Resultados totales (Incluyendo duplicados): 33785
Encontrada(s) 3379 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265601
Dataset. 2022

SOILCLIM BAIT-LAMINA TEST

  • Gavín-Centol, M.P.
  • Serrano-Carnero, D
  • Montserrat, M.
  • Meyer, S
  • Scheu, S
  • Kundel, D
  • Fliessbach, A.
  • Truu, J
  • Birkhofer, K.
  • Sánchez-Moreno, S.
  • Moya-Laraño, Jordi
This study was part of the SoilClim project (https://www.biodiversa.org/976) and carried out in the DOK agricultural trial in Therwil, Switzerland. The DOK trial is an agricultural long-term farming system research that is comparing biodynamic, organic and conventional farming systems, under the same 7-year crop rotation and equal ploughing depth (20 cm), for more than 40 years. The soil is a Haplic Luvisol (16% clay, 72% silt and 12% sand) on deep deposits of alluvial loess. Mean annual precipitation is 842 mm, and mean annual temperature is 10.5°C. For the current study, winter wheat fields (Triticum aestivum L. cv. “Wiwa”) under biodynamic (organic) and conventional management were used with soybean as preceding crop. In fields under organic (biodynamic) management the guidelines for ‘Demeter’ food production were followed; while fields under conventional management were managed according to the Swiss Guidelines. For more information on the types of management and inputs applied during the experiment see Kundel et al. (2020), Birkhofer et al. (2021) and Meyer et al. (2021). + Experimental design The experiment consisted of four blocks (A–D), each one containing one organic (BIODYN) and one conventional (CONMIN) field. Every field included three plots with different precipitation treatments: a partial rainout shelter (Roof - 2.5 m × 2.5 m, 1.3–1.7 m height) that reduced precipitation by 65%; a rainout shelter control (Roof Control), which did not reduce precipitation, but allowed knowing possible artefacts derived from the shelters; and an open field (Control) without a shelter. In total, there were 24 experimental plots (i.e., four replicated fields in two farming systems with three precipitation treatments each). The rainout-shelters were installed from mid-March 2017 (during wheat tillering stage) until June of that same year (shortly before wheat harvesting). Details on the design and installation of the rainout shelters are available in Kundel et al. (2018)., The experiment consisted of four blocks (A–D), each one containing one organic (BIODYN) and one conventional (CONMIN) field. Every field included three plots with different precipitation treatments: a partial rainout shelter (Roof - 2.5 m × 2.5 m, 1.3–1.7 m height) that reduced precipitation by 65%; a rainout shelter control (Roof Control), which did not reduce precipitation, but allowed knowing possible artefacts derived from the shelters; and an open field (Control) without a shelter. In total, there were 24 experimental plots (i.e., four replicated fields in two farming systems with three precipitation treatments each). The rainout-shelters were installed from mid-March 2017 (during wheat tillering stage) until June of that same year (shortly before wheat harvesting). Details on the design and installation of the rainout shelters are available in Kundel et al. (2018, The SoilClim project was financed by the BiodivERsA COFUND (2015–2016 call), in concert with the following national funders: the Swiss National Science Foundation (SNSF), the German Research Foundation (DFG), the Swedish Research Council (Formas), the Estonian Research Council (ETAG), and the Spanish Ministry of Sciences and Innovation (MICINN, ref.: PCIN-2016-045). The DOK trial is funded through the Swiss Federal Office of Agriculture (FOAG)., 1_BaitLamina_Depth_Database_(GLMM)_Gavin-Centol_et_al_2022.xls 2_BaitLamina_RAI_Database_(GLM)_Gavin-Centol_et_al_2022.xls 3_BaitLamina_Database_(RF)_Gavin-Centol_et_al_2022.xls, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/265601, https://doi.org/10.20350/digitalCSIC/14570
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265601
HANDLE: http://hdl.handle.net/10261/265601, https://doi.org/10.20350/digitalCSIC/14570
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265601
PMID: http://hdl.handle.net/10261/265601, https://doi.org/10.20350/digitalCSIC/14570
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265601
Ver en: http://hdl.handle.net/10261/265601, https://doi.org/10.20350/digitalCSIC/14570
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265601

