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Abstract: This dataset is constituted by historical vertical profiles of temperature and salinity from the former Centro de Oceanografia da Faculdade de Ciências da Universidade de Lisboa (CO-FCUL, now MARE-FCUL). The profiles were gathered during 42 campaigns (1978-2007) conducted by CO-FCUL or international institutions where CO-FCUL researchers were participants. The dataset was constructed, and used, for the work of Valente et al. (2019). Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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Abstract: We present station-specific depth integrated abundance and biomass of Calanus spp. (stage-specific abundance, CI-CVI, of C. finmarchicus, C. glacialis, C. hyperboreus and combined biomass of late stages, CIV-CVI, of Calanus spp.) collected from zooplankton monitoring programs from 19 subregions spanning the Newfoundland and Labrador Shelves, Gulf of St. Lawrence (GSL), Scotian Shelf, and Gulf of Maine (GoM). These data span years 1999-2016, except the southwest GSL subregion (1982-2016) and GoM (1977-2016). We also present data on near surface and bottom temperature and salinity from subregions in Canadian waters. We then present derived annual anomalies of abundance of the three species of Calanus, their combined biomass, and near surface and bottom temperature and salinity from all subregions. This is a contribution by Canadian and USA scientists and their institutions. Sampling and data processing methods are provided in detail in Sorochan et al. (2019), and zooplankton sampling methods are summarized here. Zooplankton samples from the southwest GSL subregion were collected from the DFO mackerel egg production survey (Mackerel Survey) using a 0.61-m diameter bongo frame (0.333-µm mesh) towed obliquely to the surface from a maximum sampling depth that varied among years, but was usually > 50 m. All other samples from Canadian waters were collected as part of the DFO Atlantic Zone Monitoring Program (AZMP) using a 0.75-m diameter ring net (202-µm mesh) towed vertically to the surface from a depth of ~ 5 m above bottom or a maximum depth of 1000 m. Samples from the GoM were collected from the NOAA Marine Resources Monitoring, Assessment and Prediction and Ecosystem Monitoring Surveys (EcoMon), which used the same gear as the Mackerel Survey, but sampled from a depth of ~ 5 m above bottom or a maximum depth of 200 m. These data were supplemented with surveys from the western GoM, which used sampling methods identical to AZMP. When samples were not collected from near bottom to surface in the Mackerel Survey and EcoMon, the data were adjusted using a Generalized Additive Model to estimate the depth integrated abundance or biomass from near to bottom to surface. Annual anomalies correspond to those published in Sorochan et al. (2019) with exception of abundance and biomass of Calanus spp. from the GoM and southwest GSL, which have been slightly modified to reflect updates on the data inclusion and standardization. We also note that the linear model used to derive anomalies of Calanus spp. abundance and biomass in the GoM uses Month as a factor rather than Season, which was incorrectly reported in Table 3 of Sorochan et al. (2019). Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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Abstract: We provide a dataset of 3D coordinate time series of 37 continuous GNSS stations installed on onshore and offshore industrial settlements along a NW-SE-oriented and ~100-km-wide belt encompassing the eastern Italian coastal area and the Adriatic Sea. The dataset results from the analysis performed by using different geodetic software (Bernese, GAMIT/GLOBK and GIPSY) and is constituted by 6 raw position time series solutions (in ASCII pos format), referred to IGb08 and ITRF2014 reference frames. The raw time series have been stored into a single zip file in different folders and accordingly renamed based on the solutions below described: ● Solution IBO_GAMIT by Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Bologna. Software: GAMIT (Ver. 10.70)+QOCA. Reference frame: IGb08 ● Solution IOE_GAMIT by Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo - Sezione di Catania. Software: GAMIT/GLOBK (Ver. 10.70). Reference frame: IGb08 ● Solution ONT_BERNESE by Istituto Nazionale di Geofisica e Vulcanologia - Osservatorio Nazionale Terremoti. Software: Bernese (ver 5.0). Reference frame: IGb08 ● Solution ONT_GIPSY by Istituto Nazionale di Geofisica e Vulcanologia - Osservatorio Nazionale Terremoti. Software: Gipsy (ver. 6.3). Reference frame: ITRF2014 ● Solution UBO_GAMIT by Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali - Università di Bologna. Software: GAMIT/GLOBK (Ver. 10.61). Reference frame: IGb08 ● Solution UBO_GIPSY by Dipartimento di Ingegneria Civile, Chimica, Ambientale e dei Materiali - Università di Bologna. Software: GipsyX (Ver. rc0.4). Reference frame: IGb08 We included in the same repository: ● A file, named "ENI_Offsets.json", containing all manually picked offsets; as mentioned above it can be used as input for later use in the TSAnalyzer software. ● Logs files as resulting from the analysis performed with the TSAnalyzer software; the logs files have been renamed accordingly to the associated solution. ● Phasor diagrams for each station in pdf format. Top: annual signals; bottom: semiannual signals. Amplitudes of the estimated sine and cosine parameters are plotted for the North, East and Up components. The upper-right plot represents the key to correlate the maxima phase direction with the day year period. Phases are referred to January 1 and time increases clockwise. ● Time series comparison plots in pdf format. Each time series is reported after correcting offsets and removing the linear trend. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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Abstract: Not Available Category: geoscientificInformation Source: Not Available Supplemental Information: Model output data - peatland carbon balance at different time scales, the dominant vegetation types, permafrost(ice-fraction) Coverage: EVENT LABEL: * LATITUDE: 90.000000 * LONGITUDE: 0.000000 * LOCATION: Arctic
