Resultados totales (Incluyendo duplicados): 44
Encontrada(s) 5 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305242
Dataset. 2022

GLOBALSHARKMOVEMENT / GLOBALCOLLISIONRISK

  • Womersley, Freya C.
  • Humphries, Nicolas E.
  • Queiroz, Nuno
  • Vedor, Marisa
  • Costa, Ivo da
  • Furtado, Miguel
  • Tyminski, John P.
  • Abrantes, Katya
  • Araujo, Gonzalo
  • Bach, Steffen S.
  • Barnett, Adam
  • Berumen, Michael L.
  • Bessudo Lion, Sandra
  • Braun, Camrin D.
  • Clingham, Elizabeth
  • Cochran, Jesse E. M.
  • Parra, Rafael de la
  • Diamant, Stella
  • Dove, Alistair D. M.
  • Dudgeon, Christine L.
  • Erdmann, Mark V.
  • Espinoza, Eduardo
  • Fitzpatrick, Richard
  • González Cano , Jaime
  • Green, Jonathan R.
  • Guzman, Hector M.
  • Hardenstine, Royale
  • Hasan, Abdi
  • Hazin, Fábio H. V.
  • Hearn, Alex R.
  • Hueter, Robert E.
  • Jaidah, Mohammed Y.
  • Labaja, Jessica
  • Ladino, Felipe
  • Macena, Bruno C. L.
  • Morris, John J.
  • Norman, Bradley M.
  • Peñaherrera-Palma, Cesar
  • Pierce, Simon J.
  • Quintero, Lina M.
  • Ramírez-Macías, Dení
  • Reynolds, Samantha D.
  • Richardson, Anthony J.
  • Robinson, David P.
  • Rohner, Christoph A.
  • Rowat, David R. L.
  • Sheaves, Marcus
  • Shivji, Mahmood S.
  • Sianipar, Abraham B.
  • Skomal, Gregory B.
  • Soler, German
  • Syakurachman, Ismail
  • Thorrold, Simon R.
  • Webb, D. Harry
  • Wetherbee, Bradley M.
  • White, Timothy D.
  • Clavelle, Tyler
  • Kroodsma, David A.
  • Thums, Michele
  • Ferreira, Luciana C.
  • Meekan, Mark G.
  • Arrowsmith, Lucy M.
  • Lester, Emily K.
  • Meyers, Megan M.
  • Peel, Lauren R.
  • Sequeira, Ana M. M.
  • Eguíluz, Víctor M.
  • Duarte, Carlos M.
  • Sims, David W.
Repository containing derived data for the manuscript 'Global collision-risk hotspots of marine traffic and the world's largest fish, the whale shark'., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/305242, https://github.com/GlobalSharkMovement/GlobalCollisionRisk
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305242
HANDLE: http://hdl.handle.net/10261/305242, https://github.com/GlobalSharkMovement/GlobalCollisionRisk
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305242
PMID: http://hdl.handle.net/10261/305242, https://github.com/GlobalSharkMovement/GlobalCollisionRisk
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305242
Ver en: http://hdl.handle.net/10261/305242, https://github.com/GlobalSharkMovement/GlobalCollisionRisk
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/305242

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310828
Dataset. 2019

COMMON PHOTOSINTHETIC ENZYMES FROM 174 METAGENOMES FROM THE MALASPINA EXPEDITION 2010 (ORTEGA ET AL. 2019)

  • Sánchez, Pablo
  • Sebastián, Marta
  • Salazar, Guillem
  • Cornejo-Castillo, Francisco M.
  • Massana, Ramon
  • Duarte, Carlos M.
  • Acinas, Silvia G.
  • Gasol, Josep M.
Predicted genes corresponding to the four most common enzymes present in photosynthetic organisms: NADH:ubiquinone reductase (H+-translocating), N-acetyl-gamma-glutamyl-phosphate reductase, DNA-directed RNA polymerase and non-specific serine/threonine protein kinase of 174 metagenomes sequenced during the Malaspina 2010 global expedition., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/310828
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310828
HANDLE: http://hdl.handle.net/10261/310828
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310828
PMID: http://hdl.handle.net/10261/310828
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310828
Ver en: http://hdl.handle.net/10261/310828
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/310828

