Resultados totales (Incluyendo duplicados): 34357
Encontrada(s) 3436 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/261849
Dataset. 2022

[DATASET] LIPIDOMICS AND METABOLOMICS DATASETS FOR "ADVERSE EFFECTS OF ARSENIC UPTAKE IN RICE METABOLOME AND LIPIDOME REVEALED BY UNTARGETED LIQUID CHROMATOGRAPHY COUPLED TO MASS SPECTROMETRY (LC-MS) AND REGIONS OF INTEREST MULTIVARIATE CURVE RESOLUTION"

  • Jaumot, Joaquim
  • Pérez-Cova, Miriam
  • Tauler, Romà
Files description Raw files for lipidomics and metabolics studies on the impact of arsenic exposure on rice growth. File details on the worksheets lipids_files.xlsx and metabolomics_files.xlsx Files have been organized as follows: Lipidomics 1) Control samples: lip_controls.rar 2) Watering low As exposure: lip_water_1.rar 3) Watering high As exposure: lip_water_1000.rar 4) Soil low As exposure: lip_soil_5.rar 5) Soil high As exposure: lip_soil_50.rar 6) QC samples: lip_qcs.rar Metabolomics (positive ionization mode) 1) Control samples: met_pos_controls.rar 2) Watering low As exposure: met_pos_water_1.rar 3) Watering high As exposure: met_pos_water_1000.rar 4) Soil low As exposure: met_pos_soil_5.rar 5) Soil high As exposure: met_pos_soil_50.rar 6) QC samples: met_pos_qcs.rar Metabolomics (negative ionization mode) 1) Control samples: met_neg_controls.rar 2) Watering low As exposure: met_neg_water_1.rar 3) Watering high As exposure: met_neg_water_1000.rar 4) Soil low As exposure: met_neg_soil_5.rar 5) Soil high As exposure: met_neg_soil_50.rar 6) QC samples: met_neg_qcs.rar, Arsenic Exposure Arsenic was supplied through two main routes: watering with contaminated water or soil containing arsenic. In addition, this new study includes metabolomic as well as lipidomic analysis, in order to have a more global overview of arsenic exposure. For the watering treatment, during the first 11 days, rice was irrigated with Milli-Q water. From that day until harvesting, plants were watered with 1 and 1000 μM of As (V) for the two concentration levels of exposure, and with Milli-Q water for control samples. The lowest concentration was established at 1 μM as it is the limit of the acceptable arsenic concentration in water by European legislation. The upper concentration was set at 1000 μM, a threshold established to ensure that the experiment was performed under sub-lethal arsenic concentration for the plant, based on previous studies. For the soil treatment, two containers were prepared with 1 kg of soil two days before planting. Soil from the container was exposed to two arsenic concentration levels (5 and 50 mg L-1). Once sowing, rice was irrigated the whole growth period with a solution containing 0.001 μM of As (V). The lowest arsenic limit in this treatment was set at 5 mg L-1 as a maximum value of common arsenic leaches without toxic characteristics, although background soil content of arsenic varies between one and 40 ppm according to the US food and drug administration (FDA) report. The highest arsenic limit was established to 50 mg L-1, as a considerably high arsenic content in the soil, slightly above the maximum frequently encountered levels. Lipidomic Analysis The lipidomic analysis was performed using a Waters Acquity UPLC system (Waters Corporation, MA, USA), connected to a Waters LCT Premier orthogonal accelerated time of flight mass spectrometer (Waters), operated in both positive and negative electrospray (ESI) ionization modes. Full scan spectra were acquired from 50 to 1500 Da. The chromatographic column employed was a Kinetex C8 (100 x 2.1 mm, 1.7 μm) (Phenomenex) under the following conditions (already used in [47]): temperature at 30˚C, injection volume at 10 μL, and flow rate at 0.3 mL min-1. Mobile phases selected were (A) MeOH 1mM ammonium formate, and (B) H2O 2mM ammonium formate, both at 0.2% formic acid. The gradient started at 80% A, increased to 90% A in 3 min, from 3 to 6 min remained at 90% A, changed to 99 % A until minute 15, remained constant 1 min, and returned to initial conditions until minute 20. Metabolomic analysis The metabolomic analysis was performed using a Waters Acquity UPLC system connected to a Q-Exactive (Thermo Fisher Scientific, Hemel Hempstead, UK) equipped with a quadrupole-Orbitrap mass analyzer. Electrospray (ESI) was used as an ionization source in both positive and negative ion modes. Full scan mass range was set from m/z 90 to 1000, and all ion fragmentation (AIF) was performed with normalized collision energy (NCE) of 35 eV. The column employed was an HILIC TSK gel amide-80 column (250 x 2.0 mm i.d., 5 μm) provided by Tosoh Bioscience (Tokyo, Japan), under the following experimental conditions (already employed in [45]): flow rate at 0.15 mL min-1, at room temperature, and 5 μL injection volume. Mobile phases were (A) AcN, and (B) 5 mM ammonium acetate, adjusted at pH 5.5 with acetic acid. The gradient employed was: starting conditions at 25% B, then increased until 30% B in 8 min; a 60% B was reached at 10 min, held for 2 min more and then back to 25% B until minute 14 min; lastly, a re-equilibration step was added and from 14 to 20 min at 25% B., This research was funded by the Spanish Ministry of Science and Innovation (MCI, Grant CTQ2017-82598-P) and Severo Ochoa Project CEX2018-000794-S (funded by MCIN/AEI/ 10.13039/501100011033), and supported from the Catalan Agency for Management of University and Research Grants (AGAUR, Grant 2017SGR753). MPC was funded by a predoctoral FPU 16/02640 scholarship from the Spanish Ministry of Education and Vocational Training (MEFP)., Peer reviewed

