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  • 2020-2024  (72,485)
  • 2021  (72,485)
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  • 1
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    Big data and tourism research: measuring research impact (2021)
    Springer
    Details
    Publication Date: 2024-06-17
    Description: Digital transformation and technological advances are causing a radical change in com‑ munication structures and in the way information is consumed. With rapid development of computing and the Internet, data is generated, recorded, stored and accumulated on a large scale, making it necessary for economic sectors to act quickly in order to adapt their busi‑ nesses to the online environment and thus, ensure their own survival. The application of Big Data in tourism enables to transform all this data into useful information, so that com‑ panies in the sector can defne and optimize their strategies in order to increase their prof‑ its. This article performs a comparative bibliometric analysis of the presence and impact of scientifc production related to Big Data within the area of tourism research indexed in the WoS and Scopus databases. The aim is to know key aspects such as its growth, correlation, citation, coverage, overlap, dispersion or concentration that will support future research‑ ers when they start their work in this emerging feld. From the analysis of the 113 articles selected between the two bases through an advanced search for terms with a time limit set in 2019, it can be concluded that this is a new feld of knowledge, which has aroused great interest since 2017, publishing about two thirds of the articles during the period 2017– 2019. Although WoS and Scopus difer in general terms in scope and coverage policies, both systems are complementary and not exclusive. In the specifc area of Big Data and Tourism Research, Scopus is the base that provides better coverage by collecting a higher number of articles and receiving more citations.
    Description: Published
    Description: 271–292
    Description: OSA5: Energia e georisorse
    Description: N/A or not JCR
    Keywords: Big data ; Tourism ; Bibliometric study ; Citation analysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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    PAPER (OA)
  • 2
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    Investigating financial statements in hospitality: a quantitative approach (2021)
    Springer Nature
    Details
    Publication Date: 2024-06-17
    Description: The aim of this paper is to investigate, through fnancial-statement analyzes, the economic fnancial performance of Italian hotels, after the international economic crisis, also con sidering the possible macro-regional diferences. The study focuses the fnancial state ments of 5473 hotels from 2009 to 2018. National data are also disaggregated in the three macro-areas that characterize Italy for diferent social and economic aspects. Anova test and Tukey–Kramer test are used. Results show that the crisis afected proftability. Ital ian hotels have a low capitalization, unable to cope with the large structural investments that require signifcant debts. The proftability indicators record similar trends in the three macro-areas, while the fnancial independence index and the coverage index show signif cant diferent values in the three observed areas. Therefore, in the digital era, Italian hotel industry has all the potential to restructure itself. Here fve ratios are considered to observe medium sized hotels. Future research with other variables will be useful, even on smaller hotels, and the analysis of their trends by cohorts of companies is necessary, as well as the integration of quantitative data with qualitative evidence. This paper encourages the cul ture of temporal sector comparison, re-evaluating the potential of accounting information systems, in order to promote data-based growth and development strategies. Furthermore, it contains indications for government ofcials, as well as for countries in the process of developing the hospitality sector following the example of the Italian experience.
    Description: Published
    Description: 383–407
    Description: OSA5: Energia e georisorse
    Description: N/A or not JCR
    Keywords: Italian hotels ; Tourism in Italy ; Economic-fnancial performance ; Crisis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 3
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    Inorganic geochemistry of sedimentary rocks in the catchment of river Thuringian Saale during the last 600 Ma (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Description: A literature retrieval was performed for whole rock geochemical analyses of sedimentary, magmatic and metamorphic rocks in the catchment of River Thuringian Saale for the past 600 Ma. Considering availability and coincidence with paleontological an facies data the following indicators seem suitable to detect environmental and climatic changes: biogenic P for Paleoproductivity, STI Index for weathering intensity, Ni/Co-ratio for redox conditions, relative enrichments of Co, Ba and Rb versus crustal values for volcanic activity at varying differentiation. The Mg/Ca-ratio as proxy for salinity is applicable in evaporites. The binary plot Nb/Y versus Zr/TiO2 indicates a presently eroded volcanic level of the Bohemian Massif as catchment area for the Middle Bunter, whereas higly differentiated volcanics provided source material for Neoproterozoic greywackes. A positive Eu-anomaly is limited to the Lower Bunter and implies mafic source rocks perhaps formerly located in the Bohemian Massif.
