Resultados totales (Incluyendo duplicados): 33514
Encontrada(s) 3352 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285475
Dataset. 2020

OCCURRENCE DATA ON CHLORINATED PARAFFINS IN FEED AND 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
  • Ntzani, Evangelia
  • Petersen, Annette
  • Sand, Salomon
  • Schwerdtle, Tanja
  • Vleminckx, Christiane
  • Wallace, Heather
  • Brüschweiler, Beat
  • Leonards, Pim
  • Rose, Martin
  • Binaglia, Marco
  • Horvath, Zsuzsanna
  • Ramos Bordajandi, Luisa
  • Nielsen, Elsa
This Annex is an excel file which presents tables on chlorinated paraffins on occurrence data in food and dietary exposure assessment for humans., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285475
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285475
HANDLE: http://hdl.handle.net/10261/285475
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285475
PMID: http://hdl.handle.net/10261/285475
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285475
Ver en: http://hdl.handle.net/10261/285475
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285475

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285496
Dataset. 2022

CORRELATION OF THE KINETICS OF VIRAL ANTIGEN AND GENOMIC RNA WITH RESTORATION OF NORMAL CELL HOMEOSTASIS

  • Castro, Victoria
  • Calvo, Gema
  • Gastaminza, Pablo
The main objective of the studies within COCID Work Package 6 is to understand basic mechanisms by which viral replication machineries are removed from cells after pharmacological interruption of viral replication using functional as well as imaging techniques, including soft X-ray tomography. In this document, we highlight the progress in establishing the HCV replication models (replicons), the antiviral treatment chosen to eliminate viral structures from the host cells and the correlation between elimination of the viral replication machinery and restoration of a normal host cell homeostasis, using markers of HCV-induced stress. These data are essential to frame the experimental setup chosen for the imaging process required in subsequent stps of the project., European Commission: CoCID - Compact Cell-Imaging Device to provide insight into the cellular origins of diseases and to aid in the development of novel therapeutics (101017116), Peer reviewed

Proyecto: EC/101017116/
DOI: http://hdl.handle.net/10261/285496
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285496
HANDLE: http://hdl.handle.net/10261/285496
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285496
PMID: http://hdl.handle.net/10261/285496
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285496
Ver en: http://hdl.handle.net/10261/285496
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285496

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500
Dataset. 2022

LONG-TERM MONITORING OF MACROINVERTEBRATES (ABUNDANCE AND DISTRIBUTION) IN DOÑANA WETLANDS 2004-2019

  • Bravo, Miguel A.
  • Román, Isidro
  • Andreu, Ana C.
  • Arribas, Rosa
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats. Three files are provided. The first file (Don_macroinv_ev_20221222) contains the information of each event (eventID, event date, geographical coordinates, sample effort, etc…); the second file (Don_macroinv_occ_20221222) contains the information of the occurrences of individuals recorded in each station and its taxonomic classification; and the third file (Don_macroinv_mof_20221222) provide information of biometric variable (weithg) of macroinvertebrates samples recorded in each occurrence., The monitoring of the macroinvertebrates community in Doñana wetlands was initiated in 2004 as part of the Monitoring Program of Natural Resources and Processes. The aim was to obtain a temporal and continuous series of data in the abundance and distribution of macroinvertebrates species to analyze the evolution of their numbers and estimates biodiversity values. Data were recorded annually between 2004-2019 by more than 2 members of the monitoring team which performed samplings in different locations twice per year in winter-spring and summer seasons when the study sites are flooded. The macroinvertebrates were sampled at the 139 stations classified according to their location (on either aeolian sands or marshland). Funnel traps were used as a sampling method. Between 5-9 funnel traps were randomly distributed (until 50 cm of depth) in each location, depending of the flooded area and depth. The traps were left for 24 hours and emptied the content into white sorting pans. Individuals were counted and identified until the maximun taxonomic level in the field and realease. During samplings, it was identified 65 families. The most abundances were Notonectidae and Corixidae. Data recorded during the surveys included species identification, number of individuals, sex and life stage (pupa, larvae, juvenile, adult) of the organisms when possible, as well as the time and georreferenced data of the observation. Between 2004-2007 data was registered in Excel file and since 2008 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., We acknowledge financial support from National Parks Autonomous Agency (OAPN) between 2002-2007; 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) since all the study period (2005)., 1. Don_macroinv_ev_20221222: eventID, intitutionCode, datasetName, eventDate, year, month, day, continent, country, stateProvince, location, localityID, locality, sampleSizeUnit, sampleSizeEffort, DynamicPropiertiesEvent, eventRemarks, recordedBy.-- 2. Don_macroinv_occ_20221222: eventID, occurrenceID, basisOfRecord, individualCount, sex, lifeStage, kingdom, phylum, order, family, genus, specificEpithet, scientificName.-- 3. Don_macroinv_mof_20221222: ocurrenceID, measurementID, measurementValue, measurementUnit, measurementType, measurementAccuracy, measurementMethod., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285500, https://doi.org/10.20350/digitalCSIC/14882
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500
HANDLE: http://hdl.handle.net/10261/285500, https://doi.org/10.20350/digitalCSIC/14882
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500
PMID: http://hdl.handle.net/10261/285500, https://doi.org/10.20350/digitalCSIC/14882
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500
Ver en: http://hdl.handle.net/10261/285500, https://doi.org/10.20350/digitalCSIC/14882
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285500

