terriajs/wwwroot/test/csw/Example1GetRecordsPage2.xml

Geospatial data visualization platform.

<?xml version="1.0" encoding="UTF-8"?>
<csw:GetRecordsResponse xmlns:csw="http://www.opengis.net/cat/csw/2.0.2" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.opengis.net/cat/csw/2.0.2 http://schemas.opengis.net/csw/2.0.2/CSW-discovery.xsd">
  <csw:SearchStatus timestamp="2021-03-08T19:48:34" />
  <csw:SearchResults numberOfRecordsMatched="230" numberOfRecordsReturned="100" elementSet="full" nextRecord="201">
    <csw:Record xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:mcp="http://bluenet3.antcrc.utas.edu.au/mcp" xmlns:gmx="http://www.isotc211.org/2005/gmx" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:geonet="http://www.fao.org/geonetwork" xmlns:dct="http://purl.org/dc/terms/" xmlns:ows="http://www.opengis.net/ows" xmlns:gml="http://www.opengis.net/gml" xmlns:gmd="http://www.isotc211.org/2005/gmd">
      <dc:identifier>2332ac78f1ed0c62321cf33063f19dd82e3ae712</dc:identifier>
      <dc:date>2020-09-23T13:24:37</dc:date>
      <dc:title>(Month 04) April Mean Direction of the Maximum Directionally Resolved Wave Power</dc:title>
      <dc:subject>Wave Energy Resource | Direction of Maximum Directionally Resolved Wave Power | Monthly Means</dc:subject>
      <dct:abstract>The April mean direction of the maximum directionally resolved wave power is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using April data from April 1980 to April 2010.
The direction of the maximum directionally resolved wave power is 0j and is used as the characteristic direction of the sea-state. Note, accurate determination of the directionally resolved wave power, J0, and its maximum, Jm, and hence 0j require spectral data, which was not archived at all grid points of the CAWCR wave hindcast. Here, we provide estimates of Jm using spectra reconstructed with archived gridded wave partition data, assuming a Pierson-Moskowitz spectra fit to each partition, with assumed spreading, and superimposed to produce a reconstructed spectra. Further details of the method used to estimate Jm are provided in the atlas report (Hemer et al., 2016).

For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
      <dc:description>The April mean direction of the maximum directionally resolved wave power is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using April data from April 1980 to April 2010.
The direction of the maximum directionally resolved wave power is 0j and is used as the characteristic direction of the sea-state. Note, accurate determination of the directionally resolved wave power, J0, and its maximum, Jm, and hence 0j require spectral data, which was not archived at all grid points of the CAWCR wave hindcast. Here, we provide estimates of Jm using spectra reconstructed with archived gridded wave partition data, assuming a Pierson-Moskowitz spectra fit to each partition, with assumed spreading, and superimposed to produce a reconstructed spectra. Further details of the method used to estimate Jm are provided in the atlas report (Hemer et al., 2016).

For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:description>
      <dc:contributor>Input data: NCEP CFSv2 surface winds and sea ice, http://cfs.ncep.noaa.gov. Wave model used: WaveWatch III, http://polar.ncep.noaa.gov/waves/wavewatch/wavewatch.shtml The Centre for Australian Weather and Climate Research (CAWCR) is a partnership between the Bureau of Meteorology and CSIRO. Hindcast modelling undertaken as part of the PACCSAP (Pacific-Australia Climate Change Science and Adaptation Planning) Project 4.3 "High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments" in 2012, funded by DCCEE and AusAID and undertaken jointly by CSIRO and the BoM. This dataset was produced as part of the Australian Renewable Energy Agency – CSIRO Oceans and Atmosphere Flagship co-funded Australian Wave Energy Atlas Project.</dc:contributor>
      <dc:contributor>Bureau of Meteorology Australia
CSIRO Australia</dc:contributor>
      <dc:language />
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      <dc:type>dataset</dc:type>
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      <dc:URI protocol="WWW:LINK-1.0-http--link" name="ww3.aus_4m.jthm_avg.04.nc" description="Download: ww3.aus_4m.jthm_avg.04.nc">http://oa-gis.csiro.au/data/jthm/ww3.aus_4m.jthm_avg.04.nc</dc:URI>
    </csw:Record>
    <csw:Record xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:mcp="http://bluenet3.antcrc.utas.edu.au/mcp" xmlns:gmx="http://www.isotc211.org/2005/gmx" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:geonet="http://www.fao.org/geonetwork" xmlns:dct="http://purl.org/dc/terms/" xmlns:ows="http://www.opengis.net/ows" xmlns:gml="http://www.opengis.net/gml" xmlns:gmd="http://www.isotc211.org/2005/gmd">
      <dc:identifier>cfd8386e4743db07fee495566178cd1f3aa0ef1d</dc:identifier>
      <dc:date>2020-09-23T13:24:38</dc:date>
      <dc:title>(Month 05) May Mean Direction of the Maximum Directionally Resolved Wave Power</dc:title>
      <dc:subject>Wave Energy Resource | Direction of Maximum Directionally Resolved Wave Power | Monthly Means</dc:subject>
      <dct:abstract>The May mean direction of the maximum directionally resolved wave power is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using May data from May 1980 to May 2010.
The direction of the maximum directionally resolved wave power is 0j and is used as the characteristic direction of the sea-state. Note, accurate determination of the directionally resolved wave power, J0, and its maximum, Jm, and hence 0j require spectral data, which was not archived at all grid points of the CAWCR wave hindcast. Here, we provide estimates of Jm using spectra reconstructed with archived gridded wave partition data, assuming a Pierson-Moskowitz spectra fit to each partition, with assumed spreading, and superimposed to produce a reconstructed spectra. Further details of the method used to estimate Jm are provided in the atlas report (Hemer et al., 2016).

