ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • PANGAEA  (24)
  • 2020-2024  (24)
  • 1950-1954
  • 1920-1924
Collection
Keywords
Years
Year
  • 1
    Publication Date: 2023-07-06
    Description: The SOAP voyage examined air-sea interactions over the productive waters of the Chatham Rise, east of New Zealand onboard the RV Tangaroa (New Zealand National Institute of Water and Atmospheric Research, Wellington) from February 12 to March 7 (Law et al., 2017: doi:10.5194/acp-17-13645-2017). 23 seawater samples were collected throughout the voyage for the purpose of generating nascent SSA. Seawater samples were collected from the ocean surface during workboat operations (approximately 10 cm depth) or from the mixed layer (3 - 12 m depth, always less than the measured mixed layer depth) or deep water samples. Surface samples were collected in prewashed 5L PTFE bottles, subsurface measurements were colected in Niskin bottles onboard a CTD rosette. Nascent SSA was generated in-situ in a 0.45 m3 cylindrical polytetrafluoroethylene chamber housing four sintered glass filters with porosities between 16 and 250 μm (Cravigan et al., 2019: https://doi.org/10.5194/acp-2019-797). Dried and filtered compressed air was passed through the glass filters at a flow rate of 15.5 ± 3 L/min and resulting SSA was sampled from the headspace of the chamber. The volatility and hygroscopicity of nascent SSA was determined with a volatility and hygroscopicity tandem differential mobility analyser (VH-TDMA) (Johnson et al., 2004: doi:10.1016/j.jaerosci.2003.10.008, 2008: doi:10.1016/j.jaerosci.2008.05.005). A diffusion drier was used to dry the sample flow to 20 ± 5 % RH prior to characterisation by the VH-TDMA. The VH-TDMA used two TSI 3010 condensation particle counters. The aerosol sample flow rate for each scanning mobility particle sizer was 1 L/min, resulting in a total inlet flow of 2 L/min, the sheath flow for the pre-DMA, V-DMA and H-DMA were 11, 6 and 6 L/min, respectively. The dependence of HGF on RH at ambient temperature was measured for one water sample (workboat 9) to provide the deliquescence relative humidity (DRH). All VH-TDMA data were inverted using the TDMAinv algorithm (Gysel et al., 2009: doi:10.1016/j.jaerosci.2008.07.013). The seawater chlorophyll-a concentration was measured by filtering 2 litres of sample water onto GF/F Whatman filters, with immediate freezing in liquid nitrogen and subsequent analysis within 3 months of collection. Filters were ground and chlorophyll-a extracted in 90 % acetone with concentration determined by a calibrated fluorometer (Perkin-Elmer), with an analytical precision of 0.001 mg/m3 (Law et al., 2011: doi:10.1016/j.dsr2.2010.10.018).
    Keywords: aerosols; ccn; Chatham Rise; DATE/TIME; Depth, description; FTIR; functional groups; Humidity, relative; Humidity, relative, maximum; Humidity, relative, minimum; Hygroscopic growth factor; Hygroscopic growth factor, raw counts; hygroscopicity; IBA; ion beam; Particle, geometric median diameter; PTFE bottle, 5L; sea spray; SOAP; SOAP (Surface Ocean Aerosol Production); SSA; TAN1203; Tangaroa; TDMA; Temperature, water; volatility; Volatility-Hygroscopicity Tandem Differential Mobility Analyser (VH-TDMA); WB9
    Type: Dataset
    Format: text/tab-separated-values, 42292 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2023-07-06
    Description: The SOAP voyage examined air-sea interactions over the productive waters of the Chatham Rise, east of New Zealand onboard the RV Tangaroa (New Zealand National Institute of Water and Atmospheric Research, Wellington) from February 12 to March 7 (Law et al., 2017: doi:10.5194/acp-17-13645-2017). 