources: BioStudies
    Digital.CSIC
    Dataset . 2017 . Peer-reviewed
    Data sources: Digital.CSIC
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      Digital.CSIC
      Dataset . 2017
      License: CC BY
      Data sources: Datacite
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      BioStudies
      Dataset . 2018
      Data sources: BioStudies
      Digital.CSIC
      Dataset . 2017 . Peer-reviewed
      Data sources: Digital.CSIC
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    Authors: Hermann Behling; John Carson; Bronwen S. Whitney; William D. Gosling; +12 Authors

    Abstract. An improved understanding of present-day climate variability and change relies on high-quality data sets from the past 2 millennia. Global efforts to model regional climate modes are in the process of being validated against, and integrated with, records of past vegetation change. For South America, however, the full potential of vegetation records for evaluating and improving climate models has hitherto not been sufficiently acknowledged due to an absence of information on the spatial and temporal coverage of study sites. This paper therefore serves as a guide to high-quality pollen records that capture environmental variability during the last 2 millennia. We identify 60 vegetation (pollen) records from across South America which satisfy geochronological requirements set out for climate modelling, and we discuss their sensitivity to the spatial signature of climate modes throughout the continent. Diverse patterns of vegetation response to climate change are observed, with more similar patterns of change in the lowlands and varying intensity and direction of responses in the highlands. Pollen records display local-scale responses to climate modes; thus, it is necessary to understand how vegetation–climate interactions might diverge under variable settings. We provide a qualitative translation from pollen metrics to climate variables. Additionally, pollen is an excellent indicator of human impact through time. We discuss evidence for human land use in pollen records and provide an overview considered useful for archaeological hypothesis testing and important in distinguishing natural from anthropogenically driven vegetation change. We stress the need for the palynological community to be more familiar with climate variability patterns to correctly attribute the potential causes of observed vegetation dynamics. This manuscript forms part of the wider LOng-Term multi-proxy climate REconstructions and Dynamics in South America – 2k initiative that provides the ideal framework for the integration of the various palaeoclimatic subdisciplines and palaeo-science, thereby jump-starting and fostering multidisciplinary research into environmental change on centennial and millennial timescales.

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    CORE
    Article . 2016
    License: CC BY
    Data sources: CORE
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    CORE
    Article . 2016
    License: CC BY
    Data sources: CORE
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    CORE
    Article . 2016
    License: CC BY
    Data sources: CORE
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    Climate of the Past (CP)
    Article . 2016 . Peer-reviewed
    License: CC BY
    Data sources: Crossref
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    Climate of the Past (CP)
    Article
    License: CC BY
    Data sources: UnpayWall
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    Climate of the Past
    Other literature type . 2018
    Data sources: Copernicus
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    Climate of the Past
    Article . 2016
    Data sources: DOAJ
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    https://dx.doi.org/10.60692/ph...
    Other literature type . 2016
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    https://dx.doi.org/10.60692/0y...
    Other literature type . 2016
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    Digital.CSIC
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      Climate of the Past (CP)
      Article . 2016 . Peer-reviewed
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      Climate of the Past (CP)
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      Climate of the Past
      Other literature type . 2018
      Data sources: Copernicus
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      Climate of the Past
      Article . 2016
      Data sources: DOAJ
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      https://dx.doi.org/10.60692/ph...
      Other literature type . 2016
      Data sources: Datacite
      https://dx.doi.org/10.60692/0y...
      Other literature type . 2016
      Data sources: Datacite
      Digital.CSIC
      Article . 2016 . Peer-reviewed
      Data sources: Digital.CSIC
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    Authors: R. Ranero, César; CSIC - Unidad de Tecnología Marina (UTM);

    Study of the structure of the crust and uppermost mantle from NW Africa and West Iberia using wide-angle seismic data and streamer seismic records of the continental margin and the deep water basin. Oceanographic data acquired during the ATLANTIS Cruise (29SG20220613) on board the Research Vessel Sarmiento de Gamboa in 2022.