For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
      <dc:description>The May mean direction of the maximum directionally resolved wave power is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using May data from May 1980 to May 2010.
The direction of the maximum directionally resolved wave power is 0j and is used as the characteristic direction of the sea-state. Note, accurate determination of the directionally resolved wave power, J0, and its maximum, Jm, and hence 0j require spectral data, which was not archived at all grid points of the CAWCR wave hindcast. Here, we provide estimates of Jm using spectra reconstructed with archived gridded wave partition data, assuming a Pierson-Moskowitz spectra fit to each partition, with assumed spreading, and superimposed to produce a reconstructed spectra. Further details of the method used to estimate Jm are provided in the atlas report (Hemer et al., 2016).

For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:description>
      <dc:contributor>Input data: NCEP CFSv2 surface winds and sea ice, http://cfs.ncep.noaa.gov. Wave model used: WaveWatch III, http://polar.ncep.noaa.gov/waves/wavewatch/wavewatch.shtml The Centre for Australian Weather and Climate Research (CAWCR) is a partnership between the Bureau of Meteorology and CSIRO. Hindcast modelling undertaken as part of the PACCSAP (Pacific-Australia Climate Change Science and Adaptation Planning) Project 4.3 "High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments" in 2012, funded by DCCEE and AusAID and undertaken jointly by CSIRO and the BoM. This dataset was produced as part of the Australian Renewable Energy Agency – CSIRO Oceans and Atmosphere Flagship co-funded Australian Wave Energy Atlas Project.</dc:contributor>
      <dc:contributor>Bureau of Meteorology Australia
CSIRO Australia</dc:contributor>
      <dc:language />
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      <dc:type>dataset</dc:type>
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      <dc:URI protocol="WWW:LINK-1.0-http--link" name="ww3.aus_4m.jthm_avg.05.nc" description="Download: ww3.aus_4m.jthm_avg.05.nc">http://oa-gis.csiro.au/data/jthm/ww3.aus_4m.jthm_avg.05.nc</dc:URI>
    </csw:Record>
    <csw:Record xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:mcp="http://bluenet3.antcrc.utas.edu.au/mcp" xmlns:gmx="http://www.isotc211.org/2005/gmx" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:geonet="http://www.fao.org/geonetwork" xmlns:dct="http://purl.org/dc/terms/" xmlns:ows="http://www.opengis.net/ows" xmlns:gml="http://www.opengis.net/gml" xmlns:gmd="http://www.isotc211.org/2005/gmd">
      <dc:identifier>671faa63cd0e91ec24e51e686d8e8c22973bca96</dc:identifier>
      <dc:date>2020-09-23T13:24:38</dc:date>
      <dc:title>(Month 06) June Mean Direction of the Maximum Directionally Resolved Wave Power</dc:title>
      <dc:subject>Wave Energy Resource | Direction of Maximum Directionally Resolved Wave Power | Monthly Means</dc:subject>
      <dct:abstract>The June mean direction of the maximum directionally resolved wave power is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using June data from June 1980 to June 2010.
The direction of the maximum directionally resolved wave power is 0j and is used as the characteristic direction of the sea-state. Note, accurate determination of the directionally resolved wave power, J0, and its maximum, Jm, and hence 0j require spectral data, which was not archived at all grid points of the CAWCR wave hindcast. Here, we provide estimates of Jm using spectra reconstructed with archived gridded wave partition data, assuming a Pierson-Moskowitz spectra fit to each partition, with assumed spreading, and superimposed to produce a reconstructed spectra. Further details of the method used to estimate Jm are provided in the atlas report (Hemer et al., 2016).

For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
      <dc:description>The June mean direction of the maximum directionally resolved wave power is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using June data from June 1980 to June 2010.
The direction of the maximum directionally resolved wave power is 0j and is used as the characteristic direction of the sea-state. Note, accurate determination of the directionally resolved wave power, J0, and its maximum, Jm, and hence 0j require spectral data, which was not archived at all grid points of the CAWCR wave hindcast. Here, we provide estimates of Jm using spectra reconstructed with archived gridded wave partition data, assuming a Pierson-Moskowitz spectra fit to each partition, with assumed spreading, and superimposed to produce a reconstructed spectra. Further details of the method used to estimate Jm are provided in the atlas report (Hemer et al., 2016).

