Resultados totales (Incluyendo duplicados): 33532
Encontrada(s) 3354 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278380
Dataset. 2018

DATA FROM: CONTRASTS IN THE MARINE ECOSYSTEM OF TWO MACARONESIAN ISLANDS: A COMPARISON BETWEEN THE REMOTE SELVAGENS RESERVE AND MADEIRA ISLAND

  • Friedlander, Alan M.
  • Ballesteros, Enric
  • Clemente, Sabrina
  • Gonçalves, Emanuel J.
  • Estep, Andrew
  • Rose, Paul
  • Sala, Enric
Selvagens_Madeira_fish_data Collected in the field, Excel, abbreviations in Readme file Selvagens_Madeira_benthic_data collected in the field, Excel, abbreviations in Readme file Selvagens_Madeira_mobile_inverts collected in the field, Excel, abbreviations in Readme file, The islands of Madeira and Selvagens are less than 300 km apart but offer a clear contrast between a densely populated and highly developed island (Madeira), and a largely uninhabited and remote archipelago (Selvagens) within Macaronesia in the eastern Atlantic. The Madeira Archipelago has ~260,000 inhabitants and receives over six million visitor days annually. The Selvagens Islands Reserve is one of the oldest nature reserves in Portugal and comprises two islands and several islets, including the surrounding shelf to a depth of 200 m. Only reserve rangers and a small unit of the maritime police inhabit these islands. The benthic community around Selvagens was dominated by erect and turf algae, while the community at Madeira was comprised of crustose coralline and turf algae, sessile invertebrates, and sea urchin barrens. The sea urchin Diadema africanum was 65% more abundant at Madeira than at Selvagens. Total fish biomass was 3.2 times larger at Selvagens than at Madeira, and biomass of top predators was more than 10 times larger at Selvagens. Several commercially important species (e.g., groupers, jacks), which have been overfished throughout the region, were more common and of larger size at Selvagens than at Madeira. Important sea urchin predators (e.g., hogfishes, triggerfishes) were also in higher abundance at Selvagens compared to Madeira. The effects of fishing and other anthropogenic influences are evident around Madeira. This is in stark contrast to Selvagens, which harbors healthy benthic communities with diverse algal assemblages and high fish biomass, including an abundance of large commercially important species. The clear differences between these two island groups highlights the importance of expanding and strengthening the protection around Selvagens, which harbors one of the last intact marine ecosystems in the North Atlantic, and the need to increase management and protection around Madeira., Peer reviewed

Proyecto: //

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278384
Dataset. 2018

DATA FROM: PRIORITIZING SITES FOR ECOLOGICAL RESTORATION BASED ON ECOSYSTEM SERVICES

  • Comín, Francisco A.
  • Miranda, Beatriz
  • Sorando, Ricardo
  • Felipe-Lucia, María R.
  • Jiménez, Juan J.
  • Navarro, Enrique
Table S4. Average ES values for each LULC type. Average ES values for each LULC type. (See Table S1 for the description of the LULC types and Table S2 for units). Table S4.docx Table S1. Description of Land Use Land Cover (LULC) types identified at the River Piedra watershed. Description of Land Use Land Cover (LULC) types identified at the River Piedra watershed. Table S1.docx Table S2.Ecosystem services assessed, indicators and source of information. Ecosystem services assessed, indicators and source of information. Table S2_ok.docx, 1. Restoration ecology is moving towards designing restoration actions to maximize ecosystem services (ES). Such restoration actions require planning at large spatial scales, as these are often more meaningful for ecosystem functioning and ES supply. As economic resources to undertake ecological restoration at large scales are scarce, prioritizing sites to enhance multiple ES supply is critical. 2. Our study presents an index, the Relative Aggregated Value of ES (RAVES), to prioritize sites for ecological restoration based on the assessment of multiple ES. We tested the spatial heterogeneity of ES to identify the relevant scale to managing ES and to applying the RAVES index using a local case study. We also used the RAVES index to compare three alternative restoration scenarios to enhance ES based on the availability of socio-economic resources. 3. The highest RAVES values were found in areas with natural vegetation and in gorges with riparian forests. The lowest RAVES values were found in crop fields, steep slopes, and river stretches without riparian forest. 4. The multi-scale spatial analysis indicated that most ES showed significant heterogeneity at multiple spatial scales, especially at broad (20–30 km) and very broad (40–50 km) scales. However, at spatial scales smaller than 2 km, only biological control showed significant heterogeneity. 5. The optimal socio-economic conditions to enhance ES supply were met in a scenario where both private and public land and economic funds were available to implement ecological restoration. As most areas with low RAVES were in private lands, even with scarce economic funds restoration of private lands would result in a large increase of RAVES. 6. Synthesis and applications. The RAVES index is a practical tool to hierarchically prioritize sites for ecological restoration across large spatial scales. When linked to scenario analysis, the RAVES index can also be used to identify optimal management scenarios. By linking ES assessments to the identification of the spatial scales at which ES show largest heterogeneity, our analyses can help decision-makers identifying the spatial scale at which ES are more likely to respond to management and highlight the need to integrate local and regional management plans.09-Nov-2017, Peer reviewed

