cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4225/08/548151a8acfb9
title: 9-second gridded continental Australia potential degree of ecological change for Reptiles 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: REP_r3_v2)

description: Potential degree of ecological change in Reptiles as a function of change in long term (30 year average) climates between the present (1990 centred) and projected future (2050 centred) under the MIROC5 model (RCP 8.5) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 

This metric describes the change in long term average environmental conditions at a single location (9s grid square) from the present (1990 centred) to a 2050 centred future, scaled in terms of its expected effects on the turnover of species. Compositional turnover patterns in amphibian species across continental Australia were derived using Generalised Dissimilarity Modelling (GDM). These models use best-available biological data extracted from the Atlas of Living Australia (ALA) in 2013, and spatial environmental predictor data compiled at 9 second resolution. GDM-scaled environmental grids were used as the basis for pairwise cell comparisons across space and time using the highly parallel CSIRO Muru software to derive the potential degree of ecological change. Each location is compared with its future state. The difference in environment is presented as an expected ecological similarity, ranging from 1 (completely similar) to 0, for which we would expect no species in common. If this environmental difference was observed in a different spatial location within the present, we would expect to observe such a difference if we visited both sites. 

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 in two forms:
1. Zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file.
2. ArcGIS layer package (*.lpk): These packages contain can be unpacked by ArcGIS as a raster with associated legend.

Additionally a short methods summary is provided in the file 9sMethodsSummary.pdf for further information.

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE_ TO SCENARIO_ ANALYSIS
e.g. A_90_CAN85_S or R_90_MIR85_L
where BIOLOGICAL GROUP is A: Reptiles, M: Reptiles, R: reptiles and V: vascular plants
DOI: 10.4225/08/548151d3c1550
title: 9-second gridded continental Australia potential degree of ecological change for Amphibians 1990:2050 CanESM2 RCP 8.5 (CMIP5) (GDM: AMP_r2_PTS1)

description: Potential degree of ecological change in Amphibians as a function of change in long term (30 year average) climates between the present (1990 centred) and projected future (2050 centred) under the CanESM2 model (RCP 8.5) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 

This metric describes the change in long term average environmental conditions at a single location (9s grid square) from the present (1990 centred) to a 2050 centred future, scaled in terms of its expected effects on the turnover of species. Compositional turnover patterns in amphibian species across continental Australia were derived using Generalised Dissimilarity Modelling (GDM). These models use best-available biological data extracted from the Atlas of Living Australia (ALA) in 2013, and spatial environmental predictor data compiled at 9 second resolution. GDM-scaled environmental grids were used as the basis for pairwise cell comparisons across space and time using the highly parallel CSIRO Muru software to derive the potential degree of ecological change. Each location is compared with its future state. The difference in environment is presented as an expected ecological similarity, ranging from 1 (completely similar) to 0, for which we would expect no species in common. If this environmental difference was observed in a different spatial location within the present, we would expect to observe such a difference if we visited both sites. 

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 in two forms:
1. Zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file.
2. ArcGIS layer package (*.lpk): These packages contain can be unpacked by ArcGIS as a raster with associated legend.

Additionally a short methods summary is provided in the file 9sMethodsSummary.pdf for further information.Tom HA

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE_ TO SCENARIO_ ANALYSIS
e.g. A_90_CAN85_S or R_90_MIR85_L
where BIOLOGICAL GROUP is A: amphibians, M: mammals, R: reptiles and V: vascular plants
DOI: 10.4225/25/5487c4cad102a
title: Seabed gravel, mud and sand content in the Browse region in the Australian continental EEZ 2014

description: This dataset provides the spatially continuous data of seabed gravel (sediment fraction &gt;2000 �m), mud  (sediment fraction &lt; 63 �m) and sand content (sediment fraction 63-2000 �m) expressed as a weight percentage ranging from 0 to 100%, presented in 0.0025 decimal degree (dd) resolution raster grids format and ascii text file. 

The dataset covers the Browse region in the Australian continental EEZ.