For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:description>
      <dc:contributor>Input data: NCEP CFSv2 surface winds and sea ice, http://cfs.ncep.noaa.gov. Wave model used: WaveWatch III, http://polar.ncep.noaa.gov/waves/wavewatch/wavewatch.shtml The Centre for Australian Weather and Climate Research (CAWCR) is a partnership between the Bureau of Meteorology and CSIRO. Hindcast modelling undertaken as part of the PACCSAP (Pacific-Australia Climate Change Science and Adaptation Planning) Project 4.3 "High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments" in 2012, funded by DCCEE and AusAID and undertaken jointly by CSIRO and the BoM. This dataset was produced as part of the Australian Renewable Energy Agency – CSIRO Oceans and Atmosphere Flagship co-funded Australian Wave Energy Atlas Project.</dc:contributor>
      <dc:contributor>Bureau of Meteorology Australia
CSIRO Australia</dc:contributor>
      <dc:language />
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        <ows:UpperCorner>100.0 3.000264883041382</ows:UpperCorner>
      </ows:BoundingBox>
      <dc:type>dataset</dc:type>
      <dc:URI protocol="OGC:WMS-1.1.1-http-get-map" name="awavea2019:ww3.aus_4m.jthm_avg.06" description="ww3.aus_4m.jthm_avg.06">http://oa-gis.csiro.au/geoserver/wms?SERVICE=WMS&amp;</dc:URI>
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      <dc:URI protocol="WWW:LINK-1.0-http--link" name="ww3.aus_4m.jthm_avg.06.nc" description="Download: ww3.aus_4m.jthm_avg.06.nc">http://oa-gis.csiro.au/data/jthm/ww3.aus_4m.jthm_avg.06.nc</dc:URI>
    </csw:Record>
    <csw:Record xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:mcp="http://bluenet3.antcrc.utas.edu.au/mcp" xmlns:gmx="http://www.isotc211.org/2005/gmx" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:geonet="http://www.fao.org/geonetwork" xmlns:dct="http://purl.org/dc/terms/" xmlns:ows="http://www.opengis.net/ows" xmlns:gml="http://www.opengis.net/gml" xmlns:gmd="http://www.isotc211.org/2005/gmd">
      <dc:identifier>410f37124da4cc1a428eb74502ec6f5794e5d177</dc:identifier>
      <dc:date>2020-09-23T13:24:38</dc:date>
      <dc:title>(Month 07) July Mean Direction of the Maximum Directionally Resolved Wave Power</dc:title>
      <dc:subject>Wave Energy Resource | Direction of Maximum Directionally Resolved Wave Power | Monthly Means</dc:subject>
      <dct:abstract>The July mean direction of the maximum directionally resolved wave power is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using July data from July 1980 to July 2010.
The direction of the maximum directionally resolved wave power is 0j and is used as the characteristic direction of the sea-state. Note, accurate determination of the directionally resolved wave power, J0, and its maximum, Jm, and hence 0j require spectral data, which was not archived at all grid points of the CAWCR wave hindcast. Here, we provide estimates of Jm using spectra reconstructed with archived gridded wave partition data, assuming a Pierson-Moskowitz spectra fit to each partition, with assumed spreading, and superimposed to produce a reconstructed spectra. Further details of the method used to estimate Jm are provided in the atlas report (Hemer et al., 2016).

For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
      <dc:description>The July mean direction of the maximum directionally resolved wave power is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using July data from July 1980 to July 2010.
The direction of the maximum directionally resolved wave power is 0j and is used as the characteristic direction of the sea-state. Note, accurate determination of the directionally resolved wave power, J0, and its maximum, Jm, and hence 0j require spectral data, which was not archived at all grid points of the CAWCR wave hindcast. Here, we provide estimates of Jm using spectra reconstructed with archived gridded wave partition data, assuming a Pierson-Moskowitz spectra fit to each partition, with assumed spreading, and superimposed to produce a reconstructed spectra. Further details of the method used to estimate Jm are provided in the atlas report (Hemer et al., 2016).

