Resultados totales (Incluyendo duplicados): 42566
Encontrada(s) 4257 página(s)
Encontrada(s) 4257 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288043
Set de datos (Dataset). 2023
TECTONIC MAP OF THE IBERIAN CONTINENTAL MARGINS AND ABYSSAL PLAINS: TECTONIC FEATURES AND MAIN MAP REFERENCES
- Druet Vélez, María
- Bohoyo, Fernando
- Maestro González, Adolfo
- Mink Proeck, Sandra Martina
- García Senz, Jesús María
- Pedrera Parias, Antonio
- Rodríguez Fernández, Luis Roberto
[Description of methods used for collection/generation of data] This map has been elaborated based on a compilation of different tectonic features described by other authors in scientific publications, books and PhD theses developed in different sectors of the continental margins of Iberia. The tectonic feature mapping derived from this compilation has been implemented in a Geographic Information System (GIS). In some cases, the structures shown have been redrawn or directly interpreted from the available geophysical information (bathymetry, seismic profiles, and potential fields)., The tectonic features included in this dataset were compiled for a tectonic map at scale 1:1,750,000. This work shows an update of the existing knowledge of the main tectonic and volcanic structures along the Iberian continental margins and abyssal plains. The morphotectonic trends around Iberia recorded superposed geodynamic processes linked to the opening of the North Atlantic Ocean since the Mesozoic and the evolution of the Mediterranean Sea during the Cenozoic, as well as the reactivation of Hercynian faults and the formation of new tectonic structures during the Alpine orogeny. The delineation of the different tectonic features included in the dataset is based on the interpretation of the digital bathymetric model and other geophysical data from our own studies, and those from other authors. Accompanying the dataset, a PDF document with the bibliographical references used is also included., This work was supported by the C.N. Instituto Geológico y Minero de España-CSIC via SEGYBAS and 3D Vasco Cantábrica own projects, and the Spanish Ministry of Science and Innovation projects SEASTORAGE (TED2021-129816B-I00) and ALGEMAR (PID2021-123825OB-I00)., Shapefile "Interpret_L". Shapefile "Interpret_P". MainMapReferences.pdf, Peer reviewed
DOI: http://hdl.handle.net/10261/288043, https://doi.org/10.20350/digitalCSIC/15115
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288043
HANDLE: http://hdl.handle.net/10261/288043, https://doi.org/10.20350/digitalCSIC/15115
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288043
PMID: http://hdl.handle.net/10261/288043, https://doi.org/10.20350/digitalCSIC/15115
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288043
Ver en: http://hdl.handle.net/10261/288043, https://doi.org/10.20350/digitalCSIC/15115
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288043
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/349892
Set de datos (Dataset). 2023
MONITORING OF INTERNAL TEMPERATURE AND HUMIDITY OF 2 TYPES OF CTL (PINE AND FIR) PLACED OUTDOOR IN 3 DIFFERENT CLIMATIC CONDITIONS (MADRID, AVILA AND SEVILLE)[DATASET]
- Aparicio Secanellas, Sofía
- Galván Rodríguez, Jorge
- Anaya Velayos, José Javier
- González Hernández, Margarita
[EN]The aim of this work is to study how the environmental conditions affect the wood quality. For that purpose, a monitoring system provided with temperature and humidity sensors and developed by the authors, was deployed during 6 months in 3 different places with diverse environmental conditions: Madrid, Seville and Avila. This system is based on WSNs using Iris motes developed by MEMSIC Company. This platform was selected mainly because it is an open source wireless sensor platform with open access hardware and software designs.
On each city, a wireless system composes of 2 motes is being used. One mote is configured as a base station connected to a laptop for receiving the data, and the other one is sensorized to monitor every 5 minutes with 8 SHT75 sensors. The internal temperature and humidity values in two different basins made of wood, pine and fir, and in different orientations (N,S,E,W) were obtained for six months. The system is controlled remotely using the teamviewer desktop and saving the data in the dropbox file backup.