23 seawater samples were collected throughout the voyage for the purpose of generating nascent SSA. Seawater samples were collected from the ocean surface during workboat operations (approximately 10 cm depth) or from the mixed layer (3 - 12 m depth, always less than the measured mixed layer depth) or deep water samples. Surface samples were collected in prewashed 5L PTFE bottles, subsurface measurements were colected in Niskin bottles onboard a CTD rosette. Nascent SSA was generated in-situ in a 0.45 m3 cylindrical polytetrafluoroethylene chamber housing four sintered glass filters with porosities between 16 and 250 μm (Cravigan et al., 2019: https://doi.org/10.5194/acp-2019-797). Dried and filtered compressed air was passed through the glass filters at a flow rate of 15.5 ± 3 L/min and resulting SSA was sampled from the headspace of the chamber. Filters were collected for compositional analysis using transmission Fourier Transform Infra Red (FTIR) and Ion Beam analysis (IBA). The nascent SSA was sampled through a 1 μm sharp cut cyclone (SCC 2.229PM1, BGI Inc., Waltham, Massachusetts) and collected on Teflon filters, with the sample confined to deposit on a 10 mm circular area. Back filter blanks were used to characterise the contamination during handling, and before analysis samples were dehydrated to remove all water, including SSA hydrates, as described in (Frossard and Russell, 2012: doi:10.1021/es3032083). Filter samples underwent simultaneous particle induced X-ray emission (PIXE) and gamma ray emission (PIGE) analysis (Cohen et al., 2004: doi:10.1016/j.nimb.2004.01.043). Si was the only compound with blank measurements above the IBA detection limit. The measured S mass was used to calculate the SO4 mass, all S was assumed to be in the form of SO4. The filter exposed area (0.785 cm2) was used to convert inorganic areal concentrations into total mass. The inorganic mass (IM) was computed as the sum of Na, Mg, SO4, Cl, K, Ca, Zn, Br and Sr. The seawater chlorophyll-a concentration was measured by filtering 2 litres of sample water onto GF/F Whatman filters, with immediate freezing in liquid nitrogen and subsequent analysis within 3 months of collection. Filters were ground and chlorophyll-a extracted in 90 % acetone with concentration determined by a calibrated fluorometer (Perkin-Elmer), with an analytical precision of 0.001 mg/m3 (Law et al., 2011: doi:10.1016/j.dsr2.2010.10.018).
    Keywords: aerosols; Bromine per total inorganic mass fraction; Calcium per total inorganic mass fraction; ccn; Chatham Rise; Chloride per total inorganic mass fraction; CTD/Rosette; CTD-RO; Date/Time of event; Depth, description; DEPTH, water; Event label; FTIR; functional groups; hygroscopicity; IBA; Inorganic mass, total; ion beam; Latitude of event; Longitude of event; Magnesium per total inorganic mass fraction; Potassium per total inorganic mass fraction; PTFE bottle, 5L; sea spray; Simultaneous particle induced X-ray emission (PIXE) and gamma ray emission (PIGE) analysis; SOAP; SOAP (Surface Ocean Aerosol Production); Sodium per total inorganic mass fraction; SSA; Strontium per total inorganic mass fraction; Sulfate per total inorganic mass fraction; TAN1203; Tangaroa; TDMA; U7505; U7506; U7507; U7508; U7510; U7518; U7520; U7521; U7524; U7528; U7530; U7532; volatility; WB1; WB10; WB4; WB5; WB6; WB7; WB8; WB9; Zinc per total inorganic mass fraction
    Type: Dataset
    Format: text/tab-separated-values, 213 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2023-07-06
    Description: The SOAP voyage examined air-sea interactions over the productive waters of the Chatham Rise, east of New Zealand onboard the RV Tangaroa (New Zealand National Institute of Water and Atmospheric Research, Wellington) from February 12 to March 7 (Law et al., 2017: doi:10.5194/acp-17-13645-2017). 