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  • 2020-2024  (12)
Collection
Keywords
Publisher
Language
Years
Year
  • 1
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    Database (DSM) of in situ POC and SPM and satellite Rrs (matchup) collected between 2002 and 2018 (2023)
    PANGAEA
    Details
    Publication Date: 2023-11-01
    Description: This data release includes in situ measurements collected between 2002 and 2012 during different study sites (Full description of the methods adopted for each measurements in the references). DSM measurements include 101 coincident in situ concentrations of Particulate Organic Carbon (POC) (μgL-1) and Suspended Particulate Matter (SPM) (mg/l) and remote-sensing reflectances (Rrs, sr-1) matchups for the sensor Meris. It addressed the objective: 1) Validate the POC/SPM ratio using satellite Rrs (matchup)
    Keywords: According to source references; bbp; Carbon, organic, particulate; cp; Cruise/expedition; DATE/TIME; Event label; Grande_campagne_Belgica2010; LATITUDE; LONGITUDE; Phabop_1; Phabop_2; Phabop_3; Phabop_4; Phabop_5; Phabop_6; Phabop_7; POC; Remote sensing reflectance at 412 nm; Remote sensing reflectance at 443 nm; Remote sensing reflectance at 490 nm; Remote sensing reflectance at 510 nm; Remote sensing reflectance at 560 nm; Remote sensing reflectance at 665 nm; Rrs; Somlit_Id:1_1; Somlit_Id:1_10; Somlit_Id:1_11; Somlit_Id:1_12; Somlit_Id:1_13; Somlit_Id:1_14; Somlit_Id:1_15; Somlit_Id:1_16; Somlit_Id:1_17; Somlit_Id:1_18; Somlit_Id:1_19; Somlit_Id:1_2; Somlit_Id:1_20; Somlit_Id:1_21; Somlit_Id:1_22; Somlit_Id:1_3; Somlit_Id:1_4; Somlit_Id:1_5; Somlit_Id:1_6; Somlit_Id:1_7; Somlit_Id:1_8; Somlit_Id:1_9; Somlit_Id:12_1; Somlit_Id:17_1; Somlit_Id:17_2; Somlit_Id:17_3; Somlit_Id:17_4; Somlit_Id:17_5; Somlit_Id:17_6; Somlit_Id:17_7; Somlit_Id:2_1; Somlit_Id:2_10; Somlit_Id:2_11; Somlit_Id:2_12; Somlit_Id:2_13; Somlit_Id:2_14; Somlit_Id:2_15; Somlit_Id:2_16; Somlit_Id:2_17; Somlit_Id:2_18; Somlit_Id:2_19; Somlit_Id:2_2; Somlit_Id:2_20; Somlit_Id:2_21; Somlit_Id:2_22; Somlit_Id:2_23; Somlit_Id:2_24; Somlit_Id:2_25; Somlit_Id:2_26; Somlit_Id:2_27; Somlit_Id:2_28; Somlit_Id:2_29; Somlit_Id:2_3; Somlit_Id:2_30; Somlit_Id:2_31; Somlit_Id:2_32; Somlit_Id:2_4; Somlit_Id:2_5; Somlit_Id:2_6; Somlit_Id:2_7; Somlit_Id:2_8; Somlit_Id:2_9; Somlit_Id:3_1; Somlit_Id:3_10; Somlit_Id:3_11; Somlit_Id:3_12; Somlit_Id:3_13; Somlit_Id:3_14; Somlit_Id:3_15; Somlit_Id:3_16; Somlit_Id:3_17; Somlit_Id:3_18; Somlit_Id:3_19; Somlit_Id:3_2; Somlit_Id:3_20; Somlit_Id:3_21; Somlit_Id:3_22; Somlit_Id:3_23; Somlit_Id:3_24; Somlit_Id:3_25; Somlit_Id:3_26; Somlit_Id:3_27; Somlit_Id:3_28; Somlit_Id:3_29; Somlit_Id:3_3; Somlit_Id:3_4; Somlit_Id:3_5; Somlit_Id:3_6; Somlit_Id:3_7; Somlit_Id:3_8; Somlit_Id:3_9; SPM; Suspended particulate matter; VITEL2011_1; VITEL2011_2
    Type: Dataset
    Format: text/tab-separated-values, 908 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 2
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    Database (DSM) of in situPOC, SPM and Rrs collected between 1997 and 2018 (2023)
    PANGAEA
    Details
    Publication Date: 2023-11-01
    Description: This data release includes in situ measurements collected between 2010 and 2014 during different cruise missions and study sites (Full description of the methods adopted for each measurements in the references). Measurements include concentrations of Particulate Organic Carbon (POC) (μgL-1) and Suspended Particulate Matter (SPM) (mg/l), remote-sensing reflectances (Rrs, sr-1), the particulate backscattering coefficient (bbp), and the particulate attenuation coefficient (cp) (m-1) at 650 nm. The first in situ database, named DS0, includes 300 coincident in situ POC, SPM, bbp, and cp measurements. DS1 includes 325 coincident in situ POC, SPM and Rrs. It addressed two main objectives: 1) Check the relationship between POC/SPM and bbp/cp 2) Develop a POC/SPM algorithm based on Rrs
