Resultados totales (Incluyendo duplicados): 44423
Encontrada(s) 4443 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285519
Dataset. 2020

ANNEXES TO THE RISK TO HUMAN HEALTH RELATED TO THE PRESENCE OF PERFLUOROALKYL SUBSTANCES IN FOOD

  • EFSA CONTAM Panel
  • Schrenk, Dieter
  • Bignami, Margherita
  • Bodin, Laurent
  • Chipman, James Kevin
  • Del Mazo, Jesús
  • Grasl-Kraupp, Bettina
  • Hogstrand, Christer
  • Hoogenboom, Laurentius (Ron)
  • Leblanc, Jean-Charles
  • Nebbia, Carlo Stefano
  • Nielsen, Elsa
  • Ntzani, Evangelia
  • Petersen, Annette
  • Sand, Salomon
  • Vleminckx, Christiane
  • Wallace, Heather
  • Barregard, Lars
  • Ceccatelli, Sandra
  • Cravedi, Jean-Pierre
  • Halldorsson, Thorhallur Ingi
  • Haug,Line Smastuen
  • Johansson, Niklas
  • Knutsen, Helle Katrine
  • Rose, Martin
  • Roudot, Alain-Claude
  • Loveren, Henk van
  • Vollmer, Günter
  • Mackay, Karen
  • Riolo, Francesca
  • Schwerdtle, Tanja
Annexes to the Risk to human health related to the presence of perfluoroalkyl substances in food - available at: https://www.efsa.europa.eu/en/efsajournal/pub/6223 Annex A - Occurrence and exposure data Annex B - Distribution of analytical results Annex C - Comparison of PFOA and PFOS occurrence and exposure data with previous assessment (EFSA CONTAM Panel, 2018). Also the raw (no data cleaning applied to it) occurrence dataset as extracted from EFSA DWH is provided in csv format. This dataset is compliant with EFSA SSD model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: action) to address the issue (e.g. delete record or update values in specific fields)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285519
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285519
HANDLE: http://hdl.handle.net/10261/285519
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285519
PMID: http://hdl.handle.net/10261/285519
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285519
Ver en: http://hdl.handle.net/10261/285519
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285519

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285520
Dataset. 2020

DATASETS AND SUPPORTING MATERIALS FOR THE IPIN 2020 COMPETITION TRACK 3 (SMARTPHONE-BASED, OFF-SITE)

  • Torres-Sospedra, Joaquín
  • Quezada Gaibor, Darwin
  • Jiménez Ruiz, Antonio R.
  • Pérez-Navarro, Antoni
  • Seco Granja, Fernando
This package contains the datasets and supplementary materials used in the IPIN 2020 Competition. Contents: IPIN2020_Track03_TechnicalAnnex_V1-01.pdf: Technical annex describing the competition 01-Logfiles: This folder contains a subfolder with the 78 training logfiles, 72 of them single floor, 4 in bookshelves areas and 2 of them in floor-transition zones, a subfolder with the 13 validation logfiles, and a subfolder with the 1 blind evaluation logfile as provided to competitors. 02-Supplementary_Materials: This folder contains the matlab/octave parser, the raster maps, the files for the matlab tools and the trajectory visualization. 03-Evaluation: This folder contains the scripts used to calculate the competition metric, the 75th percentile on the 82 evaluation points. It requires the Matlab Mapping Toolbox. The ground truth is also provided as a CSV file. Since the results must be provided with a 2Hz freq. starting from apptimestamp 0, the GT includes the closest timestamp matching the timing provided by competitors. It contains a sample of reported estimations and the corresponding results. Additionally, we provide a second script to provide a more detailed report on the results file (requires export_fig folder to run)., Parts of this work were carried out with the financial support received from projects and grants: - A-WEAR (H2020-MSCA-ITN-2018, Grant Agreement 813278) - INSIGNIA (PTQ2018-009981) - REPNIN+ network (TEC2017-90808-REDT) - LORIS (TIN2012-38080-C04-04) - SmartLoc(CSIC-PIE Ref.201450E011) - TARSIUS (TIN2015-71564-C4-2-R, MINECO/FEDER) - MICROCEBUS (MICINN, ref. RTI2018-095168-B-C55, MCIU/AEI/FEDER UE) ., Peer reviewed

DOI: http://hdl.handle.net/10261/285520
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285520
HANDLE: http://hdl.handle.net/10261/285520
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285520
PMID: http://hdl.handle.net/10261/285520
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285520
Ver en: http://hdl.handle.net/10261/285520
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285520