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265637
Dataset. 2022

FAIR4HEALTH METADATA

  • FAIR4Health Consortium
[Links/relationships to ancillary data sets] To generate these metadata, datasets with health care or research data from SAS, IACS, UNIGE, UCSC, UP was used., [Relationship between files] - SAS CapabilityStatement, SAS DocumentManifest, SAS Provenance; was generated in SAS facilities. - IACS CapabilityStatement, IACS DocumentManifest, IACS Provenance; was generated in IACS facilities. - UNIGE CapabilityStatement, UNIGE DocumentManifest, UNIGE Provenance; was generated in UNIGE facilities. - UCSC CapabilityStatement, UCSC DocumentManifest, UCSC Provenance; was generated UCSC SAS facilities. - UP CapabilityStatement, UP DocumentManifest, UP Provenance; was generated in UP facilities., [Description of methods used for collection/generation of data] The FAIRification workflow designed by the FAIR4Health project, detailed here: https://doi.org/10.1055/s-0040-1713684 - http://hdl.handle.net/10261/236308., [Standards and calibration information] The files have JSON format, and are HL7 FHIR compliance., [Usage Licenses/restrictions placed on the data] - SAS, IACS. CC BY-NC (Attribution-NonCommercial). https://creativecommons.org/licenses/by-nc/4.0/ - UNIGE, UCSC. CC BY-SA (Attribution-ShareAlike). https://creativecommons.org/licenses/by-sa/4.0/ - UP. CC BY-NC-ND (Attribution-NonCommercial-NoDerivs). https://creativecommons.org/licenses/by-nc-nd/4.0/, This repository contains the metadata of the FAIR4Health project which was generated during the FAIRification processes of the clinical partners. According to the FAIR4Health Common Data Model, the FAIRification process results in FAIRified datasets which are managed by an onFHIR Repository. FAIR4Health Common Data Model utilizes the profiling approach of HL7 FHIR to ensure a satisfactory level of FAIR principles for health research datasets. Each clinical partner of the FAIR4Health project applied the FAIRification Workflow using the FAIR4Health software and the associated metadata was generated automatically at each onFHIR repository. Under each folder, the respective data owner's metadata is presented with FHIR's DocumentManifest, Provenance and CapabilityStatement resources., This work was supported by the FAIR4Health project, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement number 824666., File List: - SAS CapabilityStatement - SAS DocumentManifest - SAS Provenance - IACS CapabilityStatement - IACS DocumentManifest - IACS Provenance - UNIGE CapabilityStatement - UNIGE DocumentManifest - UNIGE Provenance - UCSC CapabilityStatement - UCSC DocumentManifest - UCSC Provenance - UP CapabilityStatement - UP DocumentManifest - UP Provenance, Peer reviewed

Proyecto: EC/H2020/824666
DOI: http://hdl.handle.net/10261/265637, https://doi.org/10.20350/digitalCSIC/14571
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265637
HANDLE: http://hdl.handle.net/10261/265637, https://doi.org/10.20350/digitalCSIC/14571
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265637
PMID: http://hdl.handle.net/10261/265637, https://doi.org/10.20350/digitalCSIC/14571
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265637
Ver en: http://hdl.handle.net/10261/265637, https://doi.org/10.20350/digitalCSIC/14571
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265637