    Keywords: AGE; Aluminium; Aluminium oxide; Antimony; Arsenic; Barium; Beryllium; Bismuth; Boron; Cadmium; Caesium; Calcium; Calcium oxide; Carbon, organic, total; Carbon, total; Carbon dioxide; Cerium; Chlorine; Chromium; Cobalt; Copper; Dysprosium; environmental change; Erbium; Europium; Gadolinium; Gallium; Germanium; Gold; Hafnium; Holmium; Indium; inorganic geochemistry; Iodine; Iron; Iron oxide, Fe2O3; Iron oxide, FeO; Lanthanum; Lead; Lithium; Loss on ignition; Lutetium; Magnesium; Magnesium oxide; Manganese; Manganese oxide; Median values; Mercury; Molybdenum; MULT; Multiple investigations; Neodymium; Nickel; Niobium; Nitrogen, total; Number of analyses; Palladium; Phosphorus; Phosphorus pentoxide; Platinum; Potassium; Potassium oxide; Praseodymium; provenance study; proxies; Recalculated; Rhenium; Rubidium; Saale; Saale catchment; Samarium; Scandium; Selenium; Silicon; Silicon dioxide; Silver; Sodium; Sodium oxide; Stratigraphy; Strontium; Sulfur, total; Sulfur trioxide; Tantalum; Tellurium; Terbium; Thallium; Thorium; Thulium; Tin; Titanium; Titanium dioxide; Tungsten; Uranium; Vanadium; Water in rock; Ytterbium; Yttrium; Zinc; Zirconium
    Type: Dataset
    Format: text/tab-separated-values, 2994 data points
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  • 4
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    Basic measurements of radiation at station Lanyu Island (2021-05) (2021)
    PANGAEA
    In:  Central Weather Bureau, Taiwan
    Details
    Publication Date: 2024-06-17
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Lanyu Island; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; LYU; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CMP21, SN 160714, WRMC No. 79001; Pyranometer, Kipp & Zonen, CMP21, SN 160715, WRMC No. 79002; Pyrgeometer, Kipp & Zonen, CGR4, SN 160198, WRMC No. 79004; Pyrheliometer, Kipp & Zonen, CHP 1, SN 160427, WRMC No. 79003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Taiwan; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 677447 data points
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  • 5
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    Basic and other measurements of radiation at station Izaña (2020-12) (2021)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-17
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1195351 data points
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  • 6
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    Basic and other measurements of radiation at station Gobabeb (2020-12) (2021)
    PANGAEA
    In:  Meteorology Climatology Remote Sensing, Dep. Umweltwissenschaften, Universität Basel
    Details
    Publication Date: 2024-06-17
    Description: In Gobabeb, Namibia SWD, LWD and DIR are each measured redundant with two instruments of the same make (not in this data base). The differences between the pairs are used in the quality control. This is done manually by inspecting plots of half-day diurnal courses of the pairs and their differences. Values are removed mostly in the morning due to daily cleaning. Other reasons for larger differences are birds, insects, or people at the station. There are regular fog events varying in frequency over the year. Usually, the fog appears in the second half of the night and disappears a few hours after sunrise. The case temperatures of pyrgeometers practically never drop below dewpoint but there can be water deposition of the dome.