23 seawater samples were collected throughout the voyage for the purpose of generating nascent SSA. Seawater samples were collected from the ocean surface during workboat operations (approximately 10 cm depth) or from the mixed layer (3 - 12 m depth, always less than the measured mixed layer depth) or deep water samples. Surface samples were collected in prewashed 5L PTFE bottles, subsurface measurements were colected in Niskin bottles onboard a CTD rosette. Nascent SSA was generated in-situ in a 0.45 m3 cylindrical polytetrafluoroethylene chamber housing four sintered glass filters with porosities between 16 and 250 μm (Cravigan et al., 2019: https://doi.org/10.5194/acp-2019-797). Dried and filtered compressed air was passed through the glass filters at a flow rate of 15.5 ± 3 L/min and resulting SSA was sampled from the headspace of the chamber. The volatility and hygroscopicity of nascent SSA was determined with a volatility and hygroscopicity tandem differential mobility analyser (VH-TDMA) (Johnson et al., 2004: doi:10.1016/j.jaerosci.2003.10.008, 2008: doi:10.1016/j.jaerosci.2008.05.005). A diffusion drier was used to dry the sample flow to 20 ± 5 % RH prior to characterisation by the VH-TDMA. The VH-TDMA was also used to calculate the organic volume fraction (Cravigan et al., 2019: https://doi.org/10.5194/acp-2019-797). The VH-TDMA used two TSI 3010 condensation particle counters. The aerosol sample flow rate for each scanning mobility particle sizer was 1 L/min, resulting in a total inlet flow of 2 L/min, the sheath flow for the pre-DMA, V-DMA and H-DMA were 11, 6 and 6 L/min, respectively. The SSA volatile fraction was computed by measuring the diameter of preselected SSA upon heating by a thermodenuder up to 500 degree C, in temperature increments of 5 degree C - 50 degree C. After heating the SSA hygroscopic growth factor at 90% RH was measured. All VH-TDMA data were inverted using the TDMAinv algorithm (Gysel et al., 2009: doi:10.1016/j.jaerosci.2008.07.013). The hygroscopic growth factor, semi-volatile organic volume fraction and low volatility organic volume fraction were determined as outlined in (Cravigan et al., 2019: doi:10.5194/acp-2019-797). The seawater chlorophyll-a concentration was measured by filtering 2 litres of sample water onto GF/F Whatman filters, with immediate freezing in liquid nitrogen and subsequent analysis within 3 months of collection. Filters were ground and chlorophyll-a extracted in 90 % acetone with concentration determined by a calibrated fluorometer (Perkin-Elmer), with an analytical precision of 0.001 mg/m3 (Law et al., 2011: doi:10.1016/j.dsr2.2010.10.018).
    Keywords: aerosols; Calibrated fluorometer (Perkin-Elmer); ccn; Chatham Rise; Chlorophyll a; CTD/Rosette; CTD-RO; Date/Time of event; Depth, description; DEPTH, water; Event label; FTIR; functional groups; Hygroscopic growth factor; hygroscopicity; IBA; ion beam; Latitude of event; Longitude of event; Organic volume fraction, low-volatile; Organic volume fraction, semi-volatile; Particle, geometric median diameter; PTFE bottle, 5L; Sea-salt hydrates, volume fraction; sea spray; SOAP; SOAP (Surface Ocean Aerosol Production); SSA; TAN1203; Tangaroa; TDMA; U7505; U7506; U7507; U7508; U7510; U7518; U7520; U7521; U7524; U7528; U7530; U7532; volatility; Volatility-Hygroscopicity Tandem Differential Mobility Analyser (VH-TDMA); WB1; WB10; WB4; WB5; WB6; WB7; WB8; WB9
    Type: Dataset
    Format: text/tab-separated-values, 167 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2023-07-06
    Description: The SOAP voyage examined air-sea interactions over the productive waters of the Chatham Rise, east of New Zealand onboard the RV Tangaroa (New Zealand National Institute of Water and Atmospheric Research, Wellington) from February 12 to March 7 (Law et al., 2017: doi:10.5194/acp-17-13645-2017). 23 seawater samples were collected throughout the voyage for the purpose of generating nascent SSA. Seawater samples were collected from the ocean surface during workboat operations (approximately 10 cm depth) or from the mixed layer (3 - 12 m depth, always less than the measured mixed layer depth) or deep water samples. Surface samples were collected in prewashed 5L PTFE bottles, subsurface measurements were colected in Niskin bottles onboard a CTD rosette. Nascent SSA was generated in-situ in a 0.45 m3 cylindrical polytetrafluoroethylene chamber housing four sintered glass filters with porosities between 16 and 250 μm (Cravigan et al., 2019: https://doi.org/10.5194/acp-2019-797). Dried and filtered compressed air was passed through the glass filters at a flow rate of 15.5 ± 3 L/min