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  • PANGAEA  (718)
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Keywords
  • 1
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    Unknown
    PANGAEA
    In:  Faculty of Marine Sciences, University of Las Palmas, Gran Canaria | Supplement to: Gonzalez Davila, Melchor; Santana-Casiano, Juana Magdalena; Llinás, Octavio; González-Dávila, Enrique-Francisco (2003): Seasonal and interanual variability of sea-surface carbon dioxide species at the European Station for Time Series in the Ocean at the Canary Island (ESTOC) between 1996-2000. Global Biogeochemical Cycles, 17(3), 1076, https://doi.org/10.1029/2002GB001993
    Publication Date: 2023-03-21
    Description: Seasonal patterns in hydrography, partial pressure of CO2, fCO2, pHt, total alkalinity, AT, total dissolved inorganic carbon, CT, nutrients, and chlorophyll a were measured in surface waters on monthly cruises at the European Station for Time Series in the Ocean at the Canary Islands (ESTOC) located in the northeast Atlantic subtropical gyre. With over 5 years of oceanographic data starting in 1996, seasonal and interannual trends of CO2 species and air-sea exchange of CO2 were determined. Net CO2 fluxes show this area acts as a minor source of CO2, with an average outgassing value of 179 mmol CO2/m**2 yr controlled by the dominant trade winds blowing from May to August. The effect of short-term wind variability on the CO2 flux has been addressed by increasing air-sea fluxes by 63% for 6-hourly sampling frequency. The processes governing the monthly variations of CT have been determined. From March to October, when CT decreases, mixing at the base of the mixed layer (11.5 ± 1.5 mmol/m**3) is compensated by air-sea exchange, and a net organic production of 25.5 ± 5.7 mmol/m**3 is estimated. On an annual scale, biological drawdown accounts for the decrease in inorganic carbon from March to October, while mixing processes control the CT increase from October to the end of autumn. After removing seasonality variability, fCO2sw increases at a rate of 0.71 ± 5.1 µatm/yr, and as a response to the atmospheric trend, inorganic carbon increases at a rate of 0.39 ± 1.6 µmol/kg yr.
    Keywords: Alkalinity, potentiometric; Alkalinity, total; Calculated; Canary Islands; DATE/TIME; Density, mass density; DEPTH, water; ESTOC; ESTOC_TTrap_001; European Station for Time-Series in the Ocean Canary Islands; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Infrared CO2/H2O gas analyzer, non-dispersive, LI-COR type LI-6262; MOOR; Mooring; pH; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
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  • 2
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    PANGAEA
    In:  Supplement to: Krüger, Lucas; Ramos, Jaime Albino; Xavier, José Caetano; Grémillet, David; González-Solís, Jacob; Kolbeinsson, Yann; Militão, Teresa; Navarro, Joan; Petry, Maria Virginia; Phillips, Richard A; Ramírez, Iván; Reyes-González, José Manuel; Ryan, Peter G; Sigurdsson, Ian A; Van Sebille, Erik; Wanless, Ross M; Paiva, Vitor Hugo Rodrigues (2017): Identification of candidate pelagic marine protected areas through a seabird seasonal-, multispecific- and extinction risk-based approach. Animal Conservation, 20(5), 409-424, https://doi.org/10.1111/acv.12339
    Publication Date: 2023-01-13
    Description: With increasing pressure on the oceans from environmental change, there has been a global call for improved protection of marine ecosystems through the implementation of marine protected areas (MPAs). Here, we used species distribution modelling (SDM) of tracking data from 14 seabird species to identify key marine areas in the southwest Atlantic Ocean, valuing areas based on seabird species occurrence, seasonality and extinction risk. We also compared overlaps between the outputs generated by the SDM and layers representing important human threats (fishing intensity, ship density, plastic and oil pollution, ocean acidification), and calculated loss in conservation value using fishing and ship density as cost layers. The key marine areas were located on the southern Patagonian Shelf, overlapping extensively with areas of high fishing activity, and did not change seasonally, while seasonal areas were located off south and southeast Brazil and overlapped with areas of high plastic pollution and ocean acidification. Non-seasonal key areas were located off northeast Brazil on an area of high biodiversity, and with relatively low human impacts. We found support for the use of seasonal areas depending on the seabird assemblage used, because there was a loss in conservation value for the seasonal compared to the non-seasonal approach when using 'cost' layers. Our approach, accounting for seasonal changes in seabird assemblages and their risk of extinction, identified additional candidate areas for incorporation in the network of pelagic MPAs.
