Resultados totales (Incluyendo duplicados): 45603
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/125410
Dataset. 2015

CARBON DIOXIDE, HYDROGRAPHIC, AND CHEMICAL DATA OBTAINED DURING THE R/V SARMIENTO DE GAMBOA CRUISE IN THE NORTH ATLANTIC OCEAN ON CLIVAR REPEAT HYDROGRAPHY SECTION OVIDE-2012 (JUNE 23 - JULY 20, 2012)

  • Ríos, Aida F.
  • Pérez, Fiz F.
  • García-Ibáñez, Maribel I.
  • Fajar, Noelia
  • Gilcoto, Miguel
  • Alonso Pérez, Fernando
  • Paz, M. de la
  • Castaño, Mónica
  • Velo, A.
The item is made of 2 files, of which 1 is the dataset and the other include a small description of the measured variables.-- Aida F. Ríos ... et al.-- Dataset contributed to the Project Carbochange, This dataset gathers discrete measurements of CO2 (pH and alkalinity) and hydrographic variables (salinity, temperature, dissolved oxygen, nitrate, phosphate and silicate) obtained during the cruise CATARINA carried out along the OVIDE section from 23 June to 20 July 2012. pH was measured spectrophotometrically following the Clayton and Byrne (1993). This method consists on adding a dye solution to the seawater sample, so that the ratio between two absorbances at two different wavelengths is proportional to the sample pH. Alkalinity was measured using an automatic potentiometric titrator Titrando 809 Metrohm, with a Metrohm 6.0232.100 combination glass electrode and a Pt-1000 probe for temperature measurement following the methodology given by Pérez and Fraga (1987). Dissolved oxygen was analyzed following the widely applied Winkler method. Determinations of nitrate, phosphate and silicate were carried out following methods described by Hansen and Grassoff (1983) Salinity and Temperature were recorded with a CTD probe, CATARINA (CTM2010-17141), CARBOCHANGE, No

Proyecto: EC/FP7/264879
DOI: http://hdl.handle.net/10261/125410
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/125410
HANDLE: http://hdl.handle.net/10261/125410
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/125410
PMID: http://hdl.handle.net/10261/125410
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/125410
Ver en: http://hdl.handle.net/10261/125410
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oai:digital.csic.es:10261/125410

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/125416
Dataset. 2014

R/V SARMIENTO DE GAMBOA 24N_MALASPINA_2011 CRUISE CARBON DATA FROM THE CLIVAR/GO_SHIP REPEAT SECTION A5_2011 (JAN. 28 - MAR. 14, 2011)

  • Hernández Guerra, Alonso
  • Pérez, Fiz F.
  • Ríos, Aida F.
  • Fernández-Guallart, E.
  • Padín, X. A.
  • Vázquez Rodríguez, Marcos
The item is made of 2 files, of which 1 is the dataset and the other include a small description of the measured variables.-- Dataset contributed to the Project Carbochange, This dataset gathers discrete measurements of CO2 (pH and alkalinity) and hydrographic variables (salinity, temperature, dissolved oxygen, nitrate, phosphate and silicate) obtained during the cruise 24N_Malaspina carried out from 28 January to 14 March 2011. pH was measured spectrophotometrically following the Clayton and Byrne (1993). This method consists on adding a dye solution to the seawater sample, so that the ratio between two absorbances at two different wavelengths is proportional to the sample pH. Alkalinity was measured using an automatic potentiometric titrator Titrando 809 Metrohm, with a Metrohm 6.0232.100 combination glass electrode and a Pt-1000 probe for temperature measurement following the methodology given by Pérez and Fraga (1987). Dissolved oxygen was analyzed following the widely applied Winkler method. Determinations of nitrate, phosphate and silicate were carried out following methods described by Hansen and Grassoff (1983) Salinity and Temperature were recorded with a CTD probe, Project MALASPINA (CSD2008-00077) supported by Ministerio de Ciencia e Innovación, and project CARBOCHANGE (264879) supported by European Commission, No

Proyecto: EC/FP7/264879
DOI: http://hdl.handle.net/10261/125416
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/125416
HANDLE: http://hdl.handle.net/10261/125416
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/125416
PMID: http://hdl.handle.net/10261/125416
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/125416
Ver en: http://hdl.handle.net/10261/125416
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oai:digital.csic.es:10261/125416

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/126015
Dataset. 2015

HIGH BAT FATALITY RATES AT WIND FARMS IN SOUTHERN SPAIN

  • Sánchez-Navarro, Sonia
  • Ibáñez, Carlos
No

Proyecto: //
DOI: http://hdl.handle.net/10261/126015
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/126015
HANDLE: http://hdl.handle.net/10261/126015
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/126015
PMID: http://hdl.handle.net/10261/126015
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/126015
Ver en: http://hdl.handle.net/10261/126015
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oai:digital.csic.es:10261/126015

