{"dataCollections":[{"id":{"identifierType":"Fedora PID","identifier":"csiro:11774"},"dataCollectionId":11774,"self":"https://data.csiro.au/dap/ws/v2/collections/11774","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:11774","fileUpload":false,"fileId":0},"title":"Regional sea level projection - annual time series, 2006-2090 - 0.5 degree resolution","description":"Sea level projections based on the CMIP5 climate models and the IPCC AR5 under 4 RCP scenarios for the western tropical Pacific.  The data are presented in annual time steps between 2006 and 2090.\n\nAttributes recorded: \n- Latitude & Longitude (0.5 degree resolution); \n- Time; \n- Sea level change projection - lower bound (5%), metres; \n- Sea level change projection, metres; \n- Sea level change projection - upper bound (95%), metres; \n- Sea level change projection uncertainty, metres. \n\nTotal size: 149MB. \nFormat: NetCDF. ","keywords":"PACCSAP; Sea level projection; western tropical Pacific; CMIP5; IPCC AR5","credit":"PCMDI for CMIP5, IPCC AR5 for global mean sea level projections, Mitrovica et al. for land ice fingerprints, and Kendall et al. for the GIA distribution.\n\nThis data collection is a product  is funded and supported by the Australian Government through the Pacific Australian Climate Change Science and Adaptation Planning Programme (PACCSAP). PACCSAP was funded by Department of Foreign Affair & Trade, managed by the Department of the Environment and the science was delivered by the partnership between CSIRO and the Bureau of Meteorology. ","licence":"Creative Commons Attribution 3.0 Unported Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/2","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2014.","rights":"All Rights (including copyright) CSIRO Australia 2014.","published":"2015-05-01T11:02:53.225+10:00","leadResearcher":"Xuebin Zhang","serviceCount":0,"contributors":["John Church","Didier Monselesan","Neil White"],"andsPid":"102.100.100/21612","doi":"10.4225/08/5542D09AB956A","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:11782"},"dataCollectionId":11782,"self":"https://data.csiro.au/dap/ws/v2/collections/11782","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:11782","fileUpload":false,"fileId":0},"title":"Historical sea level reconstruction - monthly time series, 1950-2009 - 1 degree resolution","description":"Historical sea level reconstruction by merging tide gauge measurements with altimeter measurements, presented in monthly time steps between January 1950 and December 2009.\n\nAttributes recorded: \n- Latitude & Longitude (1 degree resolution); \n- Year, month; \n- Number of gauges at each time step; \n- Global Mean Sea Level error (mm); \n- Sea Surface Height (mm). \n\nFormat: NetCDF. \nSize: 65MB \nNotes: no IB correction, Mitrovica GIA, seasonal signal removed.","keywords":"PACCSAP; Historical sea level; reconstruction; sea surface height","credit":"This data collection is a product  is funded and supported by the Australian Government through the Pacific Australian Climate Change Science and Adaptation Planning Programme (PACCSAP). PACCSAP was funded by Department of Foreign Affair & Trade, managed by the Department of the Environment and the science was delivered by the partnership between CSIRO and the Bureau of Meteorology.","licence":"Creative Commons Attribution 3.0 Unported Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/2","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2015.","rights":"All Rights (including copyright) CSIRO Australia 2015.","published":"2015-03-30T12:29:35.621+11:00","leadResearcher":"John Church","serviceCount":0,"contributors":["Neil White"],"andsPid":"102.100.100/20894","doi":"10.4225/08/551860B49A2BC","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:12604"},"dataCollectionId":12604,"self":"https://data.csiro.au/dap/ws/v2/collections/12604","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:12604","fileUpload":false,"fileId":0},"title":"Projections of coral bleaching risk in the Western Pacific under different levels sea surface temperature increases","description":"The collection contains Degree heating week (DHW) time series. The matrix has 4 dimensions : longitude, latitude, time-window and warming). The data are on a longitude/latitude grid from 123 E to 210 E and 25S to 16 N. there are 21 warming slices ( 0 to 2degC every 0.1 degC) and 30y for each warming slice.\n\n DHW is a metric used to measure bleaching risk due to ocean temperature and is calculated from Sea Surface Temperature (SST) timeseries.\n\n Each 30-year DHW timeseries is associated with a warming anomaly (none to +2oC every 0.1oC). For projections of DHW, warming anomalies are added to detrended SST timeseries. \nThere is no particular time associated with the 30-year window. Each 30-year window is actually used to calculate probability of heat stress for a single warming slice or time slice of the mean state change. Therefore we are using the 30-year observations of SST to give use the characteristics of the SST variability, rather than a 30-year projection of SST. (For more details see Langlais et al., 2015 Local SST variability determines coral bleaching risk under global warming. Geophysical Research Letter.)\n\nThis collection is a single 4.6GB matlab file.\n\n\n","keywords":"PACCSAP; coal bleaching: projections: sea temperature; Western Pacific","credit":"This data collection is a product  is funded and supported by the Australian Government through the Pacific Australian Climate Change Science and Adaptation Planning Programme (PACCSAP). PACCSAP was funded by Department of Foreign Affair & Trade, managed by the Department of the Environment and the science was delivered by the partnership between CSIRO and the Bureau of Meteorology.","licence":"Creative Commons Attribution 3.0 Unported Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/2","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2015.","rights":"All Rights (including copyright) CSIRO Australia 2015.","published":"2015-03-27T01:18:47.440+11:00","leadResearcher":"Clothilde Langlais","serviceCount":0,"contributors":["Jaci Brown","Alex Sen Gupta","Mareva Kuchinke","Chris Evenhuis"],"andsPid":"102.100.100/20879","doi":"10.4225/08/551413D6B8141","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:12605"},"dataCollectionId":12605,"self":"https://data.csiro.au/dap/ws/v2/collections/12605","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:12605","fileUpload":false,"fileId":0},"title":"Water Level Climatologies for Pacific Island Countries","description":"Components of total hourly sea level signal, monthly exceedance probabilities, and gridded tides and sea level anomaly.\n\nAccess to this data collection is restricted and relies on scripts.\n\nThe data collection comprises ~4 GB, >10000 files comprising processed hourly sea level files, weekly averaged altimetry files, and derived gridded products.","keywords":"PACCSAP; Astronomical tides; El Nino Southern Oscillation (ENSO); Satellite Altimetry; tide gauge data; Sea Level","credit":"Tide gauge data provided by Australian Bureau of Meteorology and the University of Hawaii.  Global tide model provided by Oregon State University;  satellite altimetry provided by Ssalto/Duacs and distributed by Aviso.