    Keywords: Attenuation coefficient of particles, 650 nm; Backscattering coefficient/attenuation coefficient of particle ratio; Backscattering coefficient of particles, 650 nm; bbp; Belcolor_250; Belcolor_702N; Belcolor_MH3; Belcolor_MH4; Belcolor_MH5; Belcolor_MH5-B_profil; Belcolor_MH5-C_profil; Belcolor_MH5-F_profil; Belcolor_MH5-G_profil; Belcolor_MH5-H_profil; Belcolor_MH5-I_profil; Belcolor_MH5-J_profil; Belcolor_MH6; Belcolor_MOD-A_profil; Belcolor_MOD-B_profil; Belcolor_MOW-G; Belcolor_MOW-J; Belcolor_MOW-M; Belcolor_S01; Belcolor_W02; Belcolor_W03; Belcolor_W04; Belcolor_W04_profil; Belcolor_W05; Belcolor_W06_profil; Belcolor_W07; Belcolor_W08_profil; Belcolor_W10; Black_Carbon2012_BC2012_HL01; Black_Carbon2012_BC2012_HL02; Black_Carbon2012_BC2012_HL02-01; Black_Carbon2012_BC2012_HL02-02; Black_Carbon2012_BC2012_HL02-03; Black_Carbon2012_BC2012_HL02-04; Black_Carbon2012_BC2012_HL02-05; Black_Carbon2012_BC2012_HL02-06; Black_Carbon2012_BC2012_HL03; Black_Carbon2012_BC2012_HL04; Black_Carbon2012_BC2012_HL05; Black_Carbon2012_BC2012_HL06; Black_Carbon2012_BC2012_HL07; Black_Carbon2012_BC2012_HL08; Black_Carbon2012_BC2012_HL09; Black_Carbon2012_BC2012_HL10; Black_Carbon2012_BC2012_HL11; Black_Carbon2012_BC2012_HL12; Black_Carbon2012_BC2012_HL13; Black_Carbon2012_BC2012_HL13-01; Black_Carbon2012_BC2012_HL13-03; Black_Carbon2012_BC2012_HL13-04; Black_Carbon2012_BC2012_HL13-05; Black_Carbon2012_BC2012_HL13-06; Black_Carbon2012_BC2012_HL14; Black_Carbon2012_BC2012_HL14-01; Black_Carbon2012_BC2012_HL14-02; Black_Carbon2012_BC2012_HL14-03; Black_Carbon2012_BC2012_HL14-04; Black_Carbon2012_BC2012_HL14-05; Black_Carbon2012_BC2012_HL14-06; Black_Carbon2012_BC2012_HL15; Black_Carbon2012_BC2012_HL16; Black_Carbon2013_BC2013_HL02-01; Black_Carbon2013_BC2013_HL02-02; Black_Carbon2013_BC2013_HL02-03; Black_Carbon2013_BC2013_HL02-04; Black_Carbon2013_BC2013_HL02-05; Black_Carbon2013_BC2013_HL02-06; Black_Carbon2013_BC2013_HL13-01; Black_Carbon2013_BC2013_HL13-02; Black_Carbon2013_BC2013_HL13-03; Black_Carbon2013_BC2013_HL13-04; Black_Carbon2013_BC2013_HL13-05; Black_Carbon2013_BC2013_HL13-06; Black_Carbon2013_BC2013_HL14-01; Black_Carbon2013_BC2013_HL14-02; Black_Carbon2013_BC2013_HL14-04; Black_Carbon2013_BC2013_HL14-05; Black_Carbon2013_BC2013_HL14-06; Calculated; Carbon, organic, particulate; Carbon, organic, particulate/suspended particulate matter ratio; cp; Cruise/expedition; DATE/TIME; Dyphyma_DPM01; Dyphyma_DPM06; Dyphyma_DPM07; Dyphyma_DPM09; Dyphyma_DPM10; Dyphyma_DPM11; Dyphyma_DPM12; Dyphyma_DPM13; Dyphyma_DPM15; Dyphyma_DPM38; Dyphyma_DPM40; Dyphyma_DPM41; Dyphyma_DPM42; Dyphyma_DPM43; Dyphyma_DPM44; Dyphyma_DPM45; Dyphyma_DPM48; Dyphyma_DPM49; Dyphyma_DPM51; Dyphyma_DPM52; Dyphyma_DPM53; Event