[ES] El objetivo de este trabajo es estudiar cómo las condiciones ambientales afectan la calidad de la madera. Para ello, se desplegó un sistema de monitorización provisto de sensores de temperatura y humedad y desarrollado por los autores, durante 6 meses en 3 lugares diferentes con condiciones ambientales diversas: Madrid, Sevilla y Ávila. Este sistema está basado en WSNs utilizando motas Iris desarrolladas por la empresa MEMSIC. Esta plataforma fue seleccionada principalmente porque es una plataforma de sensores inalámbricos de código abierto con diseños de hardware y software de acceso abierto.
En cada ciudad se está utilizando un sistema inalámbrico compuesto por 2 motas. Un mote está configurado como una estación base conectada a una computadora portátil para recibir los datos, y el otro está sensorizado para monitorear cada 5 minutos con 8 sensores SHT75. Se obtuvieron los valores de temperatura y humedad interna en dos estanques diferentes de madera, pino y abeto, y en diferentes orientaciones (N,S,E,O) durante seis meses. El sistema se controla de forma remota utilizando el escritorio de Teamviewer y guardando los datos en la copia de seguridad del archivo de Dropbox., The aim of this work is to study how the environmental conditions affect the wood quality. For that purpose, a monitoring system provided with temperature and humidity sensors and developed by the authors, was deployed during 6 months in 3 different places with diverse environmental conditions: Madrid, Seville and Avila. This system is based on WSNs using Iris motes developed by MEMSIC Company., Fecha Hora Pino_T_W Pino_T_N Pino_T_S Pino_T_E Abeto_T_W Abeto_T_N Abeto_T_S Abeto_T_E Pino_H_W Pino_H_N Pino_H_S Pino_H_E Abeto_H_W Abeto_H_N Abeto_H_S Abeto_H_E, No
Proyecto: //
DOI: http://hdl.handle.net/10261/349892, https://doi.org/10.20350/digitalCSIC/16152
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/349892
HANDLE: http://hdl.handle.net/10261/349892, https://doi.org/10.20350/digitalCSIC/16152
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/349892
PMID: http://hdl.handle.net/10261/349892, https://doi.org/10.20350/digitalCSIC/16152
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/349892
Ver en: http://hdl.handle.net/10261/349892, https://doi.org/10.20350/digitalCSIC/16152
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/349892
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288226
Set de datos (Dataset). 2023
SPEIBASE V.2.8 [DATASET]
- Beguería, Santiago
- Vicente Serrano, Sergio M.
- Reig-Gracia, Fergus
- Latorre Garcés, Borja
[ES] El conjunto de datos se compone de 48 archivos NetCDF, cada uno representando una escala temporal distinta que abarca desde 1 hasta 48 meses. Se puede acceder y manipular estos archivos utilizando diversas herramientas de software, incluidas aplicaciones SIG como QGIS y ArcMap, aplicaciones especializadas como Panoply (https://www.giss.nasa.gov/tools/panoply/), y librerías específicas como ncdf4, raster o terra en R, así como netCDF4 o xarray en Python, entre otras. Cada archivo NetCDF contiene una matriz tridimensional con dimensiones de 720x360x1476. Los píxeles de tierra se identifican con el valor 1.0x10^30 y los errores de cálculo con valores NaN. El conjunto de datos se ha generado en R utilizando el paquete SPEI (http://cran.r-project.org/web/packages/SPEI)., [EN] The dataset is comprised of 48 NetCDF files, each representing a distinct temporal scale spanning from 1 to 48 months. It can be accessed and manipulated using various software tools, including GIS applications like QGIS and ArcMap, specialized applications like Panoply (https://www.giss.nasa.gov/tools/panoply/), and dedicated libraries such as ncdf4, raster, or terra in R, as well as netCDF4 or xarray in Python, among others. Each NetCDF file contains a 3-dimensional matrix with dimensions of 720x360x1476. Land pixels are marked with the value 1.0x10^30, and occasionally, calculation errors may lead to NaN values. The dataset has been generated in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI)., [EN] The Global 0.5° gridded SPEI database (SPEIbase) provides a comprehensive global record of drought conditions. It offers a standardized measure of drought, the Standardized Precipitation-Evapotranspiration Index (SPEI), computed at multiple time scales ranging from monthly to 48 months. The SPEI index considers both precipitation and potential evapotranspiration (PET), estimated using the FAO-56 Penman-Monteith method. This approach provides a robust and accurate assessment of drought conditions across various regions and timeframes. SPEIbase is freely accessible and can be used to support a wide range of applications, including drought monitoring, risk assessment, and climate change studies. This is an update of the SPEIbase v2.7 (https://digital.csic.es/handle/10261/268088).