\n\nThis data collection is a product  is funded and supported by the Australian Government through the Pacific Australian Climate Change Science and Adaptation Planning Programme (PACCSAP). PACCSAP was funded by Department of Foreign Affair & Trade, managed by the Department of the Environment and the science was delivered by the partnership between CSIRO and the Bureau of Meteorology. ","licence":"Creative Commons Attribution 3.0 Unported Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/2","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2015.","rights":"All Rights (including copyright) CSIRO Australia 2015.","published":"2015-06-06T18:55:44.383+10:00","leadResearcher":"Ron Hoeke","serviceCount":0,"contributors":["Kathy McInnes","John Church"],"andsPid":"102.100.100/22137","doi":"10.25919/5c36dab991fb8","dataRestricted":"TRUE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:12641"},"dataCollectionId":12641,"self":"https://data.csiro.au/dap/ws/v2/collections/12641","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:12641","fileUpload":false,"fileId":0},"title":"Current and future storm tide risks for Fiji.","description":"Current and future storm tide risk study for Fiji.  These risks are quantified by estimating 20, 50 and 100, 500, 1000 year maximum storm tide height return intervals under a variety of climate conditions and sea levels using a combined statistical/dynamical method.\n\nAccess to this data collection is restricted and relies on scripts.\n\nThis data collection comprises ~50GB, >10000 files of Tropical Cyclone Tracks, Storm tide model runs, other input information, derived statistical gridded data.","keywords":"PACCSAP; Tropical Cyclones; Storm Surge; Astronomical tides; El Nino Southern Oscillation (ENSO); Sea Level; Fiji","credit":"International Best Track Archive for Climate Stewardship (IBTrACS) ; Tide gauge data provided by Australian Bureau of Meteorology and the University of Hawaii.  Global tide model provided by Oregon State University.\n\nThis data collection is a product  is funded and supported by the Australian Government through the Pacific Australian Climate Change Science and Adaptation Planning Programme (PACCSAP). PACCSAP was funded by Department of Foreign Affair & Trade, managed by the Department of the Environment and the science was delivered by the partnership between CSIRO and the Bureau of Meteorology. ","licence":"Creative Commons Attribution 3.0 Unported Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/2","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2015.","rights":"All Rights (including copyright) CSIRO Australia 2015.","published":"2015-06-06T18:48:50.343+10:00","leadResearcher":"Kathy McInnes","serviceCount":0,"contributors":["Ron Hoeke"],"andsPid":"102.100.100/22135","doi":"10.25919/5c36da2b82c7d","dataRestricted":"TRUE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:12642"},"dataCollectionId":12642,"self":"https://data.csiro.au/dap/ws/v2/collections/12642","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:12642","fileUpload":false,"fileId":0},"title":"Satellite-derived bathymetry of Funafuti Atoll, Tuvalu.","description":"High-resolution visible satellite imagery (Quickbird) was acquired and a physics-based model inversion process used to estimate water column depth. The methodology for this project and assessments of accuracy are extensively report by Botha (2012) and Botha et al. (2013).","keywords":"PACCSAP; Wind waves; wave setup; wave climate; sea level; coral reef; atoll; bathymetry; Funafuti Atoll, Tuvalu.","credit":"Digital Globe: Quickbird satellite data.\n\nThis data collection is a product  is funded and supported by the Australian Government through the Pacific Australian Climate Change Science and Adaptation Planning Programme (PACCSAP). PACCSAP was funded by Department of Foreign Affair & Trade, managed by the Department of the Environment and the science was delivered by the partnership between CSIRO and the Bureau of Meteorology. ","licence":"Creative Commons Attribution 3.0 Unported Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/2","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2015.","rights":"All Rights (including copyright) CSIRO Australia 2015.","published":"2015-06-10T03:22:28.305+10:00","leadResearcher":"Hannelie Botha","serviceCount":0,"contributors":["Ron Hoeke","Kathy McInnes"],"andsPid":"102.100.100/22146","doi":"10.25919/5c36da33d16f8","dataRestricted":"TRUE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:12643"},"dataCollectionId":12643,"self":"https://data.csiro.au/dap/ws/v2/collections/12643","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:12643","fileUpload":false,"fileId":0},"title":"Hybrid downscaled wave climate of Funafuti, Tuvalu","description":"High-resolution gridded wave parameters (significant wave height, peak period, peak direction, wave dissipation, etc.) for the entire atoll of Funafuti.\n\nAccess to this data is restricted and relies on scripts.\n\nThis data collection comprises 200GB , >10000 files and scripts","keywords":"PACCSAP; Wind waves; wave setup; wave climate; sea level; coral reef; atoll; bathymetry; Funafuti, Tuvalu","credit":"PACCSAP Global Wave Hindcast, Tide gauge data provided by Australian Bureau of Meteorology and the University of Hawaii.  Global tide model provided by Oregon State University;  satellite altimetry provided by Ssalto/Duacs and distributed by Aviso\n\nThis data collection is a product  is funded and supported by the Australian Government through the Pacific Australian Climate Change Science and Adaptation Planning Programme (PACCSAP). PACCSAP was funded by Department of Foreign Affair & Trade, managed by the Department of the Environment and the science was delivered by the partnership between CSIRO and the Bureau of Meteorology. ","licence":"Creative Commons Attribution 3.0 Unported Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/2","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2015.","rights":"All Rights (including copyright) CSIRO Australia 2015.","published":"2015-06-06T18:56:43.660+10:00","leadResearcher":"Ron Hoeke","serviceCount":0,"contributors":["Kathy McInnes","Tom Durrant"],"andsPid":"102.100.100/22138","doi":"10.25919/5c36da3ca8473","dataRestricted":"TRUE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:12644"},"dataCollectionId":12644,"self":"https://data.csiro.au/dap/ws/v2/collections/12644","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:12644","fileUpload":false,"fileId":0},"title":"Current and future storm tide risks for Samoa.","description":"Current and future storm tide risk study for Samoa.  These risks are quantified by estimating 20, 50 and 100 year maximum storm tide height return intervals under a variety of climate conditions and sea levels using a combined statistical/dynamical method.\n\nAccess to this data is restricted and relies on scripts.\n\nThis data collection comprises ~50 GB >10000 files Tropical Cyclone Tracks, Storm tide model runs, other input information, derived statistical gridded data.","keywords":"PACCSAP; Tropical Cyclones; Storm Surge; Astronomical tides; El Nino Southern Oscillation (ENSO); Sea Level; Samoa Archipelago","credit":"International Best Track Archive for Climate Stewardship (IBTrACS) ; Tide gauge data provided by Australian Bureau of Meteorology and the University of Hawaii.  Global tide model provided by Oregon State University.