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328251
Dataset. 2022

MALASPINA 2010 OPTICAL DATA: ACDOM_APARTICLES_KD_Z10%

  • Overmans, S.
  • Duarte, Carlos M.
  • Sobrino, Cristina
  • Iuculano, Francesca
  • Álvarez-Salgado, Xosé Anton
  • Agustí, Susana
The dataset is comprised of: downwelling diffuse attenuation coefficients, Z10%, aCDOM and ap., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/328251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328251
HANDLE: http://hdl.handle.net/10261/328251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328251
PMID: http://hdl.handle.net/10261/328251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328251
Ver en: http://hdl.handle.net/10261/328251
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328251

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328261
Dataset. 2022

MALASPINA 2010 OPTICAL DATA: ACDOM_APARTICLES_KD_Z10%

  • Overmans, S.
  • Duarte, Carlos M.
  • Sobrino, Cristina
  • Iuculano, Francesca
  • Álvarez-Salgado, Xosé Anton
  • Agustí, Susana
The dataset is comprised of: downwelling diffuse attenuation coefficients, Z10%, aCDOM and ap, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/328261
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328261
HANDLE: http://hdl.handle.net/10261/328261
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328261
PMID: http://hdl.handle.net/10261/328261
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328261
Ver en: http://hdl.handle.net/10261/328261
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/328261

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329403
Dataset. 2022

SUPPORTING INFORMATION FOR PENETRATION OF ULTRAVIOLET-B RADIATION IN OLIGOTROPHIC REGIONS OF THE OCEANS DURING THE MALASPINA 2010 EXPEDITION

  • Overmans, S.
  • Duarte, Carlos M.
  • Sobrino, Cristina
  • Iuculano, Francesca
  • Álvarez-Salgado, Xosé Anton
  • Agustí, Susana
Contents of this file: Figures S1 to S8 and Table S1. -- Figure S1. CDOM absorption coefficients (aCDOM, in m-1) at UV-B wavelengths 305 nm (top panel), 313 nm (middle panel), and 320 nm (bottom panel) measured during the Malaspina 2010 Expedition. Reported values are depth-weighted averages from surface waters (3 m depth) down to the 20% PAR depth. -- Figure S2. Results of the Dunn’s tests, that were performed after Kruskal-Wallis tests to identify if aCDOM (top row), ap (middle row) and ap as % of anw (bottom row) at 305 nm (left column), 313 nm (middle column) and 320 nm (right column) varied significantly (p<0.05) between Longhurst provinces during the Malaspina 2010 Expedition. For a description of the Longhurst province codes, see Fig. 1. -- Figure S3. Particulate absorption coefficients (ap, in m-1) at UV-B wavelengths 305 nm (top panel), 313 nm (middle panel), and 320 nm (bottom panel) measured during the Malaspina Expedition. Reported values are depth-weighted averages from surface waters (3 m depth) down to the 20% PAR depth. -- Figure S4. Downwelling diffuse attenuation coefficients (Kd, in m-1) for the UV-B wavelengths 305 nm (top panel), 313 nm (middle panel), and 320 nm (bottom panel) measured during the Malaspina 2010 Circumnavigation. -- Figure S5. Downwelling diffuse attenuation coefficients (Kd, in m-1) for the UV-A wavelengths 340 nm (top panel), 380 nm (middle panel), and 395 nm (bottom panel) measured during the Malaspina 2010 Expedition. -- Figure S6. Downwelling diffuse attenuation coefficients (Kd, in m-1) for the integrated PAR spectrum (400–700 nm) measured during the Malaspina 2010 Expedition. -- Figure S7. Results of the Dunn’s tests, that were performed after Kruskal-Wallis tests to identify if the downwelling diffuse attenuation coefficient (Kd) at 305, 313, 320, 340 nm varied significantly (p <0.05) between Longhurst provinces during the Malaspina 2010 Expedition. For a description of the Longhurst provinces code, see Fig. 1. -- Figure S8. Seasonal comparison between cloud fractions in the northern and southern tropics (15.5N to 15.5S) in year 2010. Bars represent monthly averages (mean  SD) of 1 x 1 sector squares between 179.5W and 179.5E (n=5760 per bar). Data were obtained from the publicly available Aqua/MODIS satellite data set curated by NASA’s Earth Observatory (https://earthobservatory.nasa.gov/global-maps/MODAL2_M_CLD_FR). WIN, SPR, SUM and AUT refer to winter, spring, summer and autumn, respectively. WIN1 represents December for the northern latitudes and June for the southern latitudes. Asterisks indicate instances where the non-paired t-test identified significantly different means at level p <0.01. -- Table S1. Slope, correlation, 95% confidence intervals and p-values determined as part of the pairwise correlation analysis with the variables sea surface temperature, Chl-a and Kd(PAR), as well as aCDOM, ap and Kd(λ) at wavelengths 305, 313 and 320 nm. For Chl-a, aCDOM and ap, depth-weighted (3 m to 20% PAR depth) average values were used for the analysis., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329403
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329403
HANDLE: http://hdl.handle.net/10261/329403
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329403
PMID: http://hdl.handle.net/10261/329403
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329403
Ver en: http://hdl.handle.net/10261/329403
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329403

