dataaimsr: An R Client for the Australian Institute of Marine Science Data Platform API which provides easy access to AIMS Data Platform

In 2003, the Romanian National Institute of Meteorology and Hydrology inaugurated National Integrated Meteorological System (SIMIN), consisting of a network of stations and instruments for measurement and detection of hydro and meteorological data, a specialized communication network, a forecasting network, and a dissemination network. With a setup cost of $55 million and a national priority role, SIMIN (implemented by Lockheed Martin) is relatively black boxed even today, using proprietary technology and software. Few institutions have direct access to the data it provides. In this paper, we present the design of a web-based software application built on open source software that allows easy access to and processing of data available in SIMIN.

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Promoting Global Sharing of Earth System Science Data Through Free and Open Access Data Publication

10.31219/osf.io/cq9rz ◽

2020 ◽

Author(s):

David Carlson ◽

Kirsten Elger ◽

Ge Peng ◽

Johannes Wagner ◽

Jens Klump

Keyword(s):

Open Access ◽

Quality Data ◽

Easy Access ◽

Earth System ◽

Science Data ◽

Earth System Science ◽

System Science ◽

Data Publication ◽

Open Access Data ◽

Access Data

In less than one decade the open-access data journal Earth System Science Data (ESSD, a member of the Copernicus Open Access Publisher family) grew from a start-up venture into one of the highest-rated journals in global environmental science. Stimulated by data needs of the International Polar Year 2007-2008, ESSD now serves a very broad community of data providers and users, ensuring that users get free and easy access to quality data products and that providers gain full public credit for preparing, describing and sharing those products. Adopting technology and practices from research journals, ESSD moved data publication from an abstract concept to a working enterprise; several publishers now support similar data-sharing journals. As it confronts increasing challenges and barriers, ESSD serves as a prominent voice for and an example of emphatic fully-free fully-open global data access. Data journals such as ESSD clearly meet a strong community need.

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Williams, William Thomas, (18 April 1913–15 Oct. 1995), with Australian Institute of Marine Science, Cape Ferguson, Townsville, 1980–85; pianoforte teacher (LMus Australia), since 1973

10.1093/ww/9780199540884.013.u176281 ◽

2007 ◽

Keyword(s):

Marine Science ◽

Australian Institute

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A Hybrid Recommendation System for Marine Science Observation Data Based on Content and Literature Filtering

Sensors ◽

10.3390/s20226414 ◽

2020 ◽

Vol 20 (22) ◽

pp. 6414

Author(s):

Xiaoyang Song ◽

Yonggang Guo ◽

Yongguo Chang ◽

Fei Zhang ◽

Junfeng Tan ◽

...

Keyword(s):

Recommendation System ◽

Observation Data ◽

Marine Science ◽

Data Correlation ◽

Science Data ◽

Filtering Algorithms ◽

Valuable Data ◽

Data Similarity ◽

Recommendation Algorithms ◽

Hybrid Recommendation

With the development of ocean exploration technology and the rapid growth in the amount of marine science observation data, people are faced with a great challenge to identify valuable data from the massive ocean observation data. A recommendation system is an effective method to improve retrieval capabilities to help users obtain valuable data. The two most popular recommendation algorithms are collaborative filtering algorithms and content-based filtering algorithms, which may not work well for marine science observation data given the complexity of data attributes and lack of user information. In this study, an approach was proposed based on data similarity and data correlation. Data similarity was calculated by analyzing the subject, source, spatial, and temporal attributes to obtain the recommendation list. Then, data correlation was calculated based on the literature on marine science data and ranking of the recommendation list to obtain the re-rank recommendation list. The approach was tested by simulated datasets collected from multiple marine data sharing websites, and the result suggested that the proposed method exhibits better effectiveness.

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Toward an open-access of high-frequency lake modelling and statistics data for scientists and practitioners. The case of Swiss Lakes using Simstrat v2.1

10.5194/gmd-2018-336 ◽

2019 ◽

Cited By ~ 1

Author(s):

Adrien Gaudard ◽

Love Råman Vinnå ◽

Fabian Bärenbold ◽

Martin Schmid ◽

Damien Bouffard

Keyword(s):

Open Access ◽

High Frequency ◽

Thermal Structure ◽

Regional Scale ◽

Easy Access ◽

Strong Wind ◽

Long Term Effects ◽

Output Data ◽

Data Platform ◽

Wind Events

Abstract. One-dimensional hydrodynamic lake models are nowadays widely recognized as key tools. They offer the possibility to study processes at high frequency, here referring to hourly time scale, to analyse scenarios and test hypothesizes. Yet, simulation outputs are mainly used by the modellers themselves and often not easily reachable for the outside community. We have developed an openly accessible web-based platform for visualization and promotion of easy access to lake model output data updated in near real time (https://simstrat.eawag.ch/). This platform was developed for 54 lakes in Switzerland with potential for adaptation to other regional areas or even at global worldwide scale using appropriate forcing input data. The benefit of this data platform is here practically illustrated with two examples. First we show that the output data allows for assessing the long term effects of past climate change on the thermal structure of a lake. In the second case, we demonstrate how the data platform can be used to study and compare the role of episodic strong wind events for different lakes on a regional scale and especially how they temporary destabilize their thermal structure. With this open access data platform we demonstrate the path forward for scientists and practitioners promoting a cross-exchange of expertise through openly sharing of in-situ and model data.

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Coral ID CD-ROM by John “Charlie” Veron and Mary Stafford Smith (2002), Australian Institute for Marine Science. See http://www.aims.gov.au/coralid for pricing and availability.

Oryx ◽

10.1017/s003060530323043x ◽

2003 ◽

Vol 37 (2) ◽

pp. 263-263 ◽

Cited By ~ 18

Keyword(s):

Marine Science ◽

Cd Rom ◽

Australian Institute

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Good, bad or ugly: all a matter of perspective?

The APPEA Journal ◽

10.1071/aj18280 ◽

2019 ◽

Vol 59 (2) ◽

pp. 632

Author(s):

Jane Lovell

Keyword(s):

Significant Benefit ◽

Marine Resources ◽

Commercial Fishing ◽

Marine Science ◽

Open Communication ◽

The Core ◽

Australian Institute ◽

Seafood Industry ◽

Australian Economy ◽

Industry Associations

Seafood Industry Australia (SIA) is the national peak body that represents the Australian seafood industry as a whole, including members from wild catch, aquaculture and post-harvest sectors. According to the Australian Institute of Marine Science (AIMS), the fishing and petroleum industries represent a combined contribution to the Australian economy of ~AU$28.5 billion (in 2015–2016) and employ (directly and indirectly) over 55000 Australians.1 At times, our industries’ interests have competed. However, we recognise that we can unlock value for the economy, and those who work in our industries, by finding effective ways to work together. In 2014, a Memorandum of Understanding (MOU) was signed between five commercial fishing and seafood industry associations and APPEA. This MOU committed to the core principles of improved cooperation, open communication and stronger consultation. There is significant benefit for both industries in learning how to improve shared access to marine resources, whether at the early stages of petroleum activities (e.g. seismic) or at the end of an asset’s life (e.g. decommissioning). This presentation will look at efforts to improve relationships between our two industries and make observations about potential ways forward.

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