\n\nThis data collection is a product  is funded and supported by the Australian Government through the Pacific Australian Climate Change Science and Adaptation Planning Programme (PACCSAP). PACCSAP was funded by Department of Foreign Affair & Trade, managed by the Department of the Environment and the science was delivered by the partnership between CSIRO and the Bureau of Meteorology. ","licence":"Creative Commons Attribution 3.0 Unported Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/2","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2015.","rights":"All Rights (including copyright) CSIRO Australia 2015.","published":"2015-06-06T18:53:45.218+10:00","leadResearcher":"Kathy McInnes","serviceCount":0,"contributors":["Ron Hoeke"],"andsPid":"102.100.100/22136","doi":"10.25919/5c36da4546509","dataRestricted":"TRUE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:13961"},"dataCollectionId":13961,"self":"https://data.csiro.au/dap/ws/v2/collections/13961","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:13961","fileUpload":false,"fileId":0},"title":"Tropical cyclone tracks found using the CSIRO Direct Detection scheme on CMIP5 model outputs","description":"This data collection consists of:\n1. ASCII text files listing each tropical cyclone detected within output of a suite of CMIP5 models for the Pacific region contained by latitudes 20N to 40S, and longitudes 135E to 150W; and\n2. Global images of tropical cyclone densities derived from these detections, presented as either days per year or storms per year for a 5 x 5 degree longitude/latitude grid.\n\nAll tropical cyclones detected using the CSIRO Direct Detection and tracking algorithm within the above domain are presented in space-delimited ASCII text files for each model. Three time periods are available to select:\n- from 1981 to 2000 (\"baseline\" period used for projections);\n- from 2081 to 2100 (\"future\" period used for projections); and\n- from 1950 to 2100 (all data).\n\nThere are two image types for each coupled model data source, both based on densities of storms within a 5 x 5 lon/lat degree box for the respective 20 year period (either 1981-2000 or 2081-2100):\n- images containing \"days\" in the file name show the number of days per year in which a tropical cyclone was detected within that box\n- images with \"number\" in the file name display the number of separate storms per year detected within that box.","keywords":"PACCSAP; Tropical cyclones; climate change; CMIP5","credit":"We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modelling groups for producing and making available their model output. For CMIP the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals.","licence":"Creative Commons Attribution 3.0 Unported Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/2","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2015.","rights":"All Rights (including copyright) CSIRO Australia 2015.","published":"2015-07-02T07:47:40.923+10:00","leadResearcher":"Debbie Abbs","serviceCount":0,"contributors":["Andres Roubicek","Tony Rafter","Sally Lavender","Mohar Chattopadhyay"],"andsPid":"102.100.100/22571","doi":"10.4225/08/55945FAC005B3","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:13962"},"dataCollectionId":13962,"self":"https://data.csiro.au/dap/ws/v2/collections/13962","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:13962","fileUpload":false,"fileId":0},"title":"Empirical indices of tropical cyclone genesis for CMIP5 models","description":"Three empirically-derived indices of tropical cyclone genesis - Genesis Potential Index (labelled in files as \"gpi\"), Murakami-GPI (\"GPIM\") and Tippett Index (\"TCGI\") - have been applied to monthly outputs of a suite of CMIP5 models.\n\nThe indices each use combinations of monthly mean meteorological and sea surface temperature fields in order to indicate regions with favourable conditions for the generation of tropical cyclones (known as cyclogenesis).\n\nThe resulting outputs have been calculated over three time periods. Data are in the form of netCDF files containing time series of either seasonal or annual averages for each index. The files are arranged inside folders named after the CMIP5 model from which these products have been derived (note: these are not the official CMIP5 model names).\n\nIndex outputs are stored over each of the following periods:\n- 1980 to 1999 (historical), \n- 2046 to 2065 (rcp85), and\n- 2081 to 2100 (rcp85)\nwhere the bracketed text indicates the CMIP5 Representative Concentration Pathway (RCP) used to provide the climate forcings for the simulation.\n\nThe seasonal time series files are labelled with the above year ranges, with a file name structure of:\n[index]_[year1]_[year2]_seasmean.nc\n\nThe files containing annual average time series have file names of the form:\n[index]_ANN_mergetime_[model_label]_[year].nc\n\nThe [year] label in the annual average file names corresponds to the first year of one of the respective periods above, respectively:\n- 1980,\n- 2046, and\n- 2081.\n\n","keywords":"PACCSAP; Tropical cyclones; climate change; CMIP5","credit":"We acknowledge the World Climate Research Programme's Working Group on Coupled Modelling, which is responsible for CMIP, and we thank the climate modeling groups for producing and making available their model output. For CMIP the U.S. Department of Energy's Program for Climate Model Diagnosis and Intercomparison provides coordinating support and led development of software infrastructure in partnership with the Global Organization for Earth System Science Portals.","licence":"Creative Commons Attribution 3.0 Unported Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/2","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2015.","rights":"All Rights (including copyright) CSIRO Australia 2015.","published":"2015-07-02T07:48:45.590+10:00","leadResearcher":"Mohar Chattopadhyay","serviceCount":0,"contributors":["Andres Roubicek","Debbie Abbs","Tony Rafter","Sally Lavender"],"andsPid":"102.100.100/22572","doi":"10.4225/08/55945FE83FF4A","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:19671"},"dataCollectionId":20715,"self":"https://data.csiro.au/dap/ws/v2/collections/20715","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:19671","fileUpload":false,"fileId":0},"title":"Supplementary Material used to characterise the spatial and temporal dynamics of magpie goose populations in the Kakadu Region NT and their cultural harvesting values","description":"Summarises all available aerial survey data and metadata used to characterise the long-term distribution and abundance of magpie geese in the Northern Territory undertaken by different institutions and publically available in several journals (Appendix A). Summarised also are results from a PhD study (E. Ligtermoet) documenting the cultural harvesting values of magpie geese ascertained by interviews with Kakadu Traditional Owners (2011-2015).    ","keywords":"Kakadu National Park, Tropical floodplain ecology, waterbirds, Aboriginal cultural values","credit":"CSIRO\nEmma Ligtermoet (Australian National University) \n\n\n\n\n\n","licence":"CSIRO Data Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1061","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2016.","rights":"All Rights (including copyright) CSIRO 2016.","published":"2016-12-15T15:23:43.473+11:00","leadResearcher":"Peter Bayliss","serviceCount":0,"contributors":["Emma Ligtermoet"],"andsPid":"102.100.100/40032","doi":"10.4225/08/58521aabad9f5","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:37641"},"dataCollectionId":37700,"self":"https://data.csiro.au/dap/ws/v2/collections/37700","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:37641","fileUpload":false,"fileId":0},"title":"FoGSS model inputs and outputs","description":"Inputs to and outputs from the Forecast Guided Stochastic Model used  to produce the paper:\nBennett JC, Wang QJ, Robertson DE, Schepen A, Li M, Michael K. 2017. Assessment of an ensemble seasonal streamflow forecasting system for Australia. Hydrol. Earth Syst. Sci. 21: 6007-6030. DOI: 10.5194/hess-21-6007-2017.