For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:description>
      <dc:contributor>Input data: NCEP CFSv2 surface winds and sea ice, http://cfs.ncep.noaa.gov. Wave model used: WaveWatch III, http://polar.ncep.noaa.gov/waves/wavewatch/wavewatch.shtml The Centre for Australian Weather and Climate Research (CAWCR) is a partnership between the Bureau of Meteorology and CSIRO. Hindcast modelling undertaken as part of the PACCSAP (Pacific-Australia Climate Change Science and Adaptation Planning) Project 4.3 "High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments" in 2012, funded by DCCEE and AusAID and undertaken jointly by CSIRO and the BoM. This dataset was produced as part of the Australian Renewable Energy Agency – CSIRO Oceans and Atmosphere Flagship co-funded Australian Wave Energy Atlas Project.</dc:contributor>
      <dc:contributor>Bureau of Meteorology Australia
CSIRO Australia</dc:contributor>
      <dc:language />
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      <dc:type>dataset</dc:type>
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    </csw:Record>
    <csw:Record xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:mcp="http://bluenet3.antcrc.utas.edu.au/mcp" xmlns:gmx="http://www.isotc211.org/2005/gmx" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:geonet="http://www.fao.org/geonetwork" xmlns:dct="http://purl.org/dc/terms/" xmlns:ows="http://www.opengis.net/ows" xmlns:gml="http://www.opengis.net/gml" xmlns:gmd="http://www.isotc211.org/2005/gmd">
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      <dc:date>2020-09-23T13:24:38</dc:date>
      <dc:title>(Month 08) August Mean Direction of the Maximum Directionally Resolved Wave Power</dc:title>
      <dc:subject>Wave Energy Resource | Direction of Maximum Directionally Resolved Wave Power | Monthly Means</dc:subject>
      <dct:abstract>The August mean direction of the maximum directionally resolved wave power is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using August data from August 1980 to August 2010.
The direction of the maximum directionally resolved wave power is 0j and is used as the characteristic direction of the sea-state. Note, accurate determination of the directionally resolved wave power, J0, and its maximum, Jm, and hence 0j require spectral data, which was not archived at all grid points of the CAWCR wave hindcast. Here, we provide estimates of Jm using spectra reconstructed with archived gridded wave partition data, assuming a Pierson-Moskowitz spectra fit to each partition, with assumed spreading, and superimposed to produce a reconstructed spectra. Further details of the method used to estimate Jm are provided in the atlas report (Hemer et al., 2016).

For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dct:abstract>
      <dc:description>The August mean direction of the maximum directionally resolved wave power is derived from the CAWCR global wave hindcast, using data from the archived hourly 4’ Australian grid, using August data from August 1980 to August 2010.
The direction of the maximum directionally resolved wave power is 0j and is used as the characteristic direction of the sea-state. Note, accurate determination of the directionally resolved wave power, J0, and its maximum, Jm, and hence 0j require spectral data, which was not archived at all grid points of the CAWCR wave hindcast. Here, we provide estimates of Jm using spectra reconstructed with archived gridded wave partition data, assuming a Pierson-Moskowitz spectra fit to each partition, with assumed spreading, and superimposed to produce a reconstructed spectra. Further details of the method used to estimate Jm are provided in the atlas report (Hemer et al., 2016).

For further information on the CAWCR wave hindcast, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact us for more information.</dc:description>
      <dc:contributor>Input data: NCEP CFSv2 surface winds and sea ice, http://cfs.ncep.noaa.gov. Wave model used: WaveWatch III, http://polar.ncep.noaa.gov/waves/wavewatch/wavewatch.shtml The Centre for Australian Weather and Climate Research (CAWCR) is a partnership between the Bureau of Meteorology and CSIRO. Hindcast modelling undertaken as part of the PACCSAP (Pacific-Australia Climate Change Science and Adaptation Planning) Project 4.3 "High resolution wind-wave climate and projections of change in the Pacific region for coastal hazard assessments" in 2012, funded by DCCEE and AusAID and undertaken jointly by CSIRO and the BoM. This dataset was produced as part of the Australian Renewable Energy Agency – CSIRO Oceans and Atmosphere Flagship co-funded Australian Wave Energy Atlas Project.</dc:contributor>
      <dc:contributor>Bureau of Meteorology Australia
CSIRO Australia</dc:contributor>
      <dc:language />
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        <ows:LowerCorner>175.00038146972656 -49.999998331069946</ows:LowerCorner>
        <ows:UpperCorner>100.0 3.000264883041382</ows:UpperCorner>
      </ows:BoundingBox>
      <dc:type>dataset</dc:type>
      <dc:URI protocol="OGC:WMS-1.1.1-http-get-map" name="awavea2019:ww3.aus_4m.jthm_avg.08" description="ww3.aus_4m.jthm_avg.08">http://oa-gis.csiro.au/geoserver/wms?SERVICE=WMS&amp;</dc:URI>
      <dc:URI protocol="image/png" name="Mean wave direction (LegendURL)" description="">http://oa-gis.csiro.au/geoserver/wms?request=GetLegendGraphic&amp;format=image%2Fpng&amp;width=20&amp;height=20&amp;layer=awavea2019%3Aww3.aus_4m.jthm_avg.08</dc:URI>
      <dc:URI protocol="WWW:LINK-1.0-http--link" name="ww3.aus_4m.jthm_avg.08.nc" description="Download: ww3.aus_4m.jthm_avg.08.nc">http://oa-gis.csiro.au/data/jthm/ww3.aus_4m.jthm_avg.08.nc</dc:URI>
    </csw:Record>
    <csw:Record xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:mcp="http://bluenet3.antcrc.utas.edu.au/mcp" xmlns:gmx="http://www.isotc211.org/2005/gmx" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:geonet="http://www.fao.org/geonetwork" xmlns:dct="http://purl.org/dc/terms/" xmlns:ows="http://www.opengis.net/ows" xmlns:gml="http://www.opengis.net/gml" xmlns:gmd="http://www.isotc211.org/2005/gmd">
      <dc:identifier>088b678f10adaec4f62f050cf9402ec16d80d8af</dc:identifier>
      <dc:date>2020-09-23T13:24:20</dc:date>
      <dc:title>Australian Ship Reporting System - Shipping Summaries 1999-2011</dc:title>
      <dc:subject>Multiple Use | Shipping</dc:subject>
      <dc:language />
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        <ows:LowerCorner>179.699999999988 -77.699999999999</ows:LowerCorner>
        <ows:UpperCorner>-179.3 57.0000000000014</ows:UpperCorner>
      </ows:BoundingBox>
      <dc:type>dataset</dc:type>
      <dc:URI protocol="OGC:WMS-1.1.1-http-get-map" name="proxy:ausrep_shipping_summaries" description="Australian Ship Reporting System - Shipping Summaries 1999-2011">http://oa-gis.csiro.au/geoserver/wms?SERVICE=WMS&amp;</dc:URI>
      <dc:URI protocol="WWW:LINK-1.0-http--metadata-URL" name="Parent Metadata Record" description="Link to the Parent Metadata Record. Some elements of the metadata record describing this dataset are linked to elements in the parent metadata record. Please refer to the parent metadata record for a complete description of this dataset.">http://www.marlin.csiro.au/geonetwork/srv/eng/search#!b8135966-33c6-4a1c-bcbc-d797c2a1155f</dc:URI>
    </csw:Record>
    <csw:Record xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:mcp="http://bluenet3.antcrc.utas.edu.au/mcp" xmlns:gmx="http://www.isotc211.org/2005/gmx" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:geonet="http://www.fao.org/geonetwork" xmlns:dct="http://purl.org/dc/terms/" xmlns:ows="http://www.opengis.net/ows" xmlns:gml="http://www.opengis.net/gml" xmlns:gmd="http://www.isotc211.org/2005/gmd">
      <dc:identifier>a70dbd5d7cd12630c00cbdafd1e0bb4800926503</dc:identifier>
      <dc:date>2020-09-23T13:24:20</dc:date>
      <dc:title>2D and 3D surveys 1961-2010</dc:title>
      <dc:subject>Oceans</dc:subject>
      <dc:subject>Solid Earth | Natural Resources | Petroleum</dc:subject>
      <dc:subject>Multiple Use | Seismic Surveys</dc:subject>
      <dct:abstract>This data set is a summary of seismic survey transects from 1961 to 2015. The data was summarised to 0.1 deg grids and the number of km of the grid surveyed over a 5 year period was calculated.

