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  • This open-access data comprises the twenty-six shapefiles necessary to visualise and analyse our glacial geomorphological map on a geographical information system (such as ArcGIS) (folder 01). All shapefiles are georeferenced in the WGS84 geographic reference coordinate system. Each of the 25 data folders comprise 7 file formats: .shp , .cpg , .dbf , .prj , .sbn , .shx , and Adobe Illustrator Tsume File (.sbx). To enable an easier download process, if required, we also provide the 26 shapefiles in .shp format only, together in folder 02. We further provide a table with recommended RGB colours per shapefile to enable optimum visualisation (folder 03). Please cite original publication when using and/or referring to these data.
    Data Types:
    • Software/Code
    • Geospatial Data
    • Image
    • Dataset
    • File Set
  • EPANET models and corresponding information needed to formulate the problem of optimal placement and control of valves and chlorine boosters in water networks for case studies used in "Tightened Polyhedral Relaxations of a Non-Convex Mixed Integer Program for Optimal Placement and Control of Valves and Chlorine Boosters in Water Networks" by Filippo Pecci, Ivan Stoianov and Avi Ostfeld (2020). Acknowledgments: Filippo Pecci and Ivan Stoianov are supported by EPSRC (EP/P004229/1, Dynamically Adaptive and Resilient Water Supply Networks for a Sustainable Future). Avi Ostfeld is supported by the Israel Science Foundation (grant No. 555/18).
    Data Types:
    • Geospatial Data
    • Tabular Data
    • Dataset
  • Unprocessed Data
    Data Types:
    • Slides
    • Dataset
  • Hydrological data (flow rates and piezometric levels), and physical-chemical (major ions and trace elements) and isotopic (δ18O, δ2H; and d-excess) analyses from rainwater, surface water and groundwater samples of a large sub-humid plain are presented. In total, 57 rainwater samples were collected on monthly basis using passive collectors installed at different altitudes (upper - 221 masl, middle - 145 masl and lower - 72 masl basin). Twelve surface water samples were obtained from three sampling sites located along the Del Azul Creek (upper basin - Site 1, middle basin - Site 2 and lower basin - Site 3) and from six wetlands which are located following the regional groundwater flow. Groundwater samples were sampled from 17 shallow boreholes (3 – 10 m, screened in their last meter) and 12 deep boreholes (30 m depth, screened between 25 and 30 m). In both surface water and groundwater sampling, superficial flow rates and piezometric levels were measured, and water samples for chemical and isotopic analyses were collected. Our data may improve the understanding of key hydrological processes controlling the water movement, and the chemical composition and chemical quality of water (i.e. arsenic, fluoride, nitrate, sulphate, alkalinity contents) in a large sub-humid agricultural plain. Please do not hesitate to contact María Emilia Zabala (mzabala@ihlla.org.ar) (Intituto de Hidrología de Llanuras “Dr. Eduardo J. Usunoff”, Argentina) and Ricardo Sánchez-Murillo (ricardo.sanchez.murillo@una.cr) (Universidad Nacional, Heredia, Costa Rica) for further information regarding this data collection.