    Type: Dataset
    Format: application/zip, 2 MBytes
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  • 3
    Publication Date: 2024-01-10
    Description: The BENFEP_v1 database contains georeferenced quantitative data of benthic foraminifera species from the Eastern Pacific surface sediments collated from 50 published and unpublished datasets. We consider one data as quantitative when the species abundance in an assemblage is provided as number of individuals (counts), relative abundance (percent) or density (number of individuals per volume unit). The taxonomy of benthic foraminiferal species is harmonized using the World Foraminifera Database (Hayward et al., 2022, last accessed on 22-12-08). Census data are provided in their original form and including with coded metadata (e.g., sampling devices, interval, type of assemblage, size fraction) to facilitate data analysis using different software. BENFEP_v1 is presented in short and in long format. In BENFEP_v1_short, foraminiferal entities (valid species or species identified to genus level) are provided as columns whereas in BENFEP_v1_long, foraminiferal entities are indicated in a single column. The long format integrates the taxonomic information extracted from WoRMS as well as the original authors' species designations which are provided in the related manuscript (Diz et al., doi:10.5194/essd-2022-324). Explanations about column names and column codes for BENFEP_v1_short and BENFEP_v1_long can be found in the companion files.
    Keywords: Benthic foraminifera; Database; East_Pacific_BENFEP; East Pacific; File content; Sediment sample; SES; Surface; Text file
    Type: Dataset
    Format: text/tab-separated-values, 6 data points
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  • 4
    Publication Date: 2024-01-10
    Description: This data set integrates findings of 16 years (2005 to 2020) of collaborative monitoring efforts across multiple institutions in the Gulf of California.The data encompasses information of 13 species of marine herbivorous fishes belonging to five families: Acanthuridae, Girellidae, Kyphosidae, Pomacentridae and Scaridae. This database presents 884 records of biomass from 15,542 visual censuses assessed by scuba diving in 34 localities (comprising 268 rocky and coral reefs sites). Visual censuses consisted of belt transects (250 m2, 100 m2, and 60 m2) laid parallel to the coastline preserving a similar depth profiles. Along these transects, trained underwater monitors, identified the species, recorded the abundance of all the adult individuals of the 13 targeted species and visually estimated the total length (cm) of each fish. The information for each transect in the database, is presented as the biomass (grams per square meter), which was estimated based on the size per individual as well as the weight-length relationship for each species, available on the literature. In the database is also integrated the information of the latitude and longitude of each locality, type of management, localities in the Gulf of California, institutions, the initial and final year of data, total number of years, as well as the mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error and minimum and maximum value calculated for each species within each locality. This dataset represents a historical reference point for the condition of the 13 species found in the Gulf of California. It can be used to perform evaluations of how herbivorous fish communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region. communities have changed over time and across different locations. This is particularly relevant due to the influence of global changes leading to tropicalization in the study area. Furthermore, this information holds significance as it supplies essential insights to those responsible for the management of protected zones in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Biomass; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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  • 5
    Publication Date: 2024-01-10
    Description: Through collaborative monitoring involving multiple academic, government, and civil institutions over a span of 16 years (2005 to 2020), we compiled 884 records of the density of 13 species of marine herbivorous fishes. The data was collected through 15,542 visual censuses conducted by scuba diving in 34 localities, encompassing 268 rocky and coral reef sites. These censuses utilized belt transects (250 m², 100 m², and 60 m²) parallel to the coastline at similar depth profiles. Trained underwater monitors recorded abundances of all adult individuals of the 13 targeted species along the transects. The information for each transect in the database is presented as the average fish density (individuals per square meter), estimated based on the abundance for each species. The database integrates information on latitude, longitude, type of management, localities in the Gulf of California, institutions, initial and final years of data collection, total number of years, as well as mean, standard deviation, sample size, slope (annual rate of change), probability value, standard error, and minimum and maximum values calculated for each species within each locality. This dataset serves as a historical benchmark for assessing the status of 13 species in the Gulf of California. It enables the examination of changes in herbivorous fish communities over time and across various locations, which is crucial given the impact of global changes leading to tropicalization in the study area. The data is particularly important for providing valuable insights to those managing protected areas in the Gulf and the broader eastern tropical Pacific region.
