Resultados totales (Incluyendo duplicados): 34354
Encontrada(s) 3436 página(s)
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 The IESDB is sourced from six different databases and more than 1,500 published and unpublished references, and includes information and figures for each of the 150 inventoried evaporite structures and their surrounding rocks.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

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266642
Dataset. 2022

EARTHWORMS AND THEIR CUTANEOUS EXCRETA CAN MODIFY THE VIRULENCE AND REPRODUCTIVE CAPABILITY OF ENTOMOPATHOGENIC NEMATODES AND FUNGI [DATASET]

  • Chelkha, Maryam
  • Blanco-Pérez, Rubén
  • Vicente-Díez, Ignacio
  • Bueno-Pallero, Francisco Ángel
  • Amghar, S.
  • El Harti, Abdellatif
  • Campos-Herrera, R.
Experiment performed in the lab, following details described in the publication: http://dx.doi.org/10.1016/j.jip.2021.107620 / http://hdl.handle.net/10261/261936, Grants ICVV-CSIC: 1) CSIC I-COOP + 2018 grant (COOPA20231) 2) Associated funds of 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 Support for researchers: 1) 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 2) RBP was supported by the pre-doctoral contracts CAR-2018 (Department of Economic Development and Innovation of the Government of La Rioja). 3) IVD was 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). 4) RCH was 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, Peer reviewed

DOI: http://hdl.handle.net/10261/266642, https://doi.org/10.20350/digitalCSIC/14594
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266642
HANDLE: http://hdl.handle.net/10261/266642, https://doi.org/10.20350/digitalCSIC/14594
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266642
PMID: http://hdl.handle.net/10261/266642, https://doi.org/10.20350/digitalCSIC/14594
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266642
Ver en: http://hdl.handle.net/10261/266642, https://doi.org/10.20350/digitalCSIC/14594
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266642

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266821
Dataset. 2022

DATA OF MANUSCRIPT ELECTROSPRAYED AGAR CAPSULES AS EDIBLE CARRIERS OF BIOACTIVE COMPOUNDS

  • Tomadoni, Barbara
  • Fabra, María José
  • Méndez, Daniel Alexander
  • Martínez-Abad, Antonio
  • López Rubio, Amparo
The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database, or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL., This research was funded by Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT) grant number PICT-2018-0970. D. A. Mendez is supported by the Administrative Department of Science, Technology and Innovation (Colciencias) of the Colombian Government (783-2017)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/266821, https://doi.org/10.20350/digitalCSIC/14599
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266821
HANDLE: http://hdl.handle.net/10261/266821, https://doi.org/10.20350/digitalCSIC/14599
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266821
PMID: http://hdl.handle.net/10261/266821, https://doi.org/10.20350/digitalCSIC/14599
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266821
Ver en: http://hdl.handle.net/10261/266821, https://doi.org/10.20350/digitalCSIC/14599
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266821

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266859
Dataset. 2022

PUBLICACIONES CIENTÍFICAS RELATIVAS AL PARQUE NATURAL SIERRAS DE CAZORLA, SEGURA Y LAS VILLAS, JAÉN, ANDALUCÍA, ESPAÑA. I. BOTÁNICA

SCIENTIFIC PUBLICATIONS REFERRED TO THE NATURAL PARK SIERRAS DE CAZORLA, SEGURA Y LAS VILLAS, JAÉN PROVINCE, SE SPAIN. I. BOTANY

  • Herrera, Carlos M.
  • Núñez-Carbajal, Alejandro
  • Alonso, Conchita
[ES] En la disciplina de Botánica, se reúnen 166 referencias de libros o capítulos de libros, tesis, ponencias y artículos de revista publicados entre 1902 y 2021. Las referencias se presentan ordenadas alfabéticamente por el apellido del primer autor. En cada referencia constan los autores, el título de la publicación, el título de la revista, el año de publicación, volumen y páginas. En los casos en los que ha sido posible se incluye el enlace web dónde se puede encontrar el documento, esto resulta más complicado para la literatura antigua., Proyecto SUMHAL, LIFEWATCH-2019-09-CSIC-13, POPE 2014-2020., [ES] El acceso a la información preexistente es clave para el desarrollo científico. Las publicaciones científicas referidas a una temática concreta o un lugar constituyen un repositorio esencial del conocimiento adquirido para ese tema o lugar. Se presenta aquí una colección de literatura científica publicada desde principio del s. XX que contiene información de referencia o datos relativos al Parque Natural Sierras de Cazorla, Segura y Las Villas (Jaén) en la disciplina de Botánica. Este trabajo es fruto de la labor pionera de recopilación bibliográfica llevada a cabo por uno de sus autores, Carlos M Herrera, revisando revistas de ámbito nacional e internacional durante décadas y facilitando su difusión en su página web. El catálogo se presenta aquí en dos formatos (xml, pdf) para hacerlo accesible a la comunidad científica de forma estandarizada. La colección de documentos permanece además como recurso accesible para uso docente y de investigación en la web: www.plant-animal.es., [EN] Access to available data is key for scientific development. Scientific publications referring to a specific topic or geographical region constitute an essential repository of the knowledge acquired for that topic or region. We present here a collection of scientific literature published since the beginning of the 20th century that contains reference information or data related to the Natural Park Sierras de Cazorla, Segura and Las Villas (Jaén) in the discipline of Botany. This work is the result of the pioneering bibliographic compilation work carried out by one of the authors, Carlos M Herrera, who reviewed national and international journals for decades and facilitated the way to access these publications through his website. The catalogue is presented in two formats (xml, pdf) to make it accessible to the scientific community in a standardized way. The collection of documents remains also as an accessible resource for teaching and research use on the web: www.plant-animal.es., Este trabajo ha sido financiado por el MICINN a través del Fondo Europeo de Desarrollo Regional [SUMHAL, LIFEWATCH-2019-09-CSIC-13, POPE 2014-2020]., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/266859, https://doi.org/10.20350/digitalCSIC/14600
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266859
HANDLE: http://hdl.handle.net/10261/266859, https://doi.org/10.20350/digitalCSIC/14600
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266859
PMID: http://hdl.handle.net/10261/266859, https://doi.org/10.20350/digitalCSIC/14600
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266859
Ver en: http://hdl.handle.net/10261/266859, https://doi.org/10.20350/digitalCSIC/14600
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/266859

