Resultados totales (Incluyendo duplicados): 46
Encontrada(s) 5 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367
Dataset. 2022

LONG-TERM MONITORING OF LIZARDS AND GECKOS IN DOÑANA 2005-2021

  • Andreu, Ana C.
  • Arribas, Rosa
  • Román, Isidro
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats Darwing Core. Three files are provided. The first file (Don_liz-gec_event_20221201) contains the information of the project, the institution and the description each event (time of occurrence, geographical coordinates, habitat type, etc…); the second file (Don_liz-gec_occ_20221201) contains the information of the occurrences of species recorded in each transect, taxonomic classification, geographoical coordinates of its observation, etc…; and the third file (Don_liz-gec_mof_20221201) provide information of the description of other variables measured during counts., The monitoring of lizards and geckos’ community in Doñana was initiated in 2005 as part of the monitoring program of natural resources and processes. One of the aims of this project was to obtain a temporal and continuous series of data of the presence and abundance of these species to detect changes and trends in their wild populations within the protected area. Lizard and gecko counts are collected annually by members of the monitoring team three times per year in the periods when reptile activity is high (two samplings in March-June and one sampling in September-October), with good environmental conditions (temperature between 17 and 25 ºC and absence of rain or strong wind conditions). The method used to record the presence and abundance of lizard and gecko species (kilometric index: number of individuals/km) are the transect censuses. Individuals are visually searched along seven transects (linear or circular) that are carried out by one trained person on foot. Each transect have an established length, but the length surveyed is different (averaged 1858 ± 51.86 meters). Each transect is located in dunes or mediterranean vegetation habitats, representative of Doñana ecosystems. Two transects runs through wooden footpaths (within the Natural Park and five transects are placed on sand-trails (4 within the National Park and one in Natural Park which contains a small part of wooden footpath). Linear transects have been surveyed in the outward track direction and after waiting 15 minutes it has been again performed on the way back. This information is valid to account for species presence in the area. However, we suggest to choose the first survey performed for statistical analyses that require independence of samples. Eight species can be potentially observed during the samplings: Mediterranean house gecko (Hemidactylus turcicus), Common Wall Gecko (Tarentola mauritanica), Fringe-fingered Lizard (Acanthodactylus erythrurus), Algerian Psammodromus (Psammodromus algirus), Western Psammodromus (Psammodromus occidentalis), Carbonell's wall lizard (Podarcis carbonelli), Andalusian wall lizard (Podarcis vaucheri), Ocellated lizard (Timon lepidus). Other reptile species present in Doñana have not been included in this study as the detection with this method is very low. For instance, to detect species with a fossorial behaviour (the Mediterranean Worm Lizard Blanus cinereus) or those cryptic as adders (Vipera latastei), it is required larger investment of survey which consist in looking under vegetation, burrows or logs (there are not stones in Doñana). Data recorded during the surveys include weather description (cloud cover, temperature, rain, or wind speed), species identification, number of individuals, sex and life stage of the reptiles when possible, as well as time and georeferenced data of the observation. Between 2005-2007 data was registered in Excel file and since 2008 data is recorded with the app CyberTracker (see protocol). The protocol used has been supervised by herpetological researchers and the data have been validated by the members who performed the transects., 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_liz-gec_event_20221201: eventID, institutionCode, institutionID, datasetName, continent, country, countryCode, Province, Location, Locality, LocalityID, eventDate, eventTime, decimalLatitude, decimalLongitude, decimalLatitudeEnd, decimalLongitudeEnd, verbatimCoordinate_func, verbatimCoordinate, habitat, sampleSizeValue, sampleSizeUnit, samplingEffort, recordedBy, samplingProtocol.-- 2. Don_liz-gec_occ_20221201: RecordedBy, eventID, OccurrenceID, OcurrenceTime, decimalLatitude, decimalLongitude, basisOfRecord, individualCount, lifeStage, sex, OccurrenceRemarks, behavior, kingdom, Class, Family, scientificName, genus, specificEpithet, scientificNameAuthorship, taxonRank.-- 3. Don_liz-gec_mof_20221201: eventID, measurementID, measurementType, measurementValue, measurementUnit, measurementMethod., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/272367, https://doi.org/10.20350/digitalCSIC/14674
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367
HANDLE: http://hdl.handle.net/10261/272367, https://doi.org/10.20350/digitalCSIC/14674
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367
PMID: http://hdl.handle.net/10261/272367, https://doi.org/10.20350/digitalCSIC/14674
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367
Ver en: http://hdl.handle.net/10261/272367, https://doi.org/10.20350/digitalCSIC/14674
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/272367

