cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4225/08/5587a6b2cabaa
title: 9-second gridded continental Australia revegetation benefit (cleared natural areas) for Mammals 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: MAM_r2)

description: Benefits of revegetation index for Mammals as a function of land clearing and changing climate based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 
This metric represents the marginal benefit from a unit increase of vegetation at the site, which is a direct function of the slope of the species area curve at the test state of the site. In practice, revegetation of the whole cell is likely to be impractical due to the availability of cleared land within the cell, and practical limitations such as land ownership and revegetation cost. The metric therefore excludes these factors from the analysis, allowing direct comparison of the relative benefit of a given area of revegetation between cells. The values of the index generated according to the above formula are generally low (since a significant area is required to support additional species) and the index is rescaled by multiplying by 1000 to bring it into an approximate 0-1 range.
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 “Helping Biodiversity Adapt: Supporting climate adaptation planning using 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 BiodiversityModellingMethodsSummary.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: amphibians, M: mammals, R: reptiles and V: vascular plants
DOI: 10.4225/08/5587a72d94895
title: 9-second gridded continental Australia revegetation benefit (cleared natural areas) for Reptiles 1990:1990 (GDM: REP_r3_v2)

description: Benefits of revegetation index for Amphibians as a function of land clearing within the present  long term (30 year average) climate (1990 centred) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 
This metric represents the marginal benefit from a unit increase of vegetation at the site, which is a direct function of the slope of the species area curve at the test state of the site. In practice, revegetation of the whole cell is likely to be impractical due to the availability of cleared land within the cell, and practical limitations such as land ownership and revegetation cost. The metric therefore excludes these factors from the analysis, allowing direct comparison of the relative benefit of a given area of revegetation between cells. The values of the index generated according to the above formula are generally low (since a significant area is required to support additional species) and the index is rescaled by multiplying by 1000 to bring it into an approximate 0-1 range.
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 “Helping Biodiversity Adapt: Supporting climate adaptation planning using 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 BiodiversityModellingMethodsSummary.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: amphibians, M: mammals, R: reptiles and V: vascular plants
DOI: 10.4225/08/5587a7584b914
title: 9-second gridded continental Australia revegetation benefit (cleared natural areas) for Reptiles 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: REP_r3_v2)

description: Benefits of revegetation index for Reptiles as a function of land clearing and changing climate based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 
This metric represents the marginal benefit from a unit increase of vegetation at the site, which is a direct function of the slope of the species area curve at the test state of the site. In practice, revegetation of the whole cell is likely to be impractical due to the availability of cleared land within the cell, and practical limitations such as land ownership and revegetation cost. The metric therefore excludes these factors from the analysis, allowing direct comparison of the relative benefit of a given area of revegetation between cells. The values of the index generated according to the above formula are generally low (since a significant area is required to support additional species) and the index is rescaled by multiplying by 1000 to bring it into an approximate 0-1 range.
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 “Helping Biodiversity Adapt: Supporting climate adaptation planning using 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 BiodiversityModellingMethodsSummary.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: amphibians, M: mammals, R: reptiles and V: vascular plants
DOI: 10.4225/08/5587a7996f007
title: 9-second gridded continental Australia revegetation benefit (cleared natural areas) for Reptiles 1990:2050 CanESM2 RCP 8.5 (CMIP5) (GDM: REP_r3_v2)

description: Benefits of revegetation index for Reptiles as a function of land clearing within the present  long term (30 year average) climate (1990 centred) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 
This metric represents the marginal benefit from a unit increase of vegetation at the site, which is a direct function of the slope of the species area curve at the test state of the site. In practice, revegetation of the whole cell is likely to be impractical due to the availability of cleared land within the cell, and practical limitations such as land ownership and revegetation cost. The metric therefore excludes these factors from the analysis, allowing direct comparison of the relative benefit of a given area of revegetation between cells. The values of the index generated according to the above formula are generally low (since a significant area is required to support additional species) and the index is rescaled by multiplying by 1000 to bring it into an approximate 0-1 range.
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 “Helping Biodiversity Adapt: Supporting climate adaptation planning using 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 BiodiversityModellingMethodsSummary.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: amphibians, M: mammals, R: reptiles and V: vascular plants
DOI: 10.4225/08/5587a7d1c2576
title: 9-second gridded continental Australia revegetation benefit (cleared natural areas) for Vascular Plants 1990:1990 (GDM: VAS_v5_r11)

