Resultados totales (Incluyendo duplicados): 45302
Encontrada(s) 4531 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309494
Dataset. 2023

NÚCLEO DEL CONJUNTO DE DATOS DEL PROYECTO PETRIFYING WEALTH [DATASET]

  • Rodríguez López, Ana
  • Capdevila Montes, Enrique
Este conjunto de datos está sujeto a una licencia CC BY 4.0, Peer reviewed

Proyecto: EC/H2020/695515
DOI: http://hdl.handle.net/10261/309494
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309494
HANDLE: http://hdl.handle.net/10261/309494
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309494
PMID: http://hdl.handle.net/10261/309494
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309494
Ver en: http://hdl.handle.net/10261/309494
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309494

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309548
Dataset. 2022

SST SINGULARITY EXPONENTS (V.1.0) [DATASET]

  • González-Haro, Cristina
  • Isern-Fontanet, Jordi
  • Turiel, Antonio
SST singularity exponents. Filenames: Singularity_exponentsYYYMMDD120000_*.nc, Spanish Ministerio de Ciencia e Innovación; the Agencia Estatal de Investigación (10.13039/501100011033). DEMON project (PID2021-123457OB-C21) and the INTERACT project (PID2020-114623RB-C31)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/309548, https://doi.org/10.20350/digitalCSIC/15293
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309548
HANDLE: http://hdl.handle.net/10261/309548, https://doi.org/10.20350/digitalCSIC/15293
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309548
PMID: http://hdl.handle.net/10261/309548, https://doi.org/10.20350/digitalCSIC/15293
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309548
Ver en: http://hdl.handle.net/10261/309548, https://doi.org/10.20350/digitalCSIC/15293
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309548