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265646
Dataset. 2022

SEAGRASS THERMAL LIMITS

  • Marbà, Núria
  • Jordá, Gabriel
  • Bennett, Scott
  • Duarte, Carlos M.
The dataset compiles seagrass upper thermal limits (Tlimit) for survival, growth or biomass loss published in the literature and obtained by conducting a search on Web of Knowledge using the keywords combinations seagrass AND (temperature OR warming) and seagrass AND ("thermal limit" OR "thermal threshold" OR "critical temperature" OR "thermal niche”). The reference lists of the papers obtained with these searches were screened for additional relevant data. The dataset only includes data of seagrass populations growing submersed within their native geographical range. Tlimit are derived from empirical observations of seagrass die-off events attributed to heat waves, in combination with other simultaneous stressors (hypersalinity, Carlson et al 2018; low light availability, Moore and Jarvis 2008, Moore et al., 2014), or mesocosm experiments. Seagrasses in mesocosm experiments were exposed to at least 2 temperature treatments above average in situ summer temperature that extended the experimental thermal range beyond the Tlimit. Seagrasses were exposed to experimental temperatures for 6 to 120 days depending on the study. The Tlimit was defined as: a) the upper temperature at which shoot survival, shoot growth or biomass above optimal temperature started to decline in experimental studies; or b) the seawater temperature during the heat wave that triggered die-off events. For each study, the compiled dataset includes the species name, location and coordinates of the population studied, the Tlimit, the approach (i.e. experimental or empirical), the year the study was conducted and the data source. For experimental studies, the dataset also includes the temperature treatments seagrasses were exposed to. For each population studied, we obtained mean annual seawater temperature values for the 5 years before the thermal tolerance experiment or observation was conducted from the ORAS4 ocean reanalysis (Balmaseda, Mogensen, Weaver, 2013), which provides monthly 3D temperature global fields from 1958 to present with a spatial resolution of 1 degree in the horizontal and ~10 m in the vertical. Those temperatures aim at representing the regional characteristics, rather than the local features which cannot be captured by the coarse spatial resolution, [Relationship between files] The file "variables_Marbà_et_al_ 2022.xlsx" defines the variables used in the dataset. The full references of the sources of data compiled in the dataset are provided in the file "References_Dataset_Marba_et_al_2022.docs"., [Environmental/experimental conditions] The dataset includes target experimental temperatures and average annual seawater temperature natural populations were exposed to, calculated for the 5 years before conducting the experiment or the occurrence of seagrass mass-mortality event., Dataset of seagrass upper thermal limits for survival, growth or biomass loss derived from empirical observations of seagrass die-off events attributed to heat waves or mesocosm experiments., This work was funded by the Spanish Ministry of Economy, Industry and Competivness with the projects MedShift (CGL2015-71809-P), SumaEco (RTI2018-095441-B-C21) and Clifish (CTM2015-66400-C3-2-R), the European Union’s Horizon 2020 SOCLIMPACT project (grant agreement No 776661) and the King Abdullah University of Science and Technology (KAUST subaward number 3834). S.B. was supported by a Juan de la Cierva Formación contract funded by the Spanish Ministry of Economy, Industry and Competitiveness., File List: - variables_Marbà_et_al_ 2022.xlsx - dataset_Marbà_et_al_2022_(seagrass thermal limits).xlsx - References_Dataset_Marba_et_al_2022.docs, Peer reviewed

DOI: http://hdl.handle.net/10261/265646, https://doi.org/10.20350/digitalCSIC/14572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265646
HANDLE: http://hdl.handle.net/10261/265646, https://doi.org/10.20350/digitalCSIC/14572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265646
PMID: http://hdl.handle.net/10261/265646, https://doi.org/10.20350/digitalCSIC/14572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265646
Ver en: http://hdl.handle.net/10261/265646, https://doi.org/10.20350/digitalCSIC/14572
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265646