\n\nNB: netCDF files comform to the specification documents attached below.","keywords":"Seasonal Water Forecasts; Ensemble Prediction; Forecast Guided Stochastic Scenarios; Streamflow forecasts","credit":"Water Data Online;\nAWAP","licence":"CSIRO Data Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1061","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2018.","rights":"All Rights (including copyright) CSIRO 2018.","published":"2018-12-13T18:54:27.327+11:00","leadResearcher":"James Bennett","serviceCount":0,"contributors":["QJ Wang","David Robertson","Andrew Schepen","Ming Li"],"andsPid":"102.100.100/76167","doi":"10.25919/5c1182926f4ba","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:13780"},"dataCollectionId":40263,"self":"https://data.csiro.au/dap/ws/v2/collections/40263","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:13780","fileUpload":false,"fileId":0},"title":"CMIP5 global climate model outputs and derived outputs, comprising: Data generated to produce PACCSAP reports; data generated to produce NRM reports; data generated to produce ACCSP reports.","description":"Processed global climate model outputs and derived analysis from ‘historical’ and RCP simulations from CMIP5 models. A set of up to 26 models were used for all PACCSAP reporting, but some other models are now processed as well as part of the NRM and ACCSP projects. \n\nDatasets are complete time series as well averages for 1986-2005, 2020-2039, 2040-2059, 2060-2079 and 2080-2099. \nDerived variables are: \n•\tClimatologies for each period\n•\tChanges between periods (absolute and %)\n•\tExpert Team on Climate Change Detection and Indices (ETCCDI) extremes indices (e.g. annual maximums)\n•\tAverage recurrence interval (ARI) calculations of 1-year, 2-year, 5-year, 10-year, 20-year, 50-year and 100-year events fro rainfall and temperature extremes\n•\tStandardised precipitation index (SPI) of meteorological drought\n•\tArea-average means and changes for each partner nation and each NRM cluster region for all fields","keywords":"PACCSAP; NRM; ACCSP; Global Climate Models; CMIP5; Drought; Extremes; Temperature; Rainfall; Climate Change","credit":"This data collection is a product is funded and supported by the Australian Government through the Pacific Australian Climate Change Science and Adaptation Planning Programme (PACCSAP). PACCSAP was funded by Department of Foreign Affair & Trade, managed by the Department of the Environment and the science was delivered by the partnership between CSIRO and the Bureau of Meteorology.\n\nPlease also see the supporting attachment file acknowledgement_lw.txt for a full credit acknowledgement.","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) Bureau of Meteorology, CSIRO 2015.","rights":"All Rights (including copyright) Bureau of Meteorology, CSIRO 2015.","published":"2019-06-14T13:49:21.347+10:00","leadResearcher":"Louise Wilson","serviceCount":0,"contributors":["Janice Bathols","Craig Heady","Tim Bedin","Tim Erwin","Sugata Narsey","Tony Rafter","Jonas Bhend","Michael Grose"],"andsPid":"102.100.100/22570","doi":null,"dataRestricted":"TRUE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:13783"},"dataCollectionId":40264,"self":"https://data.csiro.au/dap/ws/v2/collections/40264","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:13783","fileUpload":false,"fileId":0},"title":"CMIP5 Climatologies","description":"Historic and future 20-year climatologies of CMIP5 data on native model grid for annual, seasonal and monthly seasons. Up to 40 models from the CMIP5 archive are available.\n\nTIME PERIODS: \nHistoric:  \n    1986-2005,  1980-1999\nFuture:\n    2015-2034,  2020-2039,  2025-2044\n    2030-2049,  2035-2054,  2040-2059\n    2045-2064,  2050-2069,  2055-2074\n    2060-2079,  2065-2084,  2070-2089\n    2075-2094,  2080- 2099\n\nEXPERIMENTS:\n    historical, rcp26, rcp45, rcp60, rcp85\n\nSEASONS:\n    Annual, \n    Seasonal (DJF, MAM, JJA, SON)\n    6-month seasons (NDJFMA, MJJASO)\n    Monthly\n\nVARIABLES:\n    Surface Temperature, Rainfall, Wind Speed, Solar Radiation,\n    Maximum Surface Temperature, Minimum Surface Temperature,\n    Drought, Extreme Rainfall (1-in20 Year), Evapotransporation\n    Humidity, ","keywords":"PACCSAP; NRM; ACCSP; CMIP5; GCM; Climatology; Temperature; Rainfall; Drought; Extremes; Climate Chage","credit":"This data collection is a product is funded and supported by the Australian Government through the Pacific Australian Climate Change Science and Adaptation Planning Programme (PACCSAP). PACCSAP was funded by Department of Foreign Affair & Trade, managed by the Department of the Environment and the science was delivered by the partnership between CSIRO and the Bureau of Meteorology.\n\nPlease see the supporting file acknowledgement_te.txt for a full acknowledgement statement.","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) Bureau of Meteorology, CSIRO 2015.","rights":"All Rights (including copyright) Bureau of Meteorology, CSIRO 2015.","published":"2019-06-14T13:49:25.925+10:00","leadResearcher":"Tim Erwin","serviceCount":0,"contributors":["Janice Bathols","Craig Heady","Tim Bedin","Louise Wilson","Sugata Narsey","Tony Rafter","Jonas Bhend","John Clarke"],"andsPid":"102.100.100/22573","doi":null,"dataRestricted":"TRUE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:46108"},"dataCollectionId":46108,"self":"https://data.csiro.au/dap/ws/v2/collections/46108","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:46108","fileUpload":false,"fileId":0},"title":"Biogeochemical surveys in eastern Gulf of Carpentaria estuaries, June 2018","description":"Archive of biogeochemical data from case study and research cruise in seven estuaries of the eastern Gulf of Carpentaria. Data were collected via two observational methods:\n1) 24-36hr time series of hourly discrete samples and water-column profiles\n2) Spatial surveys at approximately low tide, which include discrete samples and water-column profiles collected along the river-ocean axis of estuaries. A small number of discrete samples of porewater were also collected from bore holes to approximately 2m depth.