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309577
Dataset. 2023

FERRINETAL_C&NMEDIATEWARMINGIMPACTONSOILHEXAPODS

  • Ferrín Guardiola, Miquel
  • Peñuelas, Josep
  • Gargallo-Garriga, Albert
  • Iribar, Amaia
  • Janssens, Ivan
  • Marañón-Jiménez, Sara
  • Murienne, Jérôme
  • Richter, Andreas
  • Sigurdsson, Bjarni D.
  • Peguero, Guille
This study was conducted at the ForHot research site in Iceland (Sigurdsson et al., 2016) between August 2017 and June 2018 (64°0′N, 21°11′W). Soil type was a Brown Andosol (Arnalds, 2015). Mean annual temperature at the site was 5.1 °C. The coldest and warmest temperatures in the neighboring village of Eyrarbakki in 2016 were -12.3 °C and 21.6 °C, respectively. Average annual precipitation for the same year was 1153 mm (Icelandic Meteorological Office, 2016). The vegetation was an unmanaged grassland dominated byAgrostis capillarisL.,Galium borealeL. andAnthoxantum odoratumL. Vascular plants cover 46% of the area over a moss mat which covers up to 88% of the ground. This grassland has been geothermally warmed since 29 May 2008, when an earthquake transferred geothermal energy from hot groundwater to previously unheated soils (Sigurdsson et al., 2016). Belowground temperatures at 10 cm depth now display a permanent warming gradient reaching +10 °C, with a discreet increase in aboveground temperature of +0.2 °C. The warming has only been mildly disruptive, with seasonality remaining unchanged. Soil humidity was only marginally affected, with volumetric water content changing from 40% to 38%, and water pH increased from 5.6 in unheated soil to up to 6.3 after warming. Geothermal groundwater has remained in the bedrock and has not reached the root zone, thus avoiding direct eco-toxicological effects (Sigurdsson et al., 2016). The resulting stable conditions and lack of artifacts provide a realistic natural belowground experiment on soil warming under climate change. Natural N deposition in the area is 1.3 ± 0.1kg N ha-1 y-1 (Leblans et al., 2014). Five transects were established, each one consisting of three 2 x 2 m plots, and each plot at different temperature: an unheated control, a low warming level of ca. +3 °C and a higher warming level of ca. +6 °C above the ambient reference in the control (henceforth referred as “+3 °C” and “+6 °C”).
Soil cores were collected using an auger to a depth of ~10 cm, excluding the O horizon. Soil cores were sampled seasonally four times: August 2017, corresponding to late growing season; November 2017, at start of winter and initial soil freezing; April 2018, with the first soil thaw in un-warmed soils, and June 2018, in the early part of the growing season. We thus collected a total of 20 core samples for each warming treatment (5 replicates in 4 seasons for 3 temperature levels = 60 samples). All samples were immediately sieved to remove roots and stones larger than 2 mm. Fifteen grams of each sample were then frozen in plastic bags in liquid N in the field to immediately stop all biological processes. All frozen samples were freeze-dried in the laboratory. eDNA was extracted from 15 g soil samples belonging to DNA remains (i.e. no alive fauna) as previously described (Taberlet et al., 2012; Zinger et al., 2016).
The soil hexapod communities were genetically characterized based on Molecular Operational Taxonomic Units (MOTUs) using the retrieved eDNA and applying a metabarcoding approach. We amplified the 16S mitochondrial rDNA region using the Ins16S_l primer pair (Ins16S_1-F: 5′-TRRGACGAGAAGACCCTATA-3′; Ins16_1-R: 5′-TCTTAATCCAACATCGAGGTC-3′; Clarke et al. 2014). This primer pair, specifically designed for hexapod metabarcoding, introduces a very limited taxonomic bias and performs very well for identifications at the species level throughout the Hexapoda subphylum (e.g. Kocher et al., 2017; Talaga et al., 2017). PCR amplification was performed in triplicate in 20-μL mixtures consisting of 10 μL of AmpliTaq Gold Master Mix (Life Technologies, Carlsbad, USA), 5.84 μL of nuclease-free Ambion water (Thermo Fisher Scientific, Waltham, USA), 0.25 μM each primer, 3.2 μg of bovine serum albumin (Roche Diagnostic, Basel, Switzerland) and 2 μl of DNA template that was diluted 10-fold to reduce PCR inhibition by humic substances. The thermal profile of the PCR amplification was 40 cycles of denaturation at 95 °C (30 s), annealing at 49 °C (30 s) and elongation at 72 °C (60 s), with a final elongation step at 72 °C for 7 min. Tags had at least five differences between them to minimize ambiguities (Coissac et al., 2012). The sequenced multiplexes comprised extractions/PCR blank controls, unused tag combinations and positive controls (Kocher et al., 2017). The PCR products were then sequenced using the MiSeq platform (Illumina Inc., San Diego, USA), with the expected sequencing depth set at 400 000 reads per sample. The sequences were processed using OBITOOLS software (Boyer et al., 2016). Low-quality sequences (containing Ns, alignment scores <50, lengths <140 bp or >320 bp and singletons) were excluded. The remaining sequences were clustered into MOTUs using SUMACLUST (Mercier et al., 2013) at a threshold of sequence similarity of 97%. The hexapod MOTUs were taxonomically assigned using Blast. MOTUs showing <80% similarity with either the local or the EMBL reference databases were removed, leading to 219 MOTUs. These retained MOTUs included taxa from classes Insecta and Entognatha, which both belong to the subphylum Hexapoda. We then applied a post-processing pipeline (Zinger et al., 2021) to minimize PCR and sequencing errors, contaminations and false-positive sequences, and by detailed curation of ecologically incongruent assignments (i.e. taxa with distributions outside the palearctic and neartic ecozones). This conservative approach retained a total of 33 identified species. We then used checklists of Icelandic hexapod species and information from previous studies at the same study site (Fjellberg, 2007; Holmstrup et al., 2018) to assess the performance of our eDNA metabarcoding protocol to properly describe the hexapod communities in the soil., Peer reviewed

