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  • Data set of DLV code and simulation algorithms of ProPrivacy
    Data Types:
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    • File Set
  • Data set for 'SPACE SYNTAX AND THE HISTORIC URBAN CORE OF ŁÓDŹ' article Author: Mariusz Lamprecht, PhD, Institute of the Built Environment and Spatial Policy, Faculty of Geographical Sciences, University of Łódź mariusz.lamprecht@geo.uni.lodz.pl
    Data Types:
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    • Software/Code
    • Geospatial Data
    • Tabular Data
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  • Title of article: Hidden properties of city plans. A case study of Łódź Author: Mariusz Lamprecht, PhD, Institute of the Built Environment and Spatial Policy, Faculty of Geographical Sciences, University of Łódź mariusz.lamprecht@geo.uni.lodz.pl The set of data presented in the article in figures 3-12 (shp files).
    Data Types:
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    • Software/Code
    • Geospatial Data
    • Tabular Data
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  • There is a perpetual challenge of nurse retention in rural areas in many countries and has major consequences on the accessibility of health services in rural areas. The focus of the study will be in central Alberta. The purpose of this research is to identify the factors that affect nurse retention and how the organizational culture and academic preparation affect nurse retention in rural areas. Additionally, this exploration will be key in identifying strategies that may be utilized in dealing with the nurse retention. Mixed methodology will be utilized in this research including the following steps: a qualitative method comprising of initial set of interviews, followed by a survey from a larger sample of registered nurses who graduated within the last 2 years. The questions in the survey will be informed by the responses from the initial interviews. Literature review on rural nursing retention and recruitment challenge will be done on studies that have been done on this subject matter in other jurisdictions within rural and urban Canada. Gaps will be identified in the studies that have been done. Findings from the study will be shared with AHS for consideration and will inform the need for future studies in this subject area. Keywords: retention and recruitment, organizational factors, academic factors, qualitative themes, qualitative data, mixed methodology
    Data Types:
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  • In this dataset we collect the Event Processing Language (EPL) patterns used in this work, as well as some screenshots of the proposed system, MEdit4CEP-SP. EPL > pattern.epl contains all the patterns for the situations described on the paper (AnomalyReadingErrors, AnomalyWaterLeaks and AnomalyUnusualConsumption). Screenshots > reading-errors-pattern.png shows the graphical model, in the editor, of the pattern AnomalyReadingErrors described on the paper. Screenshots > water-leaks-pattern.png shows the graphical model, in the editor, of the pattern AnomalyWaterLeaks described on the paper. Screenshots > unusual-consumption-pattern.png shows the graphical model, in the editor, of the pattern AnomalyUnusualConsumption described on the paper. Screenshots > pattern-changes-alert.png shows the alert that the editor triggers when an existing pattern has been updated. Screenshots > pattern-remove-backup.png shows the dialog to select the folder where the removed existing pattern is going to be exported.
    Data Types:
    • Other
    • Image
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  • Nuclear Magnetic Resonance (1D 1H and 2D 1H-1H TOCSY) and ultrahigh resolution mass spectrometry (FT-ICR-MS) data for pyrogenic dissolved organic matter before and after photo-irradiation. Full materials and methods, as well as interpretations, can be found in the linked manuscript.
    Data Types:
    • Slides
    • Tabular Data
    • Dataset
  • Raman spectroscopy can effectively analyze submicron- to microsized microplastics, but Raman spectra of weathered microplastics vary and are often affected by fluorescence. A Raman database of weathered microplastics (RDWP) is necessary for accurately identifying microplastics in various environments. We used Raman spectra of weathered microplastics from sediments around waste plastics processing and recycling industries in Laizhou City, Shandong Province, to build the RDWP.  This dataset contains 20 Raman spectra of standard samples and 155 Raman spectra of weathered microplastics. 135 Raman spectra of weathered microplastics can be identified. Among these 135 Raman Spectra, we selected 124 spectra with distinct peaks to build the Raman database of weathered microplastics (RDWP). The KnowItAll Informatics System 2018 (Bio-Rad Laboratories) was used to analyze the Raman spectra. The software can perform spectral searches, spectral identification, functional group analysis, etc., and has spectral data management, allowing users to build spectral databases by themselves. First, the spectra of the standards are built as a Raman Database of Standard Microplastics (RDSP) separately in KnowItAll. Then, the RDSP is used as one of the searched databases, and the spectra of weathered microplastics are matched and identified. Finally, the spectra of weathered microplastics are built as the Raman database of weathered microplastics (RDWP).
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    • Text
  • The uploaded dataset contains monthly time-series of the index numbers (base 2010) of the Italian current confidence indicator and the Italian future confidence indicator from January 2014 to March 2020. Each time series is composed of 75 values (72 valid data and 3 missing data for the time interval July 2017 – December 2017). The current confidence index measures the judgment of the present economic situation of Italy and families, current opportunity for saving and purchasing durable goods and family financial budget, on the other hand the future confidence index measures the expectation regarding the above-mentioned variables including unemployment. A joint assessment of both indexes can offer a very interesting interpretation referred to the optimistic (current index lower than the future one) or pessimistic (current index greater than the future one) state of the population. The source of these datasets is the official website of Italian Institute of Statistics (http://dati-congiuntura.istat.it/?lang=en&SubSessionId=c419585c-c3e5-4408-9423-14ce999a6dcd).
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  • SUMMARY Mimicry is ubiquitous in nature, yet understanding its origin and evolution is complicated by the scarcity of exceptional fossils that enable behavioural inferences about extinct animals. Here we report bizarre true bugs (Hemiptera) that closely resemble beetles (Coleoptera) from mid-Cretaceous amber. The unusual fossil bugs are described as Bersta vampirica gen. et sp. nov. and B. coleopteromorpha gen. et sp. nov., and are placed into a new family, Berstidae fam. nov. The specialised mouthparts of berstids indicate that they were predaceous on small arthropods and their striking beetle-like appearance implies that they mimicked beetles to attack unsuspecting prey; this unique association is not seen among extant insects and represents the first case of aggressive mimicry in the invertebrate fossil record. This rare example of fossilised behaviour enriches our understanding of the palaeoecological associations and extinct behavioural strategies of Mesozoic insects.
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    • Software/Code
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    • Document
    • Text
  • 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.
    Data Types:
    • Other
    • Dataset
    • Document
    • Text