Resultados totales (Incluyendo duplicados): 639
Encontrada(s) 64 página(s)
Encontrada(s) 64 página(s)
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/319761
Set de datos (Dataset). 2020
BATHYMETRY DATA FROM THE R/V RAMON MARGALEF ECHOSOUNDER (2014)
- Tel, Elena
- Díaz-Guerrero, José Ignacio
- Cabezuelo-Hernández, Alberto
Proyecto: //
DOI: http://hdl.handle.net/10261/319761
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/319761
HANDLE: http://hdl.handle.net/10261/319761
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/319761
PMID: http://hdl.handle.net/10261/319761
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/319761
Ver en: http://hdl.handle.net/10261/319761
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/319761
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/319764
Set de datos (Dataset). 2020
BATHYMETRY DATA FROM THE R/V RAMON MARGALEF ECHOSOUNDER (2015)
- Tel, Elena
- Díaz-Guerrero, José Ignacio
- Cabezuelo-Hernández, Alberto
Proyecto: //
DOI: http://hdl.handle.net/10261/319764
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/319764
HANDLE: http://hdl.handle.net/10261/319764
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/319764
PMID: http://hdl.handle.net/10261/319764
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/319764
Ver en: http://hdl.handle.net/10261/319764
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/319764
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323584
Set de datos (Dataset). 2020
MARINE METEOROLOGICAL DATA FROM R/V RAMON MARGALEF 2015
- Tel, Elena
- Díaz-Guerrero, José Ignacio
- Otero, Pablo
R/V Ramon Margalef was built in 2012 for oceanographic research purposes. It mainly operates around Iberian Peninsula waters. Since the beginning of its activity, an automatic weather station has been continuously working, 1-minute sampling marine meteorological data at open sea but also at port. Collected data are directly sent to the Spanish Institute of Oceanogrphy (IEO) Data Center / National Oceanographic Data Center for delayed mode quality control and long-term archive. In the last times, a semi-automatic quality control/quality assessment has been performed on them, and data are formatted in standard format, while a quality flag has been added to each single measurement. This facilitate their reusing for different purposes, from climatology or academical studies to industrial sector needs, between others.
In 2015, air temperature, humidity, wind speed and direction and solar radiation were collected., SEADATACLOUD, SeaDataCloud - Further developing the pan-European infrastructure for marine and ocean data management, EMODNET-DI, EMODnet Data Ingestion, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/323584
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323584
HANDLE: http://hdl.handle.net/10261/323584
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323584
PMID: http://hdl.handle.net/10261/323584
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323584
Ver en: http://hdl.handle.net/10261/323584
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323584
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323588
Set de datos (Dataset). 2020
MARINE METEOROLOGICAL DATA FROM R/V RAMON MARGALEF 2016
- Tel, Elena
- Díaz-Guerrero, José Ignacio
- Otero, Pablo
R/V Ramon Margalef was built in 2012 for oceanographic research purposes. It mainly operates around Iberian Peninsula waters. Since the beginning of its activity, an automatic weather station has been continuously working, 1-minute sampling marine meteorological data at open sea but also at port. Collected data are directly sent to the Spanish Institute of Oceanogrphy (IEO) Data Center / National Oceanographic Data Center for delayed mode quality control and long-term archive. In the last times, a semi-automatic quality control/quality assessment has been performed on them, and data are formatted in standard format, while a quality flag has been added to each single measurement. This facilitate their reusing for different purposes, from climatology or academical studies to industrial sector needs, between others.
In 2016, atmospheric pressure, air temperature, humidity, wind speed and direction and solar radiation were collected., SeaDataCloud - Further developing the pan-European infrastructure for marine and ocean data management, SEADATACLOUD, EMODNET-DI, EMODnet Data Ingestion, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/323588
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323588
HANDLE: http://hdl.handle.net/10261/323588
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323588
PMID: http://hdl.handle.net/10261/323588
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323588
Ver en: http://hdl.handle.net/10261/323588
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323588
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323593
Set de datos (Dataset). 2020
MARINE METEOROLOGICAL DATA FROM R/V RAMON MARGALEF 2017
- Tel, Elena
- Díaz-Guerrero, José Ignacio
- Otero, Pablo
R/V Ramon Margalef was built in 2012 for oceanographic research purposes. It mainly operates around Iberian Peninsula waters. Since the beginning of its activity, an automatic weather station has been continuously working, 1-minute sampling marine meteorological data at open sea but also at port. Collected data are directly sent to the Spanish Institute of Oceanogrphy (IEO) Data Center / National Oceanographic Data Center for delayed mode quality control and long-term archive. In the last times, a semi-automatic quality control/quality assessment has been performed on them, and data are formatted in standard format, while a quality flag has been added to each single measurement. This facilitate their reusing for different purposes, from climatology or academical studies to industrial sector needs, between others.
In 2017, atmospheric pressure, air temperature, humidity, wind speed and direction and solar radiation were collected, SEADATACLOUD, SeaDataCloud - Further developing the pan-European infrastructure for marine and ocean data management, EMODNET-DI, EMODnet Data Ingestion, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/323593
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323593
HANDLE: http://hdl.handle.net/10261/323593
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323593
PMID: http://hdl.handle.net/10261/323593
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323593
Ver en: http://hdl.handle.net/10261/323593
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323593
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323597
Set de datos (Dataset). 2020
MARINE METEOROLOGICAL DATA FROM R/V RAMON MARGALEF 2018
- Tel, Elena
- Díaz-Guerrero, José Ignacio
- Otero, Pablo
R/V Ramon Margalef was built in 2012 for oceanographic research purposes. It mainly operates around Iberian Peninsula waters. Since the beginning of its activity, an automatic weather station has been continuously working, 1-minute sampling marine meteorological data at open sea but also at port. Collected data are directly sent to the Spanish Institute of Oceanogrphy (IEO) Data Center / National Oceanographic Data Center for delayed mode quality control and long-term archive. In the last times, a semi-automatic quality control/quality assessment has been performed on them, and data are formatted in standard format, while a quality flag has been added to each single measurement. This facilitate their reusing for different purposes, from climatology or academical studies to industrial sector needs, between others.