Geoscience Australia is releasing its 2014 version of the Marine Seismic Surveys Shape and Kml files. These files have been updated to include recent openfile surveys. The spatial files have been created from a cleansed, updated collection of p190 navigation files. This navigation collection has grown from the checking of navigation submitted to the GA Repository under the Offshore Petroleum and Greenhouse Gas Storage Regulations

http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_f5f24293-c9c1-6ed9-e044-00144fdd4fa6/Marine+Seismic+Survey+Shape+and+Kml+Files+-+2014+Version

This data contains geographical information in shapefiles that represent 2D and 3D seismic surveys from 1961 to 2013.They represent most of the seismic surveys shot around Australia.
According to Mike Sexton (pers. comm., 2013; GA) 3D surveys are modern surveys that shoot with multiple cables, acquiring many times more data than a 2D survey. The cables have no impact on the environment.

 Over time, seismic surveys have used a variety of sources commencing with dynamite in the 1960s (usually 50 lbs, but sometimes 200 lbs). The shot spacing was usually of the order of 200 m. Since then, electrical discharges (sparkers), gas-exploders, vibratory sources and air guns have been used. The shot interval has been reduced to about 20 m.</dct:abstract>
      <dc:description>This data set is a summary of seismic survey transects from 1961 to 2015. The data was summarised to 0.1 deg grids and the number of km of the grid surveyed over a 5 year period was calculated.

Geoscience Australia is releasing its 2014 version of the Marine Seismic Surveys Shape and Kml files. These files have been updated to include recent openfile surveys. The spatial files have been created from a cleansed, updated collection of p190 navigation files. This navigation collection has grown from the checking of navigation submitted to the GA Repository under the Offshore Petroleum and Greenhouse Gas Storage Regulations

http://www.ga.gov.au/metadata-gateway/metadata/record/gcat_f5f24293-c9c1-6ed9-e044-00144fdd4fa6/Marine+Seismic+Survey+Shape+and+Kml+Files+-+2014+Version

This data contains geographical information in shapefiles that represent 2D and 3D seismic surveys from 1961 to 2013.They represent most of the seismic surveys shot around Australia.
According to Mike Sexton (pers. comm., 2013; GA) 3D surveys are modern surveys that shoot with multiple cables, acquiring many times more data than a 2D survey. The cables have no impact on the environment.