-- What’s new in version 2.8: 1) Based on the CRU TS 4.06 dataset, spanning the period between January 1901 to December 2021. For more details on the SPEI visit http://sac.csic.es/spei For more details on the SPEI database visit https://spei.csic.es/, [ES] La rejilla global a 0.5° de datos SPEI (SPEIbase) ofrece un registro global completo de las condiciones de sequía. Proporciona una medida estandarizada de la sequía, el Índice Estandarizado de Precipitación-Evapotranspiración (SPEI), calculado a múltiples escalas temporales que van desde un mes hasta 48 meses. El índice SPEI considera tanto la precipitación como la evapotranspiración potencial (ETP), estimada utilizando el método FAO-56 Penman-Monteith. Este enfoque proporciona una evaluación sólida y precisa de las condiciones de sequía en diversas regiones y periodos de tiempo. SPEIbase es de libre acceso y se puede utilizar para respaldar una amplia gama de aplicaciones, incluido el monitoreo de sequías, la evaluación de riesgos y los estudios sobre el cambio climático. Esta es una actualización de la versión SPEIbase v2.7 (https://digital.csic.es/handle/10261/268088) basada en el conjunto de datos CRU TS 4.06, que abarca el período comprendido entre enero de 1901 y diciembre de 2021. Para obtener más información sobre la base de datos SPEIbase, consulte: https://spei.csic.es/, This work was not supported by any external funding., No
Proyecto: //
DOI: http://hdl.handle.net/10261/288226, https://doi.org/10.20350/digitalCSIC/15121
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288226
HANDLE: http://hdl.handle.net/10261/288226, https://doi.org/10.20350/digitalCSIC/15121
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288226
PMID: http://hdl.handle.net/10261/288226, https://doi.org/10.20350/digitalCSIC/15121
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288226
Ver en: http://hdl.handle.net/10261/288226, https://doi.org/10.20350/digitalCSIC/15121
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288226
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307309
Set de datos (Dataset). 2023
DATASET FOR THE PAPER: TESTING PROTECTIVE COATINGS FOR METAL CONSERVATION: THE INFLUENCE OF THE APPLICATION METHOD
- Molina Delgado, M. Teresa
- Cano Díaz, Emilio
- Ramírez Barat, Blanca
The experimental data used are classified in zip folders according to the results of the analyses carried out for the paper: thickness measurements, visual appearance, microscope photos, EIS data, Raman and climatic conditions used during the coating application and drying process. These folders are subdivided into others depending on the coating and/or ageing time carried out. It is recommended to read the paper beforehand in order to have a better understanding and location of the data. All files are in open extensions and are protected by a Creative Commons Attribution 4.0 International (CC BY 4.0) licence., [EN] This is the experimental dataset used in the paper: Testing protective coatings for metal conservation: the influence of the application method. This data presents results on the effect that methodology application variables can have on the protective capacity of the coatings. The influence of the thickness, number of layers and drying time of Paraloid B72, C80 microcrystalline wax and Incralac on bare steel coupons on the performance of the coatings has been evaluated with techniques such as: electrochemical impedance spectroscopy (EIS), a reflected light metallurgical microscope and electromagnetic induction thickness probe. It has been shown that the number of layers is not always proportional to the thickness of the coating and that after accelerated ageing, some coatings that had been left to dry for 14 days, have a better protective capacity than those that were left to dry for less time., [ES] Este es el conjunto de datos experimentales utilizado en el artículo: Pruebas de recubrimientos protectores para la conservación de metales: la influencia del método de aplicación. Estos datos presentan resultados sobre el efecto que las variables de aplicación de la metodología pueden tener en la capacidad