Proyecto: //

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309695
Dataset. 2024

BASE DE DATOS DE ESCRITURAS DEL YO DE AUTORES LATINOAMERICANOS EN LOS PAÍSES SOCIALISTAS EUROPEOS

  • Gallardo Saborido, Emilio J.
  • Becerra Suárez, Carmen
  • Davis González, Ana
  • García Talavan, Paula
  • Gómez de Tejada, Jesús
  • Ilian, Ilinca
  • Kovačević, Bojana
  • Luna Sellés, Carmen
  • Nogales Baena, José Luis
  • Rodríguez Gutiérrez, Milena
  • Romero Vallejo, Alberto Custodio
  • Sánchez López, Pablo Felipe
  • Sanchis Amat, Víctor Manuel
  • Vázquez Cienfuegos, Sigfrido
Referencias: Di Vincenzo, Facundo. "El viaje de Elías Castelnuovo a la Unión Soviética en 1932". Rebelión.org (28.09.2021), https://rebelion.org/el-viaje-de-elias-castelnuovo-a-la-union-sovietica-en-1932/. Saítta, Sylvia. Hacia la revolución: viajeros argentinos de izquierda. Buenos Aires, Fondo de Cultura Económica, 2007. Rupprecht, Tobias. Soviet Internationalism after Stalin. Cambridge University Press, 2015. Rupprecht, Tobias. "Socialist high modernity and global stagnation: a shared history of Brazil and the Soviet Union during the Cold War". Journal of Global History, Volume 6, Issue 3, November 2011, pp. 505 - 528. DOI: https://doi.org/10.1017/S174002281100043X Tarcus, Horacio. Primeros viajeros al país de los soviets. Crónicas porteñas. 1920-1934. Buenos Aires: Ministerio de Cultura del Gobierno de la Ciudad Autónoma de Buenos Aires, 2017 Zourek, Michel. Praga y los intelectuales latinoamericanos (1947-1959). Rosario, Prohistoria, 2019, Esta base de datos recoge libros y artículos relacionados genéricamente con las escrituras del yo y cuya autoría recae en autores latinoamericanos, preferentemente quienes son reconocidos como escritores profesionales, aunque también se han incluido otros perfiles laborales. En ellos se detallan experiencias vitales acaecidas en los países socialistas europeos. En cuanto a su estado actual, consideramos que la base de datos se encuentra en proceso. Por ello, agradecemos cualquier observación que nos puedan hacer llegar para complementarla o mejorarla. Pueden escribir en este sentido a emilio.gallardo@csic.es, Este resultado es parte del proyecto de I+D+i Escritores latinoamericanos en los países socialistas europeos durante la Guerra Fría (PID2020-113994GB-I00), financiado por MCIN/ AEI/10.13039/501100011033/, No

DOI: http://hdl.handle.net/10261/309695
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309695
HANDLE: http://hdl.handle.net/10261/309695
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309695
PMID: http://hdl.handle.net/10261/309695
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309695
Ver en: http://hdl.handle.net/10261/309695
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oai:digital.csic.es:10261/309695