DOI: http://hdl.handle.net/10261/261849
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/261849
HANDLE: http://hdl.handle.net/10261/261849
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/261849
PMID: http://hdl.handle.net/10261/261849
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/261849
Ver en: http://hdl.handle.net/10261/261849
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/261849

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/262244
Dataset. 2021

THERMAL ACCLIMATION AND ADAPTATION IN MARINE PROTOZOOPLANKTON AND MIXOPLANKTON [DATASET]

  • Calbet, Albert
  • Saiz, Enric
It is a contribution of the Marine Zooplankton Ecology Group (2017 SGR 87), Proper thermal adaptation is key to understanding how species respond to temperature. However, this is seldom considered in protozooplankton and mixoplankton experiments. In this work, we studied how two heterotrophic dinoflagellates (Gyrodinium dominans and Oxyrrhis marina), one heterotrophic ciliate (Strombidium arenicola), and one mixotrophic dinoflagellate (Karlodinium armiger) responded to warming, comparing strains adapted at 16, 19 and 22 °C and those adapted at 16 °C and exposed for 3 days at 19 and 22 °C (acclimated treatments). Neither CNP contents nor the corresponding elemental ratios showed straightforward changes with temperature, except for a modest increase in P contents with temperature in some grazers. In general, the performance of both acclimated and adapted grazers increased from 16 to 19 °C and then dropped at 22 °C, with a few exceptions. Therefore, our organisms followed the “hotter is better” hypothesis from 16 to 19 °C; above 19 °C, however, the results were variable. Despite the disparity in the responses between species and physiological rates, in general, it seems that 19 °C-adapted organisms performed better than acclimated-only organisms. However, at 22 °C, most species were at the limit of their metabolisms and were unable to fully adapt. Nevertheless, adaptation to higher temperatures conferred some advantages prior to sudden increases in temperature (up to 25 °C) that simulated a heatwave episode. In summary, adaptation to temperature seems to confer a selective advantage to protistan grazers within a narrow range (i.e., ca. 3 °C). Adaptation to much higher temperatures (i.e., 6 °C) does not confer any clear physiological advantage (with few exceptions; e.g., the mixotroph K. armiger), at least within the time frame of our experiments, This research was funded by Grant CTM2017-84288-R by Fondo Europeo de Desarrollo Regional (FEDER)/ Ministerio de Ciencia, Innovación y Universidades—Agencia Estatal de Investigación (AEI), and by Grant PID2020-118645RB-I00 by Ministerio de Ciencia e innovación (MCIN)/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”. With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Para 4 especies: Volumen (µm3/depredador), Tasa crecimiento (µ 1/d), Tasa de ingestion (cells/ind/d), Eficiencia bruta de crecimiento (GGE, %), Peer reviewed