protectora de los recubrimientos. Se ha evaluado la influencia del espesor, número de capas y tiempo de secado de Paraloid B72, cera microcristalina C80 e Incralac sobre cupones de acero desnudo en el comportamiento de los recubrimientos mediante técnicas como: espectroscopia de impedancia electroquímica (EIS), microscopio metalúrgico de luz reflejada y sonda de espesores por inducción electromagnética. Se ha demostrado que el número de capas no siempre es proporcional al espesor del recubrimiento y que, tras un envejecimiento acelerado, algunos recubrimientos que se habían dejado secar durante 14 días, tienen una mejor capacidad protectora que los que se dejaron secar durante menos tiempo., This work has been funded by MCIN/AEI /10.13039/501100011033 and “ERDF A way of making Europe”, under the project COMPACT (HAR2017-89911-R) and the predoctoral grant PRE2018-086667 additionally funded by “ESF Investing in your future”. It is also been funded by the Community of Madrid and the European Social Fund, under the TOP Heritage-CM programme (P2018/NMT-4372)., Peer reviewed
Proyecto: AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/HAR2017-89911-R
DOI: http://hdl.handle.net/10261/307309, https://doi.org/10.20350/digitalCSIC/15237
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307309
HANDLE: http://hdl.handle.net/10261/307309, https://doi.org/10.20350/digitalCSIC/15237
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307309
PMID: http://hdl.handle.net/10261/307309, https://doi.org/10.20350/digitalCSIC/15237
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307309
Ver en: http://hdl.handle.net/10261/307309, https://doi.org/10.20350/digitalCSIC/15237
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/307309
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288757
Set de datos (Dataset). 2023
EVALUACIÓN DE LA NOCHE EUROPEA DE L@S INVESTIGADOR@S ANDALUCÍA. OPEN RESEARCHERS 2022
EVALUATION OF THE EUROPEAN RESEARCHERS' NIGHT IN ANDALUSIA. OPEN RESEARCHERS 2022
- Domínguez Álvarez, Juan Antonio
- Lafuente, Regina
- Ranchal Romero, Julia
- Trujillo Carmona, Manuel
[Descripción de los métodos utilizados para la recopilación/generación de datos] Los datos provienen de las respuestas a un cuestionario alojado la web nocheinvestiga.es. Se ha articulado una estrategia para que los asistentes al evento accedan al link del cuestionario según el tipo de actividad divulgativa en la que hayan participado.
En las actividades con reserva de plaza los participantes facilitaron su dirección de correo electrónico. Se enviaron un total de 1.707 invitaciones a la lista de direcciones de correo, con 3 recordatorios de respuesta, lo que ha permitido obtener 655 cuestionarios.
En las actividades más multitudinarias se ha realizado un muestreo aleatorio entre los asistentes. Un equipo de encuestadores ha entrevistado forma presencial a 1.421 asistentes en las ocho capitales andaluzas durante la jornada del 30 de septiembre.
En las actividades virtuales, consistentes en la divulgación de videos en la página web del proyecto lanochedelosinvestiadores.es, se incluye un enlace al cuestionario en nocheinvestiga.es Por este medio se han recabado 30 cuestionarios., [Modalidades de tratamiento de los datos] La grabación de datos es automática. En la depuración de los datos se han eliminado los casos que no habían cumplimentado el 75% del cuestionario, los casos con una duración de cumplimentación inferior a 2 minutos, los casos cumplimentados fuera Andalucía, Ceuta y Melilla. También se han eliminado los casos de participantes menores de 14 años en cumplimiento de la Ley 3/2018, de 5 de diciembre, de Protección de Datos Personales y garantía de los derechos digitales., [Description of methods used for collection/generation of data] The data comes from the responses to a questionnaire in nocheinvestiga.es web. A strategy has been articulated so that the attendees to the event access to the questionnaire link according to the type of dissemination activity in which they are participated.
In the activities which a place was reserved, the attendees provided their e-mail address. A total of 1.707 invitations were sent to the e-mail list, with 3 reminders to respond, this has permitted to obtain 655 questionnaires.
In the most massive activities, a random sampling was made between the attendees. A team of pollsters has interviewed in face-to-face form to 1.421 attendees in the eight Andalusian capitals during the September 30th journey.