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309698
Dataset. 2023

WILDLIFE VALUE ORIENTATION SURVEY (WVO) 2017

ENCUESTA SOBRE ORIENTACIÓN EN VALORES HACIA LA FAUNA SILVESTRE (WVO) 2017

  • Garrido Fernández, Fernando E.
  • Villafuerte, Rafael
  • Castro, Francisca
  • Moyano Estrada, Eduardo
[Description of methods used for collection/generation of data] PACIS is a survey panel. The owner of this panel is IESA-CSIC, a public scientific research center belonging to the Spanish National Research Council. The information obtained both at the time of registration and in the successive questionnaires answered by its members is protected by Law 12/89, which regulates statistical secret for public administrations, and can only be processed and disseminated in numerical and aggregate form, in order to guarantee the anonymity of the interviewees. The persons registered in PACIS are included in an automated file comprising contact data and basic classification variables, the purpose of which is to carry out scientific opinion surveys. This file, which is owned by IESA-CSIC, is not shared in any case with third parties, and IESA-CSIC applies appropriate security measures to comply with the Organic Law 3/2018, of December 5, on Personal Data Protection and guarantee of digital rights. Any person registered in PACIS can exercise their rights of access, rectification, cancellation and opposition by sending an email to agpd@pacis.es In the surveys carried out, only the personal information necessary to guarantee the quality of the research is collected. Once the data collection has been completed, the results matrix is anonymized and the data of the persons registered in the PACIS file is unlinked to their answers to the questionnaires. The questionnaires comply with the different specific quality standards in survey research such as UNE ISO-20252, ICC/ESOMAR, and specific Accessibility and Usability standards in digital formats such as UNE 139803 and WCAG 1.0. • UNIVERSE: People 18 years or older living in Andalusia. • FRAMEWORK: PACIS citizen panel. • SAMPLE SIZE: 751 interviews. • DATA COLLECTION: The sample has been selected among people belonging to PACIS. They have been contacted by e-mail, SMS and telephone and have filled the questionnaire by Internet (on a website) or by telephone interview. Some members were contacted through several channels. To achieve the sample of 750 interviews, 1.825 PACIS members were selected. • SAMPLE TYPE: Stratified selection by age group and sex of PACIS members, with the strata being proportional to the Andalusian population over 18 years of age. • AVERAGE INTERVIEW TIME: 19 minutes. • MAXIMUM SAMPLING ERROR: ± 3,6%, [EN] The objective of this study is to help understand attitudes towards issues such as the hunting acceptability, the control of species that produce damage, or measures to support the conservation of endangered animals. The survey is carried out using de Citizen Panel for Social Research in Andalusia (PACIS). This panel is an instrument implemented by IESA-CSIC for the collection of quality information in research for scientific purposes or improve public administration. The 4th wave of PACIS, carried out between May and June,2017, focused on opinions and attitudes about wildlife. A total of 750 people has participated in this survey. The results show panelists preferences for different measures oriented to protect the environment, provide data on the responsibility that citizens attribute to farmers and ranchers when implementing conservation measures in order to protect endangered species., [ES] El objetivo de este estudio es ayudar a comprender las actitudes hacia temas como la aceptabilidad de la caza, el control de especies que provocan daños, o medidas de apoyo a la conservación de animales amenazados. La encuesta se lleva a cabo empleando el Panel Ciudadano para la Investigación Social en Andalucía (PACIS). Este panel es una herramienta puesta en marcha por el IESA-CSIC para la recogida de información de calidad en investigaciones con fines científicos o de mejora de la gestión pública. La 4ª Ola del PACIS, realizada durante mayo y junio de 2017, se centró en las opiniones y actitudes sobre la fauna silvestre. En esta encuesta han participado 750 personas. En los resultados se muestra las preferencias de los panelistas por distintas medidas orientadas a proteger el medio ambiente, se aportan datos sobre la responsabilidad que los ciudadanos atribuyen a agricultores y ganaderos a la hora de implementar medidas de conservación con el fin de proteger especies amenazadas., EP-1702 4th wave. Citizen panel for social research in Andalusia, self-funded by IESA/CSIC under the Special Intramural project program: CITIZEN PANEL FOR SOCIAL RESEARCH: A TOOL FOR SOCIAL AND METHODOLOGICAL RESEARCH (PACIS EP-1702 IESA-CSIC)., WILDLIFE_Datafile.csv WILDLIFE_Datafile.sav WILDLIFE_Codebook_EN.pdf WILDLIFE_Codebook_SP.pdf WILDLIFE_Readme_EN.pdf WILDLIFE_Readme_SP.pdf, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/309698
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309698
HANDLE: http://hdl.handle.net/10261/309698
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309698
PMID: http://hdl.handle.net/10261/309698
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309698
Ver en: http://hdl.handle.net/10261/309698
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oai:digital.csic.es:10261/309698