 Over time, seismic surveys have used a variety of sources commencing with dynamite in the 1960s (usually 50 lbs, but sometimes 200 lbs). The shot spacing was usually of the order of 200 m. Since then, electrical discharges (sparkers), gas-exploders, vibratory sources and air guns have been used. The shot interval has been reduced to about 20 m.</dc:description>
      <dc:contributor>Geoscience Australia (GA)</dc:contributor>
      <dc:language />
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        <ows:LowerCorner>177.635498046875 -57.3535041809082</ows:LowerCorner>
        <ows:UpperCorner>102.143989562988 -0.650499939918518</ows:UpperCorner>
      </ows:BoundingBox>
      <dc:type>dataset</dc:type>
      <dc:URI protocol="OGC:WMS-1.1.1-http-get-map" name="proxy:seismic_surveys" description="2D and 3D surveys 1961-2010">http://oa-gis.csiro.au/geoserver/wms?SERVICE=WMS&amp;</dc:URI>
      <dc:URI protocol="WWW:LINK-1.0-http--metadata-URL" name="Parent Metadata Record" description="Link to the Parent Metadata Record. Some elements of the metadata record describing this dataset are linked to elements in the parent metadata record. Please refer to the parent metadata record for a complete description of this dataset.">http://www.marlin.csiro.au/geonetwork/srv/eng/search#!17249677-2be0-43a0-a9b5-da01e0be3fa7</dc:URI>
    </csw:Record>
    <csw:Record xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:mcp="http://bluenet3.antcrc.utas.edu.au/mcp" xmlns:gmx="http://www.isotc211.org/2005/gmx" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:geonet="http://www.fao.org/geonetwork" xmlns:dct="http://purl.org/dc/terms/" xmlns:ows="http://www.opengis.net/ows" xmlns:gml="http://www.opengis.net/gml" xmlns:gmd="http://www.isotc211.org/2005/gmd">
      <dc:identifier>3cc43753c5a1abdf254b6524500020ffe58abcdf</dc:identifier>
      <dc:date>2020-09-23T13:24:20</dc:date>
      <dc:title>Sea Surface Temperature Long Term Trend SE - 1993-2013</dc:title>
      <dc:subject>Oceans | Ocean Temperature | Sea Surface Temperature</dc:subject>
      <dc:subject>WCS</dc:subject>
      <dc:subject>GeoTIFF</dc:subject>
      <dc:subject>ALTTSE_31July2014</dc:subject>
      <dc:subject>Multiple Use | Sea Surface Temperature</dc:subject>
      <dct:abstract>The physical climate defines a significant portion of the habitats in which biological communities and species reside. It is important to quantify these environmental conditions, and how they have changed, as this will inform future efforts to study many natural systems. We present the results of a statistical  summary of the variability in sea surface temperature (SST) time-series data for the
waters surrounding Australia, from 1993 to 2013. We partition variation in the SST series into annual trends, inter-annual trends, and a number of components of random variation. We utilise satellite data and validate the statistical summary from these data to summaries of data from long-term monitoringstations and from the global drifter program. The spatially dense results show clear trends that associate with oceanographic features. Noteworthy oceanographic features include: average warming was greatest off southern West Australia and off eastern Tasmania where the warming was around 0.6 C per decade for a twenty year study period, and; insubstantial warming in areas dominated by the East Australian Current but this area did exhibit high levels of inter-annual variability (long-term
trend increases and decreases but does not increase on average). The results of the analyses can be directly incorporated into (biogeographic) models that explain variation in biological data where both biological and environmental data are on a fine scale.</dct:abstract>
      <dc:description>The physical climate defines a significant portion of the habitats in which biological communities and species reside. It is important to quantify these environmental conditions, and how they have changed, as this will inform future efforts to study many natural systems. We present the results of a statistical  summary of the variability in sea surface temperature (SST) time-series data for the
waters surrounding Australia, from 1993 to 2013. We partition variation in the SST series into annual trends, inter-annual trends, and a number of components of random variation. We utilise satellite data and validate the statistical summary from these data to summaries of data from long-term monitoringstations and from the global drifter program. The spatially dense results show clear trends that associate with oceanographic features. Noteworthy oceanographic features include: average warming was greatest off southern West Australia and off eastern Tasmania where the warming was around 0.6 C per decade for a twenty year study period, and; insubstantial warming in areas dominated by the East Australian Current but this area did exhibit high levels of inter-annual variability (long-term
trend increases and decreases but does not increase on average). The results of the analyses can be directly incorporated into (biogeographic) models that explain variation in biological data where both biological and environmental data are on a fine scale.</dc:description>
      <dc:language />
      <ows:BoundingBox crs="::EPSG:4326">