In the virtual activities, consisting of the dissemination of videos on the project website lanochedelosinvestigadores.es, this includes a questionnaire link in nocheinvestiga.es, by this way has been collected 30 questionnaires., [Methods for processing the data] The data recording is automatic. The cases that had not completed in the 75% of questionnaire, the duration was less than 2 minutes, completed outside of Andalusia, Ceuta and Melilla were eliminated in the data cleaning process. The cases of attendees under 14 years have also been deleted in compliance with the law 3/2018 of December 5, on Personal Data Protection and Guarantee of Digital Rights., [ES] La Noche Europea de los Investigadores es un proyecto de divulgación científica en el que los investigadores/as muestran su trabajo a los ciudadanos de una forma lúdica así como su repercusión en la vida cotidiana. Se trata de una acción Marie Sklodowska Curie (MSCA), dentro del Programa Marco de Investigación e Innovación de la UE Horizonte Europa (2021-2027). Este evento se celebra simultáneamente en casi 400 ciudades europeas de 30 países desde 2005. En las ocho capitales andaluzas han participado más de 80.000 personas en las actividades realizadas en 2022 por más de 3.000 investigadores de las universidades públicas andaluzas y de los institutos del CSIC ubicados en la región. La evaluación de la Noche Europea de los Investigadores en Andalucía se ha realizado a través de una encuesta dirigida tanto a investigadores como al público en general. En total, han valorado el evento 1.421 asistentes y 1.361 investigadores/as], [EN] The European Researchers' Night is a public science outreach event, which displays the diversity of science and its impact on citizens' daily lives in fun, inspiring ways. It is a Marie Sklodowska Curie (MSCA) action, under the EU Framework Programme for Research and Innovation Horizon Europe (2021-2027). This event that takes place simultaneously in almost 400 European cities in 30 countries and has been held since 2005. In 2022, 80,000 visitors attended these events in the eight Andalusian cities. In addition, 3000 researchers from Andalusian public universities and CSIC institutes located in the region have participated. The evaluation of The European Researchers' Night in Andalusia was carried out through a survey addressed to both researchers and the general public. In total, 1,421 attendees and 1,361 researchers evaluated the event., Project funded by the European Commission’s Horizon Europe Research Framework Programme (2021-2027), in the framework of Marie Sktodowska-Curie actions. Directorate General of Education and Culture with Grant Agreement 101061307., THE NIGHT 2022 (Attendees)_Data file.csv THE NIGHT 2022 (Attendees)_Data file.sav THE NIGHT 2022 (Attendees)_Codebook_EN.pdf THE NIGHT 2022 (Attendees)_Codebook_SP.pdf THE NIGHT 2022 (Attendees)_Readme_EN.pdf THE NIGHT 2022 (Attendees)_Readme_SP.pdf THE NIGHT 2022 (Researchers)_Data file.csv THE NIGHT 2022 (Researchers)_Data file.sav THE NIGHT 2022 (Researchers)_Codebook_EN.pdf THE NIGHT 2022 (Researchers)_Codebook_SP.pdf THE NIGHT 2022 (Researchers)_Readme_EN.pdf THE NIGHT 2022 (Researchers)_Readme_SP.pdf, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/288757, https://doi.org/10.20350/digitalCSIC/15122
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288757
HANDLE: http://hdl.handle.net/10261/288757, https://doi.org/10.20350/digitalCSIC/15122
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288757
PMID: http://hdl.handle.net/10261/288757, https://doi.org/10.20350/digitalCSIC/15122
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288757
Ver en: http://hdl.handle.net/10261/288757, https://doi.org/10.20350/digitalCSIC/15122
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288757
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288923
Set de datos (Dataset). 2025
LONG-TERM MONITORING OF WOODY PLANTS OF DOÑANA SHRUBLANDS 2008-2023
- Díaz-Delgado, Ricardo
- Torrijo-Salesa, Mizar
- Ramírez González, Luis Alfonso
- Alcaide, Antonio
- Paz Sánchez, David Antonio
- Aragonés, David
- López, Diego
- Ceballos, Olga
- Román, Isidro
- Rojas, Alejandría
- Tenorio, Juan
- Schmidt, Katrin
- Ruiz-Martín, José
- Bustamante, Javier
- Márquez-Ferrando, Rocío
Dataset are structured following well-established data formats. Three files are provided and they are related to each other with the variable eventID.