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Abstract: Sand samples were collected from two dune fields: Algodones in southern California and Little Sahara in Oklahoma. Sand samples were collected for abrasion experiments investigating the creation of silt-sized particles. Grain size data in this document were collected using a Malvern Mastersizer 3000 Laser Particle Size Analyzer (LPSA). Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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Abstract: This dataset provides continuous monthly river flow series for 52 flow stations across the Island of Ireland, commencing in December 1766 and running to November 2016. Flows have been reconstructed using an Artificial Neural Network and the GR2M conceptual hydrological model. Reconstructions from the two models as well as their ensemble are presented for each flow station (ID provided in each column). Also presented are the 2.5 and 97.5 quantile values for the ensemble reconstruction series, which represent the upper and lower uncertainty bounds of the respective ensemble flows derived during the flow generation process. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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Abstract: Soil surface temperatures were collected with help of iButtons along different transects and clusters in the Northslope of Alaska, around Christchurch (Canada) and the region of Illirney and Lena-Viluy (Russia). The intervall was set to 4 hours resp. 4.25 Hours. Different models of iButtons were used (with a resolution of 0.0625 °C and 0.5°C resp.). Category: geoscientificInformation Source: Not Available Supplemental Information: Manufacturer: Maxim Integrated Modell: DS1921G Accuracy: +/- 1°C (-30 to 70°C) Resolution: 0.5°C Range: -40 to 85°C Modell: DS1922L Accuracy: +/- 0.5°C (-10 to 65°C) Resolution: 0.0625°C Range: -40 to 85°C Coverage: Not Available
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Abstract: This dataset is constituted by historical vertical profiles of temperature and salinity from the former Centro de Oceanografia da Faculdade de Ciências da Universidade de Lisboa (CO-FCUL, now MARE-FCUL). The profiles were gathered during 42 campaigns (1978-2007) conducted by CO-FCUL or international institutions where CO-FCUL researchers were participants. The dataset was constructed, and used, for the work of Valente et al. (2019). Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
Data Types:
  • Other
Abstract: The middle Miocene is an important analogue for potential future warm climates. Unfortunately, relatively few independent deep ocean temperature records exist, though these are required for climate model validation and estimates of changes in ice volume. The few existing records suggest that bottom water temperatures were 5 – 8°C warmer than present. In order to improve confidence in proxy data, we generated a new bottom water temperature record using carbonate clumped isotopes (Δ47) and compared our results with Mg/Ca-based estimates for the deep Indian Ocean at ODP Site 761. Our Δ47 temperature record agrees well with previously published Mg/Ca temperatures for this site, predicting average deep-sea temperatures of 11.0 ± 1.7°C during the middle Miocene Climatic Optimum (MCO, 14.7 – 17 Ma), 8.1 ± 1.9°C after the middle Miocene Climate Transition (MCT, 13.0 – 14.7 Ma) and a cooling across the MCT of 3 ± 2°C (uncertainties 95% confidence level). The Mg/Ca record derived from the same samples indicates a very similar magnitude of cooling of ~ 2°C. Examining non-thermal factors that could bias either paleothermometer, changes in saturation state are the most likely cause for any remaining offsets, with the caveat that, over the majority of the record, the Mg/Ca temperatures are within the 95% confidence intervals of the Δ47 temperatures. Our new Δ47 temperature record implies a ~0.6 ‰ seawater δ18O change over the MCT, again in good agreement with Mg/Ca-derived estimates. As previously suggested, both paleothermometers imply a heavier than modern seawater δ18O composition after the MCT. It consists of final calculated bottom water temperatures based on carbonate clumped isotope compositions (Δ47) and metal ion (Mg, Li, Ca) ratios. The raw and intermediate carbonate clumped isotope data used to produce the Δ47 temperatures is archived with the EarthChem database. The raw element/metal concentration data are from Lear et al., 2010. Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: EVENT LABEL: * LATITUDE: -16.737000 * LONGITUDE: 115.535000 * DATE/TIME START: 1988-07-19T10:00:00 * DATE/TIME END: 1988-07-21T09:00:00 * ELEVATION: -2179.0 m * Penetration: 286.7 m * Recovery: 199.08 m * LOCATION: South Indian Ridge, South Indian Ocean * CAMPAIGN: Leg122 * BASIS: Joides Resolution * METHOD/DEVICE: Drilling/drill rig
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Abstract: Simultaneous measurements of free amino acids in seawater (underlying water, ULW, and sea surface microlyer, SML), size-segregated aerosol particle and cloud water samples at the Cape Verde Atmospheric Observatory (CVAO) in the framework of the MarParCloud project with contribution of MARSU in September/October 2017. During this campaign, sampling of size-segregated aerosol particles at the CVAO (30 m sampling tower) and seawater sampling at the ocean site (~16°53ˈ30ˈN, ~24°54ˈ00ˈˈW) were performed. Additionally, aerosol sampler and cloud water sampler were installed at the mountain station on the top of the mountain 'Monte Verde (MV)' (744 m a.s.l.). The amino acid analysis includes glycine (Gly), L-alanine (Ala), L-serine (Ser), L-glutamic acid (Glu), L-threonine (Thr), L-proline (Pro), L-tyrosine (Tyr), L-valine (Val), L-phenylalanine (Phe), L-aspartic acid (Asp), L-isoleucine (Ile), L-leucine (Leu), L-methionine (Met), L-glutamine (Gln) and γ-aminobutyric acid (GABA) (purity ≥ 99 %, Sigma-Aldrich, St. Louis, Missouri, USA). The analytical measurements of the derivatized FAA, derivatization was performed using AccQ-Tag™ precolumn derivatization method (Waters, Eschborn, Germany), were performed with ultra high performance liquid chromatography with electrospray ionization and Orbitrap mass spectrometry (UHPLC/ESI Orbtitrap-MS). Category: geoscientificInformation Source: Not Available Supplemental Information: Not Availble Coverage: Not Available
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