Resultados totales (Incluyendo duplicados): 34357
Encontrada(s) 3436 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229662
Dataset. 2020

NUMBER OF UNDERWAY VESSELS IN THE WESTERN MEDITERRANEAN (2016/01-2020/06)

  • March, David
Terrestrial AIS (T-AIS) data from the Western Mediterranean (map inset Fig 5a) were collated by the Balearic Islands Coastal and Forecasting System (SOCIB) using a real-time operational system connected to a web-service provided by MarineTraffic (https://www.marinetraffic.com/). The database used in this study contained AIS data from 1st January 2016 until 30th June 2020 at 5 minute intervals (> 545 million AIS messages). In addition to the vessel tracks, the database also included information associated with each vessel, such as the vessel type or length. A first pre-processing of the raw data included the removal of duplicates, invalid identification numbers (i.e. Maritime Mobile Service Identity -MMSI- codes without 9 digits) and codes outside the correct numerical range (i.e. MMSI codes with first digits between 2 and 7 are those intended for individual ships). In order to address inconsistencies in the vessel and MMSI combinations (e.g., changes of MMSI across years), we selected the more frequent combination of MMSI and vessel characteristics (e.g. vessel name and vessel type) for each calendar year. We used a similar vessel categorization as the S-AIS dataset, but were able to derive a sixth category from the AIS metadata, separating “recreational” vessels from “other” vessels. Therefore, vessels were classified into six categories: cargo, tanker, passenger (included high speed crafts and passenger vessels), fishing, recreational (included sailing vessels and pleasure crafts), and others (included all other ship types). We excluded ship type codes 20 to 29 (i.e. wing-in-ground-effect and search and rescue aircraft), as well as codes that had an invalid value (i.e. empty or null) or the value was not listed in the previous type codes. We calculated the number of vessels per day taking into account only those that were underway, thus removing moored vessels inside ports that were inactive. T-AIS coverage was not homogenous in the study area (Holmes et al. 2020) due to a non-uniformly distribution of antennas (i.e. few antennas in north Africa, see www.marinetraffic.com). Based on a previous analysis of the AIS coverage (Holmes et al 2020), we filtered vessels within the coastal zone (44.4 km, ~24 nautical miles) of EU countries (i.e. a total area of 164,318.2 km2 comprised by Spain, France and Italy), thus reducing potential bias due to temporal gaps in signal reception.

Proyecto: //
DOI: http://hdl.handle.net/10261/229662
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229662
HANDLE: http://hdl.handle.net/10261/229662
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229662
PMID: http://hdl.handle.net/10261/229662
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229662
Ver en: http://hdl.handle.net/10261/229662
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229662

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229663
Dataset. 2014

SOCIB EXP RADAR SEP2014

  • Tintoré, Joaquín
  • Lana, Arantxa
  • Marmain, Julien
  • Fernández, Vicente
  • Orfila, Alejandro
The aim of this experiment was to assess the operational HF radar surface current velocities in the Ibiza Channel in a Lagrangian framework, by comparing against surface drifter derived velocities"

Proyecto: //
DOI: http://hdl.handle.net/10261/229663
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229663
HANDLE: http://hdl.handle.net/10261/229663
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229663
PMID: http://hdl.handle.net/10261/229663
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229663
Ver en: http://hdl.handle.net/10261/229663
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229663

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229664
Dataset. 2018

ALBOREX 2014 - PERSEUS

  • Pascual, Ananda
  • Ruiz, Simón
  • Troupin, Charles
  • Olita, Antonio
  • Casas, Benjamín
  • Margirie, Félix
  • Poulain, Pierre-Marie
  • Torner, Marc
  • Fernández, Juan Gabriel
  • Rújula, Miquel Àngel
  • Muñoz, Cristian
  • Notario Rubí, Xisco
  • Ruíz, Inmaculada
  • Roque, David
  • Tovar-Sánchez, Antonio
  • Allen, John T.
  • Tintoré, Joaquín
A multi-platform synoptic experiment (ALBOREX) was conducted in 2014 in the eastern Alboran Sea in the frame of EU funded FP7 PERSEUS project. The final goal was to monitor and establish the vertical exchanges associated with mesoscale and sub-mesoscale (e.g fronts, meanders, eddies and filaments) and their contribution to upper-ocean interior exchanges.

