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Digital.CSIC. Repositorio Institucional del CSIC
Dataset

INTRODUCCIÓN A LA FLORA DE LOS BOSQUES DEL VALLE DE VALDEBEZANA (BURGOS). [DATASET]

  • Galán, Javier
  • García Antón, Mercedes
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/202652
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/202652
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/202652
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/202652
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Digital.CSIC. Repositorio Institucional del CSIC
Dataset

REDNESS ASSOCIATES WITH INTER-INDIVIDUAL DIFFERENCESIN BEHAVIOUR AND HORMONE PROFILES IN MALE SCOPS OWLS (OTUS SCOPS) [DATASET]

  • Cruz-Miralles, Ángel
  • Avilés, Jesús M.
  • Chastel, Olivier
  • Expósito-Granados, Mónica
  • Parejo, Deseada
Todos los años, a partir de la última semana de abril, se visitaron las cajas nido una vez por semana hasta que se detectó la puesta de huevos. Tras de la eclosión de los huevos, se visitaron los nidos semanalmente para registrar los parámetros reproductivos. La captura de adultos para este estudio se realizó a mano, mientras dormía en el nido en el caso de las hembras y, en el caso de los machos, con trampas para nidos cuando llevan alimento para los pollos. Todos los individuos se marcaron con anillas metálicas y fueron sexados según la placa de incubación (solo presente en hembras). Además, tras la captura, se fotografió a todos los adultos para la asignación de color, se extrajeron muestras de sangre y se recogieron plumas para evaluar el perfil de corticosterona y se midió la tasa de respiraciones por minuto. Además se midió la territorialidad de los machos como el tiempo que tardaron en responder al canto de otro macho en su territorio, así como la duración de esta respuesta. Para ello se emitieron cantos de machos adultos en el entorno del nido. En el caso de las hembras, se grabó su comportamiento de respuesta frente al investigador al visitarlas en el nido. Adicionalmente, se realizaron grabaciones internas en todos los nidos durante el periodo nidícola de los pollos, de las que se extrajeron datos sobre el tiempo de latencia en retornar al nido de ambos progenitores y las tasas de cebas aportadas al nido., This work was founded by Spanish Ministry of Economy and Competitiveness by the projects CGL2008-00718, CGL2011-27561, CGL2014-56769-P and CGL2017-83503-P. ACM was supported by the Spanish Ministry of Economy and Competitiveness (BES-2015-074948). DP was supported by the government of Extremadura (TA13002)., Parental care data; Behavioural traits and corticosterone levels data, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/202672
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/202672
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/202672
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/202672
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Digital.CSIC. Repositorio Institucional del CSIC
Dataset

NESTS DATASET, MELANISM INFLUENCES THE USE OF SOCIAL INFORMATION IN A POLYMORPHIC OWL. NESTS [DATASET]

  • Parejo, Deseada
  • Avilés, Jesús M.
The study was funded by the Spanish Ministries of Education and Science/FEDER and of Economy and Competitiveness, respectively, through the projects CGL2011-27561/BOS, CGL2014-56769-P and CGL2017-83503-P and by the Government of Extremadura through the contract TA13002 to D.P., Nest_ID Nest identification Treatment Experimental treatment applied to each nest Year Year of study Analysis_Nest Variable indicating data to analyse data per nest because each row represents a chick Laying date Laying date of the first egg within each nest Clutch size Total number of eggs in a clutch No. of fledglings No. of chicks that fledged per nest Predation_nest Variable showing whether a nest were predated (1) or not (0) Chick_ID Chick identification Fledging_weight Weight of chicks just before fledging Mean_fledgling_weight Mean weight of fledglings per nest Fledgling_NAbs Nabs level of each chick Mean_Nabs_fledglings Mean Nab level of chicks per nest Fledgling_success Variable showing whether a chick fledged (1) or not (0) Female_ID Female identification Female_color Female color as brownish (1) versus greyish (0) Male_ID Male identification Male_color Male color as brownish (1) versus greyish (0), Peer reviewed

Proyecto: //

Digital.CSIC. Repositorio Institucional del CSIC
Dataset

PARENTAL CARE [DATASET], MELANISM INFLUENCES THE USE OF SOCIAL INFORMATION IN A POLYMORPHIC OWL. PARENTAL CARE [DATASET]

