cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5061/dryad.sb175.1/1.1
title: Data4Dryad

description: CSV file with 1 header line, 26 columns, and 9059 rows of data.  Data collated from literature reviews (sources cited in the main text or in column 23).  ABBREVIATIONS and UNITS: DISSECTED.BY.MOUNTAINS = True if breeding range is divided into two or more isolated regions by a mountain chain; LAT.RANGE = Latitudinal range; ENV.SHIELDING = Environmental shielding (1 = migratory bird or hibernating mammal); GLACIATION: 1= 20% or more of current breeding range overlap with areas glaciated in the last 21,000 years; ISLAND.DWELLING: 1 = 20% or more of the breeding range occurs on islands; HABITAT.HETEROGENEITY: number of biomes covering at least 5% of the breeding range; BODY.SIZE: Adult body size in grams; PRECIP = Precipitation (in mm); TEMP = Temperature (in degrees Celcius)NPP = Net Primary Productivity (in log10[ g carbon per yr ] ); BREEDING.RANGE.AREA = Area of the breeding range; ENV.HARSHNESS = Environmental harshness (Raw values for PC1); GEOGRAPHIC.COVERAGE = Raw values for PC2; RAINFALL.UNPREDICTABILITY = Raw values for PC3; RESIDUAL.BODY.SIZE = Raw Values for PC4; N.MOST.LAT = Northernmost latitude in the breeding range; S.MOST.LAT = Southernmost latitude in the breeding range; CENTROID = centroid latitude for the breeding range.
DOI: 10.5255/ukda-sn-6458-2
title: Quarterly Labour Force Survey, January - March, 2010: Special Licence Access
DOI: 10.14457/ku.the.2009.660
title: Production of fermented soymilk powder containing lactic acid bacteria by spray drying
DOI: 10.14457/ku.the.2007.620
title: การออกแบบและพัฒนากลไกหักขั้วข้าวโพดฝักอ่อน
DOI: 10.14457/ku.the.2006.821
title: Orthophosphate adsorption on mordenite and its calcination effect /
DOI: 10.14457/ku.the.2006.822
title: Lotic Diptera of Khao Yai National Park, Thailand, with emphasis on The diversity, taxonomy, and ecology of black flies (Simuliidae)
DOI: 10.14457/ku.the.2008.477
title: การออกแบบและพัฒนาห้องเกียร์แบบเหล็กหล่อของรถไถเดินตาม
DOI: 10.14457/ku.the.2007.622
title: การออกแบบและสร้างการบีบอัดสัญญาณภาพวีดีโอบนอุปกรณ์ FPGA
DOI: 10.14457/cmu.the.1994.7
title: การตัดสินใจเพื่อเข้าครอบงำกิจการในตลาดหลักทรัพย์แห่งประเทศไทย และผลกระทบของการครอบงำกิจการต่อราคาหุ้น /
DOI: 10.14457/cmu.the.2002.36
title: การตัดสินใจเข้าร่วมโครงการพักชำระหนี้ของเกษตรกร อำเภอสันป่าตอง จังหวัดเชียงใหม่ /
DOI: 10.14457/cmu.the.2002.37
title: การตัดสินใจเชิงจริยธรรมของพยาบาลวิชาชีพ โรงพยาบาลชุมชน /
DOI: 10.14457/cmu.the.2005.25
title: การตัดสินใจเข้าศึกษาต่อในโครงการปฏิรูปการศึกษาเกษตรเพื่อชีวิต ของนักศึกษาวิทยาลัยเกษตรและเทคโนโลยี ในเขตภาคตะวันออกเฉียงเหนือตอนล่าง /
DOI: 10.6073/pasta/de8b740302c84fc0960b8cca9bd1e1ba
title: MCR LTER: Coral Reef: Ocean Currents and Biogeochemistry: salinity, temperature and current at CTD and ADCP mooring FOR01 from 2004 ongoing
DOI: 10.14457/cmu.res.2009.62
title: การตอบสนองต่อความต้องการของประชาชนในเขตเทศบาลเมือง เมืองแกนพัฒนา อำเภอแม่แตง จังหวัดเชียงใหม่ /
DOI: 10.14457/cmu.res.2010.102
title: การตัดสินใจในการพัฒนาโครงสร้างพื้นฐานขององค์กรปกครองส่วนท้องถิ่น : 5 กรณีศึกษาในเขตภาคเหนือ /
DOI: 10.3886/e20168v1
title: The Simon Poll: Fall 2014 [Illinois Statewide]

description: The mission of the non-partisan Paul Simon Public Policy Institute polling is to provide citizens, policy-makers, and academic researchers with objective information about trends and issues facing society. <br><br>The Fall 2014 Simon Poll interviewed 1,006 registered voters across Illinois. For the entire sample, the statistical margin of error is plus or minus three percentage points at the 95 percent confidence level. <br><br>Areas covered by the poll are: the Illinois 2014 general election including the Governor' race, budget, political reform, and political corruption. Guns and society, views of the local police force, economic situation, abortion, and gay marriage are also covered by the poll. Demographic information is also included, covering age, race, gender, income, political party affiliation, political ideology, employment, household income, and religious activities. Zip code indicators are included in the data.
DOI: 10.5061/dryad.4fn4g.1/2.1
title: R script for performing STC genotyping

description: Step: dryadAcceptEditReject - action:dryadAcceptEditRejectAction Entered publication blackout by Christine Mayo(christine.mayo@unc.edu) on 2014-06-17T18:22:14Z (GMT)
DOI: 10.5061/dryad.4fn4g.1/5.1
title: R script to create 'barcodes' file for de-multiplexing