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/126572
Dataset. 2011

A 1970-2010 ARCHIVE OF CLIMATE SURFACES FOR THE IBERIAN PENINSULA

  • Ruiz Moreno, Alberto
  • Sanjuán, María E.
  • Barrio, G. del
This dataset will be permanently stored in Digital.CSIC. This DataSet is in Idrisi Raster Format and in latlong projection., This dataset is an archive of gridded surfaces of mean maximum, mean and mean minimum temperature, and precipitation, for the Iberian Peninsula. Temporal resolution is of 1 month, and spatial resolution is of 0.0089999994 degrees. The study area ranges from 43.8969994ºN through 35.5000000ºN, and from 9.6999998ºW through 3.5029993ºE. It covers continental Spain and Portugal. There is a total of 1920 grids (40 years x 12 months x 4 variables). The surfaces were interpolated using ANUSPLIN on georeferenced climate records drawn from the Spanish State Agency of Meteorology and the Portuguese Water Resources Information System. Variable networks of input stations were used to interpolate the surfaces, averaging 390 and 1877 points for temperature and precipitation respectively. A fixed configuration was used for all the interpolations: trivariate quadratic spline model with longitude, latitude and elevation as independent variables. A square root transformation was appied to precipitation fields to reduce skewness. The software was made to minimize the Generalized Cross Validation (GCV) error. The signal to data point ratio was below 50% for temperature surfaces, with many values between 25% and 35%. This suggests limitations in the number of input data points which may have resulted in a loss of detail on the interpolated surfaces. This is not necessarily bad in terms of broad spatial patterns, but it does indicate that absolute predictions should be used with caution for fine microclimatic patterns. Root generalized cross validation was usually lower than 1ºC for temperature, reaching up to 0.85ºC for summer months of mean maximum temperature. Absolute errors in precipitation did range from 4.41 mm in July to 12.82 mm in December, but the seasonal pattern of prediction errors was inverse and corresponded to 24% and 13% respectively., The following projects have funded this package: DeSurvey IP (ECFP6 Integrated Project contract No. 003950), DesertWatch (ESA DUE contract No. 18487/04/I-LG) and MesoTopos (Junta de Andalucia PE ref. P08-RNM-4023)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/126572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/126572
HANDLE: http://hdl.handle.net/10261/126572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/126572
PMID: http://hdl.handle.net/10261/126572
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Ver en: http://hdl.handle.net/10261/126572
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oai:digital.csic.es:10261/126572

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/127635
Dataset. 2009

DATASET USED IN THE PAPER: “BAUTISTA-CAPETILLO, C. F., SALVADOR, R., BURGUETE, J., MONTERO, J., TARJUELO, J. M., ZAPATA, N., GONZALEZ, J., AND PLAYÁN, E. 2009. COMPARING METHODOLOGIES FOR THE CHARACTERIZATION OF WATER DROPS EMITTED BY AN IRRIGATION SPRINKLER. TRANSACTIONS OF THE ASABE, 52(5), 1493-1504.”

  • Bautista-Capetillo, Carlos F.
  • Salvador Esteban, Raquel
  • Burguete Tolosa, Javier
  • Montero, J.
  • Tarjuelo, J. M.
  • Zapata Ruiz, Nery
  • González, J.
  • Playán Jubillar, Enrique
1 excel file with all data. This data set on drop analysis is completed with the OA data available in http://digital.csic.es/handle/10261/127640, [ES] Esta es la base de los datos experimentales usados en el artículo científico de referencia (Transactions of the ASABE, 52(5), 1493-1504 (2009), http://hdl.handle.net/10261/95479)., [EN] This is the experimental data used in the paper of reference (Transactions of the ASABE, 52(5), 1493-1504 (2009), http://hdl.handle.net/10261/95479)., This research was funded by the Plan Nacional de I+D+i of the Government of Spain (Grant No. AGL2007‐66716‐ C03). Carlos Bautista‐Capetillo received a scholarship from the Agencia Española de Cooperación Internacional para el Desarrollo (AECID)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/127635
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/127635
HANDLE: http://hdl.handle.net/10261/127635
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/127635
PMID: http://hdl.handle.net/10261/127635
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oai:digital.csic.es:10261/127635
Ver en: http://hdl.handle.net/10261/127635
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oai:digital.csic.es:10261/127635

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/127640
Dataset. 2009

DATASET USED IN THE PAPER: “SALVADOR, R., BAUTISTA-CAPETILLO, C., BURGUETE, J., ZAPATA, N. AND PLAYÁN, E. 2009. A PHOTOGRAPHIC METHODOLOGY FOR DROP CHARACTERIZATION IN AGRICULTURAL SPRINKLERS. IRRIGATION SCIENCE, 27: 307–317.”