DOI: http://hdl.handle.net/10261/262244
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/262244
HANDLE: http://hdl.handle.net/10261/262244
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/262244
PMID: http://hdl.handle.net/10261/262244
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/262244
Ver en: http://hdl.handle.net/10261/262244
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/262244

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263004
Dataset. 2022

MEDITERRANEAN SEAGRASS METABOLIC RATES

  • Hendriks, Iris E.
  • Escolano-Moltó, Anna
  • Vaquer-Sunyer, Raquel
  • Wesselmann, Marlene
  • Flecha, Susana
  • Marbà, Núria
[Geographic location of data collection] Mediterranean basin, seagrass meadows of Posidonia oceanica and Cymodocea nodosa in coastal regions, max. depth 17m., [File List] datacompilation_med_seagrass_metabolic_rates_hendriks.csv, readme.txt., [Relationship between files, if important] readme provides background information for csv datafile., [Additional related data collected that was not included in the current data package] dissolved nutrients for author data (available upon request)., [Description of methods used for collection/generation of data] Data on metabolic rates was extracted from the literature, through a literature search (March 2020) on SCOPUS and the Web of Science using the keywords “Posidonia”, OR “Cymodocea”, OR “Seagrass”, AND “Productivity”, OR “Metabolism” and manually screened for data on metabolism in the Mediterranean basin. This database was extended with unpublished data from the authors and data from dedicated sampling campaigns in 2016 in Mallorca (Western Mediterranean) and 2017 in the Eastern basin (Crete and Cyprus). We compiled data from multiparametric sensors, and data using the benthic chambers methodology with a temporal cover from 1982 to 2019., [Methods for processing the data] For benthic chambers, reported metabolic rates were extracted from the literature. For measurements with multiparametric sensors we used time series of dissolved oxygen (DO, in mg/L), salinity and temperature (C) measured in P. oceanica and/or C. nodosa meadows. With the time series of dissolved oxygen (DO), temperature (°C) and salinity we calculated the metabolic rates of the seagrass habitats using a modification of the model of Coloso et al., (2008) implemented in MATLAB (version 7.5. the Mathworks Inc.) explained in detail in Vaquer-Sunyer et al., (2012). Wind speed was estimated at each station for the same interval as oxygen measurements to predict k660 (air-sea gas transfer velocity for oxygen at 20º C and salinity 35) based on Kihm et al., (2010) and Cole et al., (1998). Schmidt number equations for seawater according to Wanninkhof (1992) were used for the k calculation from k660. As the cubic model equals the model proposed by Wanninkhof et al., (1999) for short-term winds this parameterization by Kihm et al., (2010) is used. Meteorological data (windspeed) for the deployment period was obtained from the Agencia Estatal de Meteorología (AEMET) for the stations in Mallorca, from the Cyprus Department of Meteorology for Cyprus sampling sites and from the Hellenic National Meteorological Service for the locations in Crete.--, [Standards and calibration information] Sensors were calibrated before each deployment; oxygen sensors (Hach LDOTM) were calibrated using the water saturated air method calibration. For validation of salinity, specific conductance calibrations were performed with 50.000uS/cm buffers. For depth measurements, pressure readings were corrected for specific conductance., [Environmental/experimental conditions] Coastal seagrass meadows with max. 17m depth., [Describe any quality-assurance procedures performed on the data] Negative respiration rates (oxygen production) at night for sensor deployments, were discarded as this was interpreted as an indication for the influence of lateral advection and passing of different water masses. Therefore, we trimmed the dataset to contain only measurements where this influence was not detected. Respiration rates were notated as oxygen consumption (positive values, literature reports differ in notation)., [People involved with sample collection, processing, analysis and/or submission, please specify using CREDIT roles https://casrai.org/credit/: Conceptual idea IEH and NM. Data collection in the field MW, SF, RVS, IEH, NM. Literature compilation IEH and AEM. Data curation AEM and IEH., [Data-specific information] 1. Number of variables: 21. 2. Number of cases/rows: 151. 3. Variable List: Reference, Journal, Methodology, Year, Month, Season, Site, Region, Latitude, Longitude, Species, Temperature_C, Salinity, Depth, NCP, NCP_SD, CR, CR_SD, GPP, GPP_SD, Wind_m_s. 4. Missing data codes: Empty cell. 5. Specialized formats or other abbreviations used: C (degree Celcius), SD (Standard Deviation), m_s (Meter per second). Depth in meter. Latitude and Longitude in Decimal Degrees (DD)., The data is a compilation of information on metabolic rates of Mediterranean seagrasses obtained by two different methodologies (benthic incubations and multiparametric sensors) from published literature and data from the authors., The Spanish Ministry of Economy and Competitiveness (Project MEDSHIFT, CGL2015-71809-P). Project RTI2018-095441-B-C21 (SUMAECO) from the Spanish Ministry of Science, Universities and Innovation. SF was supported by a “Margalida Comas” postdoctoral scholarship, funded by the Balearic Islands Government. Also funding was received from “projectes de recerca La Caixa en àrees estratègiques” (2018) through a grant to IEH at the University of the Balearic islands., datacompilation_med_seagrass_metabolic_rates_hendriks.csv, readme.txt, Peer reviewed