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309699
Dataset. 2023

LONG-TERM MONITORING OF SMALL MAMMALS (ABUNDANCE AND DISTRIBUTION) IN DOÑANA NATURAL AREA 2011-2021

  • Carro, Francisco
  • Pardávila, Xosé
  • Martín, Álvaro
  • Caro, Carlos
  • Román, Isidro
  • Márquez-Ferrando, Rocío
  • Soriguer, Ramón C.
  • Díaz-Delgado, Ricardo
  • Santamaría, Luis
  • Bustamante, Javier
Dataset are structured following well-established data formats Darwing Core. Three files are provided. The first file (icts_small_mam_ev_20230515) contains the information of each event (eventID, event date, geographical coordinates, sample effort, etc…). The eventID code has been built with a abbrevation of the plot, subplot, trap (eventRemarks) and eventDate. The information of the treatments applied in the subplots is included in eventRermarks. The second file (Don_small_mam_occ_20230515) contains the information of the occurrences of individuals recorded in each trap, occurrence remarks, ear tag codes of individual captured and its taxonomic classification. The occurrenceID has built with the eventID code plus a number regarding the number of observations recorded for this event.; and the third file (Don_small_mam_mof_20230515) provide information of individual weight captured in the traps. The measurementID has built with the occurrenceID code plus a number regarding the number of measurements recorded for this occurrence., All the data provided in the dataset by the authors are own data., To record the abundance, density and distribution of small-mammals in Doñana Natural Area, a protocol of capture-mark and recapture monitoring of individuals is applied using Sherman’s live-traps (https://www.semice.org/es/el-proyecto/; Flowerdew et al. 2004, Torre el al., 2018). Seven localities of Doñana (MANECORRO, MATASGORDAS, MEDIANA, MORO, LORO AND SABINAR) of different mediterranean habitats (grassland, shrubland, pine forest, juniper woodlands and oak forest) have been sampled twice per year (between May-Dec) since 2011. Each locality has been divided in plots and subplots respectively: MANECORRO3 (A, B, C, D), MATASGORDAS3 (B, C, D), MATASGORDAS4 (A), MATASGORDAS5 (A), MEDIANA2 (B, C, D), MEDIANA3 (A, C, D), MORO1 (B, D), MORO2 (A, C), LORO1 (A, B, D), LORO2 (A, B, C), LORO4 (B, C, D), LORO6 (A, C, D), SABINAR1 (A), SABINAR2 (A) and SABINAR3 (A). In each subplot has been placed between 36 traps spaced 15 meters apart covering an area of 0.56 ha. The small mammals species captured have been: white-toothed shrew Crocidura russula, black rat Rattus rattus, garden dormouse Eliomys quercinus, algerian mouse Mus spretus and wood mouse Apodemus sylvaticus. Traps were installed during the morning and remained active for three consecutive nights. A daily check was made in the morning (a night check is unnecessary since Sherman traps include food, synthetic cotton inside and lined with film to withstand inclement weather). Once captured, individual was identified until species level and sexed when it was posible. Additionally, body mass of indviduals were taken using a pesola with 0.5 g accuracy. To control the recaptures individuals of R. rattus, A. sylvaticus, M. spretus, and E. quercinus were marked with a ear tag. On the other hand, individuals of E. quercinus also was marked with transponder. Individuals of C. russula were marked with hair cut or due to its high metabolism and risk of death was released without performing the procedures at moment. All animals were released in the same place of capture. The trapping method was consistent throughout the study period. The study is divided in two periods (2011-2016 and 2017-2021) with different sampling effort and different treatments applied in the study plots, since the study belong two different projects (ICTS-RBD 2011-2021, LIFE-ADAPTAMED 2017-2021). LORO1 and LORO2 was affected by a wildfire in June of 2017. The different treatments applied in the study area are the followings: 1.- Grazing exclusion using fences. 2.- Planting with protection of heap of branches. 3.- Planting without protection of heap of branches. 4.- Plant with and without protection of heap of branches. 5.- Cutting 60% of vegetation. 6.- Not treatment., We acknowledge financial support from Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); the Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2011; the Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) since all the study period (2011); the Ministry of Environmetal sustainability and blue economy from the Regional Goverment of Andalusia since 2017 with the LIFE-ADAPTAMED project,; Ministry of Science and Innovation (Recovery, Transformation and Resilence Plan); and the European Comision with the Long-term Ecosystem Research in Europe (eLTER) (a HORIZON funding coordination of the European funding programme for research and innovation) and NextGenerationEU funding., 1.icts-rbd_smallma_ev_20230515: institutionCode, institutionID, datasetName, eventID, year, month, day, eventDate, continent, country, stateProvince, county, locality, decimalLatitude, decimalLongitude, habitat, eventRemarks, sampleSizeValue, samplingSizeUnit, samplingEffort, samplingProtocol.-- 2. icts-rbd_smallma_occ_20230515: eventID, occurrenceID, occurrenceRemarks, basisOfRecord, individualCount, sex, lifeStage, kingdom, class, family, genus, specificEpithet, scientificName, scientificNameAuthorship, dynamicProperties, recordedBy.-- 3. icts-rbd_smallma_mof_20230515: occurrenceID, measurementID, measurementValue, measurementUnit, measurementType, measurementMethod., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/309699
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309699
HANDLE: http://hdl.handle.net/10261/309699
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309699
PMID: http://hdl.handle.net/10261/309699
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309699
Ver en: http://hdl.handle.net/10261/309699
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oai:digital.csic.es:10261/309699

