Filter Results
4013 results
  • The dataset consists of the results of a water sample laboratory analyses for the 10-year span (where available), collected between 9. Nov. 2009 - 7. Nov. 2019. The results were obtained by following standards: temperature DIN 38404-4:2000, pH ISO 1052:20123, electric conductivity EN 27888:1998, sulfate concentration ISO 10304-1:2007, chloride concentration ISO 10304-1:2007, total hardness (°N): ISO 17294-2:2005, Ca ISO 17294-2, Mg ISO 17294-2, Na ISO 17294-2, K ISO 17294-2, Al ISO 17294-2:2003. During the years, several different certified laboratories were involved in regular testing of the water samples, hence not all parameters are always available.
    Data Types:
    • Geospatial Data
    • Dataset
    • Document
    • Text
  • Objectives: Define the role of increasing cannabis availability on population mental health (MH). Methods. Ecological cohort study of National Survey of Drug Use and Health (NSDUH) geographically-linked substate-shapefiles 2010-2012 and 2014-2016 supplemented by five-year US American Community Survey. Drugs: cigarettes, alcohol abuse, last-month cannabis use and last-year cocaine use. MH: any mental illness, major depressive illness, serious mental illness and suicidal thinking. Data analysis: two-stage and geotemporospatial methods in R. Results: 410,138 NSDUH respondents. Average response rate 76.7%. When all drug exposure, ethnicity and income variables were combined in final geospatiotemporal models tobacco, alcohol cannabis exposure, and various ethnicities were significantly related to all four major mental health outcomes. Cannabis exposure alone was related to any mental illness (β-estimate= -3.315+0.374, P<2.2x10-16), major depressive episode (β-estimate= -3.712+0.454, P=3.0x10-16), serious mental illness (SMI, β-estimate= -3.063+0.504, P=1.2x10-9), suicidal ideation (β-estimate= -3.013+0.436, P=4.8x10-12) and with more significant interactions in each case (from β-estimate= 1.844+0.277, P=3.0x10-11). Geospatial modelling showed a monotonic upward trajectory of SMI which doubled (3.62% to 7.06%) as cannabis use increased. Extrapolated to whole populations cannabis decriminalization (4.35+0.05%, Prevalence Ratio (PR)=1.035(95%C.I. 1.034-1.036), attributable fraction in the exposed (AFE)=3.28%(3.18-3.37%), P<10-300) and legalization (4.66+0.09%, PR=1.155(1.153-1.158), AFE=12.91% (12.72-13.10%), P<10-300) were associated with increased SMI vs. illegal status (4.26+0.04%). Conclusions: Data show all four indices of mental ill-health track cannabis exposure and are robust to multivariable adjustment for ethnicity, socioeconomics and other drug use. MH deteriorated with cannabis legalization. Together with similar international reports and numerous mechanistic studies preventative action to reduce cannabis use-exposure is indicated.
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Tabular Data
    • Dataset
  • Movement data and scripts
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Image
    • Dataset
  • Cavitation inside fuel injection nozzles affects the atomization process of injected liquids. It is necessary to understand and model the process for realizing an appropriate injection strategy for an efficient combustion. As the nature of the fuel injector, it has contraction, divergent and bending parts from small to large scale. These geometrical characteristics of the nozzle have an effect on the cavitation phenomena even if it is kind of a small manufacturing variation. However, a simultaneous contained database for the transient cavitation structure especially inside the real-scale nozzle and the nozzle geometry has not been established well. Therefore, parametric investigations have been done on our manufactured transparent nozzles. And the results will be shared step by step for the cavitation model evaluations and developments. In this database, the results in below on each nozzle are uploaded. 1. High speed imaging of the transient cavitation structure. 2. Nozzle geometry which modified as close as the measured shape. 3. Samples of mesh files and simulation results (PDF). The purpose of this database is to provide the data to someone who intends to understand and model the cavitation phenomena. This research work is financially supported by German Research Foundation (Deutsche Forschungsgemeinschaft, DFG) within the project DI 591/29-1. First of all, please read "About_this_database.pdf".
    Data Types:
    • Other
    • Geospatial Data
    • Image
    • Dataset
    • Document
  • This study aimed to investigate the associations between teachers’ flourishing at work, their perceived stress, their strategies to deal with stress, and their intention to leave their jobs. A convenience sample of teachers (n = 209) in South Africa participated in a survey. The Flourishing at Work Scale – Short Form, Perceived Stress Scale, Brief COPE Inventory, and Workplace Evaluation Questionnaire were administered.
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Dataset
    • Document
    • Text
  • This study aimed to investigate the relationships between job crafting, psychological need satisfaction/frustration, thriving, and job insecurity of academics in higher education institutions. A survey with a convenience sample of 276 academic staff at three higher education institutions in South Africa was used. The participants completed the Job Crafting Scale, Basic Psychological Need Satisfaction and Frustration Scale, High-Performance Human Resource Practices Questionnaire, and Thriving at Work Scale.
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Dataset
    • Document
    • Text
  • This dataset presents the hiking and climbing opportunities diversity existent at Serra dos Órgãos National Park, Brazil, collected using participatory mapping approaches (Voluntary Geographic Information, Public Participation in Geographic Information Systems and secondary sources). Each trail on the park’s network was classified according to trail management categories. The dataset includes two files: the excel inventory and the KMZ. Data in Portuguese.
    Data Types:
    • Geospatial Data
    • Tabular Data
    • Dataset
  • Research objectives: This study aims to determine the geological and geotechnical characteristics of an anthropogenic deposit, which consists of a construction and demolition waste landfill. Method overview: The method encompassed: mapping, with a sample collection was carried out; determinations of soil penetration resistance, with a dynamic penetrometer, which was used to determine the penetration resistance of the surface layers of the landfill and surrounding natural material areas; hydraulic conductivity determination; electrical resistivity property using geophysics and particle size analysis. The following data items were made available: 1. Geophysics: They content a list of apparent resistivity due to the heterogeneity of the medium. For the survey, five parallel lines were used. 2. Hydraulic conductivity: It contents a list with the results of measuring the water´s lowering speed. 3. Dynamic Penetrometer: They content a list of the penetration of the cone (centimeter) measured after each blow, for a total of 32 points. 4. Granulometric analyses: They content a list with the result of the complete granulometric analyses.
    Data Types:
    • Geospatial Data
    • Tabular Data
    • Dataset
  • Transport costs can play a significant role in agricultural exports and businesses profitability. It can also influence farmers’ decisions regarding cropland expansion, intensification or land abandonment. Thus, transport is useful to take into account when modeling and evaluating land use and cover change related to agriculture production. The dataset described in this article represents the Infrastructure Capital in the work presented by Millington et al (2020), in which the CRAFTY-Brazil model is used to evaluate the impacts of changing global demand for agricultural products on land use and cover change. This modeling required a transport cost dataset that spanned the model calibration period, was consistent through time and covered the entire study area. The mos recent road network (for year 2017) obtained in vector format (shapefile) was joined to road section surface status tables for past years (2000, 2005 and 2010) in order to reconstruct the historic road network. Export ports hadling agricultural commodities, and their years of operation, were identified. Both datasets were used to derive the relative transport cost to the nearest port for Brazil, for years 2000, 2005, 2010 and 2017.
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Image
    • Tabular Data
    • Document
    • Text
    • File Set
  • RAMAS data
    Data Types:
    • Other
    • Geospatial Data
    • Dataset
3