Proyecto: //
DOI: http://hdl.handle.net/10261/229664
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229664
HANDLE: http://hdl.handle.net/10261/229664
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229664
PMID: http://hdl.handle.net/10261/229664
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229664
Ver en: http://hdl.handle.net/10261/229664
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229664

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229711
Dataset. 2021

DATA SET: TRANSITIONING FROM SI TO SIGE NANOWIRES AS THERMOELECTRIC MATERIAL IN SILICON-BASED MICROGENERATORS

  • Fonseca, Luis
  • Donmez-Noyan, Inci
  • Dolcet, Marc
  • Estrada-Wiese, Denise
  • Santander, Joaquín
  • Salleras, Marc
  • Gadea, Gerard
  • Pacios, Mercè
  • Sojo, José-Manuel
  • Morata, Alex
  • Tarancón, Albert
This dataset contains the data that areshown in the figures supporting the research presented in the paper 'Transitioning from Si to SiGe Nanowires as Thermoelectric Material in Silicon-Based Microgenerators'. These data takes the form of an image and several electrical characterization plots. The information is given in two files. One si an Excel file containing the raw data of said electrical characterization plots. The other is a Word document, wich contains the description of the data items and the experimetnal conditions under which they were obtained., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/229711
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229711
HANDLE: http://hdl.handle.net/10261/229711
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229711
PMID: http://hdl.handle.net/10261/229711
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229711
Ver en: http://hdl.handle.net/10261/229711
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229711

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229736
Dataset. 2021

ILEGAL BLENDS BETWEEN OLIVE AND SOFT DEODORIZED OILS (2021)

  • Gómez-Coca, R. B.
  • Pérez Camino, María del Carmen
  • Moreda, Wenceslao
Excel file consisting of 14 sheets in which the calculation of the total diacylglycerol (DAG) content of a number of defective, non-defective, and soft deodorized olive oil samples, and of some of their corresponding mixtures, are given as examples. Data also show free acidity values and the theoretical DAG composition, together with the calculation of the R1 and R2 factors. It also includes the three resulting tables published as part of Food Chemistry, volume 330, 127226. Data must be read and interpreted within the context of such publication. Original chromatograms are not given since they are considered confidential., These data were generated in our lab, with the help of several laboratory assistants and master students, within the OLEUM project (http://www.oleumproject.eu): ‘Advanced solutions for assuring the authenticity and quality of olive oil at a global scale’ . The general objectives of the Project focus on olive oil fraud detection in a way that it improves the existing analytical methods and it has developed new strategies of analysis. It has been organized in seven work packages distributed in a number of tasks. This work is within Work Package 4 (‘Analytical solution addressing olive oil authentication issues’), and it concentrates on the detection of illegal blends, i.e. of illicit processing (deodorization) in extra virgin olive oil (EVOO) In our endeavor to detect soft deodorized olive oil in EVOO we have focused on the convenience of using two new factors (R1 and R2) obtained as a result of combining the total DAG content and the free acidity value of the samples under the microscope. We chose this methodology following our trend of using well-known, widely reputable routine parameters, avoiding in this way more complicated strategies that, although commonly used in the field of olive oil authentication, could require a more specific personnel training and laboratory apparatus. According to this, we demonstrated that since there is a relationship between free acidity and DAG concentration (both of them come from triacylglyceride hydrolysis and/or biosynthesis), and that such relationship breaks once the oil has gone through a refining process (free fatty acids are removed during the deodorization stage), it was possible to detect the presence of soft deodorized oil in EVOO by using a mathematical combination of both measurements at least to a certain extent. We actually proposed two factors to confirm the absence of soft deodorized oils in EVOO: R1 (10 x free acidity/DAGexp) >/= 0.23 and R2 (DAGexp-DAGtheor) < 0, in genuine EVOO, and we established that such approach was useful to detect the presence of soft deodorized olive oil when this was at least at 30 % in the mixture (Food Chemistry, volume 330, 2020, 127226). Samples were provided by Fera (Fera Science Ltd, Sand Hutton, York) and Institut des Corps Gras (ITERG, Canéjan, France)., The Project has received funding from the European Commission within the Horizon 2020 Program (2014–2020), GA no. 635690., Peer reviewed