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329827
Dataset. 2022

DATASHEET_1_SEAGRASS THERMAL LIMITS AND VULNERABILITY TO FUTURE WARMING.PDF

  • Marbà, Núria
  • Jordá, Gabriel
  • Bennett, Scott
  • Duarte, Carlos M.
6 pages. -- Supplementary Figure 1. Current mean maximum summer temperature (average 𝑇!"# """""" for the period 1980-2005) across potential seagrass distribution. -- Supplementary Figure 2. Difference between current mean maximum summer temperature ( 𝑇!"# """""" ) and the Tlimit as a function of latitude. Negative and positive latitude values for southern and northern hemispheres, respectively. -- Supplementary Figure 3. Uncertainty associated to the time (in years) for mean maximum summer temperature to reach seagrass upper thermal limit (Tlim) at the warming rates projected under the RCP8.5 scenario around potential seagrass sites. -- Supplementary Figure 4. Time (in years) for mean maximum summer temperature to reach the upper thermal limits (Tlim) of temperate and tropical affinity seagrass flora at the warming rates projected under the RCP8.5 scenario around potential seagrass sites in the Mediterranean Sea and Queensland (Australia) coastal areas. -- Supplementary Figure 5. The time (in years) to reach Tlimit at the warming rates predicted under the RCP4.5 scenario around potential seagrass sites. -- Supplementary Figure 6. Time (in years) for mean maximum summer temperature to reach the upper thermal limits (Tlim) of temperate and tropical affinity seagrass flora at the warming rates projected under the RCP4.5 scenario around potential seagrass sites in the Mediterranean Sea and Queensland (Australia) coastal areas., Seagrasses have experienced major losses globally mostly attributed to human impacts. Recently they are also associated with marine heat waves. The paucity of information on seagrass mortality thermal thresholds prevents the assessment of the risk of seagrass loss under marine heat waves. We conducted a synthesis of reported empirically- or experimentally-determined seagrass upper thermal limits (Tlimit) and tested the hypothesis that they increase with increasing local annual temperature. We found that Tlimit increases 0.42± 0.07°C per°C increase in in situ annual temperature (R2 = 0.52). By combining modelled seagrass Tlimit across global coastal areas with current and projected thermal regimes derived from an ocean reanalysis and global climate models (GCMs), we assessed the proximity of extant seagrass meadows to their Tlimit and the time required for Tlimit to be met under high (RCP8.5) and moderate (RCP4.5) emission scenarios of greenhouse gases. Seagrass meadows worldwide showed a modal difference of 5°C between present Tmax and seagrass Tlimit. This difference was lower than 3°C at the southern Red Sea, the Arabian Gulf, the Gulf of Mexico, revealing these are the areas most in risk of warming-derived seagrass die-off, and up to 24°C at high latitude regions. Seagrasses could meet their Tlimit regularly in summer within 50-60 years or 100 years under, respectively, RCP8.5 or RCP4.5 scenarios for the areas most at risk, to more than 200 years for the Arctic under both scenarios. This study shows that implementation of the goals under the Paris Agreement would safeguard much of global seagrass from heat-derived mass mortality and identifies regions where actions to remove local anthropogenic stresses would be particularly relevant to meet the Target 10 of the Aichi Targets of the Convention of the Biological Diversity., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/329827
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329827
HANDLE: http://hdl.handle.net/10261/329827
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329827
PMID: http://hdl.handle.net/10261/329827
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329827
Ver en: http://hdl.handle.net/10261/329827
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/329827