DOI: http://hdl.handle.net/10261/263004
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263004
HANDLE: http://hdl.handle.net/10261/263004
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263004
PMID: http://hdl.handle.net/10261/263004
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263004
Ver en: http://hdl.handle.net/10261/263004
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263004

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263173
Dataset. 2022

DATASET: PLASMA AND MILK METABOLOMICS IN LACTATING SHEEP DIVERGENT FOR FEED EFFICIENCY

  • Toral, Pablo G.
  • Abecia, L.
  • Hervás, Gonzalo
  • Yáñez Ruiz, David R.
  • Frutos, Pilar
This work was supported by the Junta de Castilla y León (JCyL, Spain; project CSI276P18). Cofunding by the European Regional Development Fund (ERDF/FEDER) is also acknowledged., No

Proyecto: //
DOI: http://hdl.handle.net/10261/263173
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263173
HANDLE: http://hdl.handle.net/10261/263173
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263173
PMID: http://hdl.handle.net/10261/263173
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263173
Ver en: http://hdl.handle.net/10261/263173
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263173

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263199
Dataset. 2022

RAW DATA CORRESPONDING TO THE FIGURES OF PAPER: “COMPARISON OF SOIL ORGANIC CARBON STOCKS EVOLUTION IN TWO OLIVE ORCHARDS WITH DIFFERENT PLANTING SYSTEM IN SOUTHERN SPAIN.”, PUBLISHED IN AGRICULTURE

  • Gómez Calero, José Alfonso
  • Reyna-Bowen, Lizardo
  • Fernández-Rebollo, Pilar
  • Soriano, Mª Auxiliadora
[Description of methods used for collection/generation of data] Field sampling by cores, laboratory analysis of organic carbin using Walkley Black., [Environmental/experimental conditions] Olive orchard., [Describe any quality-assurance procedures performed on the data] Laboratory calibration, peer-reviewed in SCI publication., Data from which all the figures have been plotted., PID2019-105793RB-I00 (Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación). SHui (European Commission Grant Agreement number: 773903). TUdi (European Commission Grant Agreement number 101000224). Severo Ochoa and María de Maeztu Program for Centers and Units of Excellence in R&D (Ref. CEX2019-000968-M, Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación). Fondos FEDER., With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2019-000968-M)., Peer reviewed

DOI: http://hdl.handle.net/10261/263199
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263199
HANDLE: http://hdl.handle.net/10261/263199
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263199
PMID: http://hdl.handle.net/10261/263199
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263199
Ver en: http://hdl.handle.net/10261/263199
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263199