Proyecto: EC/H2020/635690
DOI: http://hdl.handle.net/10261/229736
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229736
HANDLE: http://hdl.handle.net/10261/229736
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229736
PMID: http://hdl.handle.net/10261/229736
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229736
Ver en: http://hdl.handle.net/10261/229736
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229736

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229794
Dataset. 2021

MEDIUM SPINY NEURONS ACTIVITY REVEALS THE DISCRETE SEGREGATION OF MOUSE DORSAL STRIATUM [DATASET]

  • Alegre-Cortés, Javier
  • Sáez, María
  • Montanari, Roberto
  • Reig, Ramón
This public repository contains the data of the the manuscript titled “Medium spiny neurons activity reveals the discrete segregation of mouse dorsal striatum” published in eLife. All data has been generated in Ramón Reig laboratory at the Instituto de Neurociencias CSIC-UMH., Conditions for use the data: If you publish any work using the data, please cite the following paper: “Medium spiny neurons activity reveals the discrete segregation of mouse dorsal striatum”., The dataset consists on whole-cell patch-clamp recordings of striatal medium spiny neurons (MSNs) and cortical L5 neurons. MSNs are usually recorded simultaneously with single or double LFP in different cortical regions. The experiments were performed under ketamine/medetomidine anaesthesia. When visual stimulation was performed, a white LED was used. In addition, matlab scripts and the necessary data to reproduce the main results in the publication listed below are provided. A complete description of the surgical procedures, recordings and data analysis can be found in: “Medium spiny neurons activity reveals the discrete segregation of mouse dorsal striatum”, This study was supported by MINECO Starting Grant I+D Jovenes Investigadores [BFU2014-60809-IN]. CSIC-Severo Ochoa Excellence Programmes of the Instituto de Neurociencias [SEV-2013-0317 and SEV-2017-0723]. J. A-C and M. S. are supported by the CSIC-Severo Ochoa Excellence Programme of the Instituto de Neurociencias [SEV2013-0317]. R. M. is supported by La Caixa-Severo Ochoa [2016/00006/001]., Data folder contains to sub-folders, containing the spontaneous and the evoked activity used in this paper: 1.The folder “Spontaneous activity recordings” contains the following files: - DCS/DLS/DMS_recordings are each one matrix of neurons x time, on which each row is one MSN recorded in that area. - Pair of MSNS consists in a matlab cell with pairs of MSNs recorded simultaneously. Upper row is the DLS-MSN, bottom row is the DMS-MSN. - DMS/DLS_with_LFPs consists in a cell with the simultaneous recordings. Each cell has a different number of rows depending on the number of LFPs. MSN is the end row - LFPs information contain the info required to know which LFPs were recorded with each MSN in the DMS/DLS_with_LFPs files.-- 2. The folder “Visual stimulation PSTHs” contains the following files: - PSTHs_DCS contains the peristimulus histograms of the DCS-MSNs in response to visual stimulations. - PSTHs_DMS contains the peristimulus histograms of the DMS-MSNs in response to visual stimulations., Peer reviewed

DOI: http://hdl.handle.net/10261/229794
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229794
HANDLE: http://hdl.handle.net/10261/229794
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229794
PMID: http://hdl.handle.net/10261/229794
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229794
Ver en: http://hdl.handle.net/10261/229794
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/229794

