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  • Photogrammetric data for Apollo 12 landing site: coordinates of camera stations, selected objects on the surface, map, *.rzi files with raw data for ImageModeler. It is based on Hasselblad photographs made by the crew during their EVAs. Positions of camera stations, artifacts (Lunar Module, Surveyor 3 space probe, ALSEP instruments ets) and landscape features were determined.
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    • Document
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  • Correct estimation of crop coefficients is essential to accurately assess water requirements of crops and thereby optimize irrigation management. The objectives of this study were (i) to quantify evapotranspiration and water use efficiency of potato crops grown in different locations and seasons in a semi-arid climate under irrigation, (ii) to estimate Kc values for these crops at different growth stages, and (iii) to assess the usefulness of the Penman-Monteith equation to estimate evapotranspiration and irrigation requirements. An eddy covariance system (ECV) was used in potato fields in three production regions of South Africa: the western Free State (summer crop), North West (spring crop) and Limpopo (winter crop). An IRGASON integrated open-path CO2/H2O gas analyzer - the ECV system (Campbell Scientific) was used to measure the H2O vapour fluxes above the crop canopy. It was integrated with a sonic anemometer, which measures the three-dimensional wind speed. Additional supporting sensors (fine wire thermocouple, NR-Lite net radiometer, silicon pyranometer, krypton hygrometer, CS616 reflectometer, Hukseflux heat flux plates) and a tipping bucket rain gauge were added to the system. Data were sampled at a frequency of 10 Hz, processed using EasyFlux DL software (Campbell Scientific), and recorded using a CR3000 datalogger. Seasonal mean crop evapotranspiration (ETc) was 4.6, 4.4 and 2.8 mm/day, respectively, for the summer, spring and winter crops. The reference evapotranspiration (ETo) correlated well with the daily patterns in ETc (r = 0.89, 0.56 and 0.76 for winter, spring and summer potato crops, respectively) and can be used for irrigation scheduling of potato. Seasonal mean Kc values varied considerably between the winter (1.00) and the spring (0.69) / summer (0.79) crops. This range is within the range reported from other parts of the world. The winter crop had the highest WUE of 3.2 kg dry potato tuber m3 of water evapotranspired, whilst WUE for the spring and summer crops was 2.9 and 2.2 kg/m3. The corresponding dry matter tuber yields were 12.0 t/ha (winter crop), 14.1 t/ha (spring crop) and 9.1 t ha/1 (summer crop). Our results suggest that ETo, which can be relatively easily estimated based on data from a weather station, can be used for irrigation scheduling of potato, but Kc values used to estimate crop evapotranspiration and irrigation requirements may need to be adjusted depending on the cropping season. Water use efficiency of potato was higher for the crop growing in the cooler winter compared to the crops growing in spring / summer. To optimize water use efficiency of potato in water-scarce areas that rely mostly on irrigation water for potato production, it is advisable to grow potato crops in the cooler season, outside the frost-prone period if possible.
    Data Types:
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  • The database contains cross-border exposures (as a % of total exposures) to individual countries for the 61 largest European banks over the years 2010-2015. Getting a complete overview of the cross-border positions of European banks is challenging, as there are no regular reporting standards for banks’ foreign exposures split by country. One option is to focus on banks’ foreign subsidiaries. This may however lead to a significant underestimation of a bank’s foreign activities, especially since European banks conduct around half of their foreign activities vis branches. With this dataset we aim to provide a more complete picture of banks' cross-border exposures and collected the data ourselves from public sources. We collected the data for the 61 largest European banks. These banks together represent around two-third of total European banking assets. The 61 banks together invest in 138 different countries (the countries are presented by their ISO2 codes). Data on cross-border exposures are primarily obtained from annual reports, and, when needed, supplemented with data stemming from the public EBA stress tests conducted in 2011 and 2013, and CRD IV country-by-country reporting.Due to the absence of a standard reporting format some assumptions and simplifications had to be made. First of all, the majority of banks report their foreign exposures in loans or assets, but some banks use the net income as the reporting unit. As we are especially interested in banks’ credit exposures to other countries, we had an order of preference for exposures reported in i) loans; ii) assets; and iii) net income. Second, we aimed for cross-border exposures at the country level as for our analysis we link home and host country characteristics. However, sometimes only information on banks’ exposures to a group of countries (e.g. Western Europe) or continents (e.g. Asia) was available. In those cases, we simply reported the exposures to groups of countries or continents (see columns EN-EX in the database). Third, the data collection resulted in an almost complete overview of the foreign exposures of the 61 European banks. For only a small portion of foreign exposures (3.6% of the total foreign exposures or 1.1% of the total assets) we do not know to which region or country these belong . This is the case when banks report their remaining foreign exposures as “other” without mentioning the countries belonging to this group (here we used "in-sample" estimation). Note that it also happens that a bank reports about its cross-border exposures quite granular for one year (i.e. exposures to multipe individual countries), and the subsequent year only reports the total exposures to "rest of europe" and "america". In those cases information from the years with granular information is used to make assumptions about the other years' cross-border exposures.
