cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/5c36d9c87f683
title: r_90can85_snd: 9-second gridded continental Australia composite ecological change for Reptiles 1990:2050 CanESM2 RCP 8.5 (CMIP5) (GDM: REP_R3_V2)

description: Composite ecological change as a function of three metrics (the potential degree of ecological change and of disappearing and novel ecological environments) shows where change might be greatest and different types of vulnerability using 30-year climate averages between the present (1990:1976- 2005) and projected future (2050:2036-2065) under the CanESM2 global climate model (RCP 8.5), based on a Generalised Dissimilarity Modelling (GDM) of compositional turnover for reptiles (REP_R3_V2). 

Wherever the Potential degree of ecological change is scored low, ecological environments can neither be novel nor disappearing and minimal change is expected. But when the Potential degree of ecological change is scored high, a variety of possible types of change can occur depending on whether scores for Novel and/or Disappearing ecological environments are also high. 

To create a composite view, we assigned each of the three component measures to a colour band in a composite-band raster: local similarity as shades of green (inverted, 1-0 rescaled 0-255); novel as shades of blue (0-1 rescaled 0-255); and disappearing as shades of red (0-1 rescaled 0-255). The three layers can then be mapped simultaneously (red: band 3; green: band 1; blue: band 2) each scaled 0-255 to show the varying degrees of similar, novel and disappearing ecological environments and their combinations. 

This metric was developed along with others for use in an assessment of the efficacy of the protected area system for biodiversity under climate change at continental and global scales, presented at the IUCN World Parks Congress 2014. It is described in the AdaptNRM Guide “Implications of Climate Change for Biodiversity: a community-level modelling approach”, available online at: www.adaptnrm.org. 

Data are provided as zipped ESRI tiff grids containing: raster image (*.tif) with associated header (*.tfw) and projection (*.xml) files. After extracting from the zip archive, these files can be imported into most GIS software packages. A readme file describes how to correctly reproduce the colour legend. In ArcGIS, the symbology statistics file can be used: "SND_display.stat.XML". 

Reproducing RGB composite colours for 3-band raster in ArcGIS: 
1. In file properties in ARCGIS, Symbology tab, Load XML "SND_display.stat.XML"
2. RED = BAND_3 (Disappearing)
3. GREEN = BAND_1 (Similarity )
4. BLUE = BAND_2 (Novel)
5. Always use min-max legend
6. Set each band in the custom range 0-255, mean = 126, std = 0

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE TO SCENARIO _ ANALYSIS
e.g. A_90CAN85_SND or R_90MIR85_SND
where BIOLOGICAL GROUP is A: amphibians, M: mammals, R: reptiles and V: vascular plants
and scenario is CAN: CanESM2; MIR: MIROC5
analysis, SND refers to – similarity, novel, disappearing
DOI: 10.25919/5c36d9d195fcf
title: r_90mir85_snd: 9-second gridded continental Australia composite ecological change for Reptiles 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: REP_R3_V2)

description: Composite ecological change as a function of three metrics (the potential degree of ecological change and of disappearing and novel ecological environments) shows where change might be greatest and different types of vulnerability using 30-year climate averages between the present (1990:1976- 2005) and projected future (2050:2036-2065) under the MIROC5 global climate model (RCP 8.5), based on a Generalised Dissimilarity Modelling (GDM) of compositional turnover for reptiles (REP_R3_V2). 

Wherever the Potential degree of ecological change is scored low, ecological environments can neither be novel nor disappearing and minimal change is expected. But when the Potential degree of ecological change is scored high, a variety of possible types of change can occur depending on whether scores for Novel and/or Disappearing ecological environments are also high. 

To create a composite view, we assigned each of the three component measures to a colour band in a composite-band raster: local similarity as shades of green (inverted, 1-0 rescaled 0-255); novel as shades of blue (0-1 rescaled 0-255); and disappearing as shades of red (0-1 rescaled 0-255). The three layers can then be mapped simultaneously (red: band 3; green: band 1; blue: band 2) each scaled 0-255 to show the varying degrees of similar, novel and disappearing ecological environments and their combinations. 