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505
Dataset. 2022

LONG-TERM MONITORING OF FISH (ABUNDANCE AND DISTRIBUTION) IN DOÑANA WETLANDS 2004-2019

  • Bravo, Miguel A.
  • Román, Isidro
  • Andreu, Ana C.
  • Arribas, Rosa
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats. Three files are provided. The first file (Don_fish_ev_20221222) contains the information of each event (eventID, event date, geographical coordinates, sample effort, etc…); the second file (Don_fish_occ_20221222) contains the information of the occurrences of fish species recorded in each station, taxonomic classification; and the third file (Don_fish_mof_20221222) provide information of the biometric variable (weight) of fish sample in each occurrence., The monitoring of the fish community in Doñana wetlands was initiated in 2004 as part of the Monitoring Program of Natural Resources and Processes. The aim was to obtain a temporal and continuous series of data in the abundance and distribution of fish species to analyze the evolution of their numbers and estimates biodiversity values. Data were recorded annually between 2004-2019 by more than 2 members of the monitoring team which performed samplings in different locations twice per year in winter-spring and summer seasons when the study sites are flooded. The fishes were sampled at the 139 stations classified according to their location (on either aeolian sands or marshland). Funnel traps were used as a sampling method. Between 5-9 funnel traps were randomly distributed (until 50 cm of depth) in each location, depending of the flooded area and depth. The traps were left for 24 hours and emptied the content into white sorting pans. Individuals were counted and identified until the maximun taxonomic level in the field and realease. During samplings, it was identified 15 families. The most abundances were Poecilidae and Cyprinidae. Data recorded during the surveys included species identification, number of individuals, sex and life stage (pupa, larvae, inmature, mature) of the organisms when possible, as well as the time and georreferenced data of the observation. Between 2004-2007 data was registered in Excel file and since 2008 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., We acknowledge financial support from National Parks Autonomous Agency (OAPN) between 2002-2007; 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) since all the study period (2005)., 1. Don_fish_ev_20221222: eventID, intitutionCode, institutionID, datasetName, eventDate, year, month, day, country, stateProvince, location, localityID, locality, decimalLatitude, decimalLongitude, habitat, sampleSizeUnit, sampleSizeEffort, DynamicPropiertiesEvent, eventRemarks, recordeBy.-- 2. Don_fish_occ_20221222: eventID, occurrenceID, individualCount, sex, lifeStage, kingdom, phylum, order, family, genus, specificEpithet, scientificName.-- 3. Don_fish_mof_20221222: OccurrenceID, measurementID, measurementType, measurementValue, measurementUnit, measurementMethod., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285505, https://doi.org/10.20350/digitalCSIC/14883
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505
HANDLE: http://hdl.handle.net/10261/285505, https://doi.org/10.20350/digitalCSIC/14883
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505
PMID: http://hdl.handle.net/10261/285505, https://doi.org/10.20350/digitalCSIC/14883
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505
Ver en: http://hdl.handle.net/10261/285505, https://doi.org/10.20350/digitalCSIC/14883
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285505

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285507
Dataset. 2022

CONTAMINATION FROM MICROPLASTICS AND OTHER ANTHROPOGENIC PARTICLES IN THE DIGESTIVE TRACTS OF THE COMMERCIAL SPECIES ENGRAULIS ENCRASICOLUS AND SARDINA PILCHARDUS