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338829
Dataset. 2023

SUPPORTING INFORMATION FOR SELF-ORGANIZED SULFIDE-DRIVEN TRAVELING PULSES SHAPE SEAGRASS MEADOWS

  • Ruiz-Reynés, Daniel
  • Mayol, Elvira
  • Sintes, Tomàs
  • Hendriks, Iris E.
  • Hernández-García, Emilio
  • Duarte, Carlos M.
  • Marbà, Núria
  • Gomila, Damià
13 pages. -- The PDF file includes: Supporting text. -- Figs. S1 to S1. -- Legends for Movies S1 to S4., Self_organized_appendix.pdf, pnas.2216024120.sm01.mp4, pnas.2216024120.sm02.mp4, pnas.2216024120.sm03.mp4, pnas.2216024120.sm04.mp4, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/338829
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338829
HANDLE: http://hdl.handle.net/10261/338829
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338829
PMID: http://hdl.handle.net/10261/338829
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338829
Ver en: http://hdl.handle.net/10261/338829
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/338829

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/345389
Dataset. 2010

FLUORIMETRIC CHLOROPHYLL OF THE EXPEDITION MALASPINA 2010 (MALASPINA2010_CHLOROPHYLL.XLS) [DATASET]

  • Estrada, Marta
  • Latasa, Mikel
  • Cabello, Ana María
  • Mozetič, Patricija
  • Rial, Pilar
  • Rodríguez Hernández, Francisco José
  • Agustí, Susana
  • Duarte, Carlos M.
Open access. Please, contact corresponding author in case of doubts, Description: The Malaspina2010_chlorophyll.xlsx file contains the fluorimetric chlorophyll a data of the circunnavigation expedition Malaspina 2010, which took place between 14/12/2010 and 14/07/2011 on board the BIO Hespérides. The data presented here were obtained between 16/12/2010 and 11/07/2011. The date and position of the sampling stations are listed in the third sheet of the file. Methods: Water samples for fluorimetric chlorophyll a (Chl a) determination were collected from 3 m depth with a 30-liter Niskin bottle and from selected depths between 10 and 200 m with a Rosette of 24 10-liter Niskin bottles attached to a CTD probe. Chl a determination was carried out as described in Estrada et al. (2012). Briefly, between 200 and 500 cm3 of seawater were filtered through GF/F glass fiber filters that were subsequently frozen at -20°C and, after a minimum of 6 hours, introduced in vials with acetone 90% and left for 24 hours in the dark, at 4ºC. The Chl a concentration in the acetonic extracts was measured with a Turner Designs fluorimeter calibrated with a pure Chl a standard (Sigma-Aldrich); no phaeopigment correction was applied. Size-fractionated analyses of Chl a were performed for samples from surface, the 20% surface PAR and the deep chlorophyll maximum. The analyses were carried out by sequential filtration of a 500 cm3 of seawater through Poretics (polycarbonate) membrane filters of pore sizes 20 μm, 2 μm and 0.2 μm, which were subsequently treated as the GF/F ones (Estrada, 2012), This work was supported by Consolider-Ingenio 2010, CSD2008-00077 of the former Spanish Ministerio de Ciencia e Innovación (ES) (now www.ciencia.gob.es) and the Consejo Superior de Investigaciones Científicas (CSIC) (ES)., Authors; Methods; Station positions; leg 1; leg 2; Legs 3-4; leg 5; leg 6; leg 7; References, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/345389
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/345389
HANDLE: http://hdl.handle.net/10261/345389
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/345389
PMID: http://hdl.handle.net/10261/345389
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/345389
Ver en: http://hdl.handle.net/10261/345389
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/345389

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/347195
Dataset. 2010

INORGANIC NUTRIENT CONCENTRATIONS OF THE EXPEDITION MALASPINA 2010 (MALASPINA_2010_NUTRIENTS.XLSX) [DATASET]

  • Blasco, Dolors
  • Fuente Gamero, Patricia de la
  • Guallar, Carles
  • Riera-Lorente, Max
  • Teixidor-Toneu, Irene
  • Agustí, Susana
  • Duarte, Carlos M.
  • Vidal, Montserrat
Description: The Malaspina2010_chlorophyll.xlsx file contains the inorganic nutrient concentration data of the circunnavigation expedition Malaspina 2010, which took place between 14/12/2010 and 14/07/2011 on board the BIO Hespérides. The date and position of the sampling stations are listed in the “Data” sheet of the file. Methods: Water samples for measurement of the concentration of nitrate, nitrite (nitrate + nitrite in leg 1), phosphate and silicate were collected from 3 m depth with a 30-liter Niskin bottle and from selected depths between 10 and 200 m with a Rosette of 24 10-liter Niskin bottles attached to a CTD probe. Inorganic nutrient concentrations were determined by means of a Skalar autoanalyzer, following the standard spectrophotometric procedures described in Grasshoff et al. (1999) and Blasco et al. (2012); in leg 1, nitrite was not determined separately and phosphate was measured using a manual method (Vidal et al. 2012), This work was supported by Consolider-Ingenio 2010, CSD2008-00077 of the former Spanish Ministerio de Ciencia e Innovación (ES) (now www.ciencia.gob.es) and the Consejo Superior de Investigaciones Científicas (CSIC) (ES), Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/347195
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/347195
HANDLE: http://hdl.handle.net/10261/347195
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/347195
PMID: http://hdl.handle.net/10261/347195
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/347195
Ver en: http://hdl.handle.net/10261/347195
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/347195