  • Salvador Esteban, Raquel
  • Bautista-Capetillo, Carlos F.
  • Burguete Tolosa, Javier
  • Zapata Ruiz, Nery
  • Serreta Oliván, Alfredo
  • Playán Jubillar, Enrique
1 excel file with all data. This data set on drop analysis is completed with the OA data available in http://digital.csic.es/handle/10261/127635, [ES] Esta es la base de datos experimentales usada en el artículo de referencia (Irrigation Science, 27: 307–317 (2009), http://hdl.handle.net/10261/13602), [EN] This is the experimental data set used in the paper of reference ((Irrigation Science, 27: 307–317 (2009), http://hdl.handle.net/10261/13602), This research was funded by the Plan Nacional de I+D+i of the Government of Spain, through grant AGL2007-66716-C03. Carlos Bautista received a scholarship from the Agencia Española de Cooperación Internacional (AECI)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/127640
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/127640
HANDLE: http://hdl.handle.net/10261/127640
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/127640
PMID: http://hdl.handle.net/10261/127640
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/127640
Ver en: http://hdl.handle.net/10261/127640
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oai:digital.csic.es:10261/127640

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/127825
Dataset. 2016

TRANGENERATIONAL EFFECTS ENHANCE SPECIFIC IMMUNE RESPONSE IN A WILD PASSERINE [DATASET]

  • Broggi, Juli
  • Soriguer, Ramón C.
  • Figuerola, Jordi
Data was collected by Juli Broggi in la Cañada de los Pajaros, Puebla del Rio (Sevilla, Spain), and later analyzed at EBD (Sevilla,) following a detailed experimental design (Spring-summer 2010), Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/127825
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/127825
HANDLE: http://hdl.handle.net/10261/127825
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/127825
PMID: http://hdl.handle.net/10261/127825
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Ver en: http://hdl.handle.net/10261/127825
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oai:digital.csic.es:10261/127825

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128374
Dataset. 2016

WHEN PARASITES ARE GOOD FOR HEALTH: CESTODE PARASITISM INCREASES RESISTANCE TO ARSENIC IN BRINE SHRIMPS

  • Sánchez, Marta I.
  • Pons, Inés
  • Martínez-Haro, Mónica
  • Taggart, Mark A.
  • Lenormand, Thomas
  • Green, Andy J.
LC50 tests: Naturally infected and uninfected adults of A. parthenogenetica were collected with a plankton net (0.5 mm) within the Odiel saltpan complex. Sampling was carried out on two dates (14th of April and 15th of May 2014). Toxicity experiments were conducted after 24 h of acclimation of the Artemia at 100 g/l salinity. Two experiments were carried out. The first (with Artemia collected on 14th of April) was conducted at 25ºC. The second (Artemia collected on 15th of May) was conducted at both 25 and 29ºC. Median lethal concentration (LC50) was used to quantify Aresenic toxicity in infected and uninfected adult Artemia. Ten concentrations of As between 5 and 140 mg/l were used for the experiments at 25ºC (0, 5, 20, 35, 50, 65, 85, 95, 110, 125, 140 mg/l), and ten between 4 and 67 mg/l were used for the experiment at 29°C (0, 4, 11, 18, 25, 32, 39, 46, 53, 60, 67 mg/l) in order to estimate the LC50. Three replicates were used per concentration, with each replicate made up of a group of 10 individuals. Prevalence (P) and mean abundance (MA) were calculated separately for the “infected group” on both dates. Oxidative stress analysis and lipid droplet quantification: Artemia were sampled in May 2015 from Odiel salt ponds. A subsample was used to characterize the exact parasite composition (n = 60 infected individuals) and quantify the number of lipid droplets (n = 20 infected and 20 uninfected Artemia). The numbers of cysticercoids, prevalence, mean abundance and mean intensity were calculated for each cestode species. The number of lipid droplets was estimated according to Wurtsbaugh & Gliwicz 2001 [86]. We quantified lipid levels by inspecting individuals at 30x magnification and counting the number of lipid droplets along the right side of the 5th and 6th segments of the body. The rest of the specimens were acclimated during 24h to the experimental salinity with continuous aeration and fed ad libitum with lyophilized Tetraselmis chuii algae. The toxic concentrations of 4.69 mg/l As was selected on the basis of preliminary LC50 tests. Infected and uninfected A. parthenogenetica of the same size range were allocated to 1L glass vials (100 individuals per vial) with 600 ml of experimental solution (either control (no toxic solution) or 4.69 mg/L As) during 24h at 25 ºC (12:12 photoperiod) without food. After 24h exposure, individuals were stored at ‒80℃ until biochemical analysis. We performed the biochemical analysis on pools of 20 individuals per treatment. Number of replicates varied from 1 to 12 depending on Artemia availability. The different biomarkers were determined in the whole soft tissues after homogenization and centrifugation. We quantified five parameters as a proxy for oxidative status of Artemia: activity of four enzymes (catalase CAT, superoxide dismutase SOD, glutathione peroxidase GPx and glutathione reductase GR) and lipid peroxidation levels (thiobarbituric acid reactive substances TBARS). Total protein content in the supernatant fluid was determined following a standard Bradford’s procedure. Enzyme activity was determined colorimetrically., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/128374
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128374
HANDLE: http://hdl.handle.net/10261/128374
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oai:digital.csic.es:10261/128374
PMID: http://hdl.handle.net/10261/128374
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Ver en: http://hdl.handle.net/10261/128374
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128883
Dataset. 2016