Proyecto: //

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278437
Dataset. 2022

SMOS L3 SURFACE SOIL MOISTURE BINNED MAPS AT 25 KM EASE-2 (V.4.0) [DATASET]

  • Pablos, Miriam
  • González-Haro, Cristina
  • Portal, Gerard
  • Piles, María
  • Vall-llossera, Mercè
  • Portabella, Marcos
Data acquisition: Satellite: ESA SMOS mission (Soil Moisture and Ocean Salinity). Filenames: BEC_SM____SMOS__GLO_L3__X_YYYYMMDDTHHMMSS_025km_TT_____v4.0.nc, being: - X the half-orbit type (A for ascending and D for descending), - YYYYMMDDTHHMMSS the central date (year, month, day, hour, minute and second) in Coordinated Universal Time (UTC) of the period covered by the file, - TT: indicates the temporal coverage of the data file (1d, 3d, 9d, 1m and 1y for daily, 3 days, 9 days, 1 month and 1 year, respectively). Sensor: Satellite SMOS / MIRAS. Spatial resolution: 25 km x 25 km. Spatial grid: WGS_84 / EASE2_M25km, Improvement of the current SMOS soil moisture products produced by the Barcelona Expert Centre (BEC) and development of new added-value products and/or applications over land, INTERACT. Enfoques sinergéticos para una nueva generación de productos y aplicaciones de observación de la Tierra (PID2020-114623RB-C31). Ministerio de Ciencia e Innovación a través de PN2020 - PROY I+D+I – Programa Estatal de I+D+I Orientada a los Retos de la Sociedad – Plan Estatal de Investigación Científica Técnica y de Innovación 2017-2020, · Surface soil moisture (SM) · Data quality index of surface soil moisture (SM_DQX) · Variance of surface soil moisture (SM_VARIANCE) · Number of L2 soil moisture measures (N_SM) · Vegetation optical depth at nadir (VOD) · Data quality index of vegetation optical depth at nadir (VOD_DQX) · Variance of vegetation optical depth at nadir (VOD_VARIANCE) · Number of L2 vegetation optical depth measures (N_VOD) · Time (time) · Latitude (lat) · Longitude (lon) · Coordinate reference system (crs), Peer reviewed

DOI: http://hdl.handle.net/10261/278437, https://doi.org/10.20350/digitalCSIC/14722
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278437
HANDLE: http://hdl.handle.net/10261/278437, https://doi.org/10.20350/digitalCSIC/14722
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278437
PMID: http://hdl.handle.net/10261/278437, https://doi.org/10.20350/digitalCSIC/14722
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278437
Ver en: http://hdl.handle.net/10261/278437, https://doi.org/10.20350/digitalCSIC/14722
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278437

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278455
Dataset. 2022

SMOS L4 SURFACE SOIL MOISTURE DOWNSCALED MAPS AT 1 KM EASE-2 (REPROCESSED MODE) (V.6.0) [DATASET]