and resulting SSA was sampled from the headspace of the chamber. Filters were collected for compositional analysis using transmission Fourier Transform Infra Red (FTIR) and Ion Beam analysis (IBA). The nascent SSA was sampled through a 1 μm sharp cut cyclone (SCC 2.229PM1, BGI Inc., Waltham, Massachusetts) and collected on Teflon filters, with the sample confined to deposit on a 10 mm circular area. Back filter blanks were used to characterise the contamination during handling, and before analysis samples were dehydrated to remove all water, including SSA hydrates, as described in (Frossard and Russell, 2012: doi:10.1021/es3032083). FTIR measurements were carried out according to previous marine sampling techniques (Maria et al., 2003: doi:10.1029/2003jd003703; Russell et al., 2010: doi:10.1073/pnas.0908905107). Filter blanks were under the detection limit for the FTIR. The PM1 organic mass fraction from SSA samples collected on filters was computed from the total organic mass from FTIR analysis and the inorganic mass from ion beam analysis, as in (Cravigan et al., 2019: doi:10.5194/acp-2019-797). The uncertainty in the organic mass measured using FTIR is up to 20 % (Maria et al., 2003: doi:10.1029/2003jd003703; Russell et al., 2010: doi:10.1073/pnas.0908905107). The seawater chlorophyll-a concentration was measured by filtering 2 litres of sample water onto GF/F Whatman filters, with immediate freezing in liquid nitrogen and subsequent analysis within 3 months of collection. Filters were ground and chlorophyll-a extracted in 90 % acetone with concentration determined by a calibrated fluorometer (Perkin-Elmer), with an analytical precision of 0.001 mg/m3 (Law et al., 2011: doi:10.1016/j.dsr2.2010.10.018).
    Keywords: Acid functional groups per total organic mass fraction; aerosols; Alcohol functional groups per total organic mass fraction; Alkane functional groups per total organic mass fraction; Amine functional groups per total organic mass fraction; Carbonyl functional groups per total organic mass fraction; ccn; Chatham Rise; Chlorophyll a; CTD/Rosette; CTD-RO; Date/Time of event; Depth, description; DEPTH, water; Event label; Fourier transform infrared spectroscopy (FTIR); FTIR; functional groups; hygroscopicity; IBA; ion beam; Latitude of event; Longitude of event; Organic mass, total; Organic mass fraction; PTFE bottle, 5L; sea spray; SOAP; SOAP (Surface Ocean Aerosol Production); SSA; TAN1203; Tangaroa; TDMA; U7505; U7506; U7507; U7508; U7510; U7518; U7520; U7521; U7524; U7528; U7530; U7532; volatility; WB1; WB10; WB4; WB5; WB6; WB7; WB8; WB9
    Type: Dataset
    Format: text/tab-separated-values, 174 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2023-10-11
    Description: We provide stable carbon (δ¹³C) and oxygen (δ¹⁸O) isotope measurements in individual calcitic valves of extant ostracode species, Sclerocypris clavularis, from modern sediments in 17 sites across Lake Turkana, eastern Africa. These sediments were collected using a modified Ekman dredge during May-November, 1979. Pooled statistics of these individual ostracode valve analyses (IOVA) of δ¹³C and δ¹⁸O measurements (n = 329) at each site show strong correlations with lake hydrological parameters. Within-site variance in IOVA-δ¹³C is larger (~60%) than that of IOVA-δ¹⁸O. Yet, pooled averages exhibit a systematic pattern with higher δ values towards the southern part of the lake, away from Omo River inflow, which is the largest riverine input into Lake Turkana (comprising ~90% of overall inflows). We suggest that the latitudinal δ¹³C gradient may arise from low riverine δ¹³C and low organic matter δ¹³C as a productivity response to nutrient-rich Omo River inflow towards the north. The δ¹⁸O pattern may be explained by the diminishing influence of Omo River inflows and more evaporation driving higher IOVA-δ¹⁸O values towards the windier, southern basin. We conclude that pooled IOVA statistics in Omo-Turkana sediments can aid interpretations of past regional paleohydrology and its variability in this basin.