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263305
Dataset. 2022

NUMERICAL_MODEL_WM_PERAL_ET_AL_2022

  • Peral, M.
  • Fernandez, Manel
  • Vergés, Jaume
  • Zlotnik, Sergio
  • Jimenez-Munt, Ivone
The geodynamic evolution of the Western Mediterranean related to the closure of the Ligurian-Tethys ocean is not yet fully resolved. We present a new 3D numerical model of double subduction with opposite polarities fostered by the inherited segmentation of the Ligurian-Tethys margins and rifting system between Iberia and NW Africa. The model is constrained by plate kinematic reconstructions and assumes that both Alboran-Tethys and Algerian-Tethys plate segments are separated by a NW-SE transform zone enabling that subduction polarity changes from SE-dipping in the Alboran-Tethys segment to NW-dipping in the Algerian-Tethys segment. The model starts about late Eocene times at 36.5 Ma and the temporal evolution of the simulation is tied to the geological evolution by comparing the rates of convergence and trench retreat, and the onset and end of opening in the Alboran Basin. Curvature of the Alboran- Tethys slab is imposed by the pinning of its western edge when reaching the end of the transform zone in the adjacent west-Africa continental block. The progressive curvature of the trench explains the observed regional stress reorientation changing from N-S to NW-SE and to E-W in the central and western regions of the Alboran Basin. The increase of the retreat rates from the Alboran- Tethys to the Algerian-Tethys slabs is compatible with the west-to-east transition from continental-to-magmatic-to-oceanic crustal nature and with the massive and partially synchronous calc-alkaline and alkaline magmatism. Alkaline magmatism is related to the induced sublithospheric mantle flow by the double subduction system depicting a NE-SW upwelling trend., This work is funded by the SUBTETIS (PIE-CSIC-201830E039, CSIC), ALORBE (PIE- CSIC-202030E310), GeoCAM (PGC2018-095154-B-I00, Spanish Government), Equinor R&T Fornebu (Norway), and the Generalitat de Catalunya grant (AGAUR 2017 SGR 847). We also thank the computer resources at MareNostrum and the technical support provided by the Barcelona Supercomputing Center (BSC) through several projects (AECT-2019-1-0013 and AECT-2019-2-0005). S. Z. has been funded by the Spanish Ministry through Grant DPI2017-85139-C2-2-R, by the Catalan Government through Grant 2017-SGR-1278, and by the EU's Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie Grant Agreement 777778. This work has been done in the framework of the Unidad Asociada of LACAN-UPC with CSIC and using the facilities of the Laboratory of Geodynamic Modeling from Geo3BCN-CSIC., Numerical experiments are named M1 and M2. M1: Alboran-Algerian system; M2: Alboran system, according to Figure S2 in Peral et al., 2022. Increasing numbers indicate different timesteps of each experiment., Peer reviewed

DOI: http://hdl.handle.net/10261/263305
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263305
HANDLE: http://hdl.handle.net/10261/263305
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263305
PMID: http://hdl.handle.net/10261/263305
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263305
Ver en: http://hdl.handle.net/10261/263305
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263305

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263685
Dataset. 2022

CARBON SYSTEM PARAMETERS IN THE WATER COLUMN OF THE STRAIT OF GIBRALTAR OVER 2005-2021: DATABASE GENERATED AT THE GIFT (GIBRALTAR FIXED TIME SERIES)