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280902
Dataset. 2022

ABUNDANCE AND DISTRIBUTION OF MACROINVERTEBRATES AND FISH OF 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 (Meta-data) contains the information of each event (time of occurrence, geographical coordinates, Ecosystem, Sampling mehtod, etc…); the second file (Fish) contains the information of the occurrences of fish species recorded in each station, taxonomic classification, etc…; and the third file (Macroinvertebrates) provide information of the occurrences of macroinvertebrates recorded in each station, taxonomic classification, abundance clases, etc…, The monitoring of the macroinvertebrates and 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 macroinvertebrates and 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 macroinvertebrates and fishes were sampled at the 140 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 66 and 16 families, of macroinvertebrates and fishes respectively. The most abundances were Notonectidae and Corixidae in macroinvertebrates, and Poecilidae and Cyprinidae in fishes. Data recorded during the surveys included species identification, number of individuals, sex and life stage (pupa, larvae, inmature, 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. Metadata: Taxa group, Site ID, Site name, Country, y coordinate, x coordinate, Ecosystem River/lake name, Sampling method, Starting year, Ending year, 1st Name, 1st Mail, 2nd Name, 2nd Mail, 3rd Name, 3rd Mail.-- 2. Fish: Site ID, Sample ID, Sampling date, Taxon name, Taxon ID, Definition of abundance class, Abundance class.-- 3. Macroinvertebrates: Site ID, Sample ID, Sampling date, Taxon name, Taxon ID, 0+, 1+, Adult, All., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/280902, https://doi.org/10.20350/digitalCSIC/14765
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280902
HANDLE: http://hdl.handle.net/10261/280902, https://doi.org/10.20350/digitalCSIC/14765
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280902
PMID: http://hdl.handle.net/10261/280902, https://doi.org/10.20350/digitalCSIC/14765
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280902
Ver en: http://hdl.handle.net/10261/280902, https://doi.org/10.20350/digitalCSIC/14765
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/280902

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282480
Dataset. 2022

LONG-TERM MONITORING OF ROLLER DUNG BEETLES (SCARABAEINAE) (ABUNDANCE AND DISTRIBUTION) IN DOÑANA 2004-2012

  • Paz Sánchez, David Antonio
  • Román, Isidro
  • Andreu, Ana C.
  • López, Diego
  • Ramírez, Luis
  • Márquez-Ferrando, Rocío
  • Díaz-Delgado, Ricardo
  • Bustamante, Javier
Dataset are structured following well-established data formats. Two files are provided. The first file (icts-rbd-dungBe_event_20221107) contains the information of each event (time of occurrence, geographical coordinates, habitat, sampling effort, etc…); the second file (icts-rbd-dungBe_occ_20221107) contains the information of the occurrences of dung-beetles species recorded in each site, numbers of individual recorded and taxonomic classification., The monitoring of the roller dung-beetles (Scarabaeinidae) in Doñana, southwestern Spain, 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 two species (Scarabeus sacer and S. cicatricosus) present in the area. Data were recorded annually from 2004 to 2012 by members of the monitoring team which performed one sampling (between May and August) in different habitats (sand dunes, mediterranean schrublands, flooplain meadows, and marshlands). Dung-baited pitfalls traps were used as a method to obtain samples of individuals of the two species. These traps were plastic cilinder of 30 cm diameter x 20 cm high buried on the ground. A baited grill of 2cm x 2 cm mesh rested on top of the trap. Bait was fresh horse or cow feaces (250 g) collected around the area early in the morning the day before of trapping. Five pitfall traps were established at each site separated 15 m each other during 24 hours. Two checking were conducted every 12 hours after baiting to avoid the mortality of individuals. Individual of each species were counted and release after it. Data recorded during the surveys included species identification and number of individuals. Between 2004-2008 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 2004-2007; 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 (2004-2012)., 1.icts-rbd-dungBeetles_event_20221107: intitutionCode, institutionID, datasetName, eventID, eventDate, eventTime, continent, country, countryCode, stateProvince, locality, decimalLatitude, decimalLongitude, habitat, eventRemarks, sampleSizeValue, sampleSizeUnit, sampleEffort, dynamicPropertiesEvents, recordyBy and scientificName 2.icts-rbd-dungBeetles_occ_20221107: eventID, OccurrenceID, basisOfRecords, individualCount, kingdom, class, family, scientificName, genus, specificEpithet and scientificNameAuthorship., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/282480, https://doi.org/10.20350/digitalCSIC/14775
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282480
HANDLE: http://hdl.handle.net/10261/282480, https://doi.org/10.20350/digitalCSIC/14775
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282480
PMID: http://hdl.handle.net/10261/282480, https://doi.org/10.20350/digitalCSIC/14775
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282480
Ver en: http://hdl.handle.net/10261/282480, https://doi.org/10.20350/digitalCSIC/14775
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282480

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:10261/285773
Dataset. 2022

DATA FROM PATI CIENTIFIC 2022-04-27 TD-5

  • Carrasco, Oriol
  • Bardají, Raúl
  • Vallès Casanova, Ignasi Berenguer
  • Pelegrí, Josep Lluís
  • Hoareau, Nina
  • Salvador, Joaquín
  • Simon, Carine
  • Rodero García, Carlos
  • Piera, Jaume
  • Ortigosa Barragán, Inma
  • Mateu, Jordi
  • Castells-Sanabra, Marcel·la
  • Barberan, Victor
  • González Fernández, Óscar
  • Puigdefàbregas, Joan
  • Yannoukakou, Iphygenia
  • Carretero, Igor
  • Verger, Elisabet
Sea temperature vs depth measured by the Pati Cientific at Somorrostro, Barcelona, on 2022-04-27., BIT Habitat, Barcelona Science Plan 2019, MONOCLE and EMSO - Laboratorios Submarinos Profundo, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285773
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285773
HANDLE: http://hdl.handle.net/10261/285773
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285773
PMID: http://hdl.handle.net/10261/285773
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285773
Ver en: http://hdl.handle.net/10261/285773
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285773