  • Pablos, Miriam
  • González-Haro, Cristina
  • Portal, Gerard
  • Piles, María
  • Vall-llossera, Mercè
  • Portabella, Marcos
Data acquisition: Satellite: ESA SMOS mission (Soil Moisture and Ocean Salinity), ECMWF skin temperature at 12 UTC and 16-dayTerra MODIS NDVI collection 6. Filenames: BEC_SM____SMOS__EUM_L4__X_YYYYMMDDTHHMMSS_001km_TT_REP_v6.0.nc, being: - X the half-orbit type (A for ascending and D for descending), - YYYYMMDDTHHMMSS the central date (year, month, day, hour, minute and second) in Coordinated Universal Time (UTC) of the period covered by the file, - TT: indicates the temporal coverage of the data file (1d for daily and 3d for 3 days). Sensor: Satellite SMOS / MIRAS. Spatial resolution: 1 km x 1 km. Spatial grid: WGS_84 / EASE2_M01km, Improvement of the current SMOS soil moisture products produced by the Barcelona Expert Centre (BEC) and development of new added-value products and/or applications over land, INTERACT. Enfoques sinergéticos para una nueva generación de productos y aplicaciones de observación de la Tierra (PID2020-114623RB-C31). Ministerio de Ciencia e Innovación a través de PN2020 - PROY I+D+I – Programa Estatal de I+D+I Orientada a los Retos de la Sociedad – Plan Estatal de Investigación Científica Técnica y de Innovación 2017-2020, · Surface soil moisture (SM) · Quality flag of surface soil moisture (quality_flag) · Number of L4 measures (N) · Time (time) · Latitude (lat) · Longitude (lon) · Coordinate reference system (crs), Peer reviewed

DOI: http://hdl.handle.net/10261/278455, https://doi.org/10.20350/digitalCSIC/14723
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278455
HANDLE: http://hdl.handle.net/10261/278455, https://doi.org/10.20350/digitalCSIC/14723
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278455
PMID: http://hdl.handle.net/10261/278455, https://doi.org/10.20350/digitalCSIC/14723
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278455
Ver en: http://hdl.handle.net/10261/278455, https://doi.org/10.20350/digitalCSIC/14723
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278455

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278464
Dataset. 2022

SMOS L4 SURFACE SOIL MOISTURE DOWNSCALED MAP AT 1 KM EASE-2 (NEAR REAL TIME MODE) (V.6.0) [DATASET]

  • Pablos, Miriam
  • González-Haro, Cristina
  • Portal, Gerard
  • Piles, María
  • Vall-llossera, Mercè
  • Portabella, Marcos
Data acquisition: Satellite: ESA SMOS mission (Soil Moisture and Ocean Salinity), ECMWF skin temperature at 12 UTC and NRT 8-rolling day Terra MODIS NDVI collection 6. Filenames: BEC_SM____SMOS__EUM_L4__X_YYYYMMDDTHHMMSS_001km_TT_NRT_v6.0.nc, being: - X the half-orbit type (A for ascending and D for descending), - YYYYMMDDTHHMMSS the central date (year, month, day, hour, minute and second) in Coordinated Universal Time (UTC) of the period covered by the file, - TT: indicates the temporal coverage of the data file (1d for daily and 3d for 3 days). Sensor: Satellite SMOS / MIRAS. Spatial resolution: 1 km x 1 km. Spatial grid: WGS_84 / EASE2_M01km, Improvement of the current SMOS soil moisture products produced by the Barcelona Expert Centre (BEC) and development of new added-value products and/or applications over land, INTERACT. Enfoques sinergéticos para una nueva generación de productos y aplicaciones de observación de la Tierra (PID2020-114623RB-C31). Ministerio de Ciencia e Innovación a través de PN2020 - PROY I+D+I – Programa Estatal de I+D+I Orientada a los Retos de la Sociedad – Plan Estatal de Investigación Científica Técnica y de Innovación 2017-2020, · Surface soil moisture (SM) · Quality flag of surface soil moisture (quality_flag) · Number of L4 measures (N) · Time (time) · Latitude (lat) · Longitude (lon) · Coordinate reference system (crs), Peer reviewed