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309869
Dataset. 2023

FULL-FIELD NUMERICAL SIMULATIONS OF OLIVINE DYNAMIC RECRYSTALLISATION DURING VISCOPLASTIC DEFORMATION

  • Yu, Yuanchao
  • Griera, Albert
  • Gómez-Rivas, Enrique
  • Bons, Paul Dirk
  • García-Castellanos, Daniel
  • Hao, Baoqin
  • Lebensohn, Ricardo A.
  • Llorens, Maria-Gema
Olivine_code.m script in Matlab (MTEX) read the extract_xy_euler3 files, Peridotites, which primarily consist of olivine, are rocks located in the Earth's upper mantle. The mechanical behavior of the upper mantle is heavily influenced by this mineral. When the mantle undergoes flow, olivine experiences viscoplastic deformation, resulting in the development of crystallographic preferred orientations (CPO). Scientists can analyze the observed CPO in olivine-rich rocks to determine the direction of mantle flow. In this study, microdynamic numerical simulations are conducted on aggregates of olivine to investigate the effects of dynamic recrystallization during viscoplastic deformation on the microstructure and CPO. This dataset contains the output files of the simulations PT248, PT263 and PT345, using the viscoplastic fast Fourier transform (VPFFT, Lebensohn and Rollet, 2020) in conjunction with the ELLE modeling platform (Bons et al., 2008). For the visualization of the microstructures the information included in these output files can be launched using the software toolbox MTEX (Bachmann et al., 2011)., EGR acknowledges the support of the Ramón y Cajal fellowship (RYC2018-026335-I), funded by the MCIN/AEI/10.13039/501100011033 and the FSE. MGL acknowledges the support of the Q2818002D project, funded by MCIN/AEI/10.13039/501100011033 by European Union NextGenerationEU/PRTR., ELLE_PT248/extract_xy_euler3-1.txt to extract_xy_euler3-100.txt ELLE_PT263/extract_xy_euler3-1.txt to extract_xy_euler3-100.txt ELLE_PT345/extract_xy_euler3-1.txt to extract_xy_euler3-100.txt Olivine_code.m, Peer reviewed

DOI: http://hdl.handle.net/10261/309869
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309869
HANDLE: http://hdl.handle.net/10261/309869
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309869
PMID: http://hdl.handle.net/10261/309869
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309869
Ver en: http://hdl.handle.net/10261/309869
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oai:digital.csic.es:10261/309869

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309928
Dataset. 2023

CHRONOTYPES-PERSONALITY BEHAVIOURAL SYNDROMES IN WILD MARINE FISH [DATASET]

  • Martorell Barceló, Martina
  • Signaroli, Marco
  • Barceló-Serra, Margarida
  • Lana, Arantxa
  • Aspillaga, Eneko
  • Garau, Amalia
  • Arlinghaus, Robert
  • Alós, Josep
[Description of methods used for collection/generation of data] The data derived from the laboratory were obtained through various standardised tests, and recorded to gather behavioural data. For exploration and activity, positional data were acquired via a deep-learning object detection algorithm /YOLOv5). In the case of boldness and aggression, data were obtained by subsequently reviewing the videos. Regarding chronotypes, data were obtained from an acoustic telemetry experiment, but here we present only the scores obtained in a previous study., This dataset encompasses all necessary data required to replicate the study, `Chronotypes-Personality behavioural syndromes in wild fish’. The data were obtained through standardised behavioural tests conducted under laboratory conditions on 63 Pearly Razorfish (Xyrichtys novacula) individuals between April and July of 2019. Over a week, the fish were maintained in isolated aquariums to test their behaviours, including exploration, activity, boldness, and aggression, conducted daily. A Raspberry Pi system, equipped with the YOLOv5 deep-learning automatic tracking algorithm, was used to record these tests and calculate the fish's minute-by-minute position, providing essential data for evaluating exploration and activity. This system also stored videos to retrospectively obtain boldness and aggression data. Each test included only those individuals with at least two measurements. After the laboratory period, the fish were tagged with acoustic tags and returned to the sea to measure their chronotypes; only individuals with at least seven consecutive days of data were considered. The chronotype data, obtained from a previous study, are represented here through the previously derived scores. These laboratory-based experimental data were analysed using R software. In the exploration context, positional data were translated into total active time (TimeOut), minimum distance to the toy (MinDistance), and time spent near the toy (TimeToy). For activity, the data were converted into total active time (TimeOut), total distance covered (Distance), areas (CoreArea and Area), and direction angles (MeanAngle and KappaAngle). A Principal Component Analysis (PCA) was conducted to obtain the scores for exploration, activity, and aggressiveness. Upon acquiring these scores, trait repeatability was computed using a Linear Mixed-Effects Model, fitting the experimental day (Day), the total length of the individual (Size), and the internal condition (Condition) as fixed factors, and the individual (ID) and the experimental week (Week) as random factors. The chronotype scores (Awakening Time and Rest Onset) were subsequently included in each dataset and refitted into the Linear Mixed-Effects Model, including chronotypes as fixed factors. Lastly, a Multivariate Generalised Linear Mixed Model was fit to each pair of laboratory-based traits to derive their correlations., The research was carried out within the framework of the activities of the Spanish Government through the "Maria de Maeztu Centre of Excellence" accreditation to IMEDEA (CSIC-UIB) (CEX2021-001198). The CLOCKS I+D+I project funded this work (grant no. PID2019-104940GA-I00) funded by MCIN/AEI/10.13039/501100011033 and the FSE invierte en tu futuro. The telemetry system was financed by the German Federal Ministry of Education and Research (Grant No. #033W024A). This work is a contribution of the Joint Researcher Unit IMEDEA-LIMIA., With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001198)., Peer reviewed