        <ows:LowerCorner>160.9839974357248 -46.9798988032319</ows:LowerCorner>
        <ows:UpperCorner>107.97999945148223 -7.955899841787632</ows:UpperCorner>
      </ows:BoundingBox>
      <dc:type>dataset</dc:type>
      <dc:URI protocol="OGC:WMS-1.1.1-http-get-map" name="proxy:ALTTSE_31July2014" description="ALTTSE_31July2014">http://oa-gis.csiro.au/geoserver/wms?SERVICE=WMS&amp;</dc:URI>
      <dc:URI protocol="WWW:LINK-1.0-http--metadata-URL" name="Parent Metadata Record" description="Link to the Parent Metadata Record. Some elements of the metadata record describing this dataset are linked to elements in the parent metadata record. Please refer to the parent metadata record for a complete description of this dataset.">http://www.marlin.csiro.au/geonetwork/srv/eng/search#!b8f48127-495e-42e6-8d53-db3c56ee3a7f</dc:URI>
    </csw:Record>
    <csw:Record xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:mcp="http://bluenet3.antcrc.utas.edu.au/mcp" xmlns:gmx="http://www.isotc211.org/2005/gmx" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:geonet="http://www.fao.org/geonetwork" xmlns:dct="http://purl.org/dc/terms/" xmlns:ows="http://www.opengis.net/ows" xmlns:gml="http://www.opengis.net/gml" xmlns:gmd="http://www.isotc211.org/2005/gmd">
      <dc:identifier>8aa7ef0738ec6111243cc5a7c029e306a16b7f74</dc:identifier>
      <dc:date>2020-09-23T13:24:20</dc:date>
      <dc:title>Sea Surface Temperature Long Term Trend - 1993-2013</dc:title>
      <dc:subject>Oceans | Ocean Temperature | Sea Surface Temperature</dc:subject>
      <dc:subject>WCS</dc:subject>
      <dc:subject>GeoTIFF</dc:subject>
      <dc:subject>ALTT_31July2014</dc:subject>
      <dc:subject>Multiple Use | Sea Surface Temperature</dc:subject>
      <dct:abstract>The physical climate defines a significant portion of the habitats in which biological communities and species reside. It is important to quantify these environmental conditions, and how they have changed, as this will inform future efforts to study many natural systems. We present the results of a statistical  summary of the variability in sea surface temperature (SST) time-series data for the
waters surrounding Australia, from 1993 to 2013. We partition variation in the SST series into annual trends, inter-annual trends, and a number of components of random variation. We utilise satellite data and validate the statistical summary from these data to summaries of data from long-term monitoringstations and from the global drifter program. The spatially dense results show clear trends that associate with oceanographic features. Noteworthy oceanographic features include: average warming was greatest off southern West Australia and off eastern Tasmania where the warming was around 0.6 C per decade for a twenty year study period, and; insubstantial warming in areas dominated by the East Australian Current but this area did exhibit high levels of inter-annual variability (long-term
trend increases and decreases but does not increase on average). The results of the analyses can be directly incorporated into (biogeographic) models that explain variation in biological data where both biological and environmental data are on a fine scale.</dct:abstract>
      <dc:description>The physical climate defines a significant portion of the habitats in which biological communities and species reside. It is important to quantify these environmental conditions, and how they have changed, as this will inform future efforts to study many natural systems. We present the results of a statistical  summary of the variability in sea surface temperature (SST) time-series data for the
waters surrounding Australia, from 1993 to 2013. We partition variation in the SST series into annual trends, inter-annual trends, and a number of components of random variation. We utilise satellite data and validate the statistical summary from these data to summaries of data from long-term monitoringstations and from the global drifter program. The spatially dense results show clear trends that associate with oceanographic features. Noteworthy oceanographic features include: average warming was greatest off southern West Australia and off eastern Tasmania where the warming was around 0.6 C per decade for a twenty year study period, and; insubstantial warming in areas dominated by the East Australian Current but this area did exhibit high levels of inter-annual variability (long-term
trend increases and decreases but does not increase on average). The results of the analyses can be directly incorporated into (biogeographic) models that explain variation in biological data where both biological and environmental data are on a fine scale.</dc:description>
      <dc:language />
      <ows:BoundingBox crs="::EPSG:4326">
        <ows:LowerCorner>160.9839974357248 -46.9798988032319</ows:LowerCorner>
        <ows:UpperCorner>107.97999945148223 -7.955899841787632</ows:UpperCorner>
      </ows:BoundingBox>
      <dc:type>dataset</dc:type>
      <dc:URI protocol="OGC:WMS-1.1.1-http-get-map" name="proxy:ALTT_31July2014" description="ALTT_31July2014">http://oa-gis.csiro.au/geoserver/wms?SERVICE=WMS&amp;</dc:URI>