  • Huertas, I. Emma
  • Amaya-Vías, Silvia
  • Flecha, Susana
  • Makaoui, Ahmed
  • Pérez, Fiz F.
The database provides discrete measurements of carbon system parameters in water samples collected at 3 stations that form the marine time series GIFT during 33 oceanographic campaigns conducted over 2005–2021. Geographic coordinates of sampling stations are provided. Some physical data (i.e. pressure, temperature and salinity) are also included. Moreover, pH data obtained with a SAMI-pH sensor (Sunburst Sensors, LLC)) attached to a mooring line deployed in the Strait of Gibraltar for the years 2016 and 2017 are provided. During the cruises, a temperature and salinity profile was obtained with a Seabird 911Plus CTD probe. Seawater was subsequently collected for biogeochemical analysis using Niskin bottles immersed in an oceanographic rosette platform at variable depths (from 5 to 8 levels) depending on the instant position of the interface between the Atlantic and Mediterranean flows that was identified by CTD profiles. The biogeochemical variables shown in the database are pH in total scale at 25 °C (pHT25), total alkalinity (AT), and inorganic nutrients (phosphate, PO43and Silicate, SiO44−). pHT25 data were obtained by the spectrophotometric method with m-cresol purple as the indicator (Clayton & Byrne 1993). Samples were taken directly from the oceanographic bottles in 10 cm path-length optical glass cells and measurements were carried out with a Shimadzu UV-2401PC spectrophotometer containing a 25 °C-thermostated cells holder. Samples for AT analysis were collected in 500-ml borosilicate bottles, and poisoned with 100 μl of HgCl2-saturated aqueous solution and stored until measurement in the laboratory. AT was measured by potential titration according to Mintrop et al. (2000) with a Titroprocessor (model Metrohm 794 from 2005-2020 and model Metrothm 888 for 2021). Water samples (5 mL, two replicates) for inorganic nutrients determination were taken, filtered immediately (Whatman GF/F, 0.7 μm) and stored frozen for later analyses in the shore-based laboratory. Nutrients concentrations were measured with a continuous flow auto-analyzer using standard colorimetric techniques (Hansen & Koroleff 1999). 2. Methods for processing the data: 3. Instrument- or software-specific information needed to interpret/reproduce the data, please indicate their location: 4. Standards and calibration information, if appropriate: 5. Environmental/experimental conditions: 6. Describe any quality-assurance procedures performed on the data: 7. People involved with sample collection, processing, analysis and/or submission, please specify using CREDIT roles https://casrai.org/credit/: Chief Scientists -I.Emma Huertas/Susana Flecha; Hydro: Who -Susana Flecha/David Roque/Silvia Amaya-Vías/Angélica Enrique; Nuts: Who -Manuel Arjonilla/ Status - final; Silicate and Phosphate Autoanalizer Hansen and Koroleff (1999), This research was supported by the COMFORT project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 820989 (project COMFORT, "Our common future ocean in the Earth system – quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points).” Funding was also provided by the European projects CARBOOCEAN (FP6-511176), CARBOCHANGE (FP7-264879), PERSEUS (FP7-287600) and the Junta de Andalucía TECADE project (PY20_00293). The dataset is subject to a Creative Commons License Attribution-ShareAlike 4.0 International. F.F.P. was supported by the BOCATS2 (PID2019-104279GB-C21) project funded by MCIN/AEI/10.13039/501100011033. SAV was supported by a pre-doctoral grant FPU19/04338 from the Spanish Ministry of Science, Innovation and Universities., Peer reviewed

DOI: http://hdl.handle.net/10261/263685
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263685
HANDLE: http://hdl.handle.net/10261/263685
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263685
PMID: http://hdl.handle.net/10261/263685
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263685
Ver en: http://hdl.handle.net/10261/263685
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/263685

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264100
Dataset. 2022

INTRASPECIFIC VIRULENCE OF ENTOMOPATHOGENIC NEMATODES AGAINST THE PESTS FRANKLINIELLA OCCIDENTALIS (THYSANOPTERA: THRIPIDAE) AND TUTA ABSOLUTA (LEPIDOPTERA: GELECHIIDAE) [DATASET]