  • Parejo, Deseada
  • Avilés, Jesús M.
Social information use has well-known fitness benefits. However, causes underlying the apparent inter-individual variability in the propensity to use social information are poorly studied. Melanins are pigments responsible for most of intra-specific color variation in vertebrates and their variation is often associated with changes in behaviour. Here, we explored whether melanism is related to individual propensity to use social information in the color polymorphic scops owl Otus scops. We manipulated social information on predation risk at nests by broadcasting calls of the sympatric little owl Athene noctua and found that owlets of brownish females exposed to alarm calls had lower levels of natural antibodies than those of greyish females. In parallel, we found changes in parental behaviour contingent on coloration because when exposed to the risky treatment brownish females returned earlier to nests than greyish females and owlets raised by brownish females were fed with smaller prey than those raised by greyish ones. These results provide support for a previous ignored role of melanins on the propensity to use social information, which may help to explain the maintenance of melanin-based color polymorphisms wherever social environments are variable., The study was funded by the Spanish Ministries of Education and Science/FEDER and of Economy and Competitiveness, respectively, through the projects CGL2011-27561/BOS, CGL2014-56769-P and CGL2017-83503-P and by the Government of Extremadura through the contract TA13002 to D.P., Nest_ID Nest identification Treatment Experimental treatment applied to each nest Year Year of study Laying date Laying date of the first egg within each nest Pre-treatment recording time Recording time before the application of the treatment to calculate provisioning rate During-treatment recording time Recording time during the application of the treatment to calculate provisioning rate Pre-treatment male latency Time elapsed from the onset of filming before treatment until the male returned to its normal activities During-treatment male latency Time elapsed from the onset of filming during treatment until the male returned to its normal activities Change in male latency Difference in male latency between during- and pre-treatment periods Pre-treatment female latency Time elapsed from the onset of filming before treatment until the female returned to its normal activities During-treatment female latency Time elapsed from the onset of filming during treatment until the female returned to its normal activities Change in female latency Difference in female latency between during- and pre-treatment periods Pre-treatment female provisioning rate Female provisioning rate during the pre-treatment period During-treatment female provisioning rate Female provisioning rate during the treatment Change in female provisioning rate Difference in female provisioning rate between during- and pre-treatment periods Pre-treatment male provisioning rate Male provisioning rate during the pre-treatment period During-treatment male provisioning rate Male provisioning rate during the treatment Change in male provisioning rate Difference in male provisioning rate between during- and pre-treatment periods Pre-treatment prey size Size of the provisioned prey (separated by commas) during the pre-treatment period Pre-treatment mean prey size Mean size of all the provisioned prey during the pre-treatment period During-treatment prey size Size of the provisioned prey (separated by commas) during treatment During-treatment mean prey size Mean size of all the provisioned prey during the treatment Change in prey size Difference in mean prey size between during- and pre-treatment periods Female_ID Female identification Female_color Female color as brownish (1) versus greyish (0) Male_ID Male identification Male_color Male color as brownish (1) versus greyish (0), Peer reviewed