DOI: http://hdl.handle.net/10261/278464, https://doi.org/10.20350/digitalCSIC/14724
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278464
HANDLE: http://hdl.handle.net/10261/278464, https://doi.org/10.20350/digitalCSIC/14724
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278464
PMID: http://hdl.handle.net/10261/278464, https://doi.org/10.20350/digitalCSIC/14724
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278464
Ver en: http://hdl.handle.net/10261/278464, https://doi.org/10.20350/digitalCSIC/14724
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278464

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278552
Dataset. 2022

CARBON SYSTEM PARAMETERS AND THERMOHALINE RECORDS FROM AUTONOMOUS MOORED SENSORS DEPLOYED IN MARINE TIME SERIES GIFT (STRAIT OF GIBRALTAR) OVER 2012-2017

  • Huertas, I. Emma
  • Flecha, Susana
  • García-Lafuente, Jesús
SAMIpH_Database_2012_2017.csv provides data for the years 2012 and 2017.DATE_UTC and TIME_UTC are the day and time at which the measurement was taken, in UTC. pHConstSal35 is the pH at a constant salinity of 35. TEMPERATURE and SALINITY are the water temperature (in degrees Celsius) and the water salinity (practical salinity units, i.e., no units) respectively. SAMICO2_Database_2013_2017.txt provides data between the years 2013 and 2017. DATE are the day and time at which the measurement was taken, in UTC and CO2 is the in situ pCO2 value (in uatm) recorded by the SAMI device, The database provides measurements of the carbon system parameters pH and pCO2 obtained with SAMI sensors (Sunburst Sensors, LLC) attached to a mooring line deployed in the Strait of Gibraltar between the years 2012 and 2017. Temperature and salinity data were obtained with a Conductivity-Temperature probe (CT Seabird SBE37-SMP) also installed in the line. Sampling interval was initially set to 60 min, but a battery run off happened in summer 2013 (which caused a six-month data gap) advised changing the interval to 120min to extend the battery life., This research was supported by the COMFORT project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 820989 (project COMFORT, "Our common future ocean in the Earth system – quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points).” Funding was also provided by grant EQC2018-004285-P funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”., Peer reviewed

DOI: http://hdl.handle.net/10261/278552, https://doi.org/10.20350/digitalCSIC/14725
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278552
HANDLE: http://hdl.handle.net/10261/278552, https://doi.org/10.20350/digitalCSIC/14725
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278552
PMID: http://hdl.handle.net/10261/278552, https://doi.org/10.20350/digitalCSIC/14725
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278552
Ver en: http://hdl.handle.net/10261/278552, https://doi.org/10.20350/digitalCSIC/14725
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278552

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278888
Dataset. 2022

SPLICING FUNCTIONAL ASSAYS OF PALB2 SPLICE-SITE VARIANTS REPORTED AT THE CLINVAR DATABASE

  • Valenzuela-Palomo, Alberto
  • Velasco, Eladio
[Method] Splicing functional assays of PALB2 variants by hybrid minigenes. Protocol Workflow: 1) Minigene construction. 2) Site-directed mutagenesis. 3) Cell Transfection. 4) RNA Isolation. 5) RT-PCR. 6) Transcript characterization (Sanger sequencing and fluorescent fragment electrophoresis)., This dataset corresponds to a comprehensive splicing analysis of splice-site variants of exons 1 to 3 of the breast cancer susceptibility gene PALB2. These variants were reported at the ClinVar database. Loss-of-function variants at the PALB2 gene are known to confer risk to breast and ovarian cancers. A total of 31 PALB2 variants at the intron/exon boundaries were analyzed with MaxEntScan. Sixteen variants were selected and genetically engineered into a PALB2 splicing reporter minigene. We found that 12 variants disrupted splicing and six of them could be classified as likely pathogenic. Hence, they are clinically actionable findings so variant-carriers may benefit from tailored prevention protocols and therapies., This work was supported by grants from the Spanish Ministry of Science and Innovation, Plan Nacional de I+D+I 2013-2016, ISCIII (PI20/00225) co-funded by FEDER from Regional Development European Funds (European Union) and from the Consejería de Educación, Junta de Castilla y León, ref. CSI242P18 (actuación cofinanciada P.O. FEDER 2014-2020 de Castilla y León)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/278888, https://doi.org/10.20350/digitalCSIC/14726
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278888
HANDLE: http://hdl.handle.net/10261/278888, https://doi.org/10.20350/digitalCSIC/14726
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278888
PMID: http://hdl.handle.net/10261/278888, https://doi.org/10.20350/digitalCSIC/14726
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278888
Ver en: http://hdl.handle.net/10261/278888, https://doi.org/10.20350/digitalCSIC/14726
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/278888