CORA.Repositori de Dades de Recerca
doi:10.34810/data662
Dataset. 2023

MME-T-MEDNET: MASS MORTALITY EVENTS IN MEDITERRANEAN MARINE COASTAL ECOSYSTEMS

  • Garrabou, Joaquim
  • Gómez Gras, Daniel
  • Ledoux, Jean-Baptiste
  • Linares, Cristina
  • Bensoussan, Nathaniel
  • López Sendino, Paula
  • Bazairi, Hocein
  • Espinosa, Free
  • Ramdani, Mohamed
  • Grimes, Samir
  • Benabdi, Mouloud
  • Ben Souissi, Jamila
  • Soufi-Kechaou, Emna
  • Khamassi, Faten
  • Ghanem, Raouia
  • Ocaña, Oscar
  • Ramos Esplà, Alfonso
  • Izquierdo, Andrés
  • Antón, Irene
  • Rubio Portillo, Esther
  • Barberá, Carmen
  • Cebrian Pujol, Emma
  • Marbà, Nuria
  • Hendriks, Iris E.
  • Duarte, Carlos M.
  • Deudero, Salud
  • Díaz, David
  • Vázquez Luis, Maite
  • Álvarez, Elvira
  • Hereu Fina, Bernat
  • Kersting, Diego K.
  • Gori, Andrea
  • Viladrich Canudas, Núria
  • Sartoretto, Stephane
  • Pairaud, Ivane
  • Ruitton, Sandrine
  • Pergent, Gérard
  • Pergent-Martini, Christine
  • Rouanet, Elodie
  • Teixidó, Núria
  • Gattuso, Jean-Pierre
  • Fraschetti, Simonetta
  • Rivetti, Irene
  • Azzurro, Ernesto
  • Cerrano, Carlo
  • Ponti, Massimo
  • Turicchia, Eva
  • Bavestrello, Giorgio
  • Cattaneo-Vietti, Riccardo
  • Bo, Marzia
  • Bertolino, Marco
  • Montefalcone, Monica
  • Chimienti, Giovanni
  • Grech, Daniele
  • Rilov, Gil
  • Tuney Kizilkaya, Inci
  • Kizilkaya, Zafer
  • Eda Topçu, Nur
  • Gerovasileiou, Vasilis
  • Sini, Maria
  • Bakran-Petricioli, Tatjana
  • Kipson, Silvija
  • Harmelin, Jean G.

The Mass Mortality Events (MME-T-MEDNet) dataset compiles information reported on mass mortality events of species in the Mediterranean Sea affecting different organism dwelling in coastal ecosystems.

The data compiled in the MME-T-MEDNet dataset was gathered from published scientific papers, grey literature and technical reports using different searching strategies in ISI Web of Knowledge and Google Scholar using different sets of keywords (including those used in Rivetti et al. 2014 and Marba et al. 2015) as well as through contacts with researchers across the Mediterranean. The dataset comprises mass mortality events impacts observed at discrete events generally related to warming episodes across the Mediterranean. The dataset provides information about the year, season, geographic coordinates, protection status of the geographic location, species phylum, species name, the degree of mortality impact, depth range of the mortality and reported biotic and abiotic mortality drivers of the event.


Proyecto: //
DOI: https://doi.org/10.34810/data662
CORA.Repositori de Dades de Recerca
doi:10.34810/data662
HANDLE: https://doi.org/10.34810/data662
CORA.Repositori de Dades de Recerca
doi:10.34810/data662
PMID: https://doi.org/10.34810/data662
CORA.Repositori de Dades de Recerca
doi:10.34810/data662
Ver en: https://doi.org/10.34810/data662
CORA.Repositori de Dades de Recerca
doi:10.34810/data662

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