description: Benefits of revegetation index for Vascular Plants as a function of land clearing within the present  long term (30 year average) climate (1990 centred) based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 
This metric represents the marginal benefit from a unit increase of vegetation at the site, which is a direct function of the slope of the species area curve at the test state of the site. In practice, revegetation of the whole cell is likely to be impractical due to the availability of cleared land within the cell, and practical limitations such as land ownership and revegetation cost. The metric therefore excludes these factors from the analysis, allowing direct comparison of the relative benefit of a given area of revegetation between cells. The values of the index generated according to the above formula are generally low (since a significant area is required to support additional species) and the index is rescaled by multiplying by 1000 to bring it into an approximate 0-1 range.
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 “Helping Biodiversity Adapt: Supporting climate adaptation planning using 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 BiodiversityModellingMethodsSummary.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: amphibians, M: mammals, R: reptiles and V: vascular plants
DOI: 10.4225/08/5587a7fb8006b
title: 9-second gridded continental Australia revegetation benefit (cleared natural areas) for Vascular Plants 1990:2050 CanESM2 RCP 8.5 (CMIP5) (GDM: VAS_v5_r11)

description: Benefits of revegetation index for Vascular Plants as a function of land clearing and climate change based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 
This metric represents the marginal benefit from a unit increase of vegetation at the site, which is a direct function of the slope of the species area curve at the test state of the site. In practice, revegetation of the whole cell is likely to be impractical due to the availability of cleared land within the cell, and practical limitations such as land ownership and revegetation cost. The metric therefore excludes these factors from the analysis, allowing direct comparison of the relative benefit of a given area of revegetation between cells. The values of the index generated according to the above formula are generally low (since a significant area is required to support additional species) and the index is rescaled by multiplying by 1000 to bring it into an approximate 0-1 range.
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 “Helping Biodiversity Adapt: Supporting climate adaptation planning using 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 BiodiversityModellingMethodsSummary.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: amphibians, M: mammals, R: reptiles and V: vascular plants
DOI: 10.5255/ukda-sn-851807
title: Executive control of actions and risky decision-making
DOI: 10.6073/pasta/1d073b7964249c41e45221815195386c
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1987-08-31
DOI: 10.6073/pasta/44b3095c2da00e60c2f716cd47e9bf83
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2003-03-04
DOI: 10.6073/pasta/90fd11ab41a8907ebb11cd5862937f70
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1987-05-11
DOI: 10.6073/pasta/b3f2a0833ebd7cdf6322f028e2094fe2
title: Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 1986-06-19
DOI: 10.6073/pasta/b74715a9c88de753c3d5eafeade4bb5d
title: Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 2003-01-25
DOI: 10.6073/pasta/bc740cafbe643ed6ea36a67be4b42f7b
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1987-03-24
DOI: 10.6073/pasta/d185218716b3ac28ee95607f50b29b1a
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1987-04-25
DOI: 10.6073/pasta/f15c55bcee10748ce3eaa0bd8b23bf65
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1987-06-28
DOI: 10.6073/pasta/fe9812be42334be7e5ca97017be4fc5d
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1987-09-16
DOI: 10.14457/ku.the.2006.1185
title: ปัจจัยที่มีผลต่อพฤติกรรมการส่งเสริมสุขภาพ ของพยาบาลวิชาชีพในโรงพยาบาลพระมงกุฎเกล้า /
DOI: 10.14457/ku.the.2007.893
title: ปัจจัยที่มีผลต่อพฤติกรรมการป้องกันโรคไข้เลือดออกของนักเรียนชั้นประถมศึกษาปีที่ 5 - 6 ตำบลท่าไม้รวก อำเภอท่ายาง จังหวัดเพชรบุรี
DOI: 10.14457/ku.the.2007.894
title: ปัจจัยที่มีผลต่อพฤติกรรมการป้องกันโรคไข้เลือดออกของนักเรียนมัธยมศึกษาตอนต้น จังหวัดปทุมธานี
DOI: 10.14457/ku.the.2007.895
title: ปัจจัยที่มีผลต่อพฤติกรรมการฝากเงินของลูกค้าธนาคารกรุงศรีอยุธยา จำกัด [มหาชน] : กรณีศึกษา บัญชีเงินฝากกรุงศรี ทีนพลัส /
DOI: 10.14457/ku.the.2009.840
title: ปัจจัยที่มีผลต่อพฤติกรรมการรับบริการตรวจมะเร็งเต้านมของสตรี ด้วยเครื่องเอกซเรย์เต้านมในโรงพยาบาลลาดพร้าว กรุงเทพมหานคร /
DOI: 10.14457/ku.the.2010.727
title: ปัจจัยที่มีผลต่อพฤติกรรมการผ่อนคลายความเครียดของนักเรียนพยาบาลทหารบก วิทยาลัยพยาบาลกองทัพบก
DOI: 10.14457/ku.the.2012.420
title: ปัจจัยที่มีผลต่อพฤติกรรมการสูบบุหรี่ของเจ้าหน้าที่ชายที่ปฏิบัติงานในห้องผ่าตัดทั้ง 6 แผนกของโรงพยาบาลพระมงกุฏเกล้า
DOI: 10.4225/08/5587a846ab12a
title: 9-second gridded continental Australia revegetation benefit (cleared natural areas) for Vascular Plants 1990:2050 MIROC5 RCP 8.5 (CMIP5) (GDM: VAS_v5_r11)