    Keywords: lake sediments; ostracodes; oxygen and carbon isotopes
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2023-10-11
    Description: This dataset contains measurements of individual ostracode valve analyses (IOVA), including stable oxygen (δ¹⁸O) and carbon (δ¹³C) isotopes, and length/width, and mass measurements, at 17 sites across Lake Turkana, eastern Africa. These sediments were collected using a modified Ekman dredge during May–November 1979. The stable isotopic measurements were conducted at the [Paleo² Laboratory at the University of Arizona|https://thirumalai.geo.arizona.edu/] on a Thermo Kiel IV Carbonate Device coupled to a 253 Plus IRMS; the length/width measurements were performed on a MeijiTechno HDZ7000TS Digital Zoom Microscope System, and mass of each valve was measured using a Sartorius Cubis II Ultra-Micro Balance. Details can be found in https://doi.org/10.1029/2022GC010790
    Keywords: 79-130F; 79-147F; 79-158F; 79-160F; 79-164F; 79-166F; 79-168F; 79-170F; 79-183F; 79-189F; 79-193F; 79-194F; 79-204F; 79-77F; BS125; BS90; BS91; Digital Zoom Microscope System, MeijiTechno, HDZ7000TS; EG; Ekman grab; Elevation of event; Event label; Hole; lake sediments; Lake Turkana, Africa; Latitude of event; Longitude of event; Mass spectrometer ThermoFisher Scientific 253plus gas coupled to a KIEL IV carbonate preparation device; Ostracoda, length; Ostracoda, mass; Ostracoda, δ13C; Ostracoda, δ18O; ostracodes; oxygen and carbon isotopes; Ultra-micro lab balance, Sartorius Cubis II
    Type: Dataset
    Format: text/tab-separated-values, 1974 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2023-10-11
    Description: This dataset contains pooled statistics of stable isotope and shell measurements of individual ostracode valve analyses (IOVA) alongside available in-situ measurements of pH, surface and bottom water temperature (BWT), total number of valves analyzed per site, IOVA-δ¹⁸O, IOVA-δ¹³C, shell mass, shell length/width, along with their average and standard deviations at 17 sites across Lake Turkana, eastern Africa. These modern sediments were collected using a modified Ekman dredge during May to November 1979. The stable isotopic measurements were conducted at the [Paleo² Laboratory at the University of Arizona|https://thirumalai.geo.arizona.edu/] on a Thermo Kiel IV Carbonate Device coupled to a 253 Plus IRMS; the length/width measurements were performed on a MeijiTechno HDZ7000TS Digital Zoom Microscope System, and mass of each valve was measured using a Sartorius Cubis II Ultra-Micro Balance. Details about the materials can be found in https://doi.org/10.1029/2022GC010790
    Keywords: 79-130F; 79-147F; 79-158F; 79-160F; 79-164F; 79-166F; 79-168F; 79-170F; 79-183F; 79-189F; 79-193F; 79-194F; 79-204F; 79-77F; Bottom water temperature; BS125; BS90; BS91; Digital Zoom Microscope System, MeijiTechno, HDZ7000TS; Distance; EG; Ekman grab; Elevation of event; Event label; lake sediments; Lake Turkana, Africa; Latitude of event; Longitude of event; Mass spectrometer ThermoFisher Scientific 253plus gas coupled to a KIEL IV carbonate preparation device; Number of measurements; Ostracoda, length; Ostracoda, length, standard deviation; Ostracoda, mass; Ostracoda, mass, standard deviation; Ostracoda, δ13C; Ostracoda, δ13C, standard deviation; Ostracoda, δ18O; Ostracoda, δ18O, standard deviation; ostracodes; oxygen and carbon isotopes; pH; Sea surface temperature; Site; Ultra-micro lab balance, Sartorius Cubis II
    Type: Dataset
    Format: text/tab-separated-values, 243 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2024-01-06
    Description: The Tara Pacific expedition (2016-2018) sampled coral ecosystems around 32 islands in the Pacific Ocean, and sampled the surface of oceanic waters at 249 locations, resulting in the collection of nearly 58,000 samples. The expedition was designed to systematically study corals, fish, plankton, and seawater, and included the collection of samples for advanced biogeochemical, molecular, and imaging analysis. Here we provide the total dissolvable (i.e. acidified unfiltered whole seawater) Fe, Zn, Mn, Ni, Cd, Co, Cu, and Pb concentrations for 242 surface seawater samples. Trace metal analyses were performed with the goals of characterizing the surface seawater trace metal distribution across the open ocean and coastal regions in both the Atlantic and Pacific, and exploring metal-dependent ecosystem structure and metabolism. Some of the findings include high concentrations of iron (Fe) and manganese (Mn) in several regions, such as the North Atlantic Ocean and near the South Pacific islands, possibly due to Saharan dust and hydrothermal vent input, respectively. Elevated lead (Pb) was found in the North Pacific near southeast Asia, where anthropogenic sources may contribute. We also observe interbasin differences in concentrations for most of the metals, such as cobalt (Co), which is relatively high in the North Atlantic in comparison to the Pacific, perhaps due to dust deposition or continental weathering. There are also intrabasin differences in metal concentrations between oligotrophic and upwelling regions, exemplified by the higher cadmium (Cd) concentrations near the Peruvian coast, likely due to upwelling. Overall we captured high-resolution trace metal data that depicts the nuances in the metal distribution of the global ocean.