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279412
Dataset. 2022

VERDI [DATASET]

  • Reñé, Albert
  • Timoneda Solé, Natàlia
  • Sarno, Diana
  • Zingone, Adriana
  • Margiotta, Francesca
  • Passarelli, Augusto
  • Gallia, Roberto
  • Tramontano, Ferdinando
  • Montresor, Marina
  • Garcés, Esther
File1: VERDI_samples_parameters.xlsx - Physico-chemical variables obtained from CTD profile - Inorganic nutrients concentrations - Chlorophyll-a concentrations - Organic carbon and nitrogen concentrations - Phytoplankton abundances - Detections of chytrids File 2: VERDI_asv_table.tbl: ASV abundances from natural samples and incubations File 3: VERDI_tax_table.tbl: Taxonomic assignments of ASVs File 4: VERDI_asv_seqs.fa: Sequences of ASVs File 5: VERDI_incubations_images.zip - Compilation of images taken during incubations with diatoms, The presence of phytoplankton parasites along the water column was explored at the Long Term Ecological Station MareChiara (LTER-MC) in the Gulf of Naples (Mediterranean Sea) in October 2019. Microscopy analyses showed diatoms dominating the phytoplankton community in the upper layers (0-20 m). Metabarcoding data from the water column showed the presence of Chytridiomycota predominantly in the upper layers coinciding with the vertical distribution of diatoms. Laboratory incubations of natural samples enriched with different diatom cultures confirmed parasitic interactions of some of those chytrids – including members of Kappamyces – with diatom taxa. The temporal dynamics of diatoms and chytrids was also explored in a three-year metabarcoding time-series (2011-2013) from surface waters of the study area and in sediment samples. Chytrids were recurrently present at low relative abundances, and some taxa found to infect diatoms in the incubation experiments were also identified in the ASV time-series. However, co-occurrence analyses did not show any clear or recurrent pairing patterns for chytrid and diatom taxa along the three years. The chytrid community in the sediments showed a clearly different species composition compared to the recorded in the water column samples, with higher diversity and relative abundance. The combination of observations, incubations and metabarcoding confirmed that parasites are a common component of marine protist communities at LTER-MC. Host-parasite interactions must be determined and quantified to understand their role and the impact they have on phytoplankton dynamics, - European Union’s Horizon 2020 research and innovation programme under grant agreement No 730984, ASSEMBLE Plus project. - Spanish MICINN Project SMART (PID2020-112978GB-I00) - The research program LTER-MC is funded by the Stazione Zoologica Anton Dohrn, - Physico-chemical variables obtained from CTD profile - Inorganic nutrients concentrations - Chlorophyll-a concentrations - Organic carbon and nitrogen concentrations - Phytoplankton abundances - Detections of chytrids - Metabarcoding ASV abundances from natural samples and incubations - Metabarcoding Taxonomic assignments of ASVs - Metabarcoding Sequences of ASVs - Compilation of images taken during incubations with diatoms, Peer reviewed

DOI: http://hdl.handle.net/10261/279412, https://doi.org/10.20350/digitalCSIC/14744
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279412
HANDLE: http://hdl.handle.net/10261/279412, https://doi.org/10.20350/digitalCSIC/14744
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279412
PMID: http://hdl.handle.net/10261/279412, https://doi.org/10.20350/digitalCSIC/14744
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279412
Ver en: http://hdl.handle.net/10261/279412, https://doi.org/10.20350/digitalCSIC/14744
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279412

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279459
Dataset. 2022

IGF-1 CONTROLS METABOLIC HOMEOSTASIS AND SURVIVAL IN HEI-OC1 AUDITORY CELLS THROUGH AKT AND MTOR SIGNALING [DATASET]