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285779
Dataset. 2022

DATA FROM PATI CIENTIFIC 2022-03-10 TD-3

  • Carrasco, Oriol
  • Bardají, Raúl
  • Vallès Casanova, Ignasi Berenguer
  • Pelegrí, Josep Lluís
  • Hoareau, Nina
  • Salvador, Joaquín
  • Simon, Carine
  • Rodero García, Carlos
  • Piera, Jaume
  • Ortigosa Barragán, Inma
  • Mateu, Jordi
  • Castells-Sanabra, Marcel·la
  • Barberan, Victor
  • González Fernández, Óscar
  • Puigdefàbregas, Joan
  • Yannoukakou, Iphygenia
  • Carretero, Igor
  • Verger, Elisabet
Sea temperature vs depth measured by the Pati Cientific at Somorrostro, Barcelona, on 2022-03-10., BIT Habitat, Barcelona Science Plan 2019, MONOCLE and EMSO - Laboratorios Submarinos Profundo, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285779
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285779
HANDLE: http://hdl.handle.net/10261/285779
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285779
PMID: http://hdl.handle.net/10261/285779
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285779
Ver en: http://hdl.handle.net/10261/285779
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285779

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285816
Dataset. 2022

DATA FROM PATI CIENTIFIC 2022-05-23 TD-3

  • Carrasco, Oriol
  • Bardají, Raúl
  • Vallès Casanova, Ignasi Berenguer
  • Pelegrí, Josep Lluís
  • Hoareau, Nina
  • Salvador, Joaquín
  • Simon, Carine
  • Rodero García, Carlos
  • Piera, Jaume
  • Ortigosa Barragán, Inma
  • Mateu, Jordi
  • Castells-Sanabra, Marcel·la
  • Barberan, Victor
  • González Fernández, Óscar
  • Puigdefàbregas, Joan
  • Yannoukakou, Iphygenia
  • Carretero, Igor
  • Verger, Elisabet
Sea temperature vs depth measured by the Pati Cientific at Somorrostro, Barcelona, on 2022-05-23., BIT Habitat, Barcelona Science Plan 2019, MONOCLE and EMSO - Laboratorios Submarinos Profundo, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285816
HANDLE: http://hdl.handle.net/10261/285816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285816
PMID: http://hdl.handle.net/10261/285816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285816
Ver en: http://hdl.handle.net/10261/285816
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285816

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285821
Dataset. 2022

DATA FROM PATI CIENTIFIC 2022-04-19 TD-5

  • Carrasco, Oriol
  • Bardají, Raúl
  • Vallès Casanova, Ignasi Berenguer
  • Pelegrí, Josep Lluís
  • Hoareau, Nina
  • Salvador, Joaquín
  • Simon, Carine
  • Rodero García, Carlos
  • Piera, Jaume
  • Ortigosa Barragán, Inma
  • Mateu, Jordi
  • Castells-Sanabra, Marcel·la
  • Barberan, Victor
  • González Fernández, Óscar
  • Puigdefàbregas, Joan
  • Yannoukakou, Iphygenia
  • Carretero, Igor
  • Verger, Elisabet
Sea temperature vs depth measured by the Pati Cientific at Somorrostro, Barcelona, on 2022-04-19., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285821
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285821
HANDLE: http://hdl.handle.net/10261/285821
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285821
PMID: http://hdl.handle.net/10261/285821
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285821
Ver en: http://hdl.handle.net/10261/285821
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285821

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285841
Dataset. 2022

DATA FROM PATI CIENTIFIC 2022-01-11 TD-3

  • Carrasco, Oriol
  • Bardají, Raúl
  • Vallès Casanova, Ignasi Berenguer
  • Pelegrí, Josep Lluís
  • Hoareau, Nina
  • Salvador, Joaquín
  • Simon, Carine
  • Rodero García, Carlos
  • Piera, Jaume
  • Ortigosa Barragán, Inma
  • Mateu, Jordi
  • Castells-Sanabra, Marcel·la
  • Barberan, Victor
  • González Fernández, Óscar
  • Puigdefàbregas, Joan
  • Yannoukakou, Iphygenia
  • Carretero, Igor
  • Verger, Elisabet
Sea temperature vs depth measured by the Pati Cientific at Somorrostro, Barcelona, on 2022-01-11., BIT Habitat, Barcelona Science Plan 2019, MONOCLE and EMSO - Laboratorios Submarinos Profundo, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285841
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285841
HANDLE: http://hdl.handle.net/10261/285841
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285841
PMID: http://hdl.handle.net/10261/285841
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285841
Ver en: http://hdl.handle.net/10261/285841
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285841

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