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265669
Dataset. 2022

SPLICING FUNCTIONAL ASSAYS OF ATM SPLICE-SITE VARIANTS IDENTIFIED IN THE BRIDGES PROJECT

  • Bueno-Martínez, Elena
  • Valenzuela-Palomo, Alberto
  • Sanoguera-Miralles, Lara
  • Velasco, Eladio
[Description of methods used for collection/generation of data] Splicing functional assays of ATM variants by hybrid minigenes, [Instrument- or software-specific information needed to interpret/reproduce the data] - Sequence analysis (.ab1 files) with appropriate software, such as SnapGene Viewer (https://www.snapgene.com/snapgene-viewer/). - Fluorescent Fragment analysis (.fsa files) with Peak Scanner v1.0 (https://www.thermofisher.com/order/catalog/product/4381867#/4381867)., [Standards and calibration information] Fragment analysis electrophoresis was run with Liz1200 as size standard., [Environmental/experimental conditions] As indicated in the submitted manuscript., [People involved with sample collection, processing, analysis and/or submission] Bueno-Martínez, Elena (E.B.-M); Valenzuela-Palomo, Alberto (A.V.-P.); Sanoguera-Miralles, Lara (L.S.-M.); Velasco Sampedro, Eladio A (E.A.V.-S.) Conceptualization, E.A.V.-S.; Data curation, E.B.-M., L.S.-M., A.V.-P.; Formal analysis, E.B.-M., L.S.-M., A.V.-P. and E.A.V.-S.; Funding acquisition, E.A.V.-S.; Investigation, E.B.-M., L.S.-M., A.V.-P. and E.A.V.-S.; Methodology, A.V.-P., L.S.-M., E.B.-M., A.G.-A., and E.A.V.-S.; Supervision, E.A.V.-S., Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). This only allows people to download and share your work for no commercial gain and for no other purposes., This dataset corresponds to a systematic splicing analysis of splice-site variants of the breast cancer susceptibility gene ATM, which had been sequenced in 113,000 women who took part of the large-scale sequencing project BRIDGES. A set of 381 variants at the intron-exon boundaries were identified, 128 of which were predicted spliceogenic. After further filtering, we ended up selecting 56 variants for splicing analysis in four minigene constructs. Forty-eight variants impaired splicing, 29 of which were classified as pathogenic/likely pathogenic variants according to ACMG/AMP-based guidelines, so that carrier patients and families may benefit from tailored prevention protocols and personalized therapies., Eladio A. Velasco (EAV) has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 634935. EAV lab is supported by grants from the Spanish Ministry of Science and Innovation, Plan Nacional de I+D+I 2013-2016, ISCIII (PI17/00227 and PI20/00225) co-funded by FEDER from Regional Development European Funds (European Union) and from the Consejería de Educación, Junta de Castilla y León, ref. CSI242P18 (actuación cofinanciada P.O. FEDER 2014-2020 de Castilla y León). Elena Bueno-Martínez is a postdoctoral researcher funded by the University of Valladolid (POSTDOC-UVA05, 2022-2025).Alberto Valenzuela-Palomo is supported by a predoctoral fellowship from the Consejería de Educación, Junta de Castilla y León (2018–2022). Lara Sanoguera-Miralles is supported by a predoctoral fellowship from the AECC-Scientific Foundation, Sede Provincial de Valladolid (2019–2023)., Folder: cDNA_SEQUENCES. Transcript Sequencing. Sub-Folders: • Sequences_ATM 4-9 • Sequences_ATM 11-17 • Sequences_ATM 17-22 • Sequences_ATM 25-29 • Sequences_ATM 49-52 Folder: FRAGMENT_ANALYSIS. Fluorescent Fragment Analysis. Sub-Folders: • Fragment_Analysis_ATM 4-9 • Fragment_Analysis_ATM 11-17 • Fragment_Analysis_ATM 25-29 • Fragment_Analysis_ATM 49-52, Peer reviewed

Proyecto: EC/H2020/634935
DOI: http://hdl.handle.net/10261/265669, https://doi.org/10.20350/digitalCSIC/14573
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265669
HANDLE: http://hdl.handle.net/10261/265669, https://doi.org/10.20350/digitalCSIC/14573
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265669
PMID: http://hdl.handle.net/10261/265669, https://doi.org/10.20350/digitalCSIC/14573
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265669
Ver en: http://hdl.handle.net/10261/265669, https://doi.org/10.20350/digitalCSIC/14573
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265669

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265725
Dataset. 2022

TRACKING THE EVOLUTION OF THE QUALITY PARAMETERS IN FOUR MONOVARIETAL VIRGIN OLIVE OILS DURING 27 MONTHS OF STORAGE SIMULATING MARKET CONDITIONS [DATASET]