The first file (icts-rbd-shrubPlantCover_ev_20240705) contains the information of each event (time of occurrence, geographical coordinates, sampling effort, etc…); the second file (icts-rbd-shrubPlantCover_occ_20240705) contains the percentage of plant cover of shrubland species recorded in each site, numbers of individual recorded and taxonomic classification; the third file (icts-rbd-shrubPlantCover_occ_20240705) contains additional information (measurements or facts) of vegetation recorded in each transect, like average vegetation height., [Description of methods used for collection/generation of data] The long-term monitoring of plant cover of Doñana shrublands is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting Terrestrial Vegetation. The general aim of this protocol is
to monitor and assess the dynamics of the main dominant terrestrial and aquatic vegetation types of Doñana. For shrublands, percent cover is recorded annually starting from 2008 to 2023 by staff of the Monitoring Team by one sampling campaign per year during the flowering season (between March and May) in 21 permanent square plots (15x15m). Cover is measured using the line intercept method in 3 transects of 15 m length oriented from East to West and located at fixed points of 2.5, 7.5 and 12.5 metres at both sides of the plot. Using the line-intercept method, the coverage of each species is measured with a measuring tape, including the class age (adult or seedling) and the canopy status (green or dead). This method enables to
calculate the percent cover for each species across the transect and for the whole plot, including data on class age and percent of dry and green canopy, additionally to the percent of bare soil, plant density, species richness and vascular plant diversity for every plot., [Methods for processing the data] The data was recorded in CyberTracker sequence. The protocol used has been supervised by researchers and the data have been validated by the members who performed the sampling. The raw data was processed with Excel and the percent coverage was calculated and unificated by species, life stage and state., The long-term monitoring of plant cover of Doñana shrublands is part of a harmonised protocol for the Long-term Ecological Monitoring Program of Natural Resources and Processes targeting Terrestrial Vegetation. The general aim of this protocol is to monitor and assess the dynamics of the main dominant terrestrial and aquatic vegetation types of Doñana., For shrublands, percent cover is recorded annually starting from 2008 to 2023 by staff of the Monitoring Team by one sampling campaign per year during the flowering season (between March and May) in 21 permanent square plots (15x15m). Cover is measured using the line intercept method in 3 transects of 15 m length oriented from East to West and located at fixed points of 2.5, 7.5 and 12.5 metres at both sides of the plot. Using the line-intercept method, the coverage of each species is measured with a measuring tape, including the class age (adult or seedling) and the canopy status (green or dead)., This method enables to calculate the percent cover for each species across the transect and for the whole plot, including data on class age and percent of dry and green canopy, additionally to the percent of bare soil, plant density, species richness and vascular plant diversity for every plot., We acknowledge financial support from National Parks Autonomous Agency (OAPN) between 2004-2007; Singular Scientific and Technical Infrastructures from the Spanish Science and Innovation Ministry (ICTS-MICINN); Ministry of Agriculture, Livestock, Fisheries and Sustainable Development from the Regional Government of Andalusia (CAGPDES-JA) since 2007; and Doñana Biological Station from the Spanish National Research Council (EBD-CSIC) provides in-kind and direct funding to maintain the program. Finally, the project has also benefited from eLTER Plus INFRAIA Research Project (Horizon 2020 EU Program, Agreement No 871128), eLTER H2020 INFRAIA project (Horizon 2020 EU Program, Agreement No 654359) and from SUMHAL Research Project funded by FEDER actions [SUMHAL, LIFEWATCH-2019-09-CSIC-13, POPE 2014-2020] from Ministerio de Ciencia, Innovación y Universidades., 1. icts-rbd-shrubPlantCover_ev_20240705: file with samplings events / transects 2. icts-rbd-shrubPlantCover_occ_20240705: file with ocurrences and species coverage 3. icts-rbd-shrubPlantCover_mof_20240705: file with other information about sampling events / transects like average vegetation height in the transect, Peer reviewed
Proyecto: EC, EC/H2020, H2020/654359, 871128
DOI: http://hdl.handle.net/10261/288923, https://doi.org/10.20350/digitalCSIC/15124
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288923
HANDLE: http://hdl.handle.net/10261/288923, https://doi.org/10.20350/digitalCSIC/15124
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288923
PMID: http://hdl.handle.net/10261/288923, https://doi.org/10.20350/digitalCSIC/15124
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288923
Ver en: http://hdl.handle.net/10261/288923, https://doi.org/10.20350/digitalCSIC/15124
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288923
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288965
Set de datos (Dataset). 2023
ORIENTATION OF ROMAN CENTURIATIONS IN ITALY
TABLE 1. ORIENTATION AND DESCRIPTION OF THE CENTURIATIONS IN ITALY INCLUDED IN THE SAMPLE
- Rodríguez Antón, Andrea
- Magli, Giulio
- González-García, A. César
[Description of methods used for collection/generation of data] Orientation data in this Table were collected mainly by measuring the azimuths over satellite images with Google Earth and GIS. The rest were extracted from previous publications and one was taken in situ. The method for acquisition is indicated in each case.