\nDatasets include carbon, nutrients, sediment particle size, metals, phytoplankton photopigments, CDOM (chromophoric dissolved organic matter), and vertical profiles of salinity, temperature, dissolved oxygen, pH, turbidity chlorophyll a fluorescence, and fluorescent dissolved organic matter (fDOM). \n","keywords":"Biogeochemistry; carbon; nutrients; sediments; water quality; particle size; metals; phytoplankton photopigments","credit":"Joseph R. Crosswell; Geoffrey Carlin; Daniel Gorman; Dion Frampton; James McLaughlin; Cassie Schwanger; Sarah Stephenson; Andy Steven; David Beale; Lesley Clementson; Bozena Wojtasiewicz","licence":"CSIRO Data Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1061","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2020.","rights":"All Rights (including copyright) CSIRO 2020.","published":"2020-08-24T20:55:00.250+10:00","leadResearcher":"Joey Crosswell","serviceCount":0,"contributors":["Geoff Carlin","Daniel Gorman","Dion Frampton","James McLaughlin","Cassie Schwanger","Sarah Stephenson","Andy Steven","David Beale","Lesley Clementson","Bozena Wojtasiewicz"],"andsPid":"102.100.100/368593","doi":"10.25919/5f439be5e60a0","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:57430"},"dataCollectionId":57430,"self":"https://data.csiro.au/dap/ws/v2/collections/57430","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:57430","fileUpload":false,"fileId":0},"title":"CSIRO Sentinel-1 SAR image dataset of oil- and non-oil features for machine learning ( Deep Learning )","description":"What this collection is:\nA curated, binary-classified image dataset of grayscale (1 band) 400 x 400-pixel size, or image chips, in a JPEG format extracted from processed Sentinel-1 Synthetic Aperture Radar (SAR) satellite scenes acquired over various regions of the world, and featuring clear open ocean chips, look-alikes (wind or biogenic features) and oil slick chips.\n\nThis binary dataset contains chips  labelled as:\n- \"0\" for chips not containing any oil features (look-alikes or clean seas)  \n- \"1\" for those containing oil features. \n\nThis binary dataset is imbalanced, and biased towards \"0\" labelled chips (i.e.,  no oil features), which correspond to 66% of the dataset.\nChips containing oil features, labelled \"1\", correspond to 34% of the dataset.\n\nWhy:\nThis dataset can be used for training, validation and/or testing of machine learning, including deep learning, algorithms for the detection of oil features in SAR imagery. Directly applicable for algorithm development for the European Space Agency Sentinel-1 SAR mission (https://sentinel.esa.int/web/sentinel/missions/sentinel-1 ), it may be suitable for the development of detection algorithms for other SAR satellite sensors.\n\nOverview of this dataset:\nTotal number of chips (both classes) is N=5,630\nClass \t       0\t        1\nTotal\t\t3,725\t1,905\n\nFurther information and description is found in the ReadMe file provided (ReadMe_Sentinel1_SAR_OilNoOil_20221215.txt)","keywords":"Sentinel-1; synthetic aperture radar; SAR ; artificial intelligence; AI; machine learning; ML; deep learning; DL;  great barrier reef; GBR; singapore; oil slick; oil spill; oil discharge","credit":"David Blondeau-Patissier (CSIRO); Thomas Schroeder (CSIRO); Foivos Diakogiannis (CSIRO); Zhibin Li (CSIRO)","licence":"Creative Commons Attribution-ShareAlike 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1122","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2022.","rights":"All Rights (including copyright) CSIRO 2022.","published":"2022-12-15T17:10:13.853+11:00","leadResearcher":"David Blondeau-Patissier","serviceCount":0,"contributors":["Thomas Schroeder","Foivos Diakogiannis","Zhibin Li"],"andsPid":"102.100.100/480163","doi":"10.25919/4v55-dn16","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:55799"},"dataCollectionId":57591,"self":"https://data.csiro.au/dap/ws/v2/collections/57591","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:55799","fileUpload":false,"fileId":0},"title":"FNQ_2021_V01 Voyage dataset: Feb - March 2021; Biogeochemical and hydrodynamic observations along the river-reef continuum of estuaries in eastern Cape York, Australia","description":"Archive of biogeochemical and hydrodynamic data from 2021 research voyage in eastern Cape York.\nData were collected via several observational methods including an underway, flow-though sampling system, underway CTD casts, benthic lander deployments, >25hr station keeping, water column profiling, across-axis hydrodynamic transects and along-axis profiling transects. A detailed description of data, methods, and activities is included in this archive as a voyage sampling report.","keywords":"Biogeochemistry; hydrodynamics; carbon; nutrients; sediments; acoustics; currents; water quality; particle size","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2022.","rights":"All Rights (including copyright) CSIRO 2022.","published":"2023-01-05T14:34:26.861+11:00","leadResearcher":"Joey Crosswell","serviceCount":0,"contributors":["Geoff Carlin","Livsey Daniel","Katie Hillyer","Andy Steven"],"andsPid":"102.100.100/443950","doi":"10.25919/2vbh-cx08","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:59815"},"dataCollectionId":60111,"self":"https://data.csiro.au/dap/ws/v2/collections/60111","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:59815","fileUpload":false,"fileId":0},"title":"Suspended sediment, hydrodynamic, and biogeochemical observations in Fitzroy Estuary - Keppel Bay Region, QLD, 2022-2023; an eReefs sediment dynamics study","description":"This dataset compiles all field observations collected as part of a sediment dynamics study in the Fitzroy Estuary - Keppel Bay Region from February 2022 to April 2023. Four voyages were undertaken during the 14-month study to deploy and maintain instrumentation at several fixed stations while also conducting spatial surveys and process measurements. \n\nThese in-situ observations primarily focus on hydrodynamics, sediment properties and physical-chemical properties, but also include other biogeochemical, bio-optical and meteorological data. Instrumentation, deployment timelines, locations and quality control details are summarized in the “ReadMe” file: Fitz_2022_23_Data_description.pdf, which also includes synoptic figures, tables and images. Additional information is provided in brief reports completed after each voyage, which summarize field activities along with pictures and preliminary visualization of raw data.\n\nTo accommodate a range of use cases, instrument data are duplicated into two data structures: “byInstrument” and “byLocation”. All timestamps are in local time (AEST), unless otherwise noted.\n\nThe project was a conducted as part of eReefs Phase 5 (https://research.csiro.au/ereefs/, https://www.ereefs.org.au/) combined with the CSIRO CERC project “Breaking new ground in coastal sediment dynamics: A measurement-to modelling pathway to support blue growth and coastal resilience”. \nRelevant links and outputs from this data collection will be periodically updated. ","keywords":"biogeochemistry; sediment; hydrodynamics; acoustics; currents; water quality; particle size; ADCP","credit":"We thank Dr. Daniel Livsey at QLD Department of Environmental Science and Queensland University of Technology for the loan of instruments (LISST-200X, AQUAscat 1000R) and helpful discussions throughout the study.","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2023.","rights":"All Rights (including copyright) CSIRO 2023.","published":"2023-08-28T22:09:56.364+10:00","leadResearcher":"Joey Crosswell","serviceCount":0,"contributors":["Geoff Carlin","amanda Xiao"],"andsPid":"102.100.100/488612","doi":"10.25919/ka99-xy66","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:60459"},"dataCollectionId":60579,"self":"https://data.csiro.au/dap/ws/v2/collections/60579","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:60459","fileUpload":false,"fileId":0},"title":"Priorities for narrowing the yield gap and increasing farming systems resilience in the Fiji sugar industry: APSIM model, outputs and weather data","description":"APSIM model, outputs and weather data used in Meier et al. (2023) published in Farming System.","keywords":"APSIM; Sugarcane; Climate change; Crop rotation; Ratooning; Soil nutrient management; Soil constraints","credit":"The work was conducted by Elizabeth A. Meier (Meier IT Pty Ltd.), Diogenes L. Antille (CSIRO Agriculture and Food), Santiago Mahimairaja (Sugar Research Institute of Fiji).