DOI: http://hdl.handle.net/10261/309928
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309928
HANDLE: http://hdl.handle.net/10261/309928
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309928
PMID: http://hdl.handle.net/10261/309928
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309928
Ver en: http://hdl.handle.net/10261/309928
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309928

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309982
Dataset. 2022

AGE ESTIMATION OF THE SOUTHERN OCEAN SQUID MOROTEUTHOPSIS LONGIMANA USING BEAKS COLLECTED FROM PREDATORS' DIET: NUMBER AND INCREMENT WIDTHS IN THE ROSTRUM SAGITTAL SECTION OF THE LOWER BEAK [DATASET]

  • Queirós, José P.
  • Bartolomé, Aurora
  • Piatkowski, Uwe
  • Xavier, José C.
  • Perales-Raya, Catalina
This dataset contains the number and width of increments found in the RSS of the 10 M. longimana’s lower beaks used in this study. Further information related with the studied beaks such as beak measurements, origin and sample date can be found in the published article., In this work we used upper and lower beaks of Moroteuthopsis longimana collected from the diet of Antarctic toothfish Dissostichus mawsoni from the Pacific (Ross and Amundsen Seas) and Atlantic (South Sandwich Islands) sectors of the Southern Ocean to study the feasibility of using beaks collected from predators’ stomachs to study the age of Southern Ocean oceanic squid and to estimate the age and growth patterns of M. longimana. We analysed the presence of micro-increments in the rostrum sagittal section (RSS) and the lateral wall of both upper and lower beaks. Lower beak’s RSS was the only section where it is possible to observe and count a readable sequence of increments that allowed to estimate the age of oceanic squid using beaks collected from predators’ stomachs., This work was supported by the strategic program of Marine and Environmental Sciences Centre (MARE), financed by the FCT (UIDB/704292/2020). JPQ was supported by a FCT/MCTES through national funds (PIDDAC) and Portuguese Polar Program (PROPOLAR) and by FCT PhD scholarship co-financed by FSE (SFRH/BD/144320/2019)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/309982
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309982
HANDLE: http://hdl.handle.net/10261/309982
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309982
PMID: http://hdl.handle.net/10261/309982
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309982
Ver en: http://hdl.handle.net/10261/309982
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/309982

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310073
Dataset. 2021

SUPPLEMENTARY MATERIAL. PLANO-CONVEX INGOTS AND PRECIOUS METALWORK IN NORTHWESTERN IBERIA DURING THE LATE IRON AGE AND EARLY ROMAN PERIOD: AN ANALYTICAL APPROACH

  • Armada, Xosé-Lois
  • García Vuelta, Óscar
Table 1suppl Index of XRF analyses of planoconvex ingots in noble metals from northwestern Iberia (XRF USC = analyses made at the University of Santiago de Compostela, analytical conditions not reported; Innov-X Delta UCL = analytical conditions reported in Martinón-Torres and Ladra 2018; Innov- X Delta + Innov-X Alpha + μXRF CNA = analytical conditions reported in this article)., Table 2suppl XRF analyses of planoconvex ingots made at the University of Santiago de Compostela., Table 3suppl Analyses of the Estela jewels published by Hartmann (1982) (silver values reported as a percentage of the total; other elements reported as a percentage of the gold)., Geographical coordinates (decimal degrees – WGS84) for sites included in Table 1 (source: Google Maps)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310073
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310073
HANDLE: http://hdl.handle.net/10261/310073
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310073
PMID: http://hdl.handle.net/10261/310073
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310073
Ver en: http://hdl.handle.net/10261/310073
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310073

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