This metric was developed along with others for use in an assessment of the efficacy of the protected area system for biodiversity under climate change at continental and global scales, presented at the IUCN World Parks Congress 2014. It is described in the AdaptNRM Guide “Implications of Climate Change for Biodiversity: a community-level modelling approach”, available online at: www.adaptnrm.org. 

Data are provided as zipped ESRI tiff grids containing: raster image (*.tif) with associated header (*.tfw) and projection (*.xml) files. After extracting from the zip archive, these files can be imported into most GIS software packages. A readme file describes how to correctly reproduce the colour legend. In ArcGIS, the symbology statistics file can be used: "SND_display.stat.XML". 

Reproducing RGB composite colours for 3-band raster in ArcGIS: 
1. In file properties in ARCGIS, Symbology tab, Load XML "SND_display.stat.XML"
2. RED = BAND_3 (Disappearing)
3. GREEN = BAND_1 (Similarity )
4. BLUE = BAND_2 (Novel)
5. Always use min-max legend
6. Set each band in the custom range 0-255, mean = 126, std = 0

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE TO SCENARIO _ ANALYSIS
e.g. A_90CAN85_SND or R_90MIR85_SND
where BIOLOGICAL GROUP is A: amphibians, M: mammals, R: reptiles and V: vascular plants
and scenario is CAN: CanESM2; MIR: MIROC5
analysis, SND refers to – similarity, novel, disappearing
DOI: 10.25919/5c36d9e104b69
title: v_90can85_snd: 9-second gridded continental Australia composite ecological change for Vascular Plants 1990:2050 CanESM2 RCP 8.5 (CMIP5) (GDM: VAS_v5_r11)

description: Composite ecological change as a function of three metrics (the potential degree of ecological change and of disappearing and novel ecological environments) shows where change might be greatest and different types of vulnerability using 30-year climate averages between the present (1990:1976- 2005) and projected future (2050:2036-2065) under the CanESM2 global climate model (RCP 8.5), based on a Generalised Dissimilarity Modelling (GDM) of compositional turnover for vascular plants (VAS_v5_r11). 

Wherever the Potential degree of ecological change is scored low, ecological environments can neither be novel nor disappearing and minimal change is expected. But when the Potential degree of ecological change is scored high, a variety of possible types of change can occur depending on whether scores for Novel and/or Disappearing ecological environments are also high. 

To create a composite view, we assigned each of the three component measures to a colour band in a composite-band raster: local similarity as shades of green (inverted, 1-0 rescaled 0-255); novel as shades of blue (0-1 rescaled 0-255); and disappearing as shades of red (0-1 rescaled 0-255). The three layers can then be mapped simultaneously (red: band 3; green: band 1; blue: band 2) each scaled 0-255 to show the varying degrees of similar, novel and disappearing ecological environments and their combinations. 

This metric was developed along with others for use in an assessment of the efficacy of the protected area system for biodiversity under climate change at continental and global scales, presented at the IUCN World Parks Congress 2014. It is described in the AdaptNRM Guide “Implications of Climate Change for Biodiversity: a community-level modelling approach”, available online at: www.adaptnrm.org. 

Data are provided as zipped ESRI tiff grids containing: raster image (*.tif) with associated header (*.tfw) and projection (*.xml) files. After extracting from the zip archive, these files can be imported into most GIS software packages. A readme file describes how to correctly reproduce the colour legend. In ArcGIS, the symbology statistics file can be used: "SND_display.stat.XML". 

Reproducing RGB composite colours for 3-band raster in ArcGIS: 
1. In file properties in ARCGIS, Symbology tab, Load XML "SND_display.stat.XML"
2. RED = BAND_3 (Disappearing)
3. GREEN = BAND_1 (Similarity )
4. BLUE = BAND_2 (Novel)
5. Always use min-max legend
6. Set each band in the custom range 0-255, mean = 126, std = 0

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE TO SCENARIO _ ANALYSIS
e.g. A_90CAN85_SND or R_90MIR85_SND
where BIOLOGICAL GROUP is A: amphibians, M: mammals, R: reptiles and V: vascular plants
and scenario is CAN: CanESM2; MIR: MIROC5
analysis, SND refers to – similarity, novel, disappearing
DOI: 10.25919/5c36d9ecd7c0e
title: v_90mir85_snd: 9-second gridded continental Australia composite ecological change for Vascular Plants 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: VAS_v5_r11)

description: Composite ecological change as a function of three metrics (the potential degree of ecological change and of disappearing and novel ecological environments) shows where change might be greatest and different types of vulnerability using 30-year climate averages between the present (1990:1976- 2005) and projected future (2050:2036-2065) under the MIROC5 global climate model (RCP 8.5), based on a Generalised Dissimilarity Modelling (GDM) of compositional turnover for vascular plants (VAS_v5_r11). 