In 2018, atmospheric pressure, air temperature, humidity, wind speed and direction and solar radiation were collected., SeaDataCloud - Further developing the pan-European infrastructure for marine and ocean data management, SEADATACLOUD, EMODnet Data Ingestion, EMODNET-DI, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/323597
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323597
HANDLE: http://hdl.handle.net/10261/323597
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323597
PMID: http://hdl.handle.net/10261/323597
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323597
Ver en: http://hdl.handle.net/10261/323597
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323597
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323613
Set de datos (Dataset). 2020
MARINE METEOROLOGICAL DATA FROM R/V RAMON MARGALEF 2019
- Tel, Elena
- Díaz-Guerrero, José Ignacio
- Otero, Pablo
R/V Ramon Margalef was built in 2012 for oceanographic research purposes. It mainly operates around Iberian Peninsula waters. Since the beginning of its activity, an automatic weather station has been continuously working, 1-minute sampling marine meteorological data at open sea but also at port. Collected data are directly sent to the Spanish Institute of Oceanogrphy (IEO) Data Center / National Oceanographic Data Center for delayed mode quality control and long-term archive. In the last times, a semi-automatic quality control/quality assessment has been performed on them, and data are formatted in standard format, while a quality flag has been added to each single measurement. This facilitate their reusing for different purposes, from climatology or academical studies to industrial sector needs, between others.
In 2019, atmospheric pressure, air temperature, humidity, wind speed and direction and solar radiation were collected., SEADATACLOUD, SeaDataCloud - Further developing the pan-European infrastructure for marine and ocean data management, EMODnet Data Ingestion, EMODNET-DI, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/323613
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323613
HANDLE: http://hdl.handle.net/10261/323613
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323613
PMID: http://hdl.handle.net/10261/323613
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323613
Ver en: http://hdl.handle.net/10261/323613
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/323613
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329617
Set de datos (Dataset). 2020
DATABASE USED FOR THE SUPERVISED LEARNING OF FEW DIRTY BOSONS WITH VARIABLE PARTICLE NUMBER
- Mujal, Pere
- Martínez Miguel, Àlex
- Polls, Artur
- Juliá-Díaz, Bruno
- Pilati, Sebastiano
This dataset includes files with points of different disordered potentials and their corresponding ground state energies depending on the number of particles of the system (N=1,2,3,4). It has been used to train a neural network., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/329617
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329617
HANDLE: http://hdl.handle.net/10261/329617
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329617
PMID: http://hdl.handle.net/10261/329617
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329617
Ver en: http://hdl.handle.net/10261/329617
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329617
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339574
Set de datos (Dataset). 2020
CTD DATA, SUMMER CRUISE, RV SARMIENTO DE GAMBOA
- Olivar, M. Pilar
- Emelianov, Mikhail
Water column data from 23 CTDs acquired on board the RV Sarmiento de Gamboa with a SeaBird SBE911 plus CTD, rosette and LADCP during SUMMER cruise, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/339574, http://dx.doi.org/10.20351/29SG20200929_CTD_ROS_LADCP
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339574
HANDLE: http://hdl.handle.net/10261/339574, http://dx.doi.org/10.20351/29SG20200929_CTD_ROS_LADCP
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339574
PMID: http://hdl.handle.net/10261/339574, http://dx.doi.org/10.20351/29SG20200929_CTD_ROS_LADCP
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339574
Ver en: http://hdl.handle.net/10261/339574, http://dx.doi.org/10.20351/29SG20200929_CTD_ROS_LADCP
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339574
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339979
Set de datos (Dataset). 2020
SUPPLEMENTARY MATERIALS - ENGINEERING A CIRCULAR RIBOREGULATOR IN ESCHERICHIA COLI
- Rostain, William
- Shen, Shensi
- Cordero, Teresa
- Rodrigo, Guillermo
- Jaramillo, Alfonso
Figure S1: predicted secondary structure of circRAJ31. Figure S2: analysis of the secondary structure of the 5
UTR and the first 30 bp of the coding sequence of gfp or cat. Figure S3: electrophoretic assay and sequencing results of RT-PCR after in vitro transcription. Figure S4: putative sequence of the RT-PCR misprocessing reaction. Figure S5: response of the system to varying concentrations of aTc (which controls expression of the riboregulator). Figure S6: characterization of mutant systems. Figure S7: growth of cells cotransformed with plasmids expressing circRAJ31 and CamR on plates without chloramphenicol (Cam) and on plates with chloramphenicol and different inducers. Figure S8: growth curves with a cis-repressed gene coding for chloramphenicol acetyltransferase (CamR). Figure S9: additional growth curves for different concentrations of Cam. Table S2: sequences of the primers used in this work., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/339979
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339979
HANDLE: http://hdl.handle.net/10261/339979
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339979
PMID: http://hdl.handle.net/10261/339979
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339979
Ver en: http://hdl.handle.net/10261/339979
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339979
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