\nThe Fijian Ministry of Public Works, Transport and Meteorological Services provided climatic data used in the APSIM simulations.\nFunding was provided by The Department of Foreign Affairs and Trade (Australian Government, https://www.dfat.gov.au/) as part of their SciTech4Climate Indo-Pacific Climate-Smart Agriculture Initiative.","licence":"Creative Commons Attribution-Noncommercial 4.0 Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1181","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2023.","rights":"All Rights (including copyright) CSIRO 2023.","published":"2023-10-06T18:27:09.781+11:00","leadResearcher":"Dio Antille","serviceCount":0,"contributors":["Elizabeth Meier","Santiago Mahimairaja"],"andsPid":"102.100.100/600132","doi":"10.25919/8rrj-vg13","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:61655"},"dataCollectionId":61655,"self":"https://data.csiro.au/dap/ws/v2/collections/61655","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:61655","fileUpload":false,"fileId":0},"title":"Draft mitochondrial genomes of African tomato leafminer Phthorimaea absoluta","description":"Annotated draft mitochondrial genomes of Phthorimaea absoluta from Malawi and South Africa to infer global invasion biology of this transboundary lepidopteran crop pest.","keywords":"Agricultural biosecurity, Tuta absoluta, multiple foundresses, invasive alien species","credit":"Phthorimaea absoluta sample ZA1\nHannalene Du Plessis\nUnit for Environmental Sciences and Management, IPM program, North-West University, Potchefstroom, South Africa. Email: Hannalene.DuPlessis@nwu.ac.za\nMischá van Niekerk\nUnit for Environmental Sciences and Management, IPM program, North-West University, Potchefstroom, South Africa. Email: mishca077vn@gmail.com\n\nPhthorimaea absoluta samples MAL19, MAL20\nDonald Kachigamba, Department of Agricultural Research Services (DARS), Limbe, Malawi. Email: dkachigamba@gmail.com\n","licence":"Creative Commons Attribution-Noncommercial 4.0 Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1181","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO, Universidade Federal de Goias (UFG), Escola de Agronomia, Goiania, Goias, North-West University, Unit for Environmental Sciences and Management 2024.","rights":"All Rights (including copyright) CSIRO, Universidade Federal de Goias (UFG), Escola de Agronomia, Goiania, Goias, North-West University, Unit for Environmental Sciences and Management 2024.","published":"2024-12-20T15:18:22.422+11:00","leadResearcher":"Vinicius Magalhaes","serviceCount":0,"contributors":["Cecilia Czepak","Mishca van Niekerk","Hannalene du Plessis","Leon Court","Tek Tay"],"andsPid":"102.100.100/660146","doi":"10.25919/7a8e-ne43","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:62616"},"dataCollectionId":62616,"self":"https://data.csiro.au/dap/ws/v2/collections/62616","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:62616","fileUpload":false,"fileId":0},"title":"SYNTHESEAS: Datasets supporting the cultural Ecosystem Service Value Chain of recreational fishing to households","description":"The SEABORNE (Sustainable UsE And Benefits fOR mariNE) project has consolidated and synthesised existing information about who is using the Reef, how it is being used and what the benefits are from this use. SEABORNE began in November 2021, and initially, we were provided with a list of potential datasets relevant to our project in a spreadsheet.  To this, we continued to search various data portals online and find additional datasets and literature relevant to our project, particularly focusing on the Great Barrier Reef. \nThere are a number of peer-reviewed studies that provide data on the use value of non-fishing recreation activities in the GBR. Values tend to be articulated as willingness to pay (WTP) and/or consumer surplus (CS)  which have been determined through travel cost (revealed preference) and/or contingent benefit  (stated preference) focussed studies. ","keywords":"social-economic; social; ecosystem services; cultural; regulating; provisioning; Great Barrier Reef; Reef; consumer surplus","credit":"Anthea Coggan (CSIRO, Petina Pert (CSIRO), Jeremy De Valck (CQU), Victoria Graham (JCU), Diane Jarvis (JCU)","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2023.","rights":"All Rights (including copyright) CSIRO 2023.","published":"2024-07-12T16:17:36.649+10:00","leadResearcher":"Anthea Coggan","serviceCount":0,"contributors":["Petina Pert","Jeremy De Valck","Diane Jarvis","Victoria Graham"],"andsPid":"102.100.100/635331","doi":"10.25919/dxxf-0y58","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:62783"},"dataCollectionId":62783,"self":"https://data.csiro.au/dap/ws/v2/collections/62783","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:62783","fileUpload":false,"fileId":0},"title":"SYNTHESEAS: Datasets supporting the cultural Ecosystem Service Value Chain of research to institutions","description":"The SEABORNE (Sustainable UsE And Benefits fOR mariNE) project has consolidated and synthesised existing information about who is using the Reef, how it is being used and what the benefits are from this use. This dataset pertains to cultural ecosystem service - research - and provides values for funding for GBR research from 2010 to 2022 where available. ","keywords":"social-economic; social; ecosystem services; cultural; Great Barrier Reef; Reef; research; education","credit":"Anthea Coggan (CSIRO, Petina Pert (CSIRO), Jeremy De Valck (CQU), Victoria Graham (JCU), Diane Jarvis (JCU). CSIRO acknowledges the Traditional Owners of country throughout Australia and recognises their continuing connection to land, waters, and community. We pay our respects to them and their cultures, and to elders both past and present.","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2024.","rights":"All Rights (including copyright) CSIRO 2024.","published":"2024-07-12T15:36:35.541+10:00","leadResearcher":"Victoria Graham","serviceCount":0,"contributors":["Petina Pert","Anthea Coggan","Diane Jarvis","Jeremy De Valck"],"andsPid":"102.100.100/635860","doi":"10.25919/f56e-n891","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:61286"},"dataCollectionId":62961,"self":"https://data.csiro.au/dap/ws/v2/collections/62961","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:61286","fileUpload":false,"fileId":0},"title":"Seaborne metadata database","description":"The SEABORNE (Sustainable UsE And Benefits fOR mariNE) has consolidated and synthesised existing information about who is using the Reef, how it is being used and what the benefits are from this use. SEABORNE began in November 2021, and initially, we were provided with a list of potential datasets relevant to our project in a spreadsheet.  To this, we continued to search various data portals online and find additional datasets relevant to our project, particularly focusing on the Great Barrier Reef. We recorded these initially in an Excel spreadsheet.  We then transferred this to an MS Access database and developed a more user-friendly entry form.  Within the MS Access database, there is one table that stores all the metadata records entered. And another table that stores the static preview images. There are 58 fields (which have been described in a data dictionary) – some of these are mandatory.  