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268088
Dataset. 2022

SPEIBASE V.2.7 [DATASET]

  • Beguería, Santiago
  • Vicente Serrano, Sergio M.
  • Reig-Gracia, Fergus
  • Latorre Garcés, Borja
The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. The Global SPEI database, SPEIbase, offers long-time, robust information on the drought conditions at the global scale, with a 0.5 degrees spatial resolution and a monthly time resolution. It has a multi-scale character, providing SPEI time-scales between 1 and 48 months. The Standardized Precipitatin-Evapotranspiration Index (SPEI) expresses, as a standardized variate (mean zero and unit variance), the deviations of the current climatic balance (precipitation minus evapotranspiration potential) with respect to the long-term balance. The reference period for the calculation, in the SPEIbase, corresponds to the whole study period. Being a standardized variate means that the SPEI condition can be compared across space and time. Calculation of the evapotranspiration potential in SPEIbase is based on the FAO-56 Penman-Monteith method. Data type: float; units: z-values (standard deviations). No land pixels are assigned a value of 1.0x10^30. In some rare cases it was not possible to achieve a good fit to the log-logistic distribution, resulting in a NAN (not a number) value in the database. Dimensions of the dataset: lon = 720; lat = 360; time = 1356. Resolution of the dataset: lon = 0.5º; lat = 0.5º; time = 1 month. Created in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI)., Global gridded dataset of the Standardized Precipitation-Evapotranspiration Index (SPEI) at time scales between 1 and 48 months.-- Spatial resolution of 0.5º lat/lon.-- This is an update of the SPEIbase v2.6 (https://digital.csic.es/handle/10261/202305).-- What’s new in version 2.7: 1) Based on the CRU TS 4.05 dataset, spanning the period between January 1901 to December 2020. Using TLMoments::PWM instead of lmomco::pwm.ub for calculating distribution parameters. For more details on the SPEI visit http://sac.csic.es/spei, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/268088
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268088
HANDLE: http://hdl.handle.net/10261/268088
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268088
PMID: http://hdl.handle.net/10261/268088
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268088
Ver en: http://hdl.handle.net/10261/268088
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268088

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268139
Dataset. 2022

DATASET SUPPORTING PUBLICATION "DOMAIN WALL AUTOMOTION IN THREE-DIMENSIONAL MAGNETIC HELICAL INTERCONNECTORS"

  • Skoric, Luka
  • Donnelly, Claire
  • Hierro-Rodríguez, A.
  • Cascales Sandoval, Miguel A.
  • Ruiz-Gómez, Sandra
  • Foerster, Michael
  • Niño Orti, Miguel A.
  • Belkhou, Rachid
  • Abert, Claas
  • Suess, Dieter
  • Fernández-Pacheco, Amalio
Preliminary measurements were performed at HERMES beamline at SOLEIL synchrotron in collaboration with SOLEIL staff, proposal nos. 20200879, 20190565 and 20170904. This work was supported by the EPSRC Cambridge NanoDTC EP/L015978/1,the Winton Program for the Physics of Sustainability, the project CALIPSOplus under Grant Agreement 730872 from the EU Framework Programme for Research and Innovation HORIZON 2020, and by the European Community under the Horizon 2020 Program, Contract no. 101001290, 3DNANOMAG. L. Skoric acknowledges support from St Johns College of the University of Cambridge. C. Donnelly was supported by the Leverhulme Trust (ECF-2018-016), the Isaac Newton Trust (18-08) and the L'Oréal-UNESCO UK and Ireland Fellowship For Women In Science. A. Hierro-Rodriguez acknowledges support from Spanish AEI under project reference PID2019104604RB/AEI/10.13039/501100011033. The authors acknowledge the University of Vienna research platform MMM Mathematics -Magnetism - Materials, and the FWF project I4917., Peer reviewed