  • Campos-Herrera, R.
  • Vicente-Díez, Ignacio
  • Galeano, Magda
  • Chelkha, Maryam
  • González-Trujillo, M.
  • Puelles, Miguel
  • Labarga, David
  • Pou, Alicia
  • Calvo-Garrido, Javier
  • Belda, J. E.
The data were generated by the authors in independent experiments, all performed in the same conditions and installations. All the experiments were performed twice and the data corresponding with trials 1 and 2 of the same set was compared to allow combination in the statistical analysis. Each trial was performed with new and fresh nematodes and insects, Entomopathogenic nematodes (EPN) are excellent biocontrol agents against various insect pests. Novel biotechnological approaches can enhance their utility against insects above-ground, opening a new venue for selecting superior EPN against certain insects. We hypothesize that different populations of the same species but from different origins (habitat, ecoregion) will differ in their virulence. This study aimed to evaluate the virulence of various EPN populations against two pests of worldwide incidence and damage to high value crops: Frankliniella occidentalis (Thysanoptera: Thripidae) and Tuta absoluta (Lepidoptera: Gelechiidae). We tested 10 EPN populations belonging to three EPN species: Heterorhabditis bacteriophora (Koppert, MG-618b, AM-203, RM-102), Steinernema feltiae (Koppert, RS-5, AM-25, RM-107), and Steinernema carpocapsae (Koppert, MG-596a). Each EPN population was tested at two concentrations. Frankliniella occidentalis was tested at 160 and 80 IJs/cm2 and T. absoluta at 21 and 4 IJs/cm2. Control treatments followed the same experimental procedure but only adding distilled water. Overall, whenever different, higher IJs concentration resulted in lower adult emergence, higher larval mortality, and shorter time to kill the insects. Considering the low concentration, S. feltiae provided the best results for both insects and instars investigated, while H. bacteriophora and S. carpocapsae required a high concentration to reach similar or slightly better results. Differences among populations of each of the species were detected, but only the native populations of H. bacteriophora populations showed consistently higher control values against both insects/instar compared with the commercial one. Differences among S. feltiae and S. carpocapsae populations depended on the IJs concentration, insect, and instar. We consider S. feltiae a very promising species for their application against F. occidentalis and T. absoluta, with the Koppert population as the most consistent among the populations tested. Specific EPN-populations of S. carpocapsae and H. bacteriophora were good candidates against certain instar/insects at high concentrations. This study emphasized the importance of intraspecific variability for EPN virulence., Grants ICVV-CSIC and Koppert with the following references: 1) ref. 20194898 (ID CSIC 201912) 2) ref. 20200154 (ID CSIC 205137) 3) ref. 20202349 (ID CSIC 210825), 1) RCH is awarded by Ramon y Cajal contract award MCIN/AEI/10.13039/501100011033 and by “ESF Investing in your future”: Grant RYC-2016-19939 from the Government of Spain 2) IVD is supported with a FPI-UR (2021) fellowship (Universidad de La Rioja, Spain). 3) MC is supported by a Moroccan scholarship for the Ministry of National Education, Vocational Training, Higher Education and Scientific Research, and the travel assistance associated with the grant CSIC I-COOP + 2018 grant (COOPA20231). 4) MMGT is funded by the Program JAE-Intro CSIC call 2020 (JAEINT20_EX_0939). 5) MP and DL are funded by an introduction to research fellowship from Government of La Rioja (CAR 2020)., Peer reviewed

DOI: http://hdl.handle.net/10261/264100
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264100
HANDLE: http://hdl.handle.net/10261/264100
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264100
PMID: http://hdl.handle.net/10261/264100
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264100
Ver en: http://hdl.handle.net/10261/264100
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264100

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264167
Dataset. 2013

EL LABERINTO DE EL ESTRECHO DE TORRES: UNA PROPUESTA DE ELABORACIÓN DE MATERIAL CIENTÍFICO PARA SU TRANSFERENCIA AUDIOVISUAL. SELECCIÓN DE FUENTES BIBLIOGRÁFICAS Y DOCUMENTALES [DATASET]