    Keywords: Bottle, multi level trace metal; Cadmium, dissolved; Cobalt, dissolved; Comment; Copper, dissolved; Depth, bottom/max; Depth, top/min; DEPTH, water; Environmental feature; Event label; Fondation Tara Expeditions; FondTara; HANDHELD-BOW-POLE; INLINE-PUMP; Iron, dissolved; Lead, dissolved; Manganese, dissolved; MLTM; Nickel, dissolved; OA000-I00-S00; OA000-I10-S01; OA000-I10-S02; OA000-I14-S00; OA000-I18-S03; OA000-I21-S01; OA000-I21-S02; OA000-I31-S00; OA001-I00-S00; OA002-I00-S00; OA003-I00-S00; OA004-I00-S00; OA005-I00-S00; OA006-I00-S00; OA009-I00-S00; OA010-I00-S00; OA011-I00-S00; OA012-I00-S00; OA013-I00-S00; OA014-I00-S00; OA015-I00-S00; OA016-I00-S00; OA017-I00-S00; OA018-I00-S00; OA019-I00-S00; OA020-I00-S00; OA021-I00-S00; OA022-I00-S00; OA023-I00-S00; OA024-I00-S00; OA025-I00-S00; OA026-I00-S00; OA027-I00-S00; OA028-I00-S00; OA029-I03-S00; OA030-I03-S00; OA031-I00-S00; OA032-I00-S00; OA033-I00-S00; OA039-I00-S00; OA040-I00-S00; OA041-I04-S00; OA042-I04-S00; OA043-I04-S00; OA044-I04-S00; OA045-I00-S00; OA046-I00-S00; OA047-I00-S00; OA048-I05-S00; OA049-I05-S00; OA050-I05-S00; OA051-I00-S00; OA052-I00-S00; OA053-I06-S00; OA054-I06-S00; OA055-I06-S00; OA056-I00-S00; OA057-I00-S00; OA058-I00-S00; OA061-I07-S00; OA062-I00-S00; OA063-I08-S00; OA064-I08-S00; OA065-I00-S00; OA066-I09-S00; OA067-I09-S00; OA068-I10-S00; OA069-I10-S00; OA070-I10-S00; OA071-I10-S00; OA072-I11-S00; OA073-I11-S00; OA074-I11-S00; OA075-I12-S00; OA076-I12-S00; OA077-I12-S00; OA078-I00-S00; OA079-I00-S00; OA080-I13-S00; OA081-I13-S00; OA082-I13-S00; OA083-I13-S00; OA084-I00-S00; OA085-I00-S00; OA086-I00-S00; OA087-I00-S00; OA088-I00-S00; OA089-I14-S00; OA090-I14-S00; OA091-I14-S00; OA092-I15-S00; OA093-I15-S00; OA094-I00-S00; OA095-I16-S00; OA096-I00-S00; OA097-I00-S00; OA098-I00-S00; OA099-I00-S00; OA100-I00-S00; OA101-I00-S00; OA102-I00-S00; OA103-I00-S00; OA104-I00-S00; OA105-I00-S00; OA106-I00-S00; OA107-I00-S00; OA108-I00-S00; OA109-I00-S00; OA110-I00-S00; OA111-I00-S00; OA112-I00-S00; OA113-I00-S00; OA114-I00-S00; OA115-I00-S00; OA116-I00-S00; OA117-I00-S00; OA118-I00-S00; OA119-I00-S00; OA120-I00-S00; OA121-I00-S00; OA122-I00-S00; OA123-I00-S00; OA124-I00-S00; OA125-I00-S00; OA126-I00-S00; OA127-I18-S00; OA128-I18-S00; OA129-I18-S00; OA130-I18-S00; OA131-I00-S00; OA132-I00-S00; OA133-I00-S00; OA134-I00-S00; OA135-I00-S00; OA136-I00-S00; OA137-I00-S00; OA139-I00-S00; OA140-I19-S00; OA141-I19-S00; OA142-I19-S00; OA143-I19-S00; OA144-I00-S00; OA145-I20-S00; OA146-I20-S00; OA147-I00-S00; OA148-I21-S00; OA149-I21-S00; OA150-I00-S00; OA151-I00-S00; OA152-I00-S00; OA153-I00-S00; OA154-I00-S00; OA155-I22-S00; OA156-I23-S00; OA157-I23-S00; OA158-I23-S00; OA159-I23-S00; OA160-I24-S00; OA161-I24-S00; OA162-I24-S00; OA163-I00-S00; OA164-I00-S00; OA165-I00-S00; OA166-I25-S00; OA167-I26-S00; OA168-I26-S00; OA169-I00-S00; OA170-I27-S00; OA171-I27-S00; OA172-I28-S00; OA173-I00-S00; OA174-I00-S00; OA175-I00-S00; OA176-I00-S00; OA177-I00-S00; OA178-I00-S00; OA179-I00-S00; OA180-I00-S00; OA181-I00-S00; OA182-I00-S00; OA184-I00-S00; OA185-I00-S00; OA186-I00-S00; OA187-I00-S00; OA188-I00-S00; OA189-I00-S00; OA190-I29-S00; OA191-I29-S00; OA192-I00-S00; OA193-I00-S00; OA194-I00-S00; OA195-I00-S00; OA196-I00-S00; OA197-I00-S00; OA198-I00-S00; OA199-I00-S00; OA200-I00-S00; OA201-I00-S00; OA202-I00-S00; OA203-I00-S00; OA204-I00-S00; OA205-I00-S00; OA206-I00-S00; OA207-I00-S00; OA208-I00-S00; OA209-I00-S00; OA210-I00-S00; OA211-I00-S00; OA212-I00-S00; OA213-I00-S00; OA214-I00-S00; OA216-I30-S00; OA217-I00-S00; OA218-I00-S00; OA221-I31-S00; OA223-I00-S00; OA224-I00-S00; OA225-I00-S00; OA226-I00-S00; OA227-I00-S00; OA228-I00-S00; OA229-I00-S00; OA230-I32-S00; OA232-I32-S00; OA233-I00-S00; OA234-I00-S00; OA235-I00-S00; OA236-I00-S00; OA237-I00-S00; OA238-I00-S00; OA240-I00-S00; OA241-I00-S00; OA242-I00-S00; OA243-I00-S00; OA244-I00-S00; OA245-I00-S00; OA246-I00-S00; OA247-I00-S00; OA249-I00-S00; Pacific; Quality control; Sample code/label; Sample comment; Sample ID; surface seawater; SV Tara; TARA_20160529T1635Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160530T1630Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160531T1345Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160601T1629Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160602T1436Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160604T1445Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160605T1850Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160608T1605Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160609T1734Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160610T1502Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160611T1513Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160613T1430Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160614T1325Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160615T1643Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160616T1906Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160617T1920Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160618T1702Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160619T1928Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