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Encontrada(s) 4443 página(s)
Encontrada(s) 4443 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285459
Dataset. 2020
RISK ASSESSMENT ON GLYCOALKALOIDS IN FEED AND FOOD: OCCURRENCE DATA IN FOOD AND FEED SUBMITTED TO EFSA AND DIETARY EXPOSURE ASSESSMENT FOR HUMANS
- EFSA CONTAM Panel
- Schrenk, Dieter
- Bignami, Margherita
- Bodin, Laurent
- Chipman, James Kevin
- Del Mazo, Jesús
- Hogstrand, Christer
- Hoogenboom, Laurentius (Ron)
- Leblanc, Jean-Charles
- Nebbia, Carlo Stefano
- Nielsen, Elsa
- Ntzani, Evangelia
- Petersen, Annette
- Sand, Salomon
- Schwerdtle, Tanja
- Vleminckx, Christiane
- Wallace, Heather
- Brimer, Leon
- Cottrill, Bruce
- Dusemund, Birgit
- Mulder, Patrick
- Vollmer, Günter
- Binaglia, Marco
- Ramos Bordajandi, Luisa
- Riolo, Francesca
- Roldan-Torres, Ruth
- Grasl-Kraupp, Bettina
[UPDATE to version 2 of this upload] 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).
[Description - Version 1]
Annex: Tables on GAs on occurrence data in food and feed, and dietary exposure assessment for humans
Table A.1. Dietary surveys used for the estimation of acute dietary exposure to GA
Table A.2. Number of results and samples per food category submitted to EFSA through the continuous call for data
Table A.3. Analytical results excluded from the final dataset used to estimate dietary exposure and the criteria applied for exclusion
Table A.4. Occurrence of alpha-chaconine and alpha-solanine (UB mg/kg) in the samples included in the final dataset (left censored results highlighted in yellow)
Table A.5. European Starch Association data on feed and potatoes for starch
Table A.6. Details acute assessment across surveys (consumption days only)
Table A.7. Comparison of exposure summary results obtained using the uniform vs the normal distribution for reduction factors, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/285459
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285459
HANDLE: http://hdl.handle.net/10261/285459
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285459
PMID: http://hdl.handle.net/10261/285459
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285459
Ver en: http://hdl.handle.net/10261/285459
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285459
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285463
Dataset. 2020
OCCURRENCE DATA ON NICKEL 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
- Ntzani, Evangelia
- Petersen, Annette
- Sand, Salomon
- Schwerdtle, Tanja
- Vleminckx, Christiane
- Wallace, Heather
- Guérin, Thierry
- Massanyi, Peter
- van Loveren, Henk
- Baert, Katleen
- Gergelova, Petra
- Nielsen, Elsa
Contains the raw (no data cleaning applied to it) occurrence dataset on nickel as extracted from EFSA DWH on 7 February 2020 in food samples presented in the opinion as described in its section 3.2.1. 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/10261/285463
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285463
HANDLE: http://hdl.handle.net/10261/285463
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285463
PMID: http://hdl.handle.net/10261/285463
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285463
Ver en: http://hdl.handle.net/10261/285463
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285463
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285464
Dataset. 2020
ANNEXES TO THE UPDATE OF THE RISK ASSESSMENT OF NICKEL IN FOOD AND DRINKING WATER
- 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
- Guérin, Thierry
- Massanyi, Peter
- van Loveren, Henk
- Baert, Katleen
- Gergelova, Petra
- Nielsen, Elsa
Annex A – Benchmark dose analysis
The Annex is provided as a separate pdf file containing the detailed results of the benchmark dose analyses from which no reference point was selected.
Annex B – Dietary surveys per country and age group available in the EFSA Comprehensive Database, considered in the exposure assessment
The Annex is provided as a separate Excel file containing the dietary surveys per country and age group.
Annex C – Occurrence data on nickel in food and drinking water
The Annex is provided as a separate Excel file containing summary statistics on occurrence data on nickel.