  • Sánchez-Guerrero Hernández , Miguel Jorge
  • González-Fernández, Daniel
  • Sendra, Marta
  • Ramos, Fernando
  • Yeste, María Pilar
  • González-Ortegón, Enrique
Dataset of microplastics and other anthropogenic particles found on stomach contents of anchovy and sardines in the gulf of Cadiz (Europe) Dataset with date, longitude and latitude, species, area, sub-area, distance to Guadiana river mouth measured in kilometers (Guadiana), distance to Guadalquivir river mouth measured in kilometers (Guadalquivir), distance to the Bay of Cadiz measured in kilometers (Cadiz), distance to Huelva city measured in kilometers (Huelva), Individual, size (Cm), total weight (g), stomach weight (g), Relative condition index (Kn), Gonadosomatic index (GSI), sex, number of fibres and number of “others anthropogenic particles”., Fragments of microplastics (< 5mm) found in commercial species of fish, crustaceans, and bivalves, are an issue of global concern. The bioaccumulation of microplastics and other anthropogenic particles in different levels of the food web may provoke unwanted impacts on marine ecosystems and cause pernicious effects on human health. Here, we study the presence of anthropogenic particles and the fraction of microplastics in the target organs of two representative commercial fish species in Spain; the European anchovy (Engraulis encrasicolus) and the European pilchard (Sardina pilchardus). The individuals were sampled along the continental shelf of the Gulf of Cádiz, from the Bay of Cádiz to Cape Santa Maria. The isolation of the microplastics (MPs) was carried out with a complete alkaline-oxidant organic digestion (KOH-H2O2) of the digestive tract, including both the contents ingested and the muscle tissues. Anthropogenic particles were found in all individuals of both species with an average of 8.94 ± 5.11 items·ind-1. Fibres made up 93 % of the items while fragments and films were represented by the remaining 7 %. The average size of the anthropogenic particles was 0.89 ± 0.82 mm. In addition to the fragment and film particles identified as microplastics, 29 % of the fibres were estimated to be microplastics by Fourier-transform infrared spectroscopy (FTIR) analysis. The main polymer found in both species was nylon. No significant correlation was found between the abundance and size of anthropogenic particles ingested and individual size or other body variables. The analysis of similarities (ANOSIM) and the distanced-based multiple linear regression model showed a high homogeneity in anthropogenic particle contamination in both species throughout the study area along the continental shelf of the Gulf of Cádiz., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285507
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285507
HANDLE: http://hdl.handle.net/10261/285507
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285507
PMID: http://hdl.handle.net/10261/285507
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285507
Ver en: http://hdl.handle.net/10261/285507
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285507

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285515
Dataset. 2021

EVALUATION OF THE SHUCKING OF CERTAIN SPECIES OF SCALLOPS CONTAMINATED WITH LIPOPHILIC TOXINS WITH A VIEW TO THE PRODUCTION OF EDIBLE PARTS MEETING THE SAFETY REQUIREMENTS FORESEEN IN THE UNION LEGISLATION - SUMMARY STATISTICS ON OCCURRENCE AND CONSUMPTION DATA AND EXPOSURE ASSESSMENT RESULTS

  • EFSA CONTAM Panel
  • Schrenk, Dieter
  • Bignami, Margherita
  • Bodin, Laurent
  • Chipman, James Kevin
  • Del Mazo, Jesús
  • Grasl-Kraupp, Bettina
  • Hogstrand, Christer
  • Leblanc, Jean-Charles
  • Nebbia, Carlo Stefano
  • Nielsen, Elsa
  • Ntzani, Evangelia
  • Petersen, Annette
  • Sand, Salomon
  • Schwerdtle, Tanja
  • Vleminckx, Christiane
  • Wallace, Heather
  • Martinez, Ana Gago
  • Gerssen, Arjen
  • Tubaro, Aurelia
  • Cascio, Claudia
  • Cortiñas Abrahantes, José
  • Steinkellner, Hans
  • Hoogenboom, Laurentius (Ron)
The file contains the raw occurrence dataset on lipophilic toxins as extracted from EFSA DWH on 9 June 2020 on 16,845 analytical results presented in the opinion as described in its section 1.3.2. Occurrence data submitted to EFSA. The data 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/10261/285515
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285515
HANDLE: http://hdl.handle.net/10261/285515
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285515
PMID: http://hdl.handle.net/10261/285515
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285515
Ver en: http://hdl.handle.net/10261/285515
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285515

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285516
Dataset. 2021

EVALUATION OF THE SHUCKING OF CERTAIN SPECIES OF SCALLOPS CONTAMINATED WITH DOMOIC ACID WITH A VIEW TO THE PRODUCTION OF EDIBLE PARTS MEETING THE SAFETY REQUIREMENTS FORESEEN IN THE UNION LEGISLATION - SUMMARY STATISTICS ON OCCURRENCE AND CONSUMPTION DATA AND EXPOSURE ASSESSMENT RESULTS