160620T2234Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160621T1710Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160622T1700Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160623T1715Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160624T2100Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160625T1800Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160626T1800Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160627T1350Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160706T2202Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160712T1649Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160816T2000Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160817T2124Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160818T2253Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160819T2150Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160819T2355Z_D_O-SRF_INLINE-PUMP; TARA_20160820T2229Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160822T2300Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160823T2325Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160824T2325Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160825T2355Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160828T0013Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160828T1845Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160829T1944Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160830T1644Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160831T0515Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20160831T1723Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160908T0615Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20160909T2325Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160910T1615Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160911T1802Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160912T1712Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160917T1520Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160917T2237Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160919T0110Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160919T1708Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160920T2340Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20160921T0603Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20160928T0751Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20160929T0110Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20160929T1905Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20161001T1721Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20161111T0102Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161111T1810Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20161112T1810Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161118T0317Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161119T1921Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20161120T1915Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161120T2155Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161127T0232Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161127T2023Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161128T0826Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20161130T0206Z_D_S-SRF_HANDHELD-BOW-POLE; TARA_20161201T0215Z_D_S-SRF_HANDHELD-BOW-POLE; TARA_20161203T1902Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161204T0303Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161204T1723Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161228T0551Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161228T2150Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20161229T2310Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20170103T0931Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20170103T2210Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20170104T2118Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20170105T2251Z_D_O-SRF_HANDHELD-BOW-POLE; TARA_20170106T0955Z_N_I-SRF_HANDHELD-BOW-POLE; TARA_20170106T2245Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20170112T0647Z_D_I-SRF_HANDHELD-BOW-POLE; TARA_20170112T2125Z_D_I-SRF_HANDHELD-
    Type: Dataset
    Format: text/tab-separated-values, 14588 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2024-01-24
    Description: Ground Control Points (GCPs) of tidal flats at Port Fourchon-Louisiana-USA with longitude, latitude, elevation and differences (m) between latitudes longitudes and elevation obtained in Oct/2017, Mar/2018, Nov/2018, Nov/2019, Nov/2021 and Jul/2022 by aerophotogrammetry from a DJI Phantom 4 Advanced and RTK drone and those obtained in the field by a Trimble Catalyst receiver, supported by a differential Global Navigation Satellite System with a millimetric correction (precision ± 2 cm) and an electronic Self Leveling Horizontal Rotary Laser (precision ± 2 cm). These data were used to evaluate the digital elevation model (DEM) acquired by photogrammetry. The vertical differences between GCPs and the DEM were evaluated by equation Zdif = ZDEM - Zgrd, where Zdif = the vertical differences, ZDEM = the Z value of the DEM, and Zgrd = the Z value of the GCPs.