Wherever the Potential degree of ecological change is scored low, ecological environments can neither be novel nor disappearing and minimal change is expected. But when the Potential degree of ecological change is scored high, a variety of possible types of change can occur depending on whether scores for Novel and/or Disappearing ecological environments are also high. 

To create a composite view, we assigned each of the three component measures to a colour band in a composite-band raster: local similarity as shades of green (inverted, 1-0 rescaled 0-255); novel as shades of blue (0-1 rescaled 0-255); and disappearing as shades of red (0-1 rescaled 0-255). The three layers can then be mapped simultaneously (red: band 3; green: band 1; blue: band 2) each scaled 0-255 to show the varying degrees of similar, novel and disappearing ecological environments and their combinations. 

This metric was developed along with others for use in an assessment of the efficacy of the protected area system for biodiversity under climate change at continental and global scales, presented at the IUCN World Parks Congress 2014. It is described in the AdaptNRM Guide “Implications of Climate Change for Biodiversity: a community-level modelling approach”, available online at: www.adaptnrm.org. 

Data are provided as zipped ESRI tiff grids containing: raster image (*.tif) with associated header (*.tfw) and projection (*.xml) files. After extracting from the zip archive, these files can be imported into most GIS software packages. A readme file describes how to correctly reproduce the colour legend. In ArcGIS, the symbology statistics file can be used: "SND_display.stat.XML". 

Reproducing RGB composite colours for 3-band raster in ArcGIS: 
1. In file properties in ARCGIS, Symbology tab, Load XML "SND_display.stat.XML"
2. RED = BAND_3 (Disappearing)
3. GREEN = BAND_1 (Similarity )
4. BLUE = BAND_2 (Novel)
5. Always use min-max legend
6. Set each band in the custom range 0-255, mean = 126, std = 0

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE TO SCENARIO _ ANALYSIS
e.g. A_90CAN85_SND or R_90MIR85_SND
where BIOLOGICAL GROUP is A: amphibians, M: mammals, R: reptiles and V: vascular plants
and scenario is CAN: CanESM2; MIR: MIROC5
analysis, SND refers to – similarity, novel, disappearing
DOI: 10.25919/5c36d9f51804d
title: Parkes observations for project P864 semester 2014APRS

description: The Fast Radio Bursts (FRBs) discovered in 2007 are the very first detections of extragalactic coherent radio emission. Though similar in nature to the giant single pulses emitted by the Rotating Radio Transients (RRATs) in terms of their cold plasma dispersion sweeps and narrow pulse widths, FRBs have not yet been detected in follow up observations at radio or other wavelengths. Our pilot study will examine the feasibility to determine the Rotation Measures (RM) of moderately bright RRAT single pulses similar to FRBs. Since the FRBs are highly energetic pulses of very short duration, they can be assumed to be polarised. This study to measure single pulse RMs could then open up a whole new possibility to map the extragalactic magnetic field of the Universe through FRB polarimetry. At present, we do not know whether cosmological magnetic fields exist, but the detection of sufficiently strong fields would open up a new observational window into the early Universe. The Warm-Hot Intergalactic Medium (WHIM) is believed to be the residing place of the Universeâs missing baryonic matter. If the RM of an FRB can be determined through the diffuse WHIM, it would be the beginning to our understanding of the matter distribution within the cosmic web.
DOI: 10.25919/5c36d9ff5d4ef
title: Parkes pulsar observations with undefined project IDs for 2014

description: Parkes pulsar observations with undefined project IDs for 2014
DOI: 10.25919/5c36da07770ec
title: a_90can85_snd: 9-second gridded continental Australia composite ecological change for Amphibian 1990:2050 CanESM2 RCP 8.5 (CMIP5) (GDM: AMP_R2_PTS1)

description: Composite ecological change as a function of three metrics (the potential degree of ecological change and of disappearing and novel ecological environments) shows where change might be greatest and different types of vulnerability using 30-year climate averages between the present (1990:1976- 2005) and projected future (2050:2036-2065) under the CanESM2 global climate model (RCP 8.5), based on a Generalised Dissimilarity Modelling (GDM) of compositional turnover for amphibian (AMP_R2_PTS1). 