description: Benefits of revegetation index for Vascular Plants as a function of land clearing and changing climate based on Generalised Dissimilarity Modelling (GDM) of compositional turnover. 
This metric represents the marginal benefit from a unit increase of vegetation at the site, which is a direct function of the slope of the species area curve at the test state of the site. In practice, revegetation of the whole cell is likely to be impractical due to the availability of cleared land within the cell, and practical limitations such as land ownership and revegetation cost. The metric therefore excludes these factors from the analysis, allowing direct comparison of the relative benefit of a given area of revegetation between cells. The values of the index generated according to the above formula are generally low (since a significant area is required to support additional species) and the index is rescaled by multiplying by 1000 to bring it into an approximate 0-1 range.
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 “Helping Biodiversity Adapt: Supporting climate adaptation planning using 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 BiodiversityModellingMethodsSummary.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: amphibians, M: mammals, R: reptiles and V: vascular plants
DOI: 10.5255/ukda-sn-851922
title: Exploring the 4th Environment: Young People's Use of Place and Views on their Environments
DOI: 10.6073/pasta/2c7c9c7880d55cc9a38386097e407f37
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1987-10-02
DOI: 10.6073/pasta/337686a110533970a3f5016d9a9ca865
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2003-04-21
DOI: 10.6073/pasta/5f45cf824b0399b6f5c6f2ecda9a84fb
title: Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 2003-03-14
DOI: 10.6073/pasta/a2528cd98323e00bda0627a359c28473
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1987-10-18
DOI: 10.6073/pasta/bf19e8280ea0001cc51e8ea2ccf17778
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2003-03-20
DOI: 10.14457/ku.the.2006.1186
title: ปัจจัยที่มีผลต่อพฤติกรรมการส่งเสริมสุขภาพ ของลูกจ้างโรงพยาบาลตำรวจ /
DOI: 10.14457/ku.the.2006.1187
title: ปัจจัยที่มีผลต่อพฤติกรรมการส่งเสริมสุขภาพของนักศึกษาพยาบาล วิทยาลัยพยาบาลเกื้อการุณย์ /
DOI: 10.14457/ku.the.2009.841
title: ปัจจัยที่มีผลต่อพฤติกรรมการส่งเสริมสุขภาพ ในด้านการบริโภคอาหารของบุคลากร กรมสนับสนุนบริการสุขภาพ กระทรวงสาธารณสุข /
DOI: 10.6073/pasta/1171b844796b2d16d409862a3db6d951
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2003-05-07
DOI: 10.6073/pasta/6629b8161858ada869096f6502945b12
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1987-11-19
DOI: 10.6073/pasta/7fa54865434d0e08472440ac07142bee