Proyecto: //

Digital.CSIC. Repositorio Institucional del CSIC
Dataset

IBERBRYO - IBERIAN MOSSES OCCURRENCES DATASET

  • Ronquillo, Cristina
  • Medina, Nagore G.
  • Mazimpaka, Vicente
  • Hortal, Joaquín
[EN] Dataset of publicly available biodiversity information of mosses records for the Iberian Peninsula (mainland Portugal and Spain, plus the Balearic Islands, Andorra and Gibraltar). It contains 82,582 occurrences result of the compilation, cleaning, enrichment and validation from the Global Biodiversity Information Facility (GBIF; Access on 8 August 2018 for Spain and Portugal, and 9 October 2018 for Andorra and Gibraltar; phylum=Bryophyta), and 2 available PhD catalogues of Spain (Cezón, K. & Muñoz J.(2013). Catálogo de los musgos de Castilla La Mancha (España), J. Bol. Soc. Esp. Briol. 40-41:15-41; and Medina, N.G.; Mazimpaka, V.; Hortal, J. & Lara (2015). Catálogo de los briófitos epífitos que crecen en bosques de quercíneas del cuadrante noroccidental ibérico’, F. Bol. Soc. Esp. Briol. 44-45: 1-30.). This database was created to assess and quantify the knowledge of the distribution information of Iberian mosses and defining their biases and gaps., [ES] Conjunto de datos con los 82512 registros disponibles públicamente de presencias de musgos en la península Ibérica (incluyendo Portugal y España peninsular con las Islas Baleares, Andorra y Gibraltar). Son el resultado de la compilación, limpieza, validación y enriquecimiento de datos presentes en el portal de datos de biodiversidad 'Global Biodiversity Information Facility' (GBIF; Acceso el 8 agosto 2018 para España y Portugal, y 9 octubre 2018 para Andorra y Gibraltar; phylum=Bryophyta) y los catálogos de Cezón, K. y Muñoz J. (2013). Catálogo de los musgos de Castilla La Mancha (España), J. Bol. Soc. Esp. Briol. 40-41:15-41; y Medina, N.G.; Mazimpaka, V.; Hortal, J. & Lara (2015). Catálogo de los briófitos epífitos que crecen en bosques de quercíneas del cuadrante noroccidental ibérico’, F. Bol. Soc. Esp. Briol. 44-45: 1-30.). Esta base de datos fue creada con el objetivo de realizar análisis de sesgos y déficits de conocimiento en los musgos de la península Ibérica (Ronquillo et al, not published)., This work is part of the project UNITED Unifying niches, interactions and distributions: A common theoretical framework for geographic range dynamics and local coexistence (CGL2016-78070-P, funded by AEI/FEDER, UE)., Peer reviewed

Proyecto: //

Digital.CSIC. Repositorio Institucional del CSIC
Dataset

[DATASET] UNTARGETED LIPIDOMICS SHOWS THE ABILITY OF BPA, BPF AND BADGE·2HCL TO ALTER LIPID METABOLISM IN ZEBRAFISH LIVER CELLS (ZFL).

  • Marqueño, Anna
ZFL cells were exposed to BPA (5, 20, 50 µM), BPF (5, 20, 50 µM) and BADGE·2HCl (1, 5, 10 µM) for 24 hours and intracellular lipids were measured by UHPLC-HRMS/MS using a Q-Exactive Orbitrap as a mass spectrometer., Lipids identified in ZFL cells using UHPLC-HRMS/MS and LipidMatch flow for data treatment. The file contains molecular formulae, m/z ratio, retention time and lipid subclass at the maximum intensity for each lipid. It also includes a column entitled ID Ranked (1=Data-Dependent (top 30) MS/MS fragment m/z match, 3=Headgroup m/z match (class-ID))., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/204413
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/204413
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/204413
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/204413
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Digital.CSIC. Repositorio Institucional del CSIC
Dataset

BEAK COLOURATION OF STARLING (STURNUS UNICOLOR) MALES [DATASET]