    Keywords: ELEVATION; Elevation, difference; Ground control point; LATITUDE; Latitude, difference; LONGITUDE; Longitude, difference; Port_Fourchon-Louisiana
    Type: Dataset
    Format: text/tab-separated-values, 356 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2024-03-15
    Description: Background: Progressive CO2-induced ocean acidification (OA) impacts marine life in ways that are difficult to predict but are likely to become exacerbated over generations. Although marine fishes can balance acid–base homeostasis efficiently, indirect ionic regulation that alter neurosensory systems can result in behavioural abnormalities. In marine invertebrates, OA can also affect immune system function, but whether this is the case in marine fishes is not fully understood. Farmed fish are highly susceptible to disease outbreak, yet strategies for overcoming such threats in the wake of OA are wanting. Here, we exposed two generations of the European sea bass (Dicentrarchus labrax) to end-of-century predicted pH levels (IPCC RCP8.5), with parents (F1) being exposed for four years and their offspring (F2) for 18 months. Our design included a transcriptomic analysis of the olfactory rosette (collected from the F2) and a viral challenge (exposing F2 to betanodavirus) where we assessed survival rates. Results: We discovered transcriptomic trade-offs in both sensory and immune systems after long-term transgenerational exposure to OA. Specifically, RNA-Seq analysis of the olfactory rosette, the peripheral olfactory organ, from 18-months-old F2 revealed extensive regulation in genes involved in ion transport and neuronal signalling, including GABAergic signalling. We also detected OA-induced up-regulation of genes associated with odour transduction, synaptic plasticity, neuron excitability and wiring and down-regulation of genes involved in energy metabolism. Furthermore, OA-exposure induced up-regulation of genes involved in innate antiviral immunity (pathogen recognition receptors and interferon-stimulated genes) in combination with down-regulation of the protein biosynthetic machinery. Consistently, OA-exposed F2 challenged with betanodavirus, which causes damage to the nervous system of marine fish, had acquired improved resistance. Conclusion: F2 exposed to long-term transgenerational OA acclimation showed superior viral resistance, though as their metabolic and odour transduction programs were altered, odour-mediated behaviours might be consequently impacted. Although it is difficult to unveil how long-term OA impacts propagated between generations, our results reveal that, across generations, trade-offs in plastic responses is a core feature of the olfactory epithelium transcriptome in OA-exposed F2 offspring, and will have important consequences for how cultured and wild fish interacts with its environment.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Animalia; Aragonite saturation state; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chordata; Containers and aquaria (20-1000 L or 〈 1 m**2); Date; Dicentrarchus labrax; Fish, dead; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gene expression (incl. proteomics); Laboratory experiment; Laboratory strains; Mortality; Mortality/Survival; Nekton; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Other; Other studied parameter or process; Oxygen; Oxygen, standard error; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; Pelagos; pH; pH, standard error; Replicate; Salinity; Salinity, standard error; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Survival; Temperature, water; Temperature, water, standard error; Time in days; Treatment; Type
    Type: Dataset
    Format: text/tab-separated-values, 8603 data points
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...