This dataset supersedes previous predictions of sediment gravel, mud and sand content for the basin with demonstrated improvements in accuracy. Accuracy of predictions varies based on density of underlying data and level of seabed complexity. Artefacts occur in this dataset as a result of insufficient samples in relevant regions. This dataset is intended for use at the basin scale. The dataset may not be appropriate for use at smaller scales in areas where sample density is insufficient to detect local variation in sediment properties. To obtain the most accurate interpretation of sediment distribution in these areas, it is recommended that additional samples be collected and predictions updated.
DOI: 10.14457/cmu.res.2010.99
title: การตรวจดีเอนเอที่ติดกับด้ามมีดพลาสติก จากการสัมผัสเพื่อพิสูจน์บุคคล /
DOI: 10.14457/cmu.the.1992.9
title: การตรวจวัดรังสีแกมมาจากธาตุยูเรเนียม ทอเรียม และโพแทสเซียม ณ ดอยแปปอมัก บ้านดอยเต่า อำเภอดอยเต่า จังหวัดเชียงใหม่ /
DOI: 10.14457/ku.the.2006.816
title: Physiological responses of cotton [Gossypium hirsutum L.] to the intercropping with mungbean [Vigna radiata L.] /
DOI: 10.14457/ku.the.2007.626
title: การเปรียบเทียบชนิดคาร์โบไฮเดรตที่เป็นองค์ประกอบของแหนมปลา
DOI: 10.14457/ku.the.2008.473
title: Oral communication problems of Thai and foreign employees in Benchmark Electronics (Thailand) Public Co., Ltd
DOI: 10.14457/ku.the.2008.489
title: การเปรียบเทียบประสิทธิภาพของปุ๋ยหมักในการปรับปรุงสมบัติ และการดูดซับธาตุอาหารพืชของชุดดินกำแพงแสน
DOI: 10.14457/ku.the.2011.445
title: การเปรียบเทียบคุณภาพบริการที่คาดหวังและการรับรู้ของผู้ใช้บริการ โรงแรมระดับ 5 ดาว ในเขตกรุงเทพมหานคร
DOI: 10.14457/ku.the.2012.314
title: การเปรียบเทียบการกำจัดสีย้อมผ้าในน้ำทิ้งจากโรงงานย้อมผ้าโครงการพัฒนาดอยตุง อันเนื่องมาจากพระราชดำริ ด้วยผงเมล็ดมะรุมและถ่านบิทูมินัสเชิงพาณิชย์ และการประยุกต์ใช้ผงเมล็ดมะรุมในกระบวนการโคแอคกูเลชั่น
DOI: 10.4225/08/548152a445490
title: 9-second gridded continental Australia potential degree of ecological change for Vascular Plants 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: VAS_v5_r11)

description: Potential degree of ecological change in Vascular Plants as a function of change in long term (30 year average) climates between the present (1990 centred) and projected future (2050 centred) under the MIROC5 model (RCP 8.5) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 

This metric describes the change in long term average environmental conditions at a single location (9s grid square) from the present (1990 centred) to a 2050 centred future, scaled in terms of its expected effects on the turnover of species. Compositional turnover patterns in amphibian species across continental Australia were derived using Generalised Dissimilarity Modelling (GDM). These models use best-available biological data extracted from the Atlas of Living Australia (ALA) in 2013, and spatial environmental predictor data compiled at 9 second resolution. GDM-scaled environmental grids were used as the basis for pairwise cell comparisons across space and time using the highly parallel CSIRO Muru software to derive the potential degree of ecological change. Each location is compared with its future state. The difference in environment is presented as an expected ecological similarity, ranging from 1 (completely similar) to 0, for which we would expect no species in common. If this environmental difference was observed in a different spatial location within the present, we would expect to observe such a difference if we visited both sites. 

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 in two forms:
1. Zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file.
2. ArcGIS layer package (*.lpk): These packages contain can be unpacked by ArcGIS as a raster with associated legend.

Additionally a short methods summary is provided in the file 9sMethodsSummary.pdf for further information.