  • Azcárate-García, Manuel
  • Ruiz-Rodríguez, Magdalena
  • Ruiz-Castellano, Cristina
  • Tomás, Gustavo
  • Martín-Vivaldi, Manuel
  • Soler, Juan José
  • Díaz-Lora, Silvia
Study area and study species The study was conducted during the years 2015, 2016 and 2017 in a south-eastern region of Spain (Hoya de Guadix, 37º15’N, 3º01’W), where nest-boxes attached to tree trunks or walls at 3–4 m above-ground are available for starlings to breed in (for further information on the study area see Soler et al. (2017)). In the studied starling population, the reproductive season starts in early April and most individuals lay a second clutch during May-June. The most common clutch size is 62 plants to the nest, which have been shown to have antimicrobial-beneficial functions4-5 eggs. Here, we will focus on the colouration of the base of the beak, a trait with a more marked sexual differentiation as we can see in its reflectance at different wavelengths (Fig. 1). Fieldwork and experimental procedure In this population, courtship activity (e.g. singing, introducing fresh green plants and feathers in nest boxes) starts in February, more than one month before egg laying (pers. obs.). During this period, some birds roost in nest-boxes and we take advantage ofthis fact for conducting yearly bird trapping sessions in the study area (twice a year between February and mid-March). One hour before dawn, we closed the entrance of all nest boxes in the study area, and immediately after dawn, we captured by hand all individuals found roosting inside. Captured birds were kept individually in clean cotton bags hanging from a stick to keep birds quiet, and were released immediately after sampling. The maximum time that a captured starling was in the bag did never exced three hours. We explored the possible effect of time that birds were kept in the bag on bird colouration and body condition measures of the males that we recaptured by classifying them as being kept in the bag less than 1 hour (N(males) = 10), between 1 and 2 hours (N = 5), and between 2 and 3 hours (N = 7). After controlling for the effect of date of first and last capture, time between captures, treatment and size of throat feathers in the first capture, results showed that retaining time 184 in first captures did not significantly affect blue, red-yellow, or brightness colouration of the beak of males (F1,15 < 2.66, P > 0.124), nor body condition (F1, 10 = 2.19, P = 0.170) in subsequent captures. It neither had any apparent long-term consequences (see Ruiz-Rodríguez et al. (2015)), nor imply apparent negative effects on breeding performance of captured birds (Soler et al. 2008), This work was supported by the currently named Ministerio de Ciencia,es and European (FEDER) funds (GL2013C-48193-C3-1-P, CGL2017-83103-P Innovación Universidad, CGL2017-89063-P). MAG was financed by a predoctoral contract (BES-2014-068661) from the Spanish Ministerio de Economía y Competitividad, and GT by the Ramón y Cajal Programme, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/204845, http://dx.doi.org/10.13039/501100003329
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/204845, http://dx.doi.org/10.13039/501100003329
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/204845, http://dx.doi.org/10.13039/501100003329
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/204845, http://dx.doi.org/10.13039/501100003329
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Digital.CSIC. Repositorio Institucional del CSIC
Dataset