    Data Types:
    • Geospatial Data
    • Tabular Data
    • Dataset
  • Background. Downs syndrome (DS) is the commonest of the congenital genetic defects. Its incidence has been rising in recent years for unknown reasons. Objective. Investigate the relationship of DS to substance- and cannabinoid- exposure; and causality. Methods. Observational ecological population-based epidemiological study 1986-2016. Analysis performed January 2020. Geotemporospatial and causal inference analysis. Participants: Patients were diagnosed with DS and reported to state based registries; collated nationally. Data source: annual reports of National Birth Defects Prevention Network of Centres for Disease Control. Exposures: Drug exposure was taken from the National Survey of Drug Use and Health (NSDUH) conducted annually by Substance Abuse and Mental Health Services Administration. Nationally representative sample 67,000 participants annually. Drug exposures: cigarette consumption, alcohol abuse, analgesic/opioid abuse, cocaine use and last month cannabis use. Ethnicity and median household income: US Census Bureau. Maternal age of childbearing: CDC births registries. Cannabinoid concentrations: Drug Enforcement Agency seizures. Results. NSDUH report 74.1% mean annual response rate. All other data was population-wide. DS rate (DSR) was noted to be rising over time, cannabis use, and cannabis-use quintile. In the optimal geospatial model lagged to four years terms including Δ9-tetrahydrocannabinol and cannabigerol were significant (from β-est.=4189.96 (95%C.I. 1924.74, 6455.17), P=2.9x10-4). Ethnicity, income, and maternal age covariates were not significant. DSR in states where cannabis was not illegal was higher than elsewhere (β-est.=2.160 (1.5, 2.82), R.R.=1.81 (1.51, 2.16), P=4.7x10-10). In inverse probability-weighted mixed models terms including cannabinoids were significant (from β-estimate=18.82 (16.82, 20.82), P<0.0001). EValues in geospatial models ranged up to infinity. Conclusions. Our data show that the association between DSR and substance- and cannabinoid- exposure is robust to multivariable geotemporospatial adjustment, implicate particularly cannabigerol and Δ9-tetrahydrocannabinol, and fulfil causal crietria. Cannabis legalization was associated with elevated DSR’s. These findings are consistent with those from Hawaii, Colorado, Canada and Australia and concordant with several cellular mechanisms. Given that the cannabis industry is presently in a rapid growth-commercialization phase the present findings linking cannabis use with megabase scale genotoxicity suggest unrecognized DS risk factors, are of public health importance and suggest that re-focussing the cannabis debate on multigenerational and intergenerational health concerns is prudent.
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Tabular Data
    • Dataset
  • Phylogenetic tree for the subfamily Luciolinae. The maximum likelihood (ML) method was applied using randomized axelerated maximum likelihood (RAxML) ver. 8.0.24 (Stamatakis 2014), which was incorporated into the cyberinfrastructure for phylogenetic research (CIPRES) Portal ver. 3.1 (Miller et al. 2010).
    Data Types:
    • Slides
    • Dataset
  • Three extreme danger scenarios were designed, and the TruckSim and Simulink software co-simulation was used to obtain the motion data of heavy-duty vehicles under the anti-rollover motion planning, so as to verify the effectiveness of the algorithm.
    Data Types:
    • Other
    • Slides
    • Image
    • Dataset
    • Document
  • Original blots for figures in manuscript
    Data Types:
    • Slides
    • Dataset
  • Background: Cardiovascular anomalies are the largest group of congenital anomalies and the major cause of death in young children, with a range of data linking rising atrial septal defect incidence (ASDI) with prenatal cannabis exposure. Objectives / Hypotheses. Is cannabis associated with ASDI in USA? Is this relationship causal? Methods: Geospatiotemporal cohort study, 1991-2016. Census populations of adults, babies, congenital anomalies, income and ethnicity. Drug exposure data on cigarettes, alcohol abuse, past month cannabis use, analgesia abuse and cocaine taken from National Survey of Drug Use and Health (78.9% response rate). Cannabinoid concentrations from Drug Enforcement Agency. Inverse probability weighted (ipw) regressions. Analysis conducted in R. Results. ASDI rose nationally three-fold from 27.4 to 82.8 / 10,000 births 1991-2014 during a period when tobacco and alcohol abuse were falling but cannabis was rising. States including Nevada, Kentucky, Mississippi and Tennessee had steeply rising epidemics (Time: Status β-estimate=10.72 (95%C.I. 8.39-13.05), P1.5. Conclusions. ASDI is associated with cannabis use, frequency, intensity and legalization in a spatiotemporally significant manner, robust to socioeconomicodemographic adjustment and fulfilled causal criteria, consistent with multiple biological mechanisms and similar reports from Hawaii, Colorado, Canada and Australia. Not only are these results of concern in themselves, but they further imply that our list of the congenital teratology of cannabis is as yet incomplete, and highlight the particular cardiovascular toxicology of prenatal cannabinoid and drug exposure.
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Tabular Data
    • Dataset
  • Hardware design for build a Step Width System Capture
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Image
    • Sequencing Data
    • Tabular Data
    • Dataset
    • Document
    • Text
    • File Set
    • Audio