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE_ TO SCENARIO_ ANALYSIS
e.g. A_90_CAN85_S or R_90_MIR85_L
where BIOLOGICAL GROUP is A: Vascular Plants, M: Vascular Plants, R: Vascular Plants and V: vascular plants
DOI: 10.14457/cu.the.2006.100
title: การจัดการกำไรของบริษัทจดทะเบียน ในตลาดหลัดทรัพย์แห่งประเทศไทยก่อนและหลังการจัดตั้งคณะกรรมการตรวจสอบ /
DOI: 10.14457/cu.the.2009.104
title: การจัดการการไหลของข้อมูลข่าวสารสาธารณะของบริษัท ไปรษณีย์ไทย จำกัด /
DOI: 10.14457/ku.res.2008.4
title: Perceptions of Thai youth on whitening cream :
DOI: 10.14457/ku.the.2006.811
title: Partial oxidation of methane on transition metals supported on HZSM-5 zeolites /
DOI: 10.14457/ku.the.2008.485
title: การเติบโตและการใช้น้ำของกล้าไม้ยางนา (Dipterocarpus alarus Roxb. ex G.Don) ที่อยู่ร่วมกับเห็ดเผาะหนัง (Astraeus odorotus C. Phosri, R. Watling M.P. Martin & A.J.S. Whalley) แบบเอคโตไมคอร์ไรซา
DOI: 10.14457/ku.the.2010.517
title: การเปรียบเทียบพันธุ์อ้อยกำแพงแสนในเขตภาคตะวันออกเฉียงเหนือ
DOI: 10.14457/ku.the.2010.519
title: การเปรียบเทียบวิธีการทางสถิติของการจำแนกกลุ่มกำไรขาดทุนของสหกรณ์ออมทรัพย์ในประเทศไทย
DOI: 10.14457/ku.the.2010.520
title: การเปรียบเทียบอำนาจการทดสอบของสถิติทดสอบสำหรับการทดสอบความเท่ากันของความแปรปรวน
DOI: 10.14457/ku.the.2012.319
title: การเปรียบเทียบวิธีการประมาณค่าสูญหายแบบร่วม
DOI: 10.4225/08/54815db0b1efe
title: 9-second gridded continental Australia change in effective area of similar ecological environments (cleared natural areas) for Mammals 1990:2050 CanESM2 RCP 8.5 (CMIP5) (GDM: MAM_R2)

description: Proportional change in effective area of similar ecological environments for Mammals as a function of land clearing and change in long term (30 year average) climates between the present (1990 centred) and projected future (2050 centred) under the CanESM2 model (RCP 8.5) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 

This metric describes the combined effects of climate change and land clearing on the area of similar environments to each grid cell as a proportion. Each cell is compared with a sample of 60,000 points in both the present uncleared landscape and an alternative scenario (either present with clearing, or future with clearing), and the pairwise similarities summed (e.g. a completely similar cell will contribute 1, a dissimilar cell 0, with a range of values in between). Only cells which are flagged as uncleared contribute. For each time point, this describes the area of similar environments, which will be low for rare environments and high for widely distributed environments. By dividing the test area by the current area, we are able to quantify the reduction in area as a function of land use/climate change. Values less than one indicate a reduction, values of 1 no change, and values greater than 1 (rare cases in the north) show an increase in similar environments.

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 in two forms:
1. Zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file.
2. ArcGIS layer package (*.lpk): These packages contain can be unpacked by ArcGIS as a raster with associated legend.

Additionally a short methods summary is provided in the file 9sMethodsSummary.pdf for further information.Tom HA

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE_ TO SCENARIO_ ANALYSIS
e.g. A_90_CAN85_S or R_90_MIR85_L
where BIOLOGICAL GROUP is A: Mammals, M: mammals, R: reptiles and V: vascular plants
DOI: 10.14457/cu.the.2005.78
title: การจัดการกำไรของบริษัทที่เสนอขายหลักทรัพย์ ต่อสาธารณชนครั้งแรกในตลาดหลักทรัพย์แห่งประเทศไทย /
DOI: 10.14457/cu.the.2006.101
title: การจัดการความขัดแย้ง ด้านมลภาวะทางเสียง ของท่าอากาศยานสุวรรณภูมิ /
DOI: 10.14457/ku.the.2010.482
title: Modeling and life cycle environmental assessment of conventional and degradable plastic packages
DOI: 10.14457/ku.the.2010.513
title: การเปรียบเทียบประสิทธิภาพแผนภูมิควบคุมคุณภาพในการตรวจพบ การเปลี่ยนแปลงค่าเฉลี่ยของกระบวนการผลิต
DOI: 10.4225/08/54815efe077d2
title: 9-second gridded continental Australia change in effective area of similar ecological environments (intact) for Mammals 1990:2050 CanESM2 RCP 8.5 (CMIP5) (GDM: MAM_R2)