    Keywords: Abundance; Activity description; Area/locality; Calculated; density; Estimated; Event label; Family; GOC_Loc_1; GOC_Loc_10; GOC_Loc_11; GOC_Loc_12; GOC_Loc_13; GOC_Loc_14; GOC_Loc_15; GOC_Loc_16; GOC_Loc_17; GOC_Loc_18; GOC_Loc_19; GOC_Loc_2; GOC_Loc_20; GOC_Loc_21; GOC_Loc_22; GOC_Loc_23; GOC_Loc_24; GOC_Loc_25; GOC_Loc_26; GOC_Loc_27; GOC_Loc_28; GOC_Loc_29; GOC_Loc_3; GOC_Loc_30; GOC_Loc_31; GOC_Loc_32; GOC_Loc_33; GOC_Loc_34; GOC_Loc_4; GOC_Loc_5; GOC_Loc_6; GOC_Loc_7; GOC_Loc_8; GOC_Loc_9; Gulf of California; Herbivorous; Identification; Individuals per area; Institution; Latitude of event; Longitude of event; Monitoring; Number of samples; Number of years; Probability; Probability, standard error; Rocky and coral reefs; SCUBA-DIVE; Slope; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Standard deviation; Year of observation; Zone
    Type: Dataset
    Format: text/tab-separated-values, 7849 data points
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  • 6
    Publication Date: 2024-02-21
    Description: This dataset lists metadata of georeferenced stations obtained from 31 published studies of benthic foraminifera from surface sediments of the Eastern Pacific between 1929 and 2019 .The publications included in the dataset do not contain tabulated quantitative species abundance data of benthic foraminifera assemblages. Explanations about column names and column codes can be found in the companion file.
    Keywords: Benthic foraminifera; Database; East_Pacific_BENFEP; East Pacific; File content; Sediment sample; SES; Surface sediment; Text file
    Type: Dataset
    Format: text/tab-separated-values, 3 data points
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  • 7
    Publication Date: 2024-04-18
    Description: The BENFEP_v2 database represents an upgraded version of the "BENthic Foraminifera quantitative database from surface sediments of the Eastern Pacific" (BENFEP_v1,https://doi.org/10.1594/PANGAEA.947086). In this new version we have added five new quantitative datasets and amended the geolocations of a few samples. The taxonomy of benthic foraminiferal species has been updated to World Foraminifera Database (Hayward et al., 2023, last access: 31 July 2023). BENFEP_v2 is presented in a long format. Column codes and column names can be found in the related manuscript (Diz et al.,2023).
    Keywords: Benthic foraminifera; Database; East_Pacific_BENFEP; East Pacific; File content; Sediment sample; SES; Surface; Text file
    Type: Dataset
    Format: text/tab-separated-values, 3 data points
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  • 8
    Publication Date: 2019-07-17
    Repository Name: EPIC Alfred Wegener Institut
    Type: PANGAEA Documentation , notRev
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  • 9
    Publication Date: 2023-03-16
    Keywords: Anihue2012; Anihue2012_CTD01-16; Anihue2012_CTD01-23; Anihue2012_CTD01-34; Anihue2012_CTD01-38; Anihue2012_CTD02-20; Anihue2012_CTD03-19; Anihue2012_CTD04-17; Anihue2012_CTD05-21; Anihue2012_CTD06-24; Anihue2012_CTD07-25; Anihue2012_CTD08-26; Anihue2012_CTD09-27; Anihue2012_CTD10-28; Anihue2012_CTD11-29; Anihue2012_CTD12-30; Anihue2012_CTD13-31; Anihue2012_CTD14-36; Anihue2012_CTD15-39; Anihue2012_CTD16-40; Anihue2012_CTD17-37; Brazo Pillan, Chile; Calculated; Central Brazo Pian; Central Piti Palena 1; Central Piti Palena 2; Central Piti Palena 3; Chlorophyll a; CTD, handheld; CTD, SEA-BIRD SEACAT 19 plus; CTD with attached oxygen sensor; Date/Time of event; Density, sigma-theta (0); DEPTH, water; Elevation of event; End of Brazo Pian; Entrance of Brazo Pian; Event label; Fluorometer, SCUFA; hCTD; Isla Chica; Isla Jaime; Las Hermanas; Latitude of event; Longitude of event; Oxygen; Palena Bay, Chile; pH; pH sensor, SBE 18i1200; Piti Palena Fjord, Chile; Pressure, water; Punto Pian; Salinity; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 26320 data points
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  • 10
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    Unknown
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Brazo Pillan, Chile; Monitoring station; MONS; Punta_Pillan
    Type: Dataset
    Format: unknown
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