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285530
Dataset. 2016

SCHEDULING SUCCESS RATIOS AND COMPUTATIONAL COST OF THE MECHANISM

  • Fernández, Gabriel
  • Abella, Jaume
  • Quiñones, Eduardo
  • Fossati, Luca
  • Zulianello, Marco
  • Vardanega, Tullio
  • Cazorla, Francisco J.
2015 IEEE 18th International Symposium on Real-Time Distributed Computing (ISORC), Auckland, 13-17 April 2015, The .xls spreadsheet contains scheduling success ratios and computational cost of the mechanism related to the publication "Seeking Time-Composable Partitions of Tasks for COTS Multicore Processors"., European Commission: SAFURE - SAFety and secURity by design for interconnected mixed-critical cyber-physical systems (644080), Peer reviewed

Proyecto: EC/H2020/644080
DOI: http://hdl.handle.net/10261/285530
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285530
HANDLE: http://hdl.handle.net/10261/285530
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285530
PMID: http://hdl.handle.net/10261/285530
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285530
Ver en: http://hdl.handle.net/10261/285530
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285530

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285546
Dataset. 2016

MEASUREMENTS OF MULTICORE SLOWDOWN

  • Fernández, Gabriel
  • Jalle, Javier
  • Abella, Jaume
  • Quiñones, Eduardo
  • Vardanega, Tullio
  • Cazorla, Francisco J.
DAC '15 Proceedings of the 52nd Annual Design Automation Conference, ACM New York, New York., The .xls spreadsheet includes the measurements of multicore slowdown as described in the paper "Resource usage templates and signatures for COTS multicore processors"., European Commission: SAFURE - SAFety and secURity by design for interconnected mixed-critical cyber-physical systems (644080), Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285546
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285546
HANDLE: http://hdl.handle.net/10261/285546
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285546
PMID: http://hdl.handle.net/10261/285546
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285546
Ver en: http://hdl.handle.net/10261/285546
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285546

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285592
Dataset. 2016

MEASUREMENTS OF MULTICORE CONTENTION

  • Fernández, Gabriel
  • Jalle, Javier
  • Abella, Jaume
  • Quiñones, Eduardo
  • Vardanega, Tullio
  • Cazorla, Francisco J.
Design Automation Conference (DAC), San Francisco, 7-11 June 2015, European Commission: SAFURE - SAFety and secURity by design for interconnected mixed-critical cyber-physical systems (644080), 2015DAC-BSC.02.xlsx, Peer reviewed

Proyecto: EC/H2020/644080
DOI: http://hdl.handle.net/10261/285592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285592
HANDLE: http://hdl.handle.net/10261/285592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285592
PMID: http://hdl.handle.net/10261/285592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285592
Ver en: http://hdl.handle.net/10261/285592
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285592

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285608
Dataset. 2022

MICROBIOLOGICAL AGENTS AS NOTIFIED TO EFSA

  • EFSA BIOHAZ Panel
  • Koutsoumanis, Konstantinos
  • Allende, Ana
  • Álvarez-Ordóñez, Avelino
  • Bolton, Declan
  • Bover-Cid, Sara
  • Chemaly, Marianne
  • Davies, Robert
  • De Cesare, Alessandra
  • Hilbert, Friederike
  • Lindqvist, Roland
  • Nauta, Maarten
  • Peixe, Luisa
  • Ru, Giuseppe
  • Simmons, Marion
  • Skandamis, Panagiotis
  • Suffredini, Elisabetta
  • Cocconcelli, Pier Sandro
  • Fernández Escámez, Pablo Salvador
  • Prieto Maradona, Miguel
  • Querol, Amparo
  • Sijtsma, Lolke
  • Suárez Fernández, Juan Evaristo
  • Sundh, Ingvar
  • Vlak, Just M.
  • Barizzone, Fulvio
  • Hempen, Michaela
  • Correia, Sandra
  • Herman, Lieve
This is the list of “Microbiological agents as notified to EFSA” from 2007, in the context of technical dossiers to EFSA Units, for intentional use in feed and/or food or as sources of food and feed additives, enzymes and plant protection products (PPPs) for safety assessment. This is supplementing the QPS statements part 11, part 12, part 13, part 14, part 15, part 16 and the 2019 Scientific Opinion of the BIOHAZ Panel of EFSA - see related identifiers. EFSA topic on QPS: https://www.efsa.europa.eu/en/topics/topic/qualified-presumption-safety-qps, Microbial species as notified to EFSA_March2022.xlsx, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285608
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285608
HANDLE: http://hdl.handle.net/10261/285608
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285608
PMID: http://hdl.handle.net/10261/285608
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285608
Ver en: http://hdl.handle.net/10261/285608
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285608

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285609
Dataset. 2022

COLLECTIVE PLASMONIC RESONANCES ENHANCE THE PHOTOLUMINESCENCE OF RARE-EARTH NANOCRYSTAL FILMS PROCESSED BY ULTRAFAST ANNEALING