Annex D – Chronic and acute dietary exposure to nickel and the contribution of different food groups to the dietary exposure
The Annex is provided as a separate Excel file containing the chronic and acute dietary exposure to nickel per survey and the contribution of different food groups to the dietary exposure., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/285464
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285464
HANDLE: http://hdl.handle.net/10261/285464
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285464
PMID: http://hdl.handle.net/10261/285464
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285464
Ver en: http://hdl.handle.net/10261/285464
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285464
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285465
Dataset. 2020
RISK ASSESSMENT OF OCHRATOXIN A IN FOOD - SUMMARY STATISTICS ON OCCURRENCE AND CONSUMPTION DATA AND EXPOSURE ASSESSMENT RESULTS - FINAL OCCURRENCE DATA
- EFSA CONTAM Panel
- Schrenk, Dieter
- 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
- Vleminckx, Christiane
- Wallace, Heather
- Alexander, Jan
- Dall'Asta, Chiara
- Mally, Angela
- Metzler, Manfred
- Binaglia, Marco
- Horvath, Zsuzsanna
- Steinkellner, Hans
- Bignami, Margherita
Annex: Summary statistics on occurrence and consumption data and exposure assessment results
Table 1 Number of analytical results excluded from the initial dataset during data cleaning, and justification for exclusion
Table 2 Occurrence values of OTA (µg/kg) in food as reported in the cleaned database
Table 3 Occurrence values of OTA (µg/kg) in food as used for the exposure assessment
Table 4 Dietary surveys per country and age group available in the EFSA Comprehensive Database, considered in the exposure assessment
Table 5 Results of chronic dietary exposure assessment on OTA (ng/kg bw per day)
Table 6 Main contributing food categories to the mean LB exposure assessments to OTA across European dietary surveys and population groups
Table 7 Distribution of LOQ values among the different food categories
Table 8 All contributing food categories to the mean LB and UB exposure to OTA across European dietary surveys and population groups
FormattedDATA_OchratoxinA.zip: Occurrence data on OTA
Contains the occurrence data of OTA on 73,891 food samples presented in the opinion as described in its section 4.7 Occurrence data., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/285465
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285465
HANDLE: http://hdl.handle.net/10261/285465
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285465
PMID: http://hdl.handle.net/10261/285465
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285465
Ver en: http://hdl.handle.net/10261/285465
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285465
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466
Dataset. 2020
OCCURRENCE DATA OF NITRATE AND NITRITE IN FEED
- EFSA CONTAM Panel
- Bignami, Margherita
- Bodin, Laurent
- Chipman, James Kevin
- Del Mazo, Jesús
- Grasl-Kraupp, Bettina
- Hoogenboom, Laurentius (Ron)
- Leblanc, Jean-Charles
- Nebbia, Carlo Stefano
- Nielsen, Elsa
- Ntzani, Evangelia
- Petersen, Annette
- Sand, Salomon
- Schwerdtle, Tanja
- Vleminckx, Christiane
- Wallace, Heather
- Bampidis, Vasileios
- Cottrill, Bruce
- Frutos, María José
- Fürst, Peter
- Parker, Anthony
- Binaglia, Marco
- Christodoulidou, Anna
- Gergelova, Petra
- Muñoz Guajardo, Irene
- Hogstrand, Christer
- Wenger, Carina
Annex_III_occurrence data.xlsx
This Annex is an excel file presenting tables on occurrence data on nitrate and nitrite in feed.
Nitrate Nitrite_OCC_ZENODO.CSV
Contains the raw (no data cleaning applied to it) occurrence dataset on nitrate and nitrite as extracted from EFSA DWH on 03 December 2019 in feed samples presented in the opinion as described in its section 3.2.2. 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/10261/285466, https://doi.org/10.20350/digitalCSIC/14880
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466
HANDLE: http://hdl.handle.net/10261/285466, https://doi.org/10.20350/digitalCSIC/14880
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466
PMID: http://hdl.handle.net/10261/285466, https://doi.org/10.20350/digitalCSIC/14880
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466
Ver en: http://hdl.handle.net/10261/285466, https://doi.org/10.20350/digitalCSIC/14880
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285466
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285469
Dataset. 2020
ANNEXES TO THE RISK ASSESSMENT OF AFLATOXINS 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
- Schwerdtle, Tanja
- Vleminckx, Christiane
- Marko, Doris
- Oswald, Isabelle P.
- Piersma, Aldert
- Routledge, Michael
- Schlatter, Josef
- Baert, Katleen
- Gergelova, Petra
- Wallace, Heather
The annexes A to E to the Scientific Opinion on Aflatoxins in Food included in the upload are excel files as follows:
Annex A: Dietary surveys per country and age group available in the EFSA Comprehensive Database, considered in the exposure assessment
Annex B: Occurrence data on aflatoxins
Annex C: Proportion of left-censored data and the mean concentrations of the quantified analytical results of AFB1 for pistachios, hazelnuts, peanuts, other nuts and dried figs
Annex D: AFB1 and AFM1 concentrations reported for organic farming and conventional farming in selected food categories
Annex E: Mean and high chronic dietary exposure to aflatoxins per survey and the contribution of different food groups to the dietary exposure, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/285469
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285469
HANDLE: http://hdl.handle.net/10261/285469
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285469
PMID: http://hdl.handle.net/10261/285469
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285469
Ver en: http://hdl.handle.net/10261/285469
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285469
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
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