ARIOS DATABASE: AN ACIDIFICATION OCEAN DATABASE FOR THE GALICIAN UPWELLING ECOSYSTEM

  • Pérez, Fiz F.
  • Velo, A.
  • Padín, X. A.
  • Doval, M. Dolores
  • Prego, R.
This dataset is composed of 2 files. Main one is the data set itself (arios_database_hy1.csv) in WHP-Exchange bottle format, with 1421 samples of temperature, salinity, oxygen, nutrients, pH, alkalinity, and chlorophyll. The other file (readme_ARIOSDATABASE.txt) includes a short description of the the database and calculated variables, The data are provided under an Attribution-ShareAlike 4.0 International license. However, if you use the data, so as to support the authors, please consider citing the above mentioned article where data collection and analytical techniques are given in detail. Here we only give a brief details and a guide to the contents of the data files, The ARIOS project (Acidification in the Rias and the Iberian Continental Shelf) included among its tasks the compilation and analysis of the historical record of the measurements of the carbon system and associated parameters carried out by the Instituto de Investigaciones Mariñas (IIM-CSIC) in Vigo (Spain) that gathers 3,343 oceanographic stations and 17,653 discrete samples between 1976 and 2018, This unique collection that gathers biogeochemical data from 24 oceanographic projects and cruises between 40º N and 45º N, 11ºW and the Galician coast in the last 40 years is a departure point to evaluate the acidification in the Galician coastal upwelling system. All ARIOS measurements passed a first quality control of hydrographic data through the specific software of the GO-SHIP program (Global Program of Hydrographic Investigations in Oceanographic Ships) that compiles various quality control procedures (Velo et al., 2019). The database also displays a quality indicator for each measurement. The different methodologies used in the ARIOS database changed over time following the scientific and technical advances in chemical oceanography from 1976 to 2018. The most important changes are as follows: Temperature: - From 1976 to 1984, the temperature measured with a Wallace and Tiernan bathylograph - From 1984 to 1990, inverted thermometers were used, correcting the temperature with protected and unprotected thermometers according to Anderson (1974). - After 1990, different CTD models were used to obtain the thermohaline profile. Salinity: - Salinity measurements were made with an AUTOSAL 8400A inductive salinometer calibrated with normal IAPSO water and using the equations provided by UNESCO (1981). The estimated analytical error was 0.003. Oxygen: - In 1981, the oxygen concentration was measured by first time using the Winkler's titration method following Culberson et al. (1991) - During the 80s and early 90s, the titration was performed with Metrohm instruments (E-425 or E-473) with an analytical error of 1 μmol kg-1. - After 1997, the oxygen concentration was estimated using a Titrino 720 analyzer (Metrohm) with an accuracy of 0.5 μmol kg-1. Nutrients: - Nitrate: Measured with an ALPKEM autoanalyzer as described in Strickland and Parsons (1968) using Cd-Cu reduction (Mouriño and Fraga 1985). Accuracy of 0.1 μmol / kg. - Phosphate: Measured with an ALPKEM autoanalyzer following Hansen and Grasshof (1983) and achieving an accuracy of 0.01 μmol / kg, - Silicate: Measured with an ALPKEM autoanalyzer following Hansen and Grasshof (1983) and achieving an accuracy of 0.05 μmol / kg. Total alkalinity: - In 1981, alkalinity was measured for the first time by potentiometric titration with 0.1N HCl at final pH 4.44, following Pérez and Fraga (1987a) with an analytical error of 2 μmol / kg and an accuracy of 0.1%. - Beginning in 2001, certified reference material (CRM) samples provided by Dr. A. Dickson from the University of California were used in the alkalinity analysis that improved the accuracy to ± 1.4 μmol/kg and accuracy to <0.1%. pH: - From 1976 to 1986, the pH was measured with a Metrohm E-510 pH instrument with a glass and reference reference Ag/ClAg calibrated with 7.413 NBS buffer. All pH values ​​were converted to values ​​at 15 ºC using two different temperature corrections: 1) between 1976 and 1984, the Buch and Nynas tables published by Barnes (1959) and 2) between 1984 and 1986 following Pérez and Fraga (1987 ). - From 1976 to 2001, pH was measured with a Metrohm E-654 pH meter with Orion 81-04 Ross combined glass electrode. The pH was converted to SWS scale using the hydrogen activity coefficient provided by Mehrbach et al. (1973) at 25ºC with the parameterization given by Pérez and Fraga (1987b). The error of the potentiometric method was 0.010. - After 2001, the pH measurements were spectrophotometric following Clayton and Byrne (1993) and subsequently adding 0.0047 to the pH value to do so (DelValls and Dickson, 1998). The precision of the spectrophotometric measurements was 0.003 pH units. Chla: - Chla was measured using a Turner 10000R fluorometer. Between 1976 and 1984 on Schleicher and Scholl 602eh filters of 6 cm in diameter and later with Whatman GF / C filters of 2.5 cm. The precision was 0.05 g / L, CSIC y Plan Nacional de I+D del Gobierno de España, 1 data csv ‘ARIOSDATABASE.csv’ file and 1 readme.txt file, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/205135
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/205135
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/205135
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/205135
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Digital.CSIC. Repositorio Institucional del CSIC
Dataset

DISSOLVED ORGANIC CARBON IN THE WATER COLUMN OF THE STRAIT OF GIBRALTAR OVER 2008-2015: DATABASE GENERATED AT THE GIFT (GIBRALTAR FIXED TIME SERIES)