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, standard deviation; GOB; Gobabeb; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; Long-wave downward radiation; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Monitoring station; MONS; Namib Desert, Namibia; Pyranometer, Kipp & Zonen, CMP22, SN 110315, WRMC No. 20100; Pyranometer, Kipp & Zonen, CMP22, SN 110316, WRMC No. 20101; Pyranometer, Kipp & Zonen, CMP22, SN 120330, WRMC No. 20102; Pyrgeometer, Kipp & Zonen, CGR4, SN 110408, WRMC No. 20200; Pyrgeometer, Kipp & Zonen, CGR4, SN 120457, WRMC No. 20201; Pyrheliometer, Kipp & Zonen, CHP 1, SN 110764, WRMC No. 20000; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Station pressure; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 580044 data points
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  • 7
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    Basic and other measurements of radiation at station Izaña (2021-05) (2021)
    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Details
    Publication Date: 2024-06-17
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; EKO Instruments, MR-60, SN S15115.07, WRMC No. 61013; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Long-wave upward radiation; Long-wave upward radiation, maximum; Long-wave upward radiation, minimum; Long-wave upward radiation, standard deviation; Monitoring station; MONS; Net radiation; Net radiation, maximum; Net radiation, minimum; Net radiation, standard deviation; Pyranometer, EKO, MS-802F, SN F15508FR, WRMC No. 61010; Pyranometer, EKO, MS-802F, SN F15509FR, WRMC No. 61011; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, EKO, MS-56, SN P15048, WRMC No. 61012; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Short-wave upward (REFLEX) radiation; Short-wave upward (REFLEX) radiation, maximum; Short-wave upward (REFLEX) radiation, minimum; Short-wave upward (REFLEX) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 1331440 data points
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  • 8
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    Middle Eocene to early Oligocene SST record of ODP Site 189-1172 (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Keywords: 189-1172A; 189-1172D; AGE; Australia; Biomarkers; DEPTH, sediment/rock; DRILL; Drilling/drill rig; Eocene-Oligocene Transition; Event label; Joides Resolution; Leg189; Ocean Drilling Program; ODP; Paleotemperature; Reference/source; Sea surface temperature; SST, from BAYSPAR (50th Percentile); SST, from BAYSPAR (95th Percentile); Tasman Sea; terrestrial temperatures; Tetraether index of 86 carbon atoms
    Type: Dataset
    Format: text/tab-separated-values, 305 data points
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  • 9
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    Middle Eocene to early Oligocene geochemical temperature proxies (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Keywords: 119-739C; 151-913B; 318-U1356; Age, comment; Australia; Biomarkers; China; COMPCORE; Composite Core; Country; DRILL; Drilling/drill rig; Ebro_Basin; Eocene-Oligocene Transition; Error; Gran_Barranca; Hampshire_Basin; Isle of Wight; Joides Resolution; LATITUDE; Leg119; Leg151; LONGITUDE; Montana; MULT; Multiple investigations; Nebraska; NECLIME_campaign; North Greenland Sea; Oregon; Paleontological sampling; Paleotemperature; PALSAMP; Proxy; Prydz Bay; Reference/source; Site; South Dakota; Temperature description; terrestrial temperatures; United States; US-MT; US-NE; US-OR; US-SD; US-WY; Wyoming; Xining_Minhe_Basin
    Type: Dataset
    Format: text/tab-separated-values, 98 data points
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  • 10
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    Experiment on seagrass (Zostera marina) response to chronically elevated temperature: oxygen in benthocosms (2021)
    PANGAEA
    Details
    Publication Date: 2024-06-17
    Description: This study simulated a 9-months warming scenario on the common seagrass Zostera marina from winter into summer (December 2015 - August 2016) in the Western Baltic Sea (Kiel Fijord), using outdoor mesocosms. Two treatments were applied: Ambient temperature regime (Ambient) and Ambient + 3.6C (Heat) over the entire course of the experiment. Temperature regimes were compared to the 22-year temperature average in the area. This dataset shows concentration of dissolved oxygen per treatment (Ambient, Heat) as the mean and confidence interval (CI) across all benthcosms per treatment (n=6).
    Keywords: Confidence interval; DATE/TIME; flowering; Kiel-Outdoor-Benthocosms; KOB; Mean values; MESO; Mesocosm experiment; Oxygen; Seagrass; Seasonality; Sea surface temperature rise; thermal tolerance; Treatment; winter warming; Zostera marina
    Type: Dataset
    Format: text/tab-separated-values, 1656 data points
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