label; Grande_campagne_Belgica2010_ZBLR04; Grande_campagne_Belgica2010_ZBLR05; Grande_campagne_Belgica2010_ZBLR06; Grande_campagne_Belgica2010_ZBLR07; Grande_campagne_Belgica2010_ZBLR10; Grande_campagne_Belgica2010_ZBLR11; Grande_campagne_Belgica2010_ZBLR17; Grande_campagne_Belgica2010_ZBLR18; Grande_campagne_Belgica2010_ZBLR19; Grande_campagne_Belgica2010_ZBLR20; Grande_campagne_Belgica2010_ZBLR22; Grande_campagne_Belgica2010_ZBLR23; Grande_campagne_Belgica2010_ZBLR24; Grande_campagne_Belgica2010_ZBLR26; Grande_campagne_Belgica2010_ZBLR28; Grande_campagne_Belgica2010_ZBLR29; Grande_campagne_Belgica2010_ZBLR31; Grande_campagne_Belgica2010_ZBLR32; Grande_campagne_Belgica2010_ZBLR33; Grande_campagne_Belgica2010_ZBLR34; Grande_campagne_Belgica2010_ZBLR35; Guyane2012_G2012_A1; Guyane2012_G2012_B4; Guyane2012_G2012_S113; Guyane2012_G2012_S13; Guyane2012_G2012_S161b; Guyane2012_G2012_S166; Guyane2012_G2012_S167; Guyane2012_G2012_S173; Guyane2012_G2012_S174; Guyane2012_G2012_S29b; Guyane2012_G2012_S31b; Guyane2012_G2012_S8; In situ Instrument; ISI; LATITUDE; LONGITUDE; POC; Rrs; SPM; Station label; Suspended particulate matter; VITEL2011_A01; VITEL2011_A02; VITEL2011_A03; VITEL2011_A04; VITEL2011_A05; VITEL2011_A06; VITEL2011_A07; VITEL2011_A08; VITEL2011_A09; VITEL2011_A10; VITEL2011_A12; VITEL2011_A13; VITEL2011_A14; VITEL2011_A15; VITEL2011_A16; VITEL2011_A17; VITEL2011_A18; VITEL2011_A19; VITEL2011_A20; VITEL2011_A21; VITEL2011_A22; VITEL2011_A23; VITEL2011_D01; VITEL2011_D02; VITEL2011_D03; VITEL2011_D04; VITEL2011_D05; VITEL2011_D06; VITEL2011_D07; VITEL2011_DV01; VITEL2011_DV02; VITEL2011_DV03; VITEL2011_DV04; VITEL2011_DV09; VITEL2011_DV11; VITEL2011_DV12; VITEL2011_DV13; VITEL2011_DV14; VITEL2011_H06; VITEL2011_H10; VITEL2011_H11; VITEL2011_H13; VITEL2011_H15; VITEL2011_H23; VITEL2011_H28; VITEL2011_H32; VITEL2011_H33; VITEL2014_N01; VITEL2014_N02; VITEL2014_N03; VITEL2014_N04; VITEL2014_N05; VITEL2014_N11; VITEL2014_N12; VITEL2014_N13; VITEL2014_N14; VITEL2014_N15; VITEL2014_N21; VITEL2014_N22; VITEL2014_N23; VITEL2014_N24; VITEL2014_N25; VITEL2014_N31; VITEL2014_N32; VITEL2014_N33; VITEL2014_N42; VITEL2014_N51; VITEL2014_N52; VITEL2014_N53; VITEL2014_N54; VITEL2014_N62; VITEL2014_N63; VITEL2014_N71; VITEL2014_N72
    Type: Dataset
    Format: text/tab-separated-values, 2400 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 3
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    Particle Size Distribution and Size-partitioned Phytoplankton Carbon Using a Two-Component Coated-Spheres Bio-optical Model: Monthly Global 4 km Imagery Based on the OC-CCI v5.0 Merged Ocean Color Satellite Data Set (2022)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Monthly global 4km satellite products spanning September 1997 to December 2020. The data contains Particle Size Distribution (PSD) parameters of an assumed power-law PSD, absolute and fractional size-partitioned phytoplankton carbon and associated variables such as particulate organic carbon (POC) and Chlorophyll-a as derived from the PSD algorithm. The retrieval is based on a backscattering bio-optical model using two particle populations and coated spheres for phytoplankton inherent optical properties (IOP) modeling, and a retrieval using spectral angle mapping (SAM - where satellite spectra are classified using a comparison to a collection of modeled end-member spectra, by treating spectra as vectors and using their dot product). Partial uncertainties are given as standard deviation and are estimated using a combination of Monte Carlo simulations and analytical error propagation. An empirical tuning factor is given for attaining more realistic estimated model concentrations of POC and Chlorophyll-a. The tuning factor is multiplicative, to be applied in linear space. This tuning factor has not been applied to the monthly data, users can choose whether or not to apply it to absolute carbon and Chlorophyll-a concentrations. The factor does not affect retrievals of fractional contributions of