  • EFSA CONTAM Panel
  • Schrenk, Dieter
  • Bignami, Margherita
  • Bodin, Laurent
  • Chipman, James Kevin
  • Del Mazo, Jesús
  • Grasl-Kraupp, Bettina
  • Hogstrand, Christer
  • Leblanc, Jean-Charles
  • Nebbia, Carlo Stefano
  • Nielsen, Elsa
  • Ntzani, Evangelia
  • Petersen, Annette
  • Sand, Salomon
  • Schwerdtle, Tanja
  • Vleminckx, Christiane
  • Wallace, Heather
  • Martinez, Ana Gago
  • Gerssen, Arjen
  • Tubaro, Aurelia
  • Cascio, Claudia
  • Cortiñas Abrahantes, José
  • Steinkellner, Hans
  • Hoogenboom, Laurentius (Ron)
DomoicAcid_Raw_Occurrence_Data.CSV contains the raw occurrence dataset on Domoic Acid contaminant in scallops as extracted from EFSA DWH on the 9 June 2020, 16,369 samples presented in the opinion as described in its section 1.3.2. Occurrence data submitted to EFSA. The data 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: outcome) to address the issue (e.g. delete record or update values in specific fields)., Table A1 Description of FoodEx2 codes used to describe scallop species and their anatomical parts Table A2 Data cleaning steps applied to occurrence data on domoic acid in scallops Table A3 Percentage of Left-Censored data and descriptive statistics for Limits of detection (LODs) and Limits of quantification (LOQs) for domoic acid in scallops (mg/kg) Table A4 Descriptive statistics for domoic acid in scallops (mg/kg) as reported in the cleaned database (statistics weighted by number of units per sample) Table A5 Descriptive statistics of body tissue weights (g) of scallops as submitted by data providers, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285516
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285516
HANDLE: http://hdl.handle.net/10261/285516
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285516
PMID: http://hdl.handle.net/10261/285516
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285516
Ver en: http://hdl.handle.net/10261/285516
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285516

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285518
Dataset. 2021

UPDATE OF THE RISK ASSESSMENT OF HEXABROMOCYCLODODECANES (HBCDDS) IN FOOD: OCCURRENCE DATA IN FOOD SUBMITTED TO EFSA AND DIETARY EXPOSURE ASSESSMENT FOR HUMANS

  • 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
  • Schwerdtle, Tanja
  • Wallace, Heather
  • Benford, Diane
  • Fürst, Peter
  • Rose, Martin
  • Ioannidou, Sofia
  • Nikolic, Marina
  • Ramos Bordajandi, Luisa
  • Vleminckx, Christiane
Annex A – Protocol for the risk assessments for human health related to the presence of brominated flame retardants (BFRs) in food The Annex is provided as a separate pdf file containing the risk assessment protocol selected by the CONTAM Panel to update the previous risk assessments of brominated flame retardants (BFRs) in food. Annex B: Occurrence data on HBCDDs in food submitted to EFSA and dietary surveys per country and age group available in the EFSA Comprehensive Database, considered in the exposure assessment Table B.1 Number of analytical results excluded from the initial dataset during data cleaning, and justification for exclusion Table B.2 Occurrence values of HBCDDs calculated total (µg/kg) by food category in the final dataset Table B.3 Food categories of FoodEx and mean LB and UB values as used for the exposure assessment Table B.4 Dietary surveys and the number of subjects by country and population class, available for the chronic exposure assessment, in the EFSA Comprehensive European Food Consumption Database Table B.5 Summary statistics on data reported for HBCDDs total, analysed with GC-MS, not considered for the exposure Figure B.1 Frequency distribution of the occurrence values for the food categories of interest at the LB without zeros presented on a log 10 scale Figure B.2 Frequency distribution of the occurrence values for the food categories of interest at the UB presented on a log 10 scale HBCDDs_Raw_Occurrence_Data.CSV contains the raw occurrence dataset on Hexabromocyclododecanes (HBCDDs) contaminant as extracted from EFSA DWH in December 2019 on 2530 food samples presented in the opinion as described in its section 3.2.1. Occurrence data submitted to EFSA. The data 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: outcome) to address the issue (e.g. delete record or update values in specific fields). The link to the catalogues of controlled terminologies can be found under "Related identifiers”. Annex D: Chronic dietary exposure to HBCDDs and the contribution of different food groups to the dietary exposure Table D.1 Mean chronic dietary exposure (ng/kg b.w. per day) to HBCDDs for total population across European dietary surveys Table D.2 95th percentile chronic exposures to HBCDDs (ng/kg b.w. per day) for total population for each dietary survey across age classes Table D.3 Relative contribution (%) of food categories to the LB and UB estimates of dietary exposure to HBCDDs across different age classes, dietary surveys and countries Table D.4 Relative contribution of food categories to the LB estimates of dietary exposure to HBCDDs and related figure Table D.5 Relative contribution of food categories to the UB estimates of dietary exposure to HBCDDs and related figure Annex E – Outcome of the Public consultation on the Update of the risk assessment of hexabromocyclododecanes (HBCDDs) in food The Annex is provided as a separate pdf file contain the outcome of the public consultation of the draft scientific Opinion, including the comments received and how they were taken into account when finalising the scientific Opinion, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285518
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285518
HANDLE: http://hdl.handle.net/10261/285518
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285518
PMID: http://hdl.handle.net/10261/285518
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285518
Ver en: http://hdl.handle.net/10261/285518
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285518

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

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