description: Proportional change in effective area of similar ecological environments for Mammals as a function of change in long term (30 year average) climates between the present (1990 centred) and projected future (2050 centred) under the CanESM2 model (RCP 8.5) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 

This metric describes the effects of climate change on the area of similar environments to each grid cell, expressed as a proportion of original area. Each cell is compared with a sample of 60,000 points in both the present and the future, and the pairwise similarities summed (e.g. a completely similar cell will contribute 1, a dissimilar cell 0, with a range of values in between). For each time point, this describes the area of similar environments, which for the present will be low for rare environments and high for widely distributed environments. By dividing the future area by the current area, we are able to quantify the proportional reduction in area as a function of climate change. Values less than one indicate a reduction, values of 1 no change, and values greater than 1 (rare cases in the north) show an increase in similar environments.

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 in two forms:
1. Zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file.
2. ArcGIS layer package (*.lpk): These packages contain can be unpacked by ArcGIS as a raster with associated legend.

Additionally a short methods summary is provided in the file 9sMethodsSummary.pdf for further information.Tom HA

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE_ TO SCENARIO_ ANALYSIS
e.g. A_90_CAN85_S or R_90_MIR85_L
where BIOLOGICAL GROUP is A: Mammals, M: mammals, R: reptiles and V: vascular plants
DOI: 10.4225/08/5487df9300ad2
title: 9-second gridded continental Australia change in effective area of similar ecological environments (cleared natural areas) for Reptiles 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: REP_r3_v2)

description: Proportional change in effective area of similar ecological environments for Reptiles as a function of land clearing and change in long term (30 year average) climates between the present (1990 centred) and projected future (2050 centred) under the MIROC5 model (RCP 8.5) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 

This metric describes the combined effects of climate change and land clearing on the area of similar environments to each grid cell as a proportion. Each cell is compared with a sample of 60,000 points in both the present uncleared landscape and an alternative scenario (either present with clearing, or future with clearing), and the pairwise similarities summed (e.g. a completely similar cell will contribute 1, a dissimilar cell 0, with a range of values in between). Only cells which are flagged as uncleared contribute. For each time point, this describes the area of similar environments, which will be low for rare environments and high for widely distributed environments. By dividing the test area by the current area, we are able to quantify the reduction in area as a function of land use/climate change. Values less than one indicate a reduction, values of 1 no change, and values greater than 1 (rare cases in the north) show an increase in similar environments.

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 in two forms:
1. Zipped ESRI float grids: Binary float grids (*.flt) with associated ESRI header files (*.hdr) and projection files (*.prj). After extracting from the zip archive, these files can be imported into most GIS software packages, and can be used as other binary file formats by substituting the appropriate header file.
2. ArcGIS layer package (*.lpk): These packages contain can be unpacked by ArcGIS as a raster with associated legend.

Additionally a short methods summary is provided in the file 9sMethodsSummary.pdf for further information.