  • Lobo Prieto, Ana
  • Tena, Noelia
  • Aparicio-Ruiz, R.
  • Morales-Millán, María Teresa
  • García-González, Diego L.
This data set contains the underlying data of two scientific publications: Lobo Prieto, Ana; Tena, Noelia; Aparicio-Ruiz, Ramón; Morales, María T.; García-González, Diego L.; 2020; Tracking sensory characteristics of virgin olive oils during storage: Interpretation of their changes from a multiparametric perspective. Molecules 25, 1686. Food Control 123, 107823. https://doi.org/10.3390/molecules25071686. Lobo-Prieto, Ana; Tena, Noelia; Aparicio-Ruiz, Ramón; García-González, Diego L.; Sikorska, Ewa; 2020. Monitoring virgin olive oil shelf-life by fluorescence spectroscopy and sensory characteristics: A multidimensional study carried out under simulated market conditions. Foods 9, 1846. https://doi.org/10.3390/foods9121846. Virgin olive oil is inevitably subject to an oxidation process during storage that can affect its quality due to off-flavors that develop before the oil surpasses its ‘best before’ date. Due to the complexity of the oxidation process at moderate conditions, where many parameters are involved, a multiparametric study is necessary to understand globally the physical-chemical changes and sensory quality degradation in a real storage experiment. In this context, a storage experiment of 27 months was performed for four monovarietal virgin olive oils, bottled in transparent 500-mL PET bottles and subjected to conditions close to a supermarket scenario (1000 lx with 12 hours of light/dark cycles and 25 °C). Physical-chemical quality parameters, phenolic compounds, α-tocopherol concentration and the degradation products of chlorophyll a were determined every month. Simultaneously, an accredited sensory panel assessed their sensory characteristics. The different physical-chemical quality parameters studied (peroxide value, free acidity, K232 and K270) were determined following the International Olive Council (COI) standard methods. The concentration of total phenols was determined by solid phase extraction and HPLC analysis, following the method described by Aparicio-Ruiz et al. (2016), and the α-tocopherol concentration was determined using the method ISO 9936:2016. Finally, the degradation compounds of chlorophyll a (pheophytin a and pyropheophytin a) were measured using the method specified by ISO 29841:2012. The dataset presents the results of all the parameters mentioned above for the four monovarietal virgin olive oils subjected to storage at moderate conditions during 27 months., Project Info: “Nuevas estrategias de verificación del tiempo de vida útil y la fecha de consumo preferente del aceite de oliva virgen mediante indicadores espectroscópicos” and “Materiales de referencia de notas sensoriales positivas de aceites de oliva vírgenes extra basado en marcadores volatiles y estudios de interacción aroma-aroma“, funded by State Research Agency. Proyectos AGL2015-69320-R and RTI2018-101546-B-C21/22 financiado por MCIN/ AEI /10.13039/501100011033/ FEDER “Una manera de hacer Europa”., The dataset consists of: a numerical quantitative file saved both in .xlsx and .ods formats (“VOO_storage_xlsx.xlsx” - “VOO_storage _ods.ods”. A README file “VOO_storage_README_rtf.rtf”, Peer reviewed

DOI: http://hdl.handle.net/10261/265725, https://doi.org/10.20350/digitalCSIC/14574
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265725
HANDLE: http://hdl.handle.net/10261/265725, https://doi.org/10.20350/digitalCSIC/14574
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265725
PMID: http://hdl.handle.net/10261/265725, https://doi.org/10.20350/digitalCSIC/14574
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265725
Ver en: http://hdl.handle.net/10261/265725, https://doi.org/10.20350/digitalCSIC/14574
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265725

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265813
Dataset. 2018

FORSEADISCOVERY [DATASET]

  • Nayling, Nigel
  • Momber, Garry
  • San Claudio Santa Cruz, Miguel
  • Crespo Solana, Ana
This work is licensed under the ADS Terms of Use and Access., ForSEAdiscovery is a European funded (Grant agreement no. 607545) project that combines dendrochronology, archaeology, and history in a multi-disciplinary approach to understand timber supplies for the construction of early modern vessels in the Iberian Peninsula. The overarching objective for the ForSEAdiscovery project is to consolidate a research line combining history, maritime archaeology, geographical information systems (GIS), dendrochronology, wood anatomy, and geo/dendro chemistry. The project aims to train and improve the proficiency of the Initial Training Networks (ITN) fellows and students in different research areas. It provides work experience and engages the fellows in workshops designed to improve their communication, research, and management techniques to promote transferable skills for future research in academia and the private sector. The project is organised into three working packages (WP) for the different disciplines represented. Work package one is focused on history (WP 1), the second work package deals with maritime archaeology (WP 2), and the third work package revolves around the wood sciences (WP 3). The research leading to these results has received funding from the People Programme (Marie Curie Actions) of the European Union's Seventh Framework Programme (FP72007-2013) under REA grant agreement no. PITN-GA 2013-607545. This collection represents the data collected by ForSEAdiscovery during the fieldwork operations in 2015 and 2016. It is archaeological and diver data collected on five different shipwreck sites, four in the north of Spain, and one off the south coast of England. The collection consists of diver video, underwater photos, topsides photos, site reports, dive administration, and underwater photogrammetry., Peer reviewed

Proyecto: EC/FP7/607545
DOI: http://hdl.handle.net/10261/265813
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265813
HANDLE: http://hdl.handle.net/10261/265813
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265813
PMID: http://hdl.handle.net/10261/265813
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265813
Ver en: http://hdl.handle.net/10261/265813
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/265813