Wherever the Potential degree of ecological change is scored low, ecological environments can neither be novel nor disappearing and minimal change is expected. But when the Potential degree of ecological change is scored high, a variety of possible types of change can occur depending on whether scores for Novel and/or Disappearing ecological environments are also high. 

To create a composite view, we assigned each of the three component measures to a colour band in a composite-band raster: local similarity as shades of green (inverted, 1-0 rescaled 0-255); novel as shades of blue (0-1 rescaled 0-255); and disappearing as shades of red (0-1 rescaled 0-255). The three layers can then be mapped simultaneously (red: band 3; green: band 1; blue: band 2) each scaled 0-255 to show the varying degrees of similar, novel and disappearing ecological environments and their combinations. 

This metric was developed along with others for use in an assessment of the efficacy of the protected area system for biodiversity under climate change at continental and global scales, presented at the IUCN World Parks Congress 2014. It is described in the AdaptNRM Guide “Implications of Climate Change for Biodiversity: a community-level modelling approach”, available online at: www.adaptnrm.org. 

Data are provided as zipped ESRI tiff grids containing: raster image (*.tif) with associated header (*.tfw) and projection (*.xml) files. After extracting from the zip archive, these files can be imported into most GIS software packages. A readme file describes how to correctly reproduce the colour legend. In ArcGIS, the symbology statistics file can be used: "SND_display.stat.XML". 

Reproducing RGB composite colours for 3-band raster in ArcGIS: 
1. In file properties in ARCGIS, Symbology tab, Load XML "SND_display.stat.XML"
2. RED = BAND_3 (Disappearing)
3. GREEN = BAND_1 (Similarity )
4. BLUE = BAND_2 (Novel)
5. Always use min-max legend
6. Set each band in the custom range 0-255, mean = 126, std = 0

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE TO SCENARIO _ ANALYSIS
e.g. A_90CAN85_SND or R_90MIR85_SND
where BIOLOGICAL GROUP is A: amphibians, M: mammals, R: reptiles and V: vascular plants
and scenario is CAN: CanESM2; MIR: MIROC5
analysis, SND refers to – similarity, novel, disappearing
DOI: 10.25919/5c36da10a9f45
title: a_90mir85_snd: 9-second gridded continental Australia composite ecological change for Amphibian 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: AMP_R2_PTS1)

description: Composite ecological change as a function of three metrics (the potential degree of ecological change and of disappearing and novel ecological environments) shows where change might be greatest and different types of vulnerability using 30-year climate averages between the present (1990:1976- 2005) and projected future (2050:2036-2065) under the MIROC5 global climate model (RCP 8.5), based on a Generalised Dissimilarity Modelling (GDM) of compositional turnover for amphibian (AMP_R2_PTS1). 

Wherever the Potential degree of ecological change is scored low, ecological environments can neither be novel nor disappearing and minimal change is expected. But when the Potential degree of ecological change is scored high, a variety of possible types of change can occur depending on whether scores for Novel and/or Disappearing ecological environments are also high. 

To create a composite view, we assigned each of the three component measures to a colour band in a composite-band raster: local similarity as shades of green (inverted, 1-0 rescaled 0-255); novel as shades of blue (0-1 rescaled 0-255); and disappearing as shades of red (0-1 rescaled 0-255). The three layers can then be mapped simultaneously (red: band 3; green: band 1; blue: band 2) each scaled 0-255 to show the varying degrees of similar, novel and disappearing ecological environments and their combinations. 

This metric was developed along with others for use in an assessment of the efficacy of the protected area system for biodiversity under climate change at continental and global scales, presented at the IUCN World Parks Congress 2014. It is described in the AdaptNRM Guide “Implications of Climate Change for Biodiversity: a community-level modelling approach”, available online at: www.adaptnrm.org. 