description: Step: dryadAcceptEditReject - action:dryadAcceptEditRejectAction Entered publication blackout by Christine Mayo(christine.mayo@unc.edu) on 2014-06-17T18:22:14Z (GMT)
DOI: 10.14457/cmu.the.1991.3
title: การตอบสนองของสายพันธุ์ข้าวสาลี ต่อสภาพความเป็นพิษของอะลูมินั่ม /
DOI: 10.14457/cmu.the.2004.56
title: การตอบสนองของโครีดนม ต่ออาหารที่เสริมด้วยหญ้าแห้งและโซเดียมไบคาร์บอเนต ร่วมกับแมกนีเซียมออกไซด์ /
DOI: 10.14457/ku.the.2008.499
title: การเปลี่ยนแปลงทางเศรษฐกิจของเมืองนครชัยศรี พ.ศ.2439-2469
DOI: 10.14457/ku.the.2009.672
title: การเปลี่ยนแปลงระดับแอนไซม์เอสเทอเรสและกลูตาไทโอน-เอส-ทรานสเฟอเรสในลูกน้ำวัยสามของยุงลายสวน (Aedes albopictus) หลังการได้รับสารสกัดจากพืชบางชนิด
DOI: 10.14457/ku.the.2010.524
title: การเปลี่ยนแปลงทางภาษาและปัจจัยที่มีผลกระทบต่อภาษาลาวโซ่ง
DOI: 10.14457/ku.the.2011.437
title: การเก็บเกี่ยวและการเก็บรักษาเซลล์ Thalassiosira sp. เพื่อใช้เป็นอาหารกุ้ง
DOI: 10.14457/ku.the.2011.439
title: การเคลือบพอลิเมอร์ชีวภาพด้วยพอลิไตรฟลูออโรเอทิลเมทาคริเลทโดยกระบวนการขยายตัวอย่างรวดเร็วของสารละลายเหนือวิกฤต
DOI: 10.14457/ku.the.2011.441
title: การเตรียม และตรวจสอบลักษณะแผ่นฟิล์มบางของผลึกไทเทเนียมไดออกไซด์ขนาดนาโน โดยวิธีโซล-เจล สำหรับย่อยสลายสีรีแอกทีฟเยลโล 17
DOI: 10.14457/ku.the.2012.329
title: การเปลี่ยนแปลงชนิดและสัดส่วนของก๊าซที่มีกลิ่นจากตะกอนน้ำเสียชุมชน และตะกอนน้ำเสียที่ผ่านการบำบัด
DOI: 10.3886/e20146v1
title: The Simon Poll: Fall 2014 [Illinois Statewide]

description: The mission of the non-partisan Paul Simon Public Policy Institute polling is to provide citizens, policy-makers, and academic researchers with objective information about trends and issues facing society. 
<br>
<br>The Fall 2014 Simon Poll interviewed 1,006 registered voters across Illinois. For the entire sample, the statistical margin of error is plus or minus three percentage points at the 95 percent confidence level. 
<br>
<br>Areas covered by the poll are: the Illinois 2014 general election including the Governor' race, budget, political reform, and political corruption. Guns and society, views of the local police force, economic situation, abortion, and gay marriage are also covered by the poll. Demographic information is also included, covering age, race, gender, income, political party affiliation, political ideology, employment, household income, and religious activities. Zip code indicators are included in the data.
DOI: 10.5061/dryad.4fn4g.1/10.1
title: FASTA file of all unique amplicon sequences found in reads.fna

description: Contains all the unique amplicon sequences (no primers) along with numeric identifiers. This file is created from the output of readFNA.pl and make_sequences.R. It can be used as input for stc.R. Please see the README.txt file for more information.
DOI: 10.5061/dryad.4fn4g.1/11.1
title: table of samples and barcode IDs used in for genotyping

description: Contains rows designating the sample ID numbers and forward and reverse barcode ID numbers used for each sample genotyped in the paper. See barcode_sequences.csv for barcode nucleotide sequences. This file can be used as input for stc.R. Please see README.txt for more information and meta data.
DOI: 10.14457/cmu.res.2007.57
title: การตั้งสูตรเจลรักษาสิวจากสารธรรมชาติ /
DOI: 10.14457/ku.the.2007.625
title: การเตรียมและทดสอบเอนไซม์ย่อยสลายจาก Bacillus subtilis GN156 เพื่อปรับปรุงคุณภาพของไซเลจหญ้าเนเปียร์
DOI: 10.14457/ku.the.2011.438
title: การเข้ารหัสเครือข่ายเชิงเส้นสำหรับปัญหาการสื่อสารระหว่างต้นทางปลายทางแบบหลายคู่
DOI: 10.5061/dryad.4fn4g.1/15.1
title: README file for STC genotyping

description: Step: dryadAcceptEditReject - action:dryadAcceptEditRejectAction Entered publication blackout by Christine Mayo(christine.mayo@unc.edu) on 2014-06-17T18:22:14Z (GMT)
DOI: 10.14457/cmu.the.2005.26
title: การติดตามจุดกำลังไฟฟ้าสูงสุด ของระบบโฟโตโวลตาอิกต่อกับกริดระบบไฟฟ้าโดยใช้โครงข่ายประสาท /
DOI: 10.14457/cmu.the.2008.44
title: การติดตามการเคลื่อนไหวของมือ โดยใช้แบบจำลองฮิดเดนมาร์คอฟ /
DOI: 10.14457/cmu.res.1999.1
title: การติดตามผลบัณฑิตมหาวิทยาลัยเชียงใหม