phytoplankton size classes to total phytoplankton carbon. Monthly climatologies files and an overall climatology file are also provided, and in those files, both untuned (tuning factor not applied) and tuned (tuning factor applied) variables are provided, for user convenience. Input remote-sensing reflectance data are v5.0 of the Ocean Colour -Climate Change Initiative (OC-CCI) of the European Space Agency. The OC-CCI general reference is Sathyendranath et al. (2019; doi:10.3390/s19194285), and for v5.0 of the dataset, the reference is Sathyendranath et al. (2021; doi:10.5285/1dbe7a109c0244aaad713e078fd3059a). More detailed metadata, including geospatial metadata, are given in the netCDF files. Variable names should be self-explanatory. Quick browse images are provided as well. Coastlines in these quick browse images are from v2.3.7 of the GSHHS data set - see Wessel and Smith (1996) (doi:10.1029/96JB00104). Modeling and data processing was done in MATLAB ®.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); coated spheres; Comment; equivalent algal populations; Image; MATLAB ® - modeling and processing; Mie theory; OC-CCI; ocean color; ocean colour; Particle size distribution; Phytoplankton; phytoplankton carbon; phytoplankton functional types; phytoplankton size classes
    Type: Dataset
    Format: text/tab-separated-values, 880 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 4
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    Flank collapse, sediment failure and flow-transition: the multi-stage deposition of a volcanic sector collapse offshore Montserrat, Lesser Antilles (2023)
    Details
    Publication Date: 2023-11-30
    Type: Conference or Workshop Item , NonPeerReviewed
    Location Call Number Expected Availability
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    PAPER (OCEANREP)
  • 5
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    Chaos in self-gravitating many-body systems. Lyapunov time dependence of N and the influence of general relativity (2021)
    EDP Sciences
    Details
    Publication Date: 2021-11-01
    Print ISSN: 0004-6361
    Electronic ISSN: 1432-0746
    Topics: Physics
    Published by EDP Sciences
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  • 6
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    Guimarães Rosa (2023)
    Fundação Editora da UNESP | Editora UNESP
    Details
    Publication Date: 2024-03-26
    Description: Os onze ensaios aqui reunidos agrupam-se em duas partes: “Estudos comparativos” e “Aspectos da narrativa rosiana”. A primeira tem como eixos a relação entre narrativas de Guimarães Rosa e escritos literários de outros autores e a relação entre elas e produções cinematográficas que traduzem para outra linguagem o universo do escritor mineiro. Os estudos da segunda parte – além de sugerirem um possível caminho para a construção de uma poética rosiana a partir de juízos do próprio escritor, sobretudo acerca da literatura e de sua relação com a língua, em escritos não literários e também literários – demonstram como, na construção da narrativa rosiana, é explorada a relação entre som e sentido, analisam como o autor trata as paixões humanas que desafiam os padrões impostos pela razão e salientam a antropomorfização da natureza como componente erótico. As autoras, com esta publicação, almejam contribuir para uma melhor compreensão da obra de Guimarães Rosa e suscitar reflexões, pois, como ele escreveu em Grande sertão: veredas, “Vivendo, se aprende; mas o que se aprende, mais, é só a fazer outras maiores perguntas”.