  • Bas Pardo, María Luisa
  • Rodríguez López, Ana
  • Crespo Solana, Ana
Datos incluidos: Anexo 1. Selección bibliográfica Anexo 2. Selección bibliográfica / Extractos Anexo 3. Selección artículos publicaciones periódicas Anexo 4. Selección fuentes documentales Anexo 5. Índice temático Anexo 6. Fuentes documentales esenciales, El productor y distribuidor de cine, y gran aficionado a la historia, Javier de Garcillán, descubrió de manera fortuita, en un estudio sobre el geógrafo Alexander Dalrymple, la expedición capitaneada por Pedro Fernández de Quirós en 1605. Esta expedición, cuyo mando acabaría en manos del piloto de la segunda nave, Luis Báez de Torres, tras el abandono de Quirós y su regreso a Acapulco, conduciría al descubrimiento del estrecho en 1606, que posteriormente, tomaría el nombre del piloto, Estrecho de Torres. La extrañeza y sorpresa que produjo en Garcillán la intranscendencia de este hecho, junto a la casi ausencia de estudios de la historiografía española sobre esta “hazaña marinera”, estimularon la curiosidad del distribuidor. En torno a 1998, comenzó un trabajo de recopilación de fuentes que le llevó a visitar desde los grandes archivos, bibliotecas y librerías de nuestro país hasta los más importantes del continente australiano, pasando por todos aquellos de cualquier país (Italia, Estados Unidos, Gran Bretaña…) en los que pudiera “descubrir” nuevos documentos que arrojaran luz sobre este hecho histórico y que facilitaran el “acceso” al laberinto. Su objetivo “la publicación de un libro de gran formato y divulgación en una editorial comercial que sirviera de base a la elaboración y distribución de una película documental” quedó desgraciadamente cercenado con la muerte de Javier de Garcillán en el año 2007. En 2013, este extenso fondo documental llegó al CCHS - CSIC de la mano de la investigadora Ana Rodríguez y la productora López Li Films. En él hemos “buceado” con el objeto de destacar aquellas fuentes que “iluminen” el proceso del descubrimiento, “Esta investigación ha recibido financiada por el Ministerio de Economía y Competitividad (MINECO). Ref.: HAR2011-15924-E”, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/264167
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264167
HANDLE: http://hdl.handle.net/10261/264167
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264167
PMID: http://hdl.handle.net/10261/264167
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264167
Ver en: http://hdl.handle.net/10261/264167
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264167

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264347
Dataset. 2022

EFFECTS OF TEMPERATURE ON THE BIOENERGETICS OF THE MARINE PROTOZOANS GYRODINIUM DOMINANS AND OXYRRHIS MARINA [DATASET]

  • Calbet, Albert
  • Martínez, Rodrigo Andrés
  • Saiz, Enric
  • Alcaraz, Miquel
We aimed at studying the mechanisms underneath the ascending and descending sections of the thermal performance curves in marine protozoans. To do so, we exposed Gyrodinium dominans and two strains of Oxyrrhis marina from different origins to three temperatures representative of each section of the thermal response curve (12ºC, ascending section; 18ºC, top; 25ºC, descending section). As variables, we measured growth, ingestion, and respiration rates (this latter with and without food). The growth rates of O. marina strains plotted as a function of temperature showed a triangular response with maximum values at the intermediate temperature. However, G. dominans showed similar growth rates at 12 and 18ºC, and even if showed a marked decrease in growth rates at 25ºC, this was not significant. Ingestion rates were higher at 18ºC for all the strains. The respiration rates of G. dominans were unaffected by temperature, but the respiration rates of both O. marina strains increased with temperature. The specific dynamic action produced by feeding activity ranged from 2 to 20% of the daily carbon ingestion for all organisms investigated. The calculated energetic budget indicated that the responses to temperature were diverse, even within strains of the same species. G. dominans maintained similar growth at all temperatures by balancing anabolism and catabolism functions. In O. marina strains, on the other hand, the decrease in growth rates at the lowest temperature was driven mainly by reduced ingestion rates. However, increased respiration seemed the primary factor affecting the decrease in growth rates at the highest temperature. These results are discussed in the light of previous studies and on its suitability to understand the response of wild organisms to fluctuations in temperature, This research was funded by Grant PID2020-118645RB-I00 by Ministerio de Ciencia e innovación (MCIN)/AEI/ 10.13039/501100011033 and by “ERDF A way of making Europe”. R.A.M. was funded by a PhD fellowship from the National Commission of Science (CONICYT), Ministry of Education, Chile. It is a contribution of the Marine Zooplankton Ecology Group (2017 SGR 87). With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Para 3 especies de protozoos marino: Tasa de respiración con y sin comida (µmol O2/ind/h), Tasa crecimiento (µ 1/d), Tasa de ingestion (cells/ind/d), Eficiencia bruta de crecimiento (GGE, %), Peer reviewed

DOI: http://hdl.handle.net/10261/264347
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264347
HANDLE: http://hdl.handle.net/10261/264347
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264347
PMID: http://hdl.handle.net/10261/264347
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264347
Ver en: http://hdl.handle.net/10261/264347
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/264347

Buscador avanzado