  • Cabello-Olmo, Elena
  • Higashino, Makoto
  • Murai, Shunsuke
  • Tanaka, Katsuhisa
  • Lozano, Gabriel
  • Míguez, Hernán
Herein, we demonstrate that rapid thermal annealing allows achieving close-to-one photoluminescence quantum yield while preserving the transparency of rare-earth nanocrystal films, which further enables their integration with nanophotonics. The combination with periodic arrays of aluminum nanodisks that support collective plasmonic resonances leads to enhanced directional emission., This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation Programme (NANOPHOM, grant agreement no. 715832). E.C.O. acknowledges the grant FPU19/00346 funded by MCIN/AEI/10.13039/501100011033 and ESF Investing in your Future. S. M. and K.T. thanks support from MEXT, Japan (Kakenhi 21H04619, 22H01776) and the Futaba foundation., Peer reviewed

Proyecto: EC/H2020/715832
DOI: http://hdl.handle.net/10261/285609, https://doi.org/10.20350/digitalCSIC/15076
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285609
HANDLE: http://hdl.handle.net/10261/285609, https://doi.org/10.20350/digitalCSIC/15076
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285609
PMID: http://hdl.handle.net/10261/285609, https://doi.org/10.20350/digitalCSIC/15076
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285609
Ver en: http://hdl.handle.net/10261/285609, https://doi.org/10.20350/digitalCSIC/15076
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285609

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285613
Dataset. 2022

BIOMASS CHARACTERIZATION

  • Centeno, Teresa A.
  • Díez Díaz-Estébanez, María Antonia
  • Barisano, Donatella
Physicochemical features of the selected biomass wastes in the GICO project (https://www.gicoproject.eu/): Proximate, ultimate analyses, S and Cl contents and calorific value, European Commission: GICO - Gasification Integrated with CO2 capture and conversion (101006656), WP2T1_DataN2.xlsx, Peer reviewed

DOI: http://hdl.handle.net/10261/285613
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285613
HANDLE: http://hdl.handle.net/10261/285613
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285613
PMID: http://hdl.handle.net/10261/285613
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285613
Ver en: http://hdl.handle.net/10261/285613
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285613

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285626
Dataset. 2016

SUPPLEMENTARY MATERIAL 3 FROM: SMIRNOVA L, MERGEN P, GROOM Q, DE WEVER A, PENEV L, STOEV P, PE'ER I, RUNNEL V, CAMACHO A, VINCENT T, AGOSTI D, ARVANITIDIS C, BONET F, SAARENMAA H (2016) DATA SHARING TOOLS ADOPTED BY THE EUROPEAN BIODIVERSITY OBSERVATION NETWORK PROJECT. RESEARCH IDEAS AND OUTCOMES 2: E9390. HTTPS://DOI.ORG/10.3897/RIO.2.E9390

  • Smirnova, Larissa
  • Mergen, Patricia
  • Groom, Quentin J.
  • De Wever, Aaike
  • Penev, Lyubomir
  • Stoev, Pavel
  • Pe’er, Israel
  • Runnel, Veljo
  • García Camacho, Antonio
  • Vincent, Timothy
  • Agosti, Donat
  • Arvanitidis, Christos
  • Bonet-García, Francisco J.
  • Saarenmaa, Hannu
List of tested and analyzed data sharing tools (non-exhaustive), oo_87342.pdf, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285626
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285626
HANDLE: http://hdl.handle.net/10261/285626
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285626
PMID: http://hdl.handle.net/10261/285626
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285626
Ver en: http://hdl.handle.net/10261/285626
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285626

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285704
Dataset. 2022

VARIATION IN LEAF TRANSCRIPTOME RESPONSES TO ELEVATED OZONE CORRESPONDS WITH PHYSIOLOGICAL SENSITIVITY TO OZONE ACROSS MAIZE INBRED LINES

  • Nanni, Adalena V.
  • Morse, Alison M.
  • Newman, Jeremy R. B.
  • Choquette, Nicole E.
  • Wedow, Jessica M.
  • Liu, Zihao
  • Leakey, Andrew D. B.
  • Conesa, Ana
  • Ainsworth, Elizabeth A.
  • McIntyre, Lauren M.
All FASTA files used for BLAST analyses and all BLAST results for https://doi.org/10.1093/genetics/iyac080 are included. Descriptions of each file can be found in README_maize_genetics_2022_zenodo.csv and further information about the content of the files can be found on github., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285704
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285704
HANDLE: http://hdl.handle.net/10261/285704
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285704
PMID: http://hdl.handle.net/10261/285704
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285704
Ver en: http://hdl.handle.net/10261/285704
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285704

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