  • Huertas, I. Emma
  • Flecha, Susana
  • Otero, Jaime
  • Álvarez-Salgado, Xosé Antón
The database provides measurements of carbon system parameters in water samples collected at 3 stations that form the marine time series GIFT during 12 oceanographic campaigns conducted over 2008-2015. Some physical data (i.e. pressure, temperature and salinity) are also included., During the cruises, a temperature and salinity profile was obtained with a Seabird 911 Plus CTD probe. The accuracy of CTD measurements for temperature and salinity were 0.004 ºC and 0.005, respectively. 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 Dissolved Organic Carbon (DOC), Dissolved Oxygen (DO) and inorganic nutrients (nitrate, NO3−; Silicate, SiO44−; phosphate, PO43-). DO concentration was obtained through automated potentiometric modification of the original Winkler method using the Titroprocessor. Upon collection, flasks were sealed, stored in darkness and measured within 24 h, with an accuracy of 0.5 micromol/kg. Seawater samples for DOC determination were collected in 0.25 L acid–cleaned glass bottles and immediately filtered through precombusted (450 °C, 4 h) Whatman GF/F filters with an acid–cleaned all–glass filtration system previously rinsed with about 50 mL of the sample. Aliquots of 20 mL were collected for DOC analysis in precombusted (450 °C, 12 h) 24 mL glass vials. After acidification with H3PO4 (85%) to pH <2, they were sealed with Teflon-lined caps and stored in the dark at 4 °C until analysed in the shore-based laboratory with a commercial Shimadzu TOC-VCPH organic carbon analyser according to Alvarez-Salgado & Miller (1998). Water samples (5 mL, two replicates) for inorganic nutrients determination were collected, filtered immediately (Whatman GF/F, 0.7 μm) and stored frozen for later analyses in the shore-based laboratory with a continuous flow auto-analyzer using standard colorimetric techniques (Hansen & Koroleff 1999). Chlorophyll analysis was conducted by filtering 0.5 L samples through Whatman GF/F filters, extracting in 90% acetone, and measuring concentration by standard fluorometric methods (Parsons et al., 1984) using a Turner Designs Model 10 fluorometer., The data is provided as [space] delimitated plain text file within a compressed folder that also includes a single README file (in PDF format) containing a detailed description of the data structure., The dataset is subject to a Creative Commons License Attribution-ShareAlike 4.0 International., [General Notes] The data are provided under an Attribution-ShareAlike 4.0 International license. However, if you use the data, so as to support the authors, please consider citing the above mentioned article where data collection and analytical techniques are given in detail. Here we only give a brief details and a guide to the contents of the data files. Data files are in UTF8 encoding, plain text format with comma used as the delimiter. All data files have column titles as the first line. One column is written for each measured parameter. Missing data are filled with -9. All variables but temperature have a quality flag associated with them. The values each digit can assume and their meanings follows:, Quality Indicators: Flag Meaning, 1 not quality controled, 2 good data, 3 suspect (i.e. questionable) data, 4 bad data, 5 missing data, 9 variable not measured during this cast., [Biogeochemical variables] GIFT_dissolved_organic_carbon_2008-2015.csv provides data from cruises conducted between 2008 and 2015. Temperature and salinity were measured in situ with a Seabird 911 Plus CTD probe. Concentrations of oxygen, dissolved organic carbon, chlorophyll and dissolved nutrients were measured in the laboratory., This data set includes data collected between 2008 and 2015 that have been used to estimate the exchange of dissolved organic carbon between the Atlantic Ocean and the Mediterranean Sea through the Strait of Gibraltar (Long:-5.345, Lat: 36.137, Datum:WSG84) and to assess the seasonality of the fluxes., 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).” Other European grants providing financial support were CARBOOCEAN (FP6-511176), CARBOCHANGE(FP7-264879), SESAME (FP6-036949) and PERSEUS (FP7-287600)., Peer reviewed

DOI: http://hdl.handle.net/10261/205367, http://dx.doi.org/10.13039/501100000780
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/205367, http://dx.doi.org/10.13039/501100000780
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/205367, http://dx.doi.org/10.13039/501100000780
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/205367, http://dx.doi.org/10.13039/501100000780
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Digital.CSIC. Repositorio Institucional del CSIC
Dataset

[DATASET] TIME-LAPSE CROSS-HOLE ELECTRICAL RESISTIVITY TOMOGRAPHY (CHERT) FOR MONITORING SEAWATER INTRUSION DYNAMICS IN A MEDITERRANEAN AQUIFER