At the moment there are 3 metadata records entered and we expect this to grow to 50-100 records by the completion of the project. ","keywords":"social-economic; social; ecosystem services; cultural; regulating; provisioning; abiotic; Great Barrier Reef; Reef; ","credit":"Anthea Coggan (CSIRO, Petina Pert (CSIRO), Jeremy De Valck (CQU), Victoria Graham (JCU), Diane Jarvis (JCU)","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2024.","rights":"All Rights (including copyright) CSIRO 2024.","published":"2024-07-09T09:44:17.618+10:00","leadResearcher":"Petina Pert","serviceCount":0,"contributors":["Lauren Stevens","Akshat Sehgal","Anthea Coggan","Diane Jarvis","Jeremy De Valck","Victoria Graham"],"andsPid":"102.100.100/608610","doi":"10.25919/wkkk-6g61","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:62174"},"dataCollectionId":63460,"self":"https://data.csiro.au/dap/ws/v2/collections/63460","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:62174","fileUpload":false,"fileId":0},"title":"SYNTHESEAS: Datasets supporting the provisioning Ecosystem Service Value Chain of Wild caught fish, non-edible fish and farmed fish biomass for Wet Tropics, Cape York and Fitzroy NRM regions","description":"The SEABORNE (Sustainable UsE And Benefits fOR mariNE) has consolidated and synthesised existing information about who is using the Reef, how it is being used and what the benefits are from this use. This dataset pertains to provisioning ecosystem service - wild fish and non-edible fish and farmed fish biomass and provides values for various fishery types, biomass (kg) and other economic values.","keywords":"social-economic; social; ecosystem services; provisioning; abiotic; Great Barrier Reef; Reef; fish; biomass; farmed fish; non-edible fish; fisheries","credit":"Anthea Coggan (CSIRO, Petina Pert (CSIRO), Jeremy De Valck (CQU), Victoria Graham (JCU), Diane Jarvis (JCU). CSIRO acknowledges the Traditional Owners of country throughout Australia and recognises their continuing connection to land, waters, and community. We pay our respects to them and their cultures, and to elders both past and present.","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2024.","rights":"All Rights (including copyright) CSIRO 2024.","published":"2024-09-09T12:05:51.719+10:00","leadResearcher":"Anthea Coggan","serviceCount":0,"contributors":["Petina Pert","Jeremy De Valck","Victoria Graham","Diane Jarvis"],"andsPid":"102.100.100/635305","doi":"10.25919/6mpf-2q17","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:66356"},"dataCollectionId":66410,"self":"https://data.csiro.au/dap/ws/v2/collections/66410","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:66356","fileUpload":false,"fileId":0},"title":"Hydrodynamic and sediment observations in Fitzroy Estuary QLD and Cassady Creek (Hinchinbrook, QLD) 2024-2025:  CSIRO Tidal Inundation project","description":"This dataset compiles field observations collected as part of CSIRO’s Tidal Inundation project, 2024-2025. The field campaign deployed oceanographic and tide level sensors in two Queensland estuaries: the Fitzroy Estuary and Cassady Creek (Hinchinbrook Shire). Additional project information, deployment details, site maps and quality control notes are provided in the data_summary pdf and time_series_summary spreadsheets. \n\nGeophysical survey data collected during this study, including multibeam sonar bathymetry and aerial LiDAR surveys, are not included in this dataset but are available in a separate data collection associated with the Tidal Inundation project (see related links below).\n\nPeriodic field trips were undertaken during the 12-month study to scout, deploy, maintain and retrieve instrumentation at several fixed stations. Instrumentation consisted of tide level sensors, acoustic doppler current profilers (ADCPs), and wave monitoring buoys with pressure and temperature sensors. Additionally, 38 discrete samples of surface sediments were collected by manual grabs to quantify grain size throughout the Fitzroy Estuary and its distributary (Casuarina Creek). \n\nThis data collection includes brief quality control reports prepared after retrieval of each ADCP, with additional QC notes included in the data summary document. Data in this repository are grouped by instrument type and location. All timestamps are in local time (GMT +10), unless otherwise noted.\n","keywords":"tides; tidal inundation; blue carbon; estuary; hydrodynamics; sediment; biogeochemistry; acoustics; currents; grain size; ADCP","licence":"Creative Commons Attribution-Noncommercial 4.0 Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1181","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2025.","rights":"All Rights (including copyright) CSIRO 2025.","published":"2025-09-01T10:31:43.361+10:00","leadResearcher":"Joey Crosswell","serviceCount":0,"contributors":["Geoff Carlin","Bryan Hally","Paul Branson","Andy Steven"],"andsPid":"102.100.100/708752","doi":"10.25919/dxx2-s727","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:63771"},"dataCollectionId":69371,"self":"https://data.csiro.au/dap/ws/v2/collections/69371","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:63771","fileUpload":false,"fileId":0},"title":"Mapping Australia's Coastal Defences Structures: Understanding the Gaps and the Need for a National Dataset","description":"This dataset and accompanying RMarkdown notebook document the analysis and efforts to consolidate spatial data on coastal protection structures, such as sea walls, groynes, and wharfs, across Australia's coastline. The project addresses the urgent need for a national-level dataset by sourcing data from various state governments and identifying gaps in coverage. The dataset integrates contributions from OpenStreetMap (OSM), Smartline, and state-based government databases, resulting in a research-quality geospatial file. Key attributes include the location and type of coastal structures, with data standardised for consistency across regions. Limitations are noted, such as the absence of government-supplied data for certain regions and potential accuracy issues with OSM-sourced information. The dataset is intended for research purposes, supporting efforts to assess coastal risks and guide future protection measures. Ongoing updates to datasets will extend to not only consider engineered hard structures but also include datasets of nature-based coastal protection (e.g., restored reefs and coastal vegetation).","keywords":"Coastal; structures; protection; erosion; risk; seawall; groynes; OpenStreetMap ","credit":"Julian O'Grady; Claire Trenham; Rebecca Morris; NESP Knowledge Brokers https://nesp2climate.com.au/science-engagement/","licence":"Licence Defined by Data Provider","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1161","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2024.","rights":"All Rights (including copyright) CSIRO 2024.","published":"2025-10-21T21:36:50.771+11:00","leadResearcher":"Julian O'Grady","serviceCount":0,"contributors":["Claire Trenham","Rebecca Morris","NESP Climate Systems Hub Knowledge Brokers"],"andsPid":"102.100.100/660109","doi":null,"dataRestricted":"TRUE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:72824"},"dataCollectionId":73469,"self":"https://data.csiro.au/dap/ws/v2/collections/73469","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:72824","fileUpload":false,"fileId":0},"title":"Fijian