PRESENCE OF NITROGEN-FIXING MICROORGANISMS IN SEAGRASS, POSIDONIA OCEANICA, ROOTS AND NITROGEN ISOTOPIC SIGNATURE OF SEAGRASS TISSUES

  • Garcias-Bonet, Neus
  • Arrieta López de Uralde, Jesús M.
  • Duarte, Carlos M.
  • Marbà, Núria
Triplicate samples of Posidonia oceanica were randomly collected at 26 locations along the Balearic Islands (Mediterranean Sea) during the summers of 2005 and 2006. Roots were subjected to a surface-sterilization protocol prior to nucleic acid extraction. The nitrogenase was amplified by PCR using degenerate primers for nifH gene sequences. The PCR products were checked by electrophoresis on 1.5% agarose gels. The youngest leaf (free of epiphytes) of three shoots and three young rhizome fragments were dried at 60ºC for 48 h and ground to a fine powder. All isotopic analyses were measured using standard elemental analyzer isotope ratio mass spectrometer (EA-IRMS) procedures. Isotopic ratios (R) are reported in the standard delta notation (‰), deltasample=1000((Rsample/Rstandard)-1), where R = 15N/14N. These results are presented with respect to the International standard of atmospheric nitrogen (AIR, N2). Analytical reproducibility of the reported delta values, based on sample replicates, was better than ±0.2‰., This dataset compiles information regarding the detection of nitrogen-fixing bacteria by amplification of the nifH gene coding for nitrogenase enzyme in meadows of an endemic Mediterranean seagrass (Posidonia oceanica). This dataset includes the nitrogen isotopic signature (δ15N) measured on leaves and rhizomes., This study was funded by the projects MEDEICG and ESTRESX of the Spanish Marine Science and Technology Program (CTM2009-07013, CTM2012-32603) under the framework of Spanish Plan Nacional 2008-2012., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/128883
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128883
HANDLE: http://hdl.handle.net/10261/128883
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oai:digital.csic.es:10261/128883
PMID: http://hdl.handle.net/10261/128883
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oai:digital.csic.es:10261/128883
Ver en: http://hdl.handle.net/10261/128883
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oai:digital.csic.es:10261/128883

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/128892
Dataset. 2016

SPEIBASE V.2.4 [DATASET]

  • Beguería, Santiago
  • Vicente Serrano, Sergio M.
  • Reig-Gracia, Fergus
  • Latorre Garcés, Borja
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. The Global SPEI database, SPEIbase, offers long-time, robust information on the drought conditions at the global scale, with a 0.5 degrees spatial resolution and a monthly time resolution. It has a multi-scale character, providing SPEI time-scales between 1 and 48 months. The Standardized Precipitatin-Evapotranspiration Index (SPEI) expresses, as a standardized variate (mean zero and unit variance), the deviations of the current climatic balance (precipitation minus evapotranspiration potential) with respect to the long-term balance. The reference period for the calculation, in the SPEIbase, corresponds to the whole study period. Being a standardized variate means that the SPEI condition can be compared across space and time. Calculation of the evapotranspiration potential in SPEIbase is based on the FAO-56 Penman-Monteith method. Data type: float; units: z-values (standard deviations). No land pixels are assigned a value of 1.0x10^30. In some rare cases it was not possible to achieve a good fit to the log-logistic distribution, resulting in a NAN (not a number) value in the database. Dimensions of the dataset: lon = 720; lat = 360; time = 1356. Resolution of the dataset: lon = 0.5º; lat = 0.5º; time = 1 month. Created in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI)., Global gridded dataset of the Standardized Precipitation-Evapotranspiration Index (SPEI) at time scales between 1 and 48 months.-- Spatial resolution of 0.5º lat/lon.-- This is an update of the SPEIbase v2.3 (http://hdl.handle.net/10261/104742).-- What’s new in version 2.4: 1) Data has been extended to the period 1901-2014 (it was 1901-2013 in v 2.3), based on the CRU TS3.23 dataset.-- For more details on the SPEI visit http://sac.csic.es/spei., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/128892
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HANDLE: http://hdl.handle.net/10261/128892
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Ver en: http://hdl.handle.net/10261/128892
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