  • Palacios, Andrea
  • Ledo, Juanjo
  • Linde, Niklas
  • Luquot, Linda
  • Bellmunt, Fabian
  • Folch, Albert
  • del Val, Laura
  • Bosch, David
  • Pezard, Philippe A.
  • Marcuello, Alex
  • Martínez, Laura
  • Queralt, Pilar
  • Carrera, Jesús
The corresponding 2.5D electrical forward and inverse problem is solved on an unstructured mesh with tetrahedral elements using BERT (Boundless Electrical Resistivity Tomography) (Rucker et al. 2006, Gunther et al. 2006) and pyGIMLi (Generalized Inversion and Modeling Library) (Rucker et al. 2017)., Surface electrical resistivity tomography (ERT) is a widely used tool to study seawater intrusion (SWI). It is noninvasive and offers a high spatial coverage at a low cost, but it is strongly affected by decreasing resolution with depth. We conjecture that the use of CHERT (cross-hole ERT) can partly overcome these resolution limitations since the electrodes are placed at depth, which implies that the model resolution does not decrease in the zone of interest. The objective of this study is to evaluate the CHERT for imaging the SWI and monitoring its dynamics at the Argentona site, a well-instrumented field site of a coastal alluvial aquifer located 40 km NE of Barcelona. To do so, we installed permanent electrodes around boreholes attached to the PVC pipes to perform time-lapse monitoring of the SWI on a transect perpendicular to the coastline. After two years of monitoring, we observe variability of SWI at different time scales: (1) natural seasonal variations and aquifer salinization that we attribute to long-term drought and (2) short-term fluctuations due to sea storms or flooding in the nearby stream during heavy rain events. The spatial imaging of bulk electrical conductivity allows us to explain non-trivial salinity profiles in open boreholes (step-wise profiles really reflect the presence of fresh water at depth). By comparing CHERT results with traditional in situ measurements such as electrical conductivity of water samples and bulk electrical conductivity from induction logs, we conclude that CHERT is a reliable and cost-effective imaging tool for monitoring SWI dynamics., This work was funded by the project CGL2016-77122-C2-1-R/2-R of the Spanish Government.We would like to thank SIMMAR (Serveis Integrals de Manteniment del Maresme) and the Consell Comarcal del Maresme in the construction of the research site. This project also received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant 480 Agreement No 722028. Author Albert Folch is a “Serra-Húnter Fellow”., Name of raw data files: chert_argentona_1.txt chert_argentona_2.txt chert_argentona_3.txt chert_argentona_4.txt chert_argentona_5.txt chert_argentona_6.txt chert_argentona_7.txt chert_argentona_8.txt chert_argentona_9.txt chert_argentona_10.txt chert_argentona_11.txt chert_argentona_12.txt chert_argentona_13.txt chert_argentona_14.txt chert_argentona_15.txt chert_argentona_16.txt chert_plus_surfaceert_argentona.txt Content of raw data files: List of electrodes X and Z positions (with topography), and list of quadripoles (a, b, m, n) with measured resistance (r), error (err), geometric factor (k), and apparent resistivity (rhoa). This files are formatted to go through the BERT program for 2.5D ERT modeling and inversion. The “chert_plus_surfaceert_argentona.txt” raw file combines cross-hole and surface ERT data from Sep 8th, 2015. Name of inverse data files: chert_argentona_sigma_model_1.vector chert_argentona_ sigma_model_2. vector chert_argentona_ sigma_model_3. vector chert_argentona_ sigma_model_4. vector chert_argentona_ sigma_model_5. vector chert_argentona_ sigma_model_6. vector chert_argentona_ sigma_model_7. vector chert_argentona_ sigma_model_8. vector chert_argentona_ sigma_model_9. vector chert_argentona_ sigma_model_10. vector chert_argentona_ sigma_model_11. vector chert_argentona_ sigma_model_12. vector chert_argentona_ sigma_model_13. vector chert_argentona_ sigma_model_14. vector chert_argentona_ sigma_model_15. vector chert_argentona_ sigma_model_16. Vector chert_plus_surfaceert_argentona.vector (Reference Model for Time-lapse Inversion), Peer reviewed

Proyecto: EC/H2020/722028
DOI: http://hdl.handle.net/10261/205446, http://dx.doi.org/10.13039/501100000780
Digital.CSIC. Repositorio Institucional del CSIC
HANDLE: http://hdl.handle.net/10261/205446, http://dx.doi.org/10.13039/501100000780
Digital.CSIC. Repositorio Institucional del CSIC
PMID: http://hdl.handle.net/10261/205446, http://dx.doi.org/10.13039/501100000780
Digital.CSIC. Repositorio Institucional del CSIC
Ver en: http://hdl.handle.net/10261/205446, http://dx.doi.org/10.13039/501100000780
Digital.CSIC. Repositorio Institucional del CSIC

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