data.md

Items table

ProjectID DOI ItemType

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ARC Grant ID or similar Digital object identifier Dataset, Article, Report LP0990134 10.1016/j.atmosenv.2011.05.004 Article

Participants table

PersonID ProjectID

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Internal on ACEMS page ARC Grant ID or similar sam-clifford LP0990134

Authorship table

PersonID DOI

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sam-clifford 10.1016/j.atmosenv.2011.05.004

Projects table

ProjectID Funding amount Start date End date

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ARC Grant ID or similar $
LP0990134 774000 2010-10-25 2014-12-31

People table (maybe already in reportal)

PersonID ORCID Other attributes

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sam-clifford 0000-0002-3774-3882

We then discussed the data sources that we have access to.

In terms of open data, we discussed:

• Australian Flights Data
• Australian Road Deaths
• UK police data: UKpolice R package, UK police data website
• Pedestrian count data in Melbourne
• E atlas data

We then discussed the different datasets that we each work with

• Earl Duncan:

  • Cancer Registry data (private data, cannot share - simulated data is available for use)
    • Each row is aggregated at the SA2 level, for the number of people with cancer, and diagnosis of cancer, and other demographic
    • ABS data: Population estimates for each area + shapefiles

• Jia

  • Canadian temperature data
  • Berkeley Growth data: heights of boys + girls in California (available online)
  • Google flu trends data (available online)
  • Fruit fly data (available online)
    • birth rate of fruit flies + different experimental conditions (diff flies fed different things)
  • Gene data for different expressions (Available online)
    • Different conditions for different people
  • Traffic data (possibly cannot share)
    • Speed, flow, density, and flow of cars in Melbourne

• Terun

  • Dengue Fever data (private data)
    • Number of dengue fever cells in a particular cell culture
    • Trying to estimate the number viruses in a particular cell culture
  • Patient level data, and their immunoglobolin response to a virus
    • Collected from patients who are affected by Dengue

• Arthur

  • Growth measurement of children(need permission to use it, but it is possible to access)
    • SES info, height, weight
    • Interested in the incident of Diahorrea
    • Global Health Analytic platform (GHAP)
    • R packages which have data

• Sam Clifford

  • Coral Reef data (coral data, from 1990s - Now)
    • Virtual Reef
    • http://virtualreef.org.au/api/vw\_ElicitationsCompleted
  • Citizen science coral reef data (possibly available for sharing)
    • Pointed camcorder at the sea floor and recorded
    • Derived estimates of the amount of the coral and other things
    • Other data available from this project:
      • Each row has a grid location and contains the raw data
      • Professional survey data
      • User provided data
      • Grid of locations
      • Available via a JSON feed.
      • 24,040 instances of an individual point in an image
  • Air quality data (could possible be served up online)
    • QLD State GVT provides data
    • Possibly discuss other datasets of use
      • Airquality measurement
      • https://github.com/maelle/usaqmindia
      • https://github.com/ropensci/ropenaq

• Andrés

  • Anomaly detection
  • Powerline data
    • Report available as PDF
    • Data available as separate files, but the main data package is the Gen3i files
      • When fires might start from the powerlines
      • Data taken from department of conservation, can download from online, but Uses a proprietary file format
    • Performances of groups
      • League of Legends data - Game level data
        • Every minute, what every player has done (Moved to position, killed other player)
        • Summary of a game
        • Tools for including include:
          • Public API for accessing the data
          • R Riot LoL,
          • Game On Python
          • RioNet.
    • Testing algorithms (classification, optimisation)
      • Collect features of each dataset E.g., the number of classes in iris dataset
      • Collected data from University of California Irvine
      • machine learning data and OpenML.
        • Which contains many datasets, mostly used for benchmarking
        • Collates the features from the datasets. These are saved into a dataset, (number offeatures, what models was used)

• Tom

  • Olliveti faces dataset (available online) - 400 images - 10 reps for each individual - Grayscale - Used to develop image recognition - Could be interesting to access the different images data

• Rhys

  • Bitcoin Data