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    Digital.CSIC
    Dataset . 2022
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      Digital.CSIC
      Dataset . 2022
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    Authors: Masó, G.; Fitze, P.S.;

    Whether and how differences in environmental predictability affect life-history traits is controversial and may depend on mean environmental conditions. Moreover, robust evidence for the effects of differences in environmental predictability is scarce and limited to extreme events. Thus, the consequences of the currently observed and forecasted climate-change induced reduction of precipitation predictability are largely unknown. Here we experimentally tested whether and how changes in the predictability of precipitation affect growth, reproduction, and survival by exposing European common lizard Zootoca vivipara populations to more and to less predictable precipitation. Predictability of precipitation affected growth and body condition of adults, and the timing of reproduction in one of the three study years, in line with the idea that effects of environmental predictability depend on mean environmental conditions. While adults were able to compensate the treatment effects, yearlings and juvenile females were not able to compensate negative effects of less predictable precipitation on growth and body condition, respectively. Treatment differences among age-classes cannot be explained by inter-age-class competition, but rather reflect differences among age-classes in the sensitivity to environmental predictability. This indicates that integrating differences in environmental sensitivity, and changes in averages and the predictability of climatic variables will be key for understanding if species may cope with the current climatic change. This document in Excel formate (.xlsx) contains the data used for the analyses presented in the following article: Masó et al. 2019 Scientific Reports. On the first sheet the all variables appearing on the following sheets are listed. Their meaning is explained and if the variable is a factor, the factor levels are indicated. The Spanish Ministry of Education through the National Program FPU (FPU 13/03291) supported G.M.F. Funds were provided by the Ministerio de Ciencia, Investigación y Universidades (CGL2008-01522, CGL2012-32459, CGL2016-76918P AEI/FEDER, UE to P.S.F.). Swiss National Science Foundation (PPOOP3_128375, PP00P3_152929/1). Peer reviewed

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    Digital.CSIC
    Dataset . 2019
    Data sources: Datacite
    Digital.CSIC
    Dataset . 2019 . Peer-reviewed
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      Digital.CSIC
      Dataset . 2019
      Data sources: Datacite
      Digital.CSIC
      Dataset . 2019 . Peer-reviewed
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    Authors: Beguería, Santiago; Vicente Serrano, Sergio M.;

    Format: raw binary. The raw binary archive is composed of 576 zipped files, corresponding to the SPEI index at time scales between 1 and 48 months for the whole World and divided by decades (except the last file, containing only data for the period 2001-2006). Each zipped file contains three files, one with the data itselt (.img), and two headers (.doc and .hdr). The information contained in the header files is equivalent, and allows direct access to the data using some widely used commercial programs. Naming convention: spei[tempscale]_[decade].zip, where [tempscale] is a number between 1 and 48 indicating the temporal scale of the index (months), and [decade] indicates the years of data contained in the file. Example: spei12_1910-1919.zip. All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types. A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html A monthly global dataset of a multiscalar drought index is presented and compared in terms of spatial and temporal variability with the existing continental and global drought datasets based on the Palmer drought severity index (PDSI, scPDSI). The new dataset is based on the standardized precipitation evapotranspiration index (SPEI). The index was obtained from the CRU TS3.0 data, covering time scales from 1 to 48 months for the period 1901-2006, and has a spatial resolution of 0.5°. The advantages of the new dataset are that: i) it improves the spatial resolution of the unique global drought dataset at a global scale; ii) it is spatially and temporally comparable to other datasets, given the probabilistic nature of the SPEI, and, in particular; iii) it enables identification of various drought types, given the multiscalar character of the SPEI. More details at: http://www.eead.csic.es/spei/spei.html All currently available gridded drought datasets at continental and global scales are based on either the PDSI or the sc-PDSI. A new global drought dataset based on the Standardised Precipitation-Evapotranspiration Index (SPEI) has been developed, which covers time scales from 1-48 months at a spatial resolution of 0.5°, and provides temporal coverage for the period 1901-2006. This dataset represents an improvement in spatial resolution and operative capability of previous gridded drought datasets based on the PDSI, and enables identification of various drought types. The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. Use of the newest version is recommended. Older versions are still available to allow replicability. The dataset is freely available on the web repository of the Spanish National Research Council (CSIC) in three different formats (NetCDF, binary raster, and plain text).

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    Digital.CSIC
    Dataset . 2010
    Data sources: Datacite
    Digital.CSIC
    Dataset . 2010
    Data sources: Digital.CSIC
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      Digital.CSIC
      Dataset . 2010
      Data sources: Datacite
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      Dataset . 2010
      Data sources: Digital.CSIC
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