    Data Types:
    • Tabular Data
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  • Appendix 1: Mineral chemistry Data Appendix 2: Precision and acuraccy Appendix 3: Compilated data for isotopic geochemistry
    Data Types:
    • Tabular Data
    • Dataset
  • Raw pollen counts and full pollen diagram from the RZ section, Nangqian Basin, Tibet, China
    Data Types:
    • Tabular Data
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  • FTIR: The chitosan derived from T. telescopium was characterized using a Fourier Transform Infra-Red Spectrophotometer (FTIR). The spectrum showed peak at 873.75 cm-1, which could be assigned C-N stretching. The absorption peak at 1454.33 cm-1is assigned to C-H bending of the side chain –CH2OH. 1654.92 cm-1is a characteristic of bending vibration of N-H while 3637.75 cm-1 is characteristic of free O-H groups. The band at 1103.28 cm−1 is attributed to the C O C stretching. The spectrum is relatively similar to that of commercial chitosan and all these absorption peaks are typical of chitosan molecule. SEM: The structure and morphology of the chitosan was studied by SEM analysis. The SEM micrograph shows that there is a difference in the surface morphology between the gastropod and the commercial chitosan. For T. telescopium chitosan the micrograph shows a smooth and homogenous surface with clustering of uneven particles. At high magnification, the particles were observed to be irregular in shape and dispersed as flakes. XRD: The XRD pattern of chitosan exhib¬ited broad diffraction peaks at 2θ = 18º and 35º which are typical finger prints of semi-crys¬talline chitosan. The gastropod chitosan was found to have few different peaks compared to commercial grade chitosan, which may be attributed to the presence of minerals in the prepared chitosan; but the major XRD peaks recorded are the characteristics of formation of chitosan compound.
    Data Types:
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    • Text
  • A Mobile Monitoring System (MMS) has been designed having into account the use of technology with high sensor accuracy and with the capacity to be installed easily and quickly in different cardinal locations, distribution spaces, volumes and at different heights of a tertiary in-use building located in Leioa (Bilbao).Two types of MMS have been designed with the aim of doing two types of analysis, one intended to do the indoor air temperature uncertainty analysis and another focused on doing the outdoor air temperature uncertainty analysis. Eight tripods compose the indoor MMS with twenty sensors at different heights, which have been installed in different building’s offices in order to collect indoor temperature measurements at different heights and locations. As well, eight sensors compose the outdoor MMS to collect data of outdoor temperature measurements. Both MMS have been integrated to the existing Building Automation System (BAS) of the tertiary building; some data collected by the BAS have also been taken into account for the indoor and outdoor temperature uncertainty analysis. Seven tests have been carried out, five tests for the indoor temperature analysis and two tests for outdoor analysis. In the case of indoor MMS, one test has collected temperature data from all sensors together in the same place and at the same height, and four tests were carried out in four different offices with different typologies; all tests have been performed using the MMS at different periods using the same eight tripods. With the outdoor MMS, again, one test has collected temperature data of all sensors together located at the building’s roof and the final test has been carried out installing the sensors around the envelope of the building at different heights and cardinal locations. The potential of the datasets from the indoor and outdoor MMSs is based on the rigorous data collection process, which allows making an analysis of: temperature uncertainties, temperature stratification, temperature spatial behaviour and temperature behaviour analysis due to impact of solar radiation, heating system and electricity consumption.
    Data Types:
    • Tabular Data
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  • This dataset is collection of hardness and residual stress measurement result of UNSM treated various nickel based alloys
    Data Types:
    • Tabular Data
    • Dataset
  • This dataset comprehends data and and associated R code used to run the analysis for the paper. We also include an R Markdown Dynamic document. We tested whether the amount of melanomacrophages and hepatic cellular catabolism substances are influenced by land use changes in the Brazilian Cerrado. Data contains the Environmental matrix (Q) composed of the land use classes for each samplimg site, species trait (R) matrix with content of each pigment in cells, averaged from all individuals, and species composition matrix (L) with the species incidence in all sampling sites.
    Data Types:
    • Software/Code
    • Tabular Data
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    • File Set
  • A method for measuring snow adhesion has been developed and tested. The present dataset represent the resulting data from this testing. Testing was performed in a controlled environment and using synthetic snow, in order to make the results as reproducible as possible. The data is structured so as to be self-explanatory given a context is provided as above, and include time and date of each sample run. This allows for analysis of the temperature and humidity stability.
    Data Types:
    • Tabular Data
    • Dataset
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