    Keywords: Literature: history and criticism ; thema EDItEUR::D Biography, Literature and Literary studies::D Biography, Literature and Literary studies::DS Literature: history and criticism
    Language: Portuguese
    Format: image/jpeg
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    E-BOOK
  • 7
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    Seawater carbonate chemistry and embriolarval development of Echinometra lucunter and neutral red retention time of Perna perna (2022)
    PANGAEA
    Details
    Publication Date: 2024-03-15
    Description: Since the last decade, several studies have reported the presence and effects of pharmaceutical residues in the marine environment, especially those of the antihypertensive class, such as losartan. However, there is little knowledge about the physiological effects of losartan in marine invertebrates regarding its behavior under possible coastal ocean acidification scenarios. The objective of this study was to evaluate biological effects on marine organisms at different levels of the biological organization caused by the compound losartan in water and sediment under coastal ocean acidification scenarios. Water and sediment samples were collected at five sites around the Santos Submarine Sewage outfall (SSO) and two sites around the Guarujá Submarine Sewage Outfall (GSO). Losartan was found in concentrations ranging from effects pH and losartan on the toxicity results. The water toxicity test with Echinometra lucunter embryos/larvae showed LOECs 50–100 mg/L, with values decreasing as the pH decreased. In the sediment assays, LOEC value for sea urchin embryo-larval development was 1.0 μg/g for all tested pHs. Regarding the lysosomal membrane stability assays with adult bivalves, a LOEC of 3000 ng/L was found for Perna perna in water exposure (both at pH 8.0 and 7.6). Effects for Mytella guyanensis were observed at environmentally relevant concentrations in sediment (LOEC = 3 ng/g at pH 8.0 and 7.6). This study demonstrated that coastal ocean acidification by itself causes effects on marine invertebrates, but can also increase the negative effects of losartan in waterborne exposure. There is a need to deepen the studies on the ecotoxicity of pharmaceutical residues and acidification of the marine environment.
    Keywords: Alkalinity, total; Animalia; Aragonite saturation state; Benthic animals; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Cananeia_OA; Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Cocanha_beach; Containers and aquaria (20-1000 L or 〈 1 m**2); Development; Echinodermata; Echinometra lucunter; Embriolarval development; Event label; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Ilha_das_Palmas; Laboratory experiment; Mollusca; Mytella guyanensis; OA-ICC; Ocean Acidification International Coordination Centre; Other; Other studied parameter or process; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Perna perna; pH; Potentiometric; Potentiometric titration; Registration number of species; Replicate; Retention time; Salinity; Single species; South Atlantic; Species; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 11869 data points
    Location Call Number Expected Availability
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    DATA PANGAEA
  • 8
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    Social efficiency of free entry in differentiated oligopolies (2021)
    Springer
    Details
    Publication Date: 2021-11-01
    Print ISSN: 0254-5330
    Electronic ISSN: 1572-9338
    Topics: Mathematics , Economics
    Published by Springer
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  • 9
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    Temporal and Site-Specific ADP-Ribosylation Dynamics upon Different Genotoxic Stresses (2021)
    Molecular Diversity Preservation International
    Details
    Publication Date: 2021-10-28
    Description: The DNA damage response revolves around transmission of information via post-translational modifications, including reversible protein ADP-ribosylation. Here, we applied a mass-spectrometry-based Af1521 enrichment technology for the identification and quantification of ADP-ribosylation sites as a function of various DNA damage stimuli and time. In total, we detected 1681 ADP-ribosylation sites residing on 716 proteins in U2OS cells and determined their temporal dynamics after exposure to the genotoxins H2O2 and MMS. Intriguingly, we observed a widespread but low-abundance serine ADP-ribosylation response at the earliest time point, with later time points centered on increased modification of the same sites. This suggests that early serine ADP-ribosylation events may serve as a platform for an integrated signal response. While treatment with H2O2 and MMS induced homogenous ADP-ribosylation responses, we observed temporal differences in the ADP-ribosylation site abundances. Exposure to MMS-induced alkylating stress induced the strongest ADP-ribosylome response after 30 min, prominently modifying proteins involved in RNA processing, whereas in response to H2O2-induced oxidative stress ADP-ribosylation peaked after 60 min, mainly modifying proteins involved in DNA damage pathways. Collectively, the dynamic ADP-ribosylome presented here provides a valuable insight into the temporal cellular regulation of ADP-ribosylation in response to DNA damage.
    Electronic ISSN: 2073-4409
    Topics: Biology
    Published by Molecular Diversity Preservation International
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  • 10
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    Structural Investigations of α-MnS Nanocrystals and Thin Films Synthesized from Manganese(II) Xanthates by Hot Injection, Solvent-Less Thermolysis, and Doctor Blade Routes (2021)
    American Chemical Society
    Details
    Publication Date: 2021-10-11
    Electronic ISSN: 2470-1343
    Topics: Chemistry and Pharmacology
    Published by American Chemical Society
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