title: Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 2003-04-15
DOI: 10.6073/pasta/9eb185c6ace02e45e2f231570eba2041
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2003-07-10
DOI: 10.14457/kmutnb.the.2007.182
title: การประยุกต์ใช้การแปลงหน้าที่ทางคุณภาพ ร่วมกับทฤษฎีฟัซซีเซต ในการคัดเลือกผู้ขายวัตถุดิบ : กรณีศึกษาโรงงานผลิตท่อพลาสติก /
DOI: 10.14457/kmutnb.the.2008.154
title: การประยุกต์ใช้การเชื่อมเลเซอร์ สำหรับเครื่องประดับเงินสเตอร์ลิง 925 /
DOI: 10.14457/kmutnb.the.2008.155
title: การประยุกต์ใช้การผลิตแบบลีน ในอุตสาหกรรมการออกแบบตามคำสั่งซื้อ /
DOI: 10.14457/kmutnb.the.2009.174
title: การประยุกต์ใช้ข่ายงานระบบประสาทพยากรณ์ เหตุการณ์ความไม่สงบจังหวัดชายแดนภาคใต้ของประเทศไทย : กรณีศึกษาเหตุการณ์วางระเบิดชนิดแสวงเครื่อง ในเขตพื้นที่อำเภอเมืองยะลา จังหวัดยะลา /
DOI: 10.6073/pasta/0bf1aed25c8f82e8ba26944b7e69c2c0
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1988-01-22
DOI: 10.6073/pasta/0e4a3261d25bacf499b432b061b98bfe
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1988-01-06
DOI: 10.6073/pasta/a26aacfdace53a7bfd00969a25e79abd
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1987-12-05
DOI: 10.6073/pasta/cfcfd7c4d4072e6e3dffac10d4b51439
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2003-07-26
DOI: 10.6073/pasta/d56e6b90ae474412725b657ef071da19
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2003-08-27
DOI: 10.5255/ukda-sn-851850
title: Living in Ambivalence: Punjabi Migrant Transnationalism in the U.K
DOI: 10.6073/pasta/2877df59fc68bada3e3755d5a3ade3eb
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1988-05-29
DOI: 10.6073/pasta/79d851897c476b871d87993c0d1531f3
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1988-05-13
DOI: 10.6073/pasta/8a2d1ca7e0a794cdde6bd0c84ac4cfc3
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 2003-09-12
DOI: 10.6073/pasta/cec5077d92679899ccf414cce6c1b3bc
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1988-02-23
DOI: 10.6073/pasta/da891f5e818d71a67dce5d473aefc82d
title: Landsat Enhanced Thematic Mapper image data for Niwot Ridge LTER collected on 2003-05-17
DOI: 10.6073/pasta/e33611f839f0cd65c6a8e15717551902
title: Landsat Enhanced Thematic Mapper image data for Plum Island Ecosystems LTER collected on 1988-04-27
DOI: 10.14457/kku.res.2005.56
title: การพัฒนากระบวนการทำงานของทีม ให้ความรู้แก่ผู้ป่วยเบาหวาน แผนกผู้ป่วยนอก โรงพยาบาลพระอาจารย์ฝั้น อาจาโร จังหวัดสกลนคร /
DOI: 10.14457/kku.res.2009.62
title: การพัฒนา KKU-CCA Array เพื่อประยุกต์ใช้กับมะเร็งท่อน้ำดี /
DOI: 10.14457/kmutnb.the.2007.199
title: การติดตามและประเมินผลหลักสูตรครุศาสตร์ อุตสาหกรรมบัณฑิต สาขาวิชาเทคโนโลยีคอมพิวเตอร์ [หลักสูตรปรับปรุง พ.ศ.2541] สถาบันเทคโนโลยีพระจอมเกล้าพระนครเหนือ /