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266081
Dataset. 2020

THE PROPORTION OF SOIL-BORNE PATHOGENS INCREASES WITH WARMING AT THE GLOBAL SCALE.DATASET

  • Delgado-Baquerizo, Manuel
The metadata associated with the global field survey are publicly available in Figshare https://doi.org/10.6084/m9.figshare.11484747, Dataset from "Delgado-Baquerizo et al. The proportion of soil-borne pathogens increases with warming at the global scale" http://hdl.handle.net/10045/107291, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/266081
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266081
HANDLE: http://hdl.handle.net/10261/266081
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266081
PMID: http://hdl.handle.net/10261/266081
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266081
Ver en: http://hdl.handle.net/10261/266081
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266081

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266163
Dataset. 2022

IESDB - THE IBERIAN EVAPORITE STRUCTURES DATABASE. AN INTERACTIVE ATLAS OF EVAPORITE STRUCTURES IN IBERIA

  • González-Esvertit, Eloy
  • Alcalde, Juan
  • Gomez-Rivas, Enrique
DATA & FILE OVERVIEW 1. File List: 00_IESDB_Readme IESDB_Dataset1_Generic-Data IESDB_Dataset2_Mining-Data IESDB_Dataset3_Well-and-Seismic-Data IESDB_Dataset4_Geographic-Data IESDB_Dataset5_Quantitative-Data IESDB_Dataset6_Reference-Data IESDB_Dataset7_Image-Data IESDB_Summarized-Index-Cards, The Iberian Evaporite Structure Database (IESDB) is the first overall assessment of evaporite structures developed in any region of the world. The IESDB is sourced from six different databases and more than 1,500 published and unpublished references, and includes information and figures for each of the 150 inventoried evaporite structures and their surrounding rocks. The database targets outcropping and buried diapirs, undeformed to slightly deformed evaporite successions, evaporite-cored anticlines, evaporite-detached thrusts, and allochthonous evaporite bodies. Compiled data include information about the stratigraphy, structure, event chronology, subsurface data availability, mining activity, and key bibliographic references of each indexed structure. The IESDB follows the FAIR principles of database management (Findable, Accessible, Interoperable and Reusable) and is presented as an open access webpage (https://ub.edu/IESDB)., This research initiative is funded by the Ramón y Cajal Fellowship RyC-2018-026335-I and Juan de la Cierva-Incorporación Fellowship IJC2018-036074-I (Spanish Ministry of Science and Innovation (MCIN) / State Research Agency of Spain (AEI) / 10.13039/501100011033) / European Regional Development Fund (ERDF), the Knowledge Generation Research Project PID2020-118999GB-I00 (Spanish Ministry of Science and Innovation (MCIN) / State Research Agency of Spain (AEI) / 10.13039/501100011033) and the Consolidated Research Group “Geologia Sedimentària” (2017SGR-824)., 00_IESDB_Readme IESDB_Dataset1_Generic-Data IESDB_Dataset2_Mining-Data IESDB_Dataset3_Well-and-Seismic-Data IESDB_Dataset4_Geographic-Data IESDB_Dataset5_Quantitative-Data IESDB_Dataset6_Reference-Data IESDB_Dataset7_Image-Data IESDB_Summarized-Index-Cards, Peer reviewed

DOI: http://hdl.handle.net/10261/266163, https://doi.org/10.20350/digitalCSIC/14586
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266163
HANDLE: http://hdl.handle.net/10261/266163, https://doi.org/10.20350/digitalCSIC/14586
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266163
PMID: http://hdl.handle.net/10261/266163, https://doi.org/10.20350/digitalCSIC/14586
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266163
Ver en: http://hdl.handle.net/10261/266163, https://doi.org/10.20350/digitalCSIC/14586
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266163

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266302
Dataset. 2022

QUALITATIVE AND QUANTITATIVE DATA FROM CONTEXTS OF USE FOR THE ANALYSIS OF SIX TERMINOLOGICAL UNITS IN A COVID-19 CORPORA. = DATOS CUALITATIVOS Y CUANTITATIVOS DE LOS CONTEXTOS DE USO PARA EL ANÁLISIS DE SEIS UNIDADES TERMINOLÓGICAS EN UN CORPUS SOBRE COVID-19 [DATASET]