[Methods for processing the data] The statistical analysis was carried out with Python., Axencia Galega de Innovación (GAIN-Xunta de Galicia), Axudas de apoio á etapa posdoutoral, 2019., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/288965, https://doi.org/10.20350/digitalCSIC/15126
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288965
HANDLE: http://hdl.handle.net/10261/288965, https://doi.org/10.20350/digitalCSIC/15126
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288965
PMID: http://hdl.handle.net/10261/288965, https://doi.org/10.20350/digitalCSIC/15126
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288965
Ver en: http://hdl.handle.net/10261/288965, https://doi.org/10.20350/digitalCSIC/15126
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288965
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288967
Set de datos (Dataset). 2023
PRESENCIA DE LA LITERATURA LATINOAMERICANA EN PUBLICACIONES PERIÓDICAS RUMANAS (1964)
- ELASOC
- Ilian, Ilinca
- Gallardo Saborido, Emilio J.
No
DOI: http://hdl.handle.net/10261/288967, https://doi.org/10.20350/digitalCSIC/15127
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288967
HANDLE: http://hdl.handle.net/10261/288967, https://doi.org/10.20350/digitalCSIC/15127
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288967
PMID: http://hdl.handle.net/10261/288967, https://doi.org/10.20350/digitalCSIC/15127
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288967
Ver en: http://hdl.handle.net/10261/288967, https://doi.org/10.20350/digitalCSIC/15127
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288967
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288973
Set de datos (Dataset). 2023
ORIENTATION OF ROMAN TOWNS IN ITALY
TABLE 2. ORIENTATION OF THE ROMAN TOWNS IN ITALY INCLUDED IN THE SAMPLE
- Rodríguez Antón, Andrea
- Magli, Giulio
- González-García, A. César
[Description of methods used for collection/generation of data] Part of the data were measured over aerial imagery with Google Earth and GIS software. In some cases the data were obtained in situ. The method is indicated in each case.
[Methods for processing the data] The statistical analysis was carried out with Python., Axencia Galega de Innovación (GAIN-Xunta de Galicia), Axudas de apoio á etapa posdoutoral, 2019., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/288973, https://doi.org/10.20350/digitalCSIC/15128
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288973
HANDLE: http://hdl.handle.net/10261/288973, https://doi.org/10.20350/digitalCSIC/15128
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288973
PMID: http://hdl.handle.net/10261/288973, https://doi.org/10.20350/digitalCSIC/15128
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288973
Ver en: http://hdl.handle.net/10261/288973, https://doi.org/10.20350/digitalCSIC/15128
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288973
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288985
Set de datos (Dataset). 2023
PLANT CANOPY-RECRUIT INTERACTIONS IN PLANT COMMUNITIES ACROSS THE ANDALUSIAN RED NATURA 2000 COMMUNITARY INTEREST HABITATS (DIRECTIVE HABITATS 92/43/CEE)
- Bastida, Jesús M.
- Lendínez Contreras, Sandra
- Prieto-Rubio, Jorge
- Perea, Antonio J.
- Dejana, Laura
- Ramírez Serrano, Beatriz
- González Robles, Ana
- Tarifa Murcia, Rubén
- Rey, Pedro J.
- Pérez, Antonio J.
- Alcántara, Julio M.
- Gómez Aparicio, Lorena
- Zamora, Regino
- Verdú, Miguel
- Montesinos-Navarro, Alicia
- Garrido Sánchez, José Luis
[Description of methods used for collection/generation of data] Woody plant communities included in the Directive Habitats 92/43/CEE were sampled across the Andalusian Red Natura 2000. We focused mainly on shrub and tree species with the capacity to act as nurse plants. Each plant community was sampled throughout plots (16, 25 x 25 m) or transects (20, 10 x 50 m); each transect was divided into 5 [10 x 10 m] squares (100 squares per plant community). In total the sampled area per plant community was 10000 m^2. Complete descriptions of the methodological procedures can be found in Alcántara et al. (2019) and Verdú et al. (2022). In each square, the list of canopy plant species, with the capacity to act as nurses, and the number of recruiting plant species within it was recorded. The squares were randomly distributed, trying to cover the largest possible area within each locality to avoid sampling bias.