Layers in this 9s series use a consistent naming convention:
BIOLOGICAL GROUP _ FROM BASE_ TO SCENARIO_ ANALYSIS
e.g. A_90_CAN85_S or R_90_MIR85_L
where BIOLOGICAL GROUP is A: Mammals, M: mammals, R: reptiles and V: vascular plants
DOI: 10.14457/ku.the.2006.815
title: Physiological and biochemical studies on the germination response of cucumber seeds to hydropriming and electric field treatments /
DOI: 10.14457/ku.the.2008.491
title: การเปรียบเทียบผลสัมฤทธิ์ทางการเรียนจากบทเรียนคอมพิวเตอร์ช่วยสอนที่มีการนำเสนอด้วยภาพ 2 รูปแบบ เรื่อง อริยสัจ 4 สำหรับนักเรียนชั้นประถมศึกษาปีที่ 5
DOI: 10.14457/ku.the.2009.652
title: Posityvity and periodicity of linear recurrence relation
DOI: 10.14457/ku.the.2011.450
title: การเปรียบเทียบผลการเต้นแอโรบิกกับพลองแอโรบิกที่มีต่อความอดทน ของระบบไหลเวียนเลือดของนิสิตหญิง มหาวิทยาลัยเกษตรศาสตร์
DOI: 10.14457/ku.the.2012.297
title: Multilevel and multi-dimensional thresholding
DOI: 10.14457/ku.the.2012.303
title: Population genetic study of anopheles harrisoni (Diptera : Culicidae) and sequence-based multilocus phylogenetic reconstruction of Malaria Vectors in Thailand
DOI: 10.4225/25/5487d7b920f51
title: Water Observations from Space

description: WOfS is a gridded dataset indicating areas where surface water has been observed using the Geoscience Australia (GA) Earth observation satellite data holdings. The WOfS product Version 1.0 includes observations taken between 1998 and 2012 (inclusive) from the Landsat 5 and 7 satellites. WOfS version 1.5 includes observations from 1987 to March 2014. Future versions of the product will extend the temporal range and diversify the data sources. WOfS covers all of mainland Australia and Tasmania but excludes off-shore Territories.
DOI: 10.14457/cu.the.2008.100
title: การจัดการจัดกิจกรรมนันทนาการการท่องเที่ยวโดยชุมชน : กรณีศึกษาเกาะยาวน้อย จังหวัดพังงา /
DOI: 10.14457/ku.the.2006.807
title: Morphological development of glochidia in artificial media culture through juvenile of freshwater pearl mussel, Hyriopsis [Hyriopsis] bialatus Simpson, 1900 /
DOI: 10.14457/ku.the.2007.614
title: Pipeline emergency shutdown valve (pesdv) integrity study :
DOI: 10.14457/ku.the.2008.495
title: การเปรียบเทียบวิธีการทดสอบการแจกแจงปกติหลานตัวแปร 3 วิธี: สถิติ H สถิติ T และสถิติ O
DOI: 10.14457/ku.the.2009.653
title: Preparation and characterization of activated carbon from Bambusa arundinacea [Retz] Wild, Bambusa oldhamii and Gigantochloa verticiliata /
DOI: 10.14457/ku.the.2010.487
title: Needs and problems about academic English reading of veterinary undergraduate students at Kasetsart University
DOI: 10.14457/ku.the.2010.496
title: การออกแบบอย่างมีประสิทธิภาพของการสลับลำดับข้อมูลแบบคอนโวลูชันนอลในระบบสื่อสารแบบไร้สายข้อมูลภาพแบบ MPEG-4
DOI: 10.14457/ku.the.2010.516
title: การเปรียบเทียบผลสัมฤทธิ์ทางการเรียนและความคงทนในการจำของนักเรียนชั้นมัธยมศึกษาปีที่ 3 ที่เรียนจากบทเรียนบนเว็บ เรื่องวันสำคัญทางพระพุทธศาสนาด้วยวิธีการนำเสนอ 2 รูปแบบ
DOI: 10.14457/ku.the.2011.431
title: Plant fitness comparison between transgenic papaya ringspot virus (PRSV) resistant and non-trensgenic papaya under screenhouse condition
DOI: 10.14457/ku.the.2011.433
title: Prevalence, risk factors, and quantitative risk assessment (Introduction Level) of caprine arthritis encephalitis virus in meat goat at Chainat province, during october 2009 to October 2010
DOI: 10.14457/cmu.the.2002.29
title: การดูแลที่เน้นผู้ป่วยเป็นศูนย์กลางในการบริหารยาตามการรับรู้ ของพยาบาลและผู้ป่วย /
DOI: 10.14457/cmu.the.2006.39
title: การดูแลสุขภาพตนเองของผู้สูงอายุในชุมชนหัวฝาย /
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