DOI: http://hdl.handle.net/10261/268139, https://doi.org/10.20350/digitalCSIC/14613
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268139
HANDLE: http://hdl.handle.net/10261/268139, https://doi.org/10.20350/digitalCSIC/14613
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268139
PMID: http://hdl.handle.net/10261/268139, https://doi.org/10.20350/digitalCSIC/14613
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268139
Ver en: http://hdl.handle.net/10261/268139, https://doi.org/10.20350/digitalCSIC/14613
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268139

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268516
Dataset. 2021

DATASET TO ACCOMPANY "FRONTAL CONVERGENCE AND VERTICAL VELOCITY MEASURED BY DRIFTERS IN THE ALBORAN SEA"

  • Tarry, Daniel R.
  • Essink, Sebastian
  • Pascual, Ananda
  • Ruiz, Simón
  • Poulain, Pierre-Marie
  • Özgökmen, Tamay
  • Centurioni , Luca Raffaele
  • Farrar, J. Thomas
  • Shcherbina, Andrey
  • Mahadevan, Amala
  • D'Asaro, Eric A.
This dataset contains the data used in the publication "Frontal Convergence and Vertical Velocity measured by Drifters in the Alboran Sea"., This research was supported by the Office of Naval Research (ONR) Departmental Research Initiative CALYPSO under program officers Terri Paluszkiewicz and Scott Harper., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/268516, https://doi.org/10.20350/digitalCSIC/14620
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268516
HANDLE: http://hdl.handle.net/10261/268516, https://doi.org/10.20350/digitalCSIC/14620
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268516
PMID: http://hdl.handle.net/10261/268516, https://doi.org/10.20350/digitalCSIC/14620
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268516
Ver en: http://hdl.handle.net/10261/268516, https://doi.org/10.20350/digitalCSIC/14620
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/268516

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269093
Dataset. 2022

JOURNAL LEVEL DISAGGREGATED DATA ABOUT EVALUATION AND PUBLICATION DELAY IN IBERO-AMERICAN SCIENTIFIC JOURNALS (2018-2020) [DATASET]

DATOS DESAGREGADOS A NIVEL REVISTA SOBRE LOS PERIODOS DE DEMORA DE EVALUACIÓN Y PUBLICACIÓN DE REVISTAS CIENTÍFICAS IBEROAMERICANAS (2018-2020) [DATASET]

  • González-Albo, Borja
  • Zabala Vázquez, Jon
  • Abejón Peña, Teresa
[EN] Journal level disaggregated data of the review, acceptance and publication dates of a sample of 21890 articles from 326 Ibero-American scientific journals from all subject areas and countries included in the Latindex Catalogue 2.0 and published between 2018 and 2020. The variable included are: journal identifier; ISSN; journal title; identifier of the country/region of the journal; literal of the country/region of the journal; subject area identifier; subject area literal; journal periodicity identifier; journal periodicity; number of articles of each journal included in the study; average, median, minimum, maximum, range, standard deviation of evaluation days; average, median, minimum, maximum, range, standard deviation of publication days; average of total days calculated in weeks; median of total days calculated in weeks; number of weeks of the total process (from reception to publication) declared by the publishers at DOAJ; difference between total days calculated in weeks and data declared by the publishers at DOAJ; indication of a journal maintains a paper version; Compound Index of Secondary Diffusion (ICDS)., [ES] Datos desagregados a nivel revista sobre las fechas de revisión, aceptación y publicación de una muestra de 21890 artículos de 326 revistas científicas iberoamericanas de todas las áreas temáticas y países incluidos en el Catálogo Latindex 2.0 y publicados entre 2018 y 2020. Las variables incluidas son: identificador de la revista; ISSN; título de la revista; identificador de país/región de publicación de la revista; literal del país/región de publicación de la revista; identificador del área temática; literal del área temática; identificador de la periodicidad de la revista; periodicidad de la revista; número de artículos de cada revista incluidos en el estudio; media, mediana, mínimo, máximo, rango y desviación típica de los días de evaluación; media, mediana, mínimo, máximo, rango y desviación típica de los días de publicación; media de los días totales del proceso calculada en semanas; mediana de los días totales del proceso calculada en semanas; número de semanas del proceso total (desde la recepción hasta la publicación) declarado por los editores en DOAJ; diferencia entre la media de los días totales calculados en semanas y los datos declarados por los editores en DOAJ; indicativo de si la revista mantiene una edición en papel; Índice Compuesto de Difusión Secundaria (ICDS), No

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DOI: http://hdl.handle.net/10261/269093, https://doi.org/10.20350/digitalCSIC/14627
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269093
HANDLE: http://hdl.handle.net/10261/269093, https://doi.org/10.20350/digitalCSIC/14627
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269093
PMID: http://hdl.handle.net/10261/269093, https://doi.org/10.20350/digitalCSIC/14627
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269093
Ver en: http://hdl.handle.net/10261/269093, https://doi.org/10.20350/digitalCSIC/14627
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/269093

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