  • Vidal Liy, José Ignacio
  • Abejón Peña, Teresa
  • García García, Ana
  • García Palacios, Joaquín
En este registro se incluyen dos documentos, un Excel (menciones_contextos_UT_THC_covid-19.xlsx) con el número de menciones y porcentajes de aparición de los términos objeto de estudio en el corpus y subcorpus de Ciencias Sociales, Ciencias y Tecnología y Ciencias de la Vida y de la Salud; un pdf (analisis_contextos_corpus_THC_covid-19.pdf) con los ejemplos textuales para realizar el análisis cualitativo de uso de las seis unidades terminológicas en los textos de divulgación científica. Esta colección de datos está sujeta a una licencia Creative Commons Reconocimiento-NoComercial-CompartirIgual 3.0 The excel file (menciones_contextos_UT_THC_covid-19.xlsx) with the number of mentions and percentages of occurrence of the terms under study in the corpus and subcorpus of Social Sciences, Science and Technology, and Life and Health Sciences; the pdf file (analisis_contextos_corpus_THC_covid-19.pdf) groups the textual examples for the cualitative analysis of the six terminological units in the scientific dissemination texts. This dataset is subject to a Creative Commons Reconocimiento-NoComercial-CompartirIgual 3.0, [EN] Conjunto de datos que recopila ejemplos de uso de los términos: covid-19, coronavirus, confinamiento, SARS-CoV-2, pandemia y virus, seleccionados en una doble metodología, cuantitativa y cualitativa. Estas unidades terminológicas han sido obtenidas del corpus lingüístico en español de divulgación científica del medio de comunicación The Conversation., [ES] This dataset compiles examples of use of the following terms: covid-19, coronavirus, confinamiento, SARS-CoV-2, pandemia and virus. This are selected in a double quantitative and qualitative methodology from the linguistic corpora in Spanish of scientific dissemination texts from The Conversation., Proyecto Intramural CSIC. Proyecto COVID-19 en español. Investigación interdisciplinar sobre terminología, temáticas y comunicación de la ciencia., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/266302
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266302
HANDLE: http://hdl.handle.net/10261/266302
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266302
PMID: http://hdl.handle.net/10261/266302
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266302
Ver en: http://hdl.handle.net/10261/266302
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266302

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266390
Dataset. 2022

EXPLORING THE USE OF ENTOMOPATHOGENIC NEMATODES AND THE NATURAL PRODUCTS DERIVED FROM THEIR SYMBIOTIC BACTERIA TO CONTROL THE GRAPEVINE MOTH, LOBESIA BOTRANA (LEPIDOPTERA: TORTRICIDAE) [DATASET]

  • Vicente-Díez, Ignacio
  • Blanco-Pérez, Rubén
  • Chelkha, Maryam
  • Puelles, Miguel
  • Pou, Alicia
  • Campos-Herrera, R.
Experiment performed in the lab, following details described in the publication: https://doi.org/10.3390/insects12111033 / http://hdl.handle.net/10261/262517, Grants ICVV-CSIC: Ministry of Science and Innovation (PID2019-104112RB-I00) funded by MCIN/AEI/10.13039/501100011033. Support for researchers: 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 I.V.-D. funded by ADER I + D + i (2019) fellowship by the Rioja Agency of Economic Development (La Rioja, Spain) and by FPI-UR (2021) fellowship (Universidad de La Rioja, Spain). 3) MP is funded by an introduction to research fellowship from the Government of La Rioja (CAR 2020). 4) MC was supported by the travel assistance is associated with the CSIC I-COOP+ 2018 grant (COOPA20231) and a Moroccan scholarship for the Ministry of National Education, Vocational Training, Higher Education, and Scientific Research 5) RBP was supported by the pre-doctoral contracts CAR-2018 (Department of Economic Development and Innovation of the Government of La Rioja)., Peer reviewed

DOI: http://hdl.handle.net/10261/266390, https://doi.org/10.20350/digitalCSIC/14591
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266390
HANDLE: http://hdl.handle.net/10261/266390, https://doi.org/10.20350/digitalCSIC/14591
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266390
PMID: http://hdl.handle.net/10261/266390, https://doi.org/10.20350/digitalCSIC/14591
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266390
Ver en: http://hdl.handle.net/10261/266390, https://doi.org/10.20350/digitalCSIC/14591
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266390

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