Data are provided as zipped ESRI tiff grids containing: raster image (*.tif) with associated header (*.tfw) and projection (*.xml) files. After extracting from the zip archive, these files can be imported into most GIS software packages. A readme file describes how to correctly reproduce the colour legend. In ArcGIS, the symbology statistics file can be used: "SND_display.stat.XML". 

Reproducing RGB composite colours for 3-band raster in ArcGIS: 
1. In file properties in ARCGIS, Symbology tab, Load XML "SND_display.stat.XML"
2. RED = BAND_3 (Disappearing)
3. GREEN = BAND_1 (Similarity )
4. BLUE = BAND_2 (Novel)
5. Always use min-max legend
6. Set each band in the custom range 0-255, mean = 126, std = 0

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE TO SCENARIO _ ANALYSIS
e.g. A_90CAN85_SND or R_90MIR85_SND
where BIOLOGICAL GROUP is A: amphibians, M: mammals, R: reptiles and V: vascular plants
and scenario is CAN: CanESM2; MIR: MIROC5
analysis, SND refers to – similarity, novel, disappearing
DOI: 10.25919/5c36da23386eb
title: m_90can85_snd: 9-second gridded continental Australia composite ecological change for Mammals 1990:2050 CanESM2 RCP 8.5 (CMIP5) (GDM: MAM_R2)

description: Composite ecological change as a function of three metrics (the potential degree of ecological change and of disappearing and novel ecological environments) shows where change might be greatest and different types of vulnerability using 30-year climate averages between the present (1990:1976- 2005) and projected future (2050:2036-2065) under the CanESM2 global climate model (RCP 8.5), based on a Generalised Dissimilarity Modelling (GDM) of compositional turnover for mammals (MAM_R2). 

Wherever the Potential degree of ecological change is scored low, ecological environments can neither be novel nor disappearing and minimal change is expected. But when the Potential degree of ecological change is scored high, a variety of possible types of change can occur depending on whether scores for Novel and/or Disappearing ecological environments are also high. 

To create a composite view, we assigned each of the three component measures to a colour band in a composite-band raster: local similarity as shades of green (inverted, 1-0 rescaled 0-255); novel as shades of blue (0-1 rescaled 0-255); and disappearing as shades of red (0-1 rescaled 0-255). The three layers can then be mapped simultaneously (red: band 3; green: band 1; blue: band 2) each scaled 0-255 to show the varying degrees of similar, novel and disappearing ecological environments and their combinations. 

This metric was developed along with others for use in an assessment of the efficacy of the protected area system for biodiversity under climate change at continental and global scales, presented at the IUCN World Parks Congress 2014. It is described in the AdaptNRM Guide “Implications of Climate Change for Biodiversity: a community-level modelling approach”, available online at: www.adaptnrm.org. 

Data are provided as zipped ESRI tiff grids containing: raster image (*.tif) with associated header (*.tfw) and projection (*.xml) files. After extracting from the zip archive, these files can be imported into most GIS software packages. A readme file describes how to correctly reproduce the colour legend. In ArcGIS, the symbology statistics file can be used: "SND_display.stat.XML". 

Reproducing RGB composite colours for 3-band raster in ArcGIS: 
1. In file properties in ARCGIS, Symbology tab, Load XML "SND_display.stat.XML"
2. RED = BAND_3 (Disappearing)
3. GREEN = BAND_1 (Similarity )
4. BLUE = BAND_2 (Novel)
5. Always use min-max legend
6. Set each band in the custom range 0-255, mean = 126, std = 0

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE TO SCENARIO _ ANALYSIS
e.g. A_90CAN85_SND or R_90MIR85_SND
where BIOLOGICAL GROUP is A: amphibians, M: mammals, R: reptiles and V: vascular plants
and scenario is CAN: CanESM2; MIR: MIROC5
analysis, SND refers to – similarity, novel, disappearing
DOI: 10.25919/5c36da2b82c7d
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.

Access to this data collection is restricted and relies on scripts.

This data collection comprises ~50GB, &gt;10000 files of Tropical Cyclone Tracks, Storm tide model runs, other input information, derived statistical gridded data.
DOI: 10.25919/5c36da33d16f8
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).
DOI: 10.25919/5c36da3ca8473
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.

Access to this data is restricted and relies on scripts.

This data collection comprises 200GB , &gt;10000 files and scripts