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230216
Dataset. 2021

HABITATS HOLD A PHYLOGENETIC SIGNAL OF PAST CLIMATIC REFUGIA IN THE PYRENEAN RANGE, A BIOGEOGRAPHICAL CROSSROAD

  • García González, María Begoña
  • Miranda, Héctor
  • Pizarro Gavilán, Manuel
  • Font, Xavier
  • Roquet, Cristina
  • González-Sampériz, Penélope
Habitats hold a phylogenetic signal of past climatic refugia in the Pyrenean range, a biogeographical crossroad. This set of data come from the SIVIM database, and original data produced from our analysis. Used to test refugial locations in the Pyrenees, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/230216
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230216
HANDLE: http://hdl.handle.net/10261/230216
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230216
PMID: http://hdl.handle.net/10261/230216
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230216
Ver en: http://hdl.handle.net/10261/230216
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230216

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230631
Dataset. 2021

APHID-BORNE VIRUSES INFECTING CULTIVATED WATERMELON AND SQUASH IN SPAIN

  • Rabadán Manzanera, María del Pilar
  • Juárez, Miguel
  • Moya-Ruiz, C de
  • Gómez, Pedro
Aphid borne viruses are responsible for major plant diseases, we monitored for three consecutive (2018-2020) seasons, the presence of aphid-borne viruses from a total of 292 samples of watermelon and squash that showed yellowing symptoms. The samples were collected from three major cucurbit-producing areas (Castilla La-Mancha, Alicante and Murcia) in Spain. We found that cucurbit aphid-borne yellow virus (CABYV) was the most common virus found (29%) in the plants from both crops. Likewise, except for squash samples from Castilla La-Mancha and Alicante, watermelon mosaic virus (WMV) was also found (23%) with a relatively high frequency in watermelon plants, while the occurrences of PRSV and ZYMV were low (<3%), and even CMV was undetected in both plant species. Additionally, two CABYV cDNA infectious clones (CABYV LP-63 and CABYV-MEC 12.1) were constructed for further characterization, with the LP63 isolate causing more severe symptoms and showing higher RNA accumulation than MEC12.1 in five cucurbits plant species., Funding: AGL2017-89550-R from the Agencia Estatal de Investigación (AEI) and FEDER (EU) funds., Peer reviewed

DOI: http://hdl.handle.net/10261/230631
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230631
HANDLE: http://hdl.handle.net/10261/230631
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230631
PMID: http://hdl.handle.net/10261/230631
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230631
Ver en: http://hdl.handle.net/10261/230631
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230631

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230788
Dataset. 2021

ÍNDICES AGROCLIMÁTICOS DE ESPAÑA

  • Serrano-Notivoli, Roberto
  • Beguería, Santiago
Los 18 indicadores agroclimáticos están calculados sobre una malla de 5x5 km para el periodo 1981-2010 cubriendo todo el territorio de la España peninsular. Se ofrecen los datos a resolución anual excepto para los valores de probabilidad, que tienen un único valor para todo el periodo., Base de datos de indicadores agroclimáticos para la España peninsular, No

Proyecto: //
DOI: http://hdl.handle.net/10261/230788
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230788
HANDLE: http://hdl.handle.net/10261/230788
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230788
PMID: http://hdl.handle.net/10261/230788
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230788
Ver en: http://hdl.handle.net/10261/230788
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/230788

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/231527
Dataset. 2000

PRACTICAS-00 CRUISE, RV GARCÍA DEL CID

  • Arístegui, Javier
  • CSIC - Unidad de Tecnología Marina (UTM)
PRACTICAS-00 Cruise (29GD20000222) carried out on the Research Vessel García del Cid in 2000, Practices of physical, biological and chemical oceanography and marine geology of the Marine Sciense faculty, University of Las Palmas de Gran Canaria

Proyecto: //
DOI: http://hdl.handle.net/10261/231527
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/231527
HANDLE: http://hdl.handle.net/10261/231527
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/231527
PMID: http://hdl.handle.net/10261/231527
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/231527
Ver en: http://hdl.handle.net/10261/231527
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/231527

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