seagrass dataset with soil carbon, geomorphic variables, seagrass probability map, and analysis code used in the manuscript 'Soil Carbon Stocks in Fijian Seagrass: Environmental Drivers, National Inventories, and Implications for Blue Carbon'","description":"This repository contains the following data and code for analyzing seagrass carbon stocks in Fiji: \n1)\tData from 135 soil cores collected from 47 sites across Vanua Levu, the Lau Group, and the Moala subgroup. \n2)\tGeomorphic variables for each site derived from open-source geospatial datasets\n3)\tSeagrass probability map for Fiji generated using Sentinel-2 multispectral satellite imagery (10m resolution) from 2022-2024\n4)\tR scripts and associated data subsets used to examine spatial and environmental drivers of organic carbon storage in Fijian seagrass meadows\n","keywords":"blue carbon; seagrass; soil carbon; habitat map; geomorphology","credit":"This study was conceived and conducted as part of the Pacific Blue Carbon Program. The Program commenced in 2018 as a partnership between Australia, Fiji, and Papua New Guinea (PNG) to advance blue carbon science and policy in the Pacific. The Program was supported by the Australian Department of Foreign Affairs and Trade, the CSIRO, and Conservation International, who worked in close cooperation with Fijian and PNG government ministries, technical institutions, and partner communities. Work in Fiji was undertaken with support from local researchers and community organizations, facilitated via collaborative research agreements between the CSIRO, the University of the South Pacific (USP), and Transcend Oceania. Additional assistance with research permissions was provided by the Ministry of Economy and Conservation International. Collaborative fieldwork and engagement activities were developed through a series of workshops from 2019-2023, which were hosted at USP and at the project’s lead partner community, Tawake Village. Approval for fieldwork was granted by the Fijian Ministry of iTaukei Affairs (Reference: MTA 42/2-3) along with permission from the Roko Tui (provincial chiefs) and provincial offices of Lau, Macuata, and Cakaudrove. Field activities were conducted in line with Fijian culture (e.g., see Dutra et al. 2024). When entering communities and local marine areas (acknowledged below), the project team followed the protocol of iSevusevu, performed with the relevant leaders or gatekeepers to introduce the visiting group, inform them about the project, and seek their approval to commence activities. Initial results of this study have been shared via presentations by the Fijian project lead, W-J. Powell, to Tawake community, the provincial offices noted above, the Office of the Commissioner Northern, and the Ministries of Economy and Fisheries. Initial results were also communicated in a plain-language summary as part of a community-focused booklet (Tawake Blue Carbon Futures, Dutra et al. 2024), which was presented at the final Pacific Blue Carbon Program workshop in Tawake for closing consultation and iTatau.\n\nFunding for this research was provided by the Australian Department of Foreign Affairs and Trade and the CSIRO under the Pacific Blue Carbon Program with additional support from Google LLC. under Australia's Science and Technology for Climate Partnership (SciTech4Climate). We are grateful for the research and logistic support in Fiji that was provided via partnership with USP and Transcend Oceania, as well as the many other agencies listed herein. We particularly acknowledge the crew of the RV Nai'a, Leo Dutra and Jeff Baldock at CSIRO, Amanda Ford, Namrata Chand, and Claude Daveta at USP, Adi Vasulevu M. Levu at Transcend Oceania, Bridget Kennedy at Conservation International, Mereoni Taga and Aporosa Nalasi of the Ministry of Fisheries, Viliame Driti of the Ministry of Itaukei Affairs, Kushaal Raj, Izhaar Ali, and Namisha Nikita of the Ministry of Economy, Roko Tui Lau Jioji T. Kalounivalu, and Roko Panapasa Raceva. We are especially grateful to Ratu Semisoni Tadravakasiga Levu (Turaga Vunivalu Tawake), the Tawake Village, and Tawake district communities for hosting researchers and building an enlightening partnership over the course of the Pacific Blue Carbon Program. Finally, we thank the many communities that participated in Program activities, as well as the many local leaders who provided us with permission and support for fieldwork on the islands of Vanua Balavu, Lakeba, Oneata, Ogea, Fulaga, Kabara, Moala, and Gau, and within the Vanua Tawake and Savusavu.","licence":"Creative Commons Attribution-Noncommercial 4.0 Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1181","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2026.","rights":"All Rights (including copyright) CSIRO 2026.","published":"2026-02-25T12:18:03.690+11:00","leadResearcher":"Joey Crosswell","serviceCount":0,"contributors":["Wendy-Jane Powell","Geoff Carlin","Christina Asanopoulos","Wentzel Carrie","Mitchell Lyons","Andy Steven"],"andsPid":"102.100.100/712297","doi":"10.25919/95am-hz02","dataRestricted":"FALSE"},{"id":{"identifierType":"Fedora PID","identifier":"csiro:62181"},"dataCollectionId":73637,"self":"https://data.csiro.au/dap/ws/v2/collections/73637","landingPage":{"relationship":"alternate","mediaType":"text/html","href":"https://data.csiro.au/collection/csiro:62181","fileUpload":false,"fileId":0},"title":"SYNTHESEAS: Datasets supporting the cultural Ecosystem Service Value Chain of non-fishing recreation and leisure to households","description":"The SEABORNE (Sustainable UsE And Benefits fOR mariNE) project has consolidated and synthesised existing information about who is using the Reef, how it is being used and what the benefits are from this use. SEABORNE began in November 2021, and initially, we were provided with a list of potential datasets relevant to our project in a spreadsheet.  To this, we continued to search various data portals online and find additional datasets and literature relevant to our project, particularly focusing on the Great Barrier Reef. \nThere are a number of peer-reviewed studies that provide data on the use value of non-fishing recreation activities in the GBR. Values tend to be articulated as willingness to pay (WTP) and/or consumer surplus (CS)  which have been determined through travel cost (revealed preference) and/or contingent benefit  (stated preference) focussed studies. A summary of these studies is provided in the attached database “Summary of GBR CS literature.xlsx” ","keywords":"social-economic; social; ecosystem services; cultural; regulating; provisioning; Great Barrier Reef; Reef; consumer surplus","credit":"Anthea Coggan (CSIRO, Petina Pert (CSIRO), Jeremy De Valck (CQU), Victoria Graham (JCU), Diane Jarvis (JCU)","licence":"Creative Commons Attribution 4.0 International Licence","licenceLink":{"relationship":"licence","mediaType":"text/html","href":"https://data.csiro.au/dap/ws/v2/licences/1121","fileUpload":false,"fileId":0},"attributionStatement":"All Rights (including copyright) CSIRO 2023.","rights":"All Rights (including copyright) CSIRO 2023.","published":"2026-03-12T21:06:03.200+11:00","leadResearcher":"Anthea Coggan","serviceCount":0,"contributors":["Petina Pert","Jeremy De Valck","Diane Jarvis","Victoria Graham"],"andsPid":"102.100.100/609452","doi":"10.25919/z328-vx49","dataRestricted":"FALSE"}]}