  • García-Mato, Ángela
  • Cervantes, Blanca
  • Rodriguez-de la Rosa, Lourdes
  • Varela-Nieto, Isabel
Table of contents: zip file containing 7 folders: Figure 2 folder [Figure 2_Blots Report.pdf; Figure_2C_qPCR.xlsx; Figure_2D_qPCR.xlsx; Figure_2E&G_Data&Analysis.xlsx; Figure_2F_Data&Analysis.xlsx] Figure 3 folder [Figure 3_Blots Report.pdf; Figure_3B_Data&Analysis.xlsx; Figure_3C_Data&Analysis.xlsx] Figure 4 folder [Figure 4_Blots Report.pdf;Figure_4A_Data&Analysis.xlsx; Figure_4B_Data&Analysis.xlsx; Figure_4C&D_Data&Analysis.xlsx] Figure 5 folder [Figure 5_Blots Report.pdf; Figure_5A_Data&Analysis.xlsx; Figure_5B_Data&Analysis.xlsx; Figure_5C-D_Data&Analysis.xlsx; Figure_5E-F_Data&Analysis.xlsx] Figure 6 folder [Figure 6_Blots Report.pdf; Figure_6B_Data&Analysis.xlsx; Figure_6C_Data&Analysis.xlsx; Figure_6D_Data&Analysis.xlsx] Figure 7 folder [Figure 7_Blots Report.pdf; Figure_7B_Oxyblot_Data&Analysis.xlsx; Figure_7B_qPCR_Data&Analysis.xlsx; Figure_7B_WesternBlotting_Data&Analysis.xlsx; Figure_7C_Data&Analysis.xlsx; Figure_7D_Data&Analysis.xlsx; Figure_7E_Data&Analysis.xlsx] Supplementary Material folder [Figure_S2_Data&Analysis.xlsx], MCIN/AEI/10.13039/ 501100011033 THEARPY-PID2020-115274RB-I00; 0551_PSL_6_E POCTEP FGCSIC/ PSL-INTERREG/FEDER NITROPROHEAR, Peer reviewed

DOI: http://hdl.handle.net/10261/279459, https://doi.org/10.20350/digitalCSIC/14745
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279459
HANDLE: http://hdl.handle.net/10261/279459, https://doi.org/10.20350/digitalCSIC/14745
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279459
PMID: http://hdl.handle.net/10261/279459, https://doi.org/10.20350/digitalCSIC/14745
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279459
Ver en: http://hdl.handle.net/10261/279459, https://doi.org/10.20350/digitalCSIC/14745
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279459

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279674
Dataset. 2022

DATA USED IN “MICROBIAL INFECTION RISK PREDICTS ANTIMICROBIAL POTENTIAL OF AVIAN SYMBIONTS

  • Martínez-Renau, Ester
  • Mazorra Alonso, Mónica
  • Ruiz-Castellano, Cristina
  • Martín-Vivaldi, Manuel
  • Martín-Platero, Antonio M.
  • Barón, M. Dolores
  • Soler, Juan José
Data file includes information about identity of each sampled individual, the species id, nest type, age, biometric measurements, the mean of the antagonistic halos shown against each 9 indicator bacteria, the antagonistic activity (average values of the width of antagonistic halos (mm) when tested against each of the nine indicator bacteria), the antagonistic range (Shannon index of the antagonistic activity) and the total density of bacteria on the gland., Ester Martínez Renau was financed by a predoctoral contract PRE2018-085378) while the whole research group received funds from the projects CGL2017-83103-P, PID2020-117429GB-C21 and PID2020-117429GB-C22, funded by the Ministerio de Ciencia e Innovación/Agencia Estatal de Investigación/10.13039/501100011033 and by “Fondo Europeo de Desarrollo Regional, a way of making Europe, Peer reviewed

DOI: http://hdl.handle.net/10261/279674, https://doi.org/10.20350/digitalCSIC/14748
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279674
HANDLE: http://hdl.handle.net/10261/279674, https://doi.org/10.20350/digitalCSIC/14748
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279674
PMID: http://hdl.handle.net/10261/279674, https://doi.org/10.20350/digitalCSIC/14748
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279674
Ver en: http://hdl.handle.net/10261/279674, https://doi.org/10.20350/digitalCSIC/14748
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/279674

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