|Project Name||Stars||Downloads||Repos Using This||Packages Using This||Most Recent Commit||Total Releases||Latest Release||Open Issues||License||Language|
|Vuego Demoapp||94||2 years ago||1||November 25, 2021||1||mit||Vue|
|Simple Golang and Vue.js SPA demo for deploying to Azure, Docker etc|
|Rosetta_home||63||4 years ago||3||apache-2.0||Elm|
|Rosetta Home 2.0 is an open source building performance monitoring platform|
|Home Assistant Custom Components Burze.dzis.net||32||4 months ago||1||mit||Python|
|This integration uses official API to get weather warnings for Poland and storm warnings for Europe from https://burze.dzis.net.|
|Go Bees||29||3 years ago||20||gpl-3.0||Java|
|Android app for monitoring bee hives activity.|
|Grafana Weathermap Panel||26||2 years ago||1||apache-2.0||TypeScript|
|plugin weathermap for Grafana. This project is still in development.|
|Raspberry_pi_temperature||19||8 years ago||gpl-2.0||Python|
|Raspberry Pi Temperature Monitoring|
|Prometheus Weathermen||15||a day ago||2||apache-2.0||Rust|
|A prometheus exporter for weather data|
|Wecko||14||8 years ago||1||Python|
|A weather monitoring Dashboard built upon Python and Yahoo API|
|Conky_blue||11||11 years ago||Lua|
|M Script||10||4 years ago||Shell|
|Server monitoring & management solution made the Unix way|
Barneche DR, Coleman G, Fermor D, Klein E, Robinson T, Smith J, Sheehan JL, Dowley S, Ditton D, Gunn K, Ericson G, Logan M, Rehbein M (2021). dataaimsr: An R Client for the Australian Institute of Marine Science Data Platform API which provides easy access to AIMS Data Platform. Journal of Open Source Software, 6: 3282. doi: 10.21105/joss.03282.
The Australian Institute of Marine Science (AIMS) has a long tradition
in measuring and monitoring a series of environmental parameters along
the tropical coast of Australia. These parameters include long-term
record of sea surface temperature, wind characteristics, atmospheric
temperature, pressure, chlorophyll-a data, among many others. The AIMS
Data Centre team has recently developed the AIMS Data Platform
API which is a REST API
providing JSON-formatted data to users.
dataaimsr is an R package
written to allow users to communicate with the AIMS Data Platform API
using an API key and a few convenience functions to interrogate and
understand the datasets that are available to download. In doing so, it
allows the user to fully explore these datasets in R in whichever
capacity they want (e.g. data visualisation, statistical analyses, etc).
The package itself contains a
plot method which allows the user to
plot summaries of the different types of dataset made available by the
API. Below we provide a brief context about the existing
Datasets that can be explored through
AIMS Data Platform requires an API Key for data requests, get a key here.
The API Key can be passed to the package functions as an additional
api_key = "XXXX" argument. However, we strongly encourage users to
maintain their API key as a private locally hidden environment variable
AIMS_DATAPLATFORM_API_KEY) in the
.Renviron file for automatic
loading at the start of an R session. Please read this
which details why keeping your API private is extremely important.
Users can modify their
.Renviron file by adding the following line:
.Renviron file is usually stored in each users home directory:
|System||.Renviron file locations|
|Linux / MacOs||
|Release||CRAN||Not yet available|
# assumes that user already has API key saved to # .Renviron library(dataaimsr) # summarised by series # for all sites that contain data # within a defined date range sdf_b <- aims_data("temp_loggers", api_key = NULL, summary = "summary-by-series", filters = list("from_date" = "2018-01-01", "thru_date" = "2018-12-31")) # downloads weather data from site Yongala # within a defined date range wdf_a <- aims_data("weather", api_key = NULL, filters = list(site = "Yongala", from_date = "2018-01-01", thru_date = "2018-01-02"))
More comprehensive examples about how to navigate
interrogate the datasets can be found on our online
Currently, there are two AIMS long-term monitoring datasets available to
be downloaded through
Automatic weather stations have been deployed by AIMS since 1980. Most of the stations are along the Great Barrier Reef (GBR) including the Torres Strait in North-Eastern Australia but there is also a station in Darwin and one at Ningaloo Reef in Western Australia. Many of the stations are located on the reef itself either on poles located in the reef lagoon or on tourist pontoons or other structures. A list of the weather stations which have been deployed by AIMS and the period of time for which data may be available can be found on the metadata webpage. NB: Records may not be continuous for the time spans given.
The data provided here are from a number of sea water temperature monitoring programs conducted in tropical and subtropical coral reefs environments around Australia. Data are available from approximately 80 GBR sites, 16 Coral Sea sites, 7 sites in North West Western Australia (WA), 8 Queensland regional ports, 13 sites in the Solitary Islands, 4 sites in Papua New Guinea and 10 sites in the Cocos (Keeling) Islands. Data are obtained from in-situ data loggers deployed on the reef. Temperature instruments sample water temperatures every 5-10 minutes (typically) and are exchanged and downloaded approximately every 12 months. Temperature loggers on the reef-flat are generally placed just below Lowest Astronomical Tide level. Reef-slope (or where specified as Upper reef-slope) generally refers to depths 5–9 m while Deep reef-slope refers to depths of ~20 m. For more information on the dataset and its usage, please visit the metadata webpage.
Please note that this package is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
Our R package logos use a watercolour map of Australia, obtained with the ggmap R package, which downloads original map tiles provided by Stamen Design, under CC BY 3.0, with data from OpenStreetMap, under CC BY SA.