      <dc:URI protocol="WWW:LINK-1.0-http--metadata-URL" name="Parent Metadata Record" description="Link to the Parent Metadata Record. Some elements of the metadata record describing this dataset are linked to elements in the parent metadata record. Please refer to the parent metadata record for a complete description of this dataset.">http://www.marlin.csiro.au/geonetwork/srv/eng/search#!b8f48127-495e-42e6-8d53-db3c56ee3a7f</dc:URI>
    </csw:Record>
    <csw:Record xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:mcp="http://bluenet3.antcrc.utas.edu.au/mcp" xmlns:gmx="http://www.isotc211.org/2005/gmx" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:geonet="http://www.fao.org/geonetwork" xmlns:dct="http://purl.org/dc/terms/" xmlns:ows="http://www.opengis.net/ows" xmlns:gml="http://www.opengis.net/gml" xmlns:gmd="http://www.isotc211.org/2005/gmd">
      <dc:identifier>48e0cdba146a901bc7ab63fd88807413e1deed03</dc:identifier>
      <dc:date>2020-09-23T13:24:20</dc:date>
      <dc:title>Banks Strait Model Grid</dc:title>
      <dc:subject>features</dc:subject>
      <dc:subject>banks66_model</dc:subject>
      <dc:subject>Tidal Energy | Context Layers</dc:subject>
      <dct:abstract>"Full Geometry of regional Banks Strait Tidal Model grid "</dct:abstract>
      <dc:description>"Full Geometry of regional Banks Strait Tidal Model grid "</dc:description>
      <dc:language />
      <ows:BoundingBox crs="::EPSG:4326">
        <ows:LowerCorner>149.502321 -41.738328</ows:LowerCorner>
        <ows:UpperCorner>146.380037 -37.771658</ows:UpperCorner>
      </ows:BoundingBox>
      <dc:type>dataset</dc:type>
      <dc:URI protocol="OGC:WMS-1.1.1-http-get-map" name="tidal:BankStraitModelGrid" description="BankStrait Model Grid">http://oa-gis.csiro.au/geoserver/wms?SERVICE=WMS&amp;</dc:URI>
      <dc:URI protocol="image/png" name="Default Polygon (LegendURL)" description="">http://oa-gis.csiro.au/geoserver/wms?request=GetLegendGraphic&amp;format=image%2Fpng&amp;width=20&amp;height=20&amp;layer=tidal%3ABankStraitModelGrid</dc:URI>
    </csw:Record>
    <csw:Record xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:mcp="http://bluenet3.antcrc.utas.edu.au/mcp" xmlns:gmx="http://www.isotc211.org/2005/gmx" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:geonet="http://www.fao.org/geonetwork" xmlns:dct="http://purl.org/dc/terms/" xmlns:ows="http://www.opengis.net/ows" xmlns:gml="http://www.opengis.net/gml" xmlns:gmd="http://www.isotc211.org/2005/gmd">
      <dc:identifier>e47ab24a1833ffdb3a86c44121b2f2e2bee7e92b</dc:identifier>
      <dc:date>2020-09-23T13:24:20</dc:date>
      <dc:title>Clarence Strait Model Grid</dc:title>
      <dc:subject>features</dc:subject>
      <dc:subject>clarence68-face</dc:subject>
      <dc:subject>Tidal Energy | Context Layers</dc:subject>
      <dct:abstract>"Full Geometry of regional Clarence Strait Tidal Model grid "</dct:abstract>
      <dc:description>"Full Geometry of regional Clarence Strait Tidal Model grid "</dc:description>
      <dc:language />
      <ows:BoundingBox crs="::EPSG:4326">
        <ows:LowerCorner>132.962415 -12.802737</ows:LowerCorner>
        <ows:UpperCorner>129.5 -10.5</ows:UpperCorner>
      </ows:BoundingBox>
      <dc:type>dataset</dc:type>
      <dc:URI protocol="OGC:WMS-1.1.1-http-get-map" name="tidal:ClarenceStraitModelGrid" description="Clarence Strait Model Grid">http://oa-gis.csiro.au/geoserver/wms?SERVICE=WMS&amp;</dc:URI>
      <dc:URI protocol="image/png" name="Default Polygon (LegendURL)" description="">http://oa-gis.csiro.au/geoserver/wms?request=GetLegendGraphic&amp;format=image%2Fpng&amp;width=20&amp;height=20&amp;layer=tidal%3AClarenceStraitModelGrid</dc:URI>
    </csw:Record>
    <csw:Record xmlns:srv="http://www.isotc211.org/2005/srv" xmlns:gco="http://www.isotc211.org/2005/gco" xmlns:mcp="http://bluenet3.antcrc.utas.edu.au/mcp" xmlns:gmx="http://www.isotc211.org/2005/gmx" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:geonet="http://www.fao.org/geonetwork" xmlns:dct="http://purl.org/dc/terms/" xmlns:ows="http://www.opengis.net/ows" xmlns:gml="http://www.opengis.net/gml" xmlns:gmd="http://www.isotc211.org/2005/gmd">
      <dc:identifier>81639246bd4827b3b3a3923909729cc4b093cbab</dc:identifier>
      <dc:date>2020-09-23T13:24:20</dc:date>
      <dc:title>Sea Surface Temperature Annual RMSE - 1993-2013</dc:title>
      <dc:subject>Oceans | Ocean Temperature | Sea Surface Temperature</dc:subject>
      <dc:subject>WCS</dc:subject>
      <dc:subject>GeoTIFF</dc:subject>
      <dc:subject>annualRMSE_31July2014</dc:subject>
      <dc:subject>Multiple Use | Sea Surface Temperature</dc:subject>
      <dct:abstract>The physical climate defines a significant portion of the habitats in which biological communities and species reside. It is important to quantify these environmental conditions, and how they have changed, as this will inform future efforts to study many natural systems. We present the results of a statistical  summary of the variability in sea surface temperature (SST) time-series data for the
waters surrounding Australia, from 1993 to 2013. We partition variation in the SST series into annual trends, inter-annual trends, and a number of components of random variation. We utilise satellite data and validate the statistical summary from these data to summaries of data from long-term monitoringstations and from the global drifter program. The spatially dense results show clear trends that associate with oceanographic features. N