References:
- Directiva 92/43/CEE del Consejo, de 21 de mayo de 1992, relativa a la conservación de los hábitats naturales y de la fauna y flora silvestres.
- Alcántara, J. M., Garrido, J. L., Montesinos‐Navarro, A., Rey, P. J., Valiente‐Banuet, A., & Verdú, M. (2019). Unifying facilitation and recruitment networks. Journal of Vegetation Science, 30(6), 1239-1249. DOI: 10.1111/jvs.12795
- Verdú, M., Garrido, J. L., Alcántara, J. M., Montesinos‐Navarro, A., Aguilar, S., Aizen, M. A., et al. (2022). RecruitNet: A global database of plant recruitment networks. Ecology, e3923. https://doi.org/10.1002/ecy.3923, Our aim was to register the frequency of plant-plant interactions, between canopy and recruiting species, in plant communities across the Andalusian Red Natura 2000. The study was developed in 38 plant communities across 19 protected areas in the Andalusian RedNatura 2000. The present dataset can help to assess plant community dynamics of Mediterranean woody species through recruitment networks. Here, we stress the importance of recording ecological interactions, not just individual records, as key elements in assessing the state of ecosystems., This work was funded (1) by Proyecto FEDER SUMHAL-Sustainability for Mediterraean Hospost in Andalusia integrating LifeWatch ERIC [Work Package 5. Task 5.1.2. Development of the data standard. Repository development.] [Work Package 9. Task 9.3.2. Model impact of land use change] (LifeWatch ERIC – FEDER, POPE 2014-2020; Ministerio de Ciencia e Innovación, Spain); (2) Proyecto COEXMED I: Coexistence of woody plants in Mediterranena forests: intransitive interactions and negative density dependence in recruitment dynamics (CGL2012-36776, FEDER y Ministerio de Economia y Competitividad, Spain); (4) Proyecto COEXMED II: Especificidad de las interacciones adulto-juvenil durante el reclutamiento de plantas leñosas: complementariedad de caracteres funcionales e interacciones plant-antagonista (CGL2015-69118-C2-1-P, FEDER y Ministerio de Economia y Competitividad, Spain); (5) Proyecto REPNETS-Redes de reemplazamiento en bosques: variación ecogeográfica e influencia de las comunidades de hongos de la filosfera y de las interacciones planta-suelo (PGC2018-100966-B-I00, FEDER - Agencia Estatal de Investigación, Ministerio de Ciencia e Innovación, Spain); (5) thanks to Parque Natural Montes Málaga, Parque Natural Sierra de las Nieves, Parque Natural Sierras Subbéticas, Parque Natural Sierra Norte, Parque Natural Sierra de Aracena y Picos de Aroche, Parque Natural Sierra de Grazalema and Finca La Almoraima for facilitating access and scientific work permits; (6) CSIC is acknowledged for supporting Open Access publication., Canopy-Recruit_Interactions_REDNATURA_2000.csv [shows the list of plant species canopy paired with plant recruit species per sampled plant community with the information of the observed frequency of interaction] Plant_community_&_sampling_info.csv [has information about sampled plant communities and sampling methods] Metadata.csv [records information about the meaning of columns in Canopy-Recruit_Interactions_REDNATURA_2000.csv' and 'Plant_community_&_sampling_info.csv' files], Peer reviewed
DOI: http://hdl.handle.net/10261/288985, https://doi.org/10.20350/digitalCSIC/15129
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288985
HANDLE: http://hdl.handle.net/10261/288985, https://doi.org/10.20350/digitalCSIC/15129
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288985
PMID: http://hdl.handle.net/10261/288985, https://doi.org/10.20350/digitalCSIC/15129
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288985
Ver en: http://hdl.handle.net/10261/288985, https://doi.org/10.20350/digitalCSIC/15129
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/288985
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