AndreaBozzo/ceres-open-data-index huggingface dataset:
SES Local Flood Insights: Richmond and Wilsons Rivers

<b>NSW SES Local Flood Insights provides information about flooding in NSW communities.</b>

This tool offers an overview of flood-prone areas, historic flood events, and modelled flood risks through detailed maps, data and community stories. This website-based platform combines flood inundation mapping, photos and personal accounts from local residents about the impacts of past floods and ways to prepare for future floods. 

This information is useful to community members, travellers, or anyone wanting to learn more about local flooding. Explore NSW SES Local Flood Insights to make informed decisions about flood safety and preparedness. These local flood insights have been produced to help people understand and visualise flood risks within the Snowy River catchment and to support readiness of communities.

<b>This is an information tool only and not to be relied upon during a flood event or flood emergency. </b>

<b>For the latest information and warnings during a flood event or flood emergency, including evacuation information, please visit the </b><a href="https://www.ses.nsw.gov.au/"> <b>NSW State Emergency Service website</b> </a><b>, or download the Hazards Near Me app on </b><a href="https://apps.apple.com/au/app/hazards-near-me-nsw/id370891827"> <b>Apple</b> </a><b> and </b><a href="https://play.google.com/store/apps/details?id=au.gov.nsw.rfs.firesnearme.nsw&amp;hl=en_AU"> <b>Android</b> </a><b>.<i> </i></b>

Tags: Local Flood Insights, NSW SES
Organization: Spatial Services (DCS)
Reference Tables for TfNSW GTFS feeds

Reference tables for TfNSW data. A complete list of agencies and how they are defined in each GTFS feed.

<strong>Using Complete GTFS + Real-Time GTFS feeds</strong>  

The reference tables illustrates agencies that appear in multiple GTFS feeds. If you are using the Complete GTFS bundle in conjuction with the real-time GTFS feeds for each mode then you will need to filter out the Complete GTFS agencies and use the corresponding real-time agencies.

<strong>Turn Up and Go/Frequency Services</strong>  

High Frequency services run to an operational timetable as per the relevant GTFS bundles, however they will adjust to headway in response to operational requirements throughout the day. Therefore we recommend ignoring the delay information passed on in GTFS-R feeds for these routes, and only showing real-time arrival/departure times to customers.

<strong>Train Run Numbers</strong>  

The list of trips in the reference tables represent services that appear in both the Sydney Trains real-time feed and NSW Trains rural and regional real-time feed. If you are using both feeds, TfNSW recommends filtering out these services from the Sydney Trains feed and preferentially using the NSW Trains feed.

Tags: GTFS guides, frequency services, gtfs r, gtfsr guides, headway, instructions, overlapping agencies, real-time, realtime reference tables, reference table, turn up and go
Organization: Transport for NSW
SES Local Flood Insights: Karuah and Myall Rivers

<b>NSW SES Local Flood Insights provides information about flooding in NSW communities.</b>

This tool offers an overview of flood-prone areas, historic flood events, and modelled flood risks through detailed maps, data and community stories. This website-based platform combines flood inundation mapping, photos and personal accounts from local residents about the impacts of past floods and ways to prepare for future floods. 

This information is useful to community members, travellers, or anyone wanting to learn more about local flooding. Explore NSW SES Local Flood Insights to make informed decisions about flood safety and preparedness. These local flood insights have been produced to help people understand and visualise flood risks within the Snowy River catchment and to support readiness of communities.

<b>This is an information tool only and not to be relied upon during a flood event or flood emergency. </b>

<b>For the latest information and warnings during a flood event or flood emergency, including evacuation information, please visit the </b><a href="https://www.ses.nsw.gov.au/"> <b>NSW State Emergency Service website</b> </a><b>, or download the Hazards Near Me app on </b><a href="https://apps.apple.com/au/app/hazards-near-me-nsw/id370891827"> <b>Apple</b> </a><b> and </b><a href="https://play.google.com/store/apps/details?id=au.gov.nsw.rfs.firesnearme.nsw&amp;hl=en_AU"> <b>Android</b> </a><b>.<i> </i></b>

Tags: Karuah River, Local Flood Insights, Myall River, NSW SES
Organization: Spatial Services (DCS)
Sediment and geophysical datasets from RV Investigator voyage IN2023_V01

Marine sediment and geophysical data were collected during the Marine National Facility (MNF) RV Investigator voyage IN2023_V01, titled “Antarctic Bottom Water production in the past: Records from marine sediments, Cape Darnley, East Antarctica.” The voyage was conducted between 25 January and 2 March 2023 (AEST), departing from Fremantle and returning to Hobart, with operations focused in the Cape Darnley region of East Antarctica.

The primary objective of the voyage was to reconstruct past Antarctic Bottom Water production using geological records preserved in marine sediments. Data collected include measurements from kasten and piston sediment cores, supporting sedimentological and geophysical analyses relevant to paleoceanographic and paleoclimate research.

These datasets contribute to improved understanding of sedimentary processes and deep-water formation in the Southern Ocean and are made discoverable through linked national data repositories and this archive.

Organization: CSIRO Marlin Data Catalogue
Coral fragment growth across temperatures (EcoRRAP)

Coral fragment growth for five common species (Acropora hyacinthus, Acropora tenuis, Pocillopora verrucosa, Stylophora pistillata, and Platygyra daedelea) was measured after chronic exposure to temperatures ranging from 19 to 31&ordm;C to quantify thermal-performance curves (TPCs). TPCs are an important tool to make predictions of how future changes in thermal regimes will affect organisms. 

Coral colonies were collected in March 2021 in Kelso Reef (-18.44&deg;, 146.99&deg;) (Acropora hyacinthus, Acropora tenuis, Pocillopora verrucosa, and Stylophora pistillata) and No Name Reef (-14.64&deg;, 145.64&deg;) (Acropora hyacinthus and Pocillopora verrucosa) and in March 2022 in Heron Island (-23.44&deg;, 151.91&deg;) (Acropora hyacinthus, Acropora tenuis, Pocillopora verrucosa, Platygyra daedelea, and Stylophora pistillata) and Davies Reef (-18.82&deg;, 147.64&deg;) (Acropora hyacinthus and Pocillopora verrucosa). Colonies were transported to the National Sea Simulator (SeaSim) in the Australian Institute of Marine Science.  Nine colonies per species were fragmented into ten small nubbins, each of which was randomnly assigned to a temperature (19, 21, 23, 25, 26, 27, 28, 29, 30, or 31&ordm;C ) and a tank. Each tank had three fragments per species, each from a different colony. All tanks were initially held at 28&ordm;C and temperatures were ramped up or down with a maximum daily change of 0.5&ordm;C until all tanks had reach their target temperatures within 19 days. Fragments were buoyant weighted at the beginning of the experiment and then every second week for six weeks.

Buoyant weight was converted to dry weight using Archimedes&#39; principle.

Organization: Australian Ocean Data Network
BRUVS surveys collected for the Barossa Environmental Baseline Study 2015, Western Australia (ConocoPhillips)

Stereo Baited Remote Underwater Video Stations (BRUVS) were deployed and retrieved across two shoals of regional interest, Evans and Tassie Shoals, two of the closest shoals to the Barossa field. The allocation of deployment positions across each shoal was conducted using a regular/random design within the bounds of the 60 m depth contour whilst maintaining a minimum distance of 250 m between each stereo-BRUVS unit. Once the positions were derived, the sequence of deployments, in sets of eight replicate units, was determined by proximity and prevailing sea conditions on the day. A total of 72 stereo-BRUVS deployments were conducted at Evans Shoal, and 23 deployments at Tassie Shoal

The BRUVS surveys were undertaken by the Australian Institute of Marine Science (AIMS) in collaboration with ConocoPhillips as part of the Barossa field environmental baseline and marine studies program. The surveys were undertaken between 13 September and 1 October 2015, on the RV Solander.  They covered five principle locations of regional interest, including Evans, Tassie and Blackwood Shoals, the closest shoals to the Barossa field, as well as two mid-shelf seabed locations adjacent to Goodrich Bank and Cape Helvetius, relevant to a potential gas export pipeline route.

Organization: Australian Ocean Data Network
IMOS - National Reef Monitoring Network Sub-Facility

The National Reef Monitoring Network brings together shallow reef surveys conducted around Australia into a centralised database. The IMOS National Reef Monitoring Network sub-Facility collates, cleans, stores and makes this data rapidly available from contributors including: Reef Life Survey, Parks Australia, Department of Biodiversity, Conservation and Attractions (Western Australia), Department of Environment, Water and Natural Resources (South Australia), Department of Primary Industries (New South Wales), Tasmanian Parks and Wildlife Service and Parks Victoria.

The data provided by the National Reef Monitoring Network contributes to establishing and supporting national marine baselines, and assisting with the management of Commonwealth and State marine reserves. 

Reef Life Survey (RLS) and the Australian Temperate Reef Network (ATRC) aims to improve biodiversity conservation and the sustainable management of marine resources by coordinating surveys of rocky and coral reefs using scientific methods, with the ultimate goal to improve coastal stewardship. Our activities depend on the skills of marine scientists, experienced and motivated recreational SCUBA divers, partnerships with management agencies and university researchers, and active input from the ATRC partners and RLS Advisory Committee.

RLS and ATRC data are freely available to the public for non-profit purposes, so not only managers, but also groups such as local dive clubs or schools may use these data to look at changes over time in their own local reefs. By making data freely available and through public outputs, RLS and ATRC aims to raise broader community awareness of the status of Australia’s marine biodiversity and associated conservation issues.

Organization: Australian Ocean Data Network
CCIP - COTS Control Innovation Project - D04 Project Field Data

Field data collected under the GBR Foundation CCIP Project D-04: The COTS Surveillance System (CSS): end-to-end technology for detection of reef pests using the ReefScan-Deep towed imaging platform. Data consists of geo-referenced images from a towed imaging platform from around the perimeter of sets of reefs along the GBR looking for images of COTS and Scars.

Most images were collected by AIMS staff going on COT Control trips with the Control Teams for a range of field trips. Images are used to train ML models of COTS, Scars and Benthic life forms.

Organization: Australian Ocean Data Network
NERP TE Project Maps - Areas of research activity, tracks and sites (NERP TE 13.1, AIMS)

This dataset describes the areas of research activities for the 38 National Environmental Research Program Tropical Ecosystem (NERP TE) Hub projects. It represents the areas that have field work being conducted, where measurements have been taken and where modelling or analysis is being done. 

It consists of three master shapefiles (points, lines and polygons) that capture the regions that are being studied by all these projects. These master shapefiles are also made available split by project.

The data contained in this dataset was compiled from June 2013 submissions from each of the NERP TE projects asking them to describe their areas being researched. They submitted this information in a range of formats including spreadsheet tables for site information (points) and bounding boxes, KMLs for study areas, transects and animal tracks (lines and polygons), raster files and for some simply a description of the region. All of these formats were converted, digitised or drawn into three shapefiles: one for points, one for polygons and one for lines. Each feature was given a description of the type of research or measurement that was being under taken at that location and a link to the associated project pages. Features were also classified to roughly group the type of research work being done at each location.

This data was originally intended to be part of the creation of detailed spatial data for the creation of metadata records describing each of the projects. It was also used for creating maps for each project. These maps are available for download and are available as WMS layers from the eAtlas.

The polygon features from the various projects overlap significantly and thus many boundaries are hidden with default styling. The order of the features within the shapefile has been chosen so that at least some part of each polygon is visible when all polygons are shown. 

This dataset is not a complete representation of the work being done by the NERP TE projects as it was collected only 2 years into a 3.5 year program. In addition to this some project have chosen to protect the exact location of sensitive sites and so have only provided coarse spatial information about the project.

This dataset is finished.

Location of the data:
This dataset is filed in the eAtlas enduring data repository at: data\custodian\2011-2014-NERP-TE\13.1_eAtlas\QLD_NERP-TE-13-1_eAtlas_Project-maps_2013

Change log:
2024-05-27 - Eric Lawrey: Marked this dataset as finished and added a reference to where it is stored in the eAtlas data repository.
2025-01-16 - Jared Johnston: Created polygons representing the spatial extents of the datasets.

Tags: marine
Organization: Australian Ocean Data Network
Aesthetic value of the Great Barrier Reef 2017 - data collection (NESP TWQ 3.2.3, Griffith Institute for Tourism Research)

This dataset resulted from two inter-linked research streams. The first stream was related to the application of eye-tracking technology and an online survey in studying natural beauty. The second stream is related to the development of an Artificial Intelligence (AI)-based system recognising and assessing the beauty of natural scenes. Due to differences in data collection and data analysis, details of research methods used for each research stream are described in three separated data records.

This record that describes the common elements and goals of the three parts to the research. 

Within these research streams, three datasets were developed. These include: 
Eye tracking - containing the outcome documents of eye-tracking experiment conducted within the project framework 
Online survey - includes a survey format document and three subfolders showing how each section of the survey was designed and outcome of each section (i.e. conjoint analysis, picture rating and open question) 
Algorithm data reflecting how a computer-based system for automated assessment of image attractiveness is developed

Format and methods:

The project dataset has multiple parts containing data of different formats and methods. Details of each dataset are discussed in the corresponding data records.

Data Dictionary:

See data dictionaries in the following data report forms:
Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Eye-tracking data report form, Griffith Institute for Tourism Research Report No 15.
Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Online survey data report form, Griffith Institute for Tourism Research Report No 15.
Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Algorithm data report form, Griffith Institute for Tourism Research Report No 15.

References:
Further information can be found in the following publication:

Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Monitoring aesthetic value of the Great Barrier Reef by using innovative technologies and artificial intelligence, Griffith Institute for Tourism Research Report No 15.
Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Eye-tracking data report form, Griffith Institute for Tourism Research Report No 15.
Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Online survey data report form, Griffith Institute for Tourism Research Report No 15.
Becken, S., Connolly R., Stantic B., Scott N., Mandal R., Le D., (2018), Algorithm data report form, Griffith Institute for Tourism Research Report No 15.

Data Location:

This dataset is filed in the eAtlas enduring data repository at: data\nesp3\3.2.3_Aesthetic-Values-GBR

Organization: Australian Ocean Data Network
IMOS - Satellite Remote Sensing - Surface Waves Sub-Facility - Gridded SAR wind - Delayed mode data

Sentinel-1 A, B and C satellites are part of Europe's Copernicus Earth Observation program and carry identical C-band Synthetic Aperture Radar (SAR) instruments. This dataset contains regularly gridded (0.01 x 0.01 deg) daily 10m neutral stability wind speed and direction derived from Sentinel-1 SARs in the wider Australian nearshore regions. In these regions, the satellites normally operate in interferometric wide (IW) swath mode. The winds are derived using a consistent geophysical model function (gmf), CMOD5N, and variational Bayesian inversion approach as proposed in Portabella et al. (2002) and Sentinel-1 Ocean wind (owi) algorithm definition document. The input SAR and model (ECMWF) data used in the inversion are sourced from owi Level-2 product, and the resulting derived winds are approximately at 1km horizontal spatial resolution as in the source product. Wind speeds are also calibrated against Metop-A and B scatterometer wind database of Ribal and Young, 2020 (JTECH). 

For each day, all available derived wind field swaths (available as separate wind product: IMOS - Satellite Remote Sensing - Surface Waves Sub-Facility - SAR wind - Delayed mode data) are combined and interpolated to a nominal 0.01 x 0.01-degree regular grid. The final data are thus arranged in a rectilinear grid with dimensions defined by TIME, LATITUDE and LONGITUDE.

The data represented by this record, are presented in delayed mode.

Tags: Global / Oceans | Indian Ocean, Global / Oceans | Pacific Ocean, Global / Oceans | Southern Ocean, Marine Features (Australia) | Great Australian Bight, SA/WA, Oceans | Ocean Winds | Surface Winds, Regional Seas | Andaman Sea, Regional Seas | Arafura Sea, Regional Seas | Banda Sea, Regional Seas | Celebes Sea, Regional Seas | Coral Sea, Regional Seas | Gulf of Thailand, Regional Seas | Philippine Sea, Regional Seas | Solomon Sea, Regional Seas | South China Sea, Regional Seas | Tasman Sea
Organization: Australian Ocean Data Network
Towed Video deployments for the Barossa Environmental Baseline Study 2015, Western Australia (ConocoPhillips)

Towed video surveys were carried out across five principle locations of regional interest, including Evans, Tassie and Blackwood Shoals, the closest shoals to the Barossa field, as well as two mid-shelf seabed locations adjacent to Goodrich Bank and Cape Helvetius. In total, 113 towed video transects and 2246 downward facing digital still images were collected at depths of between 11 and 100 metres. The towed platform was deployed over the stern of the vessel, maintained within a metre of the seabed and towed at 1-2 knots (1.5 nominal) until a minimum distance of 1.5 km was covered in a continuous line transect. On the vessel, a computer-based towed video program managed collation of position, depth, and operator-derived habitat classification data, which was captured in real time as an operator interpreted the live video feed, and then archived for subsequent spatial analysis.

The seabed biodiversity surveys were undertaken by the Australian Institute of Marine Science (AIMS) in collaboration with ConocoPhillips as part of the Barossa field environmental baseline and marine studies program. The surveys were undertaken between 13 September and 1 October 2015, on the RV Solander.  They covered five principal locations of regional interest, including Evans, Tassie and Blackwood Shoals, the closest shoals to the Barossa field, as well as two mid-shelf seabed locations adjacent to Goodrich Bank and Cape Helvetius, relevant to a potential gas export pipeline route.

Organization: Australian Ocean Data Network
Great Barrier Reef Marine Park Boundary - Ocean Bounds (NERP TE 13.1 eAtlas, source:GBRMPA)

This dataset shows the ocean side boundary of the Great Barrier Reef Marine Park, excluding the inner boundary along the Queensland coastline. 

This dataset was derived from the Great Barrier Reef Marine Park Boundary dataset by loading the GBRMPA_BOUNDS_Line.shp (supplied by GBRMPA) into ArcMap then deleting the verticies along the coastline, breaking the original closed line loop.

This dataset is not authorive and was produced for use in the eAtlas. Contact the Spatial Data Centre at GBRMPA for the official boundaries.

Tags: Human Dimensions | Boundaries | Administrative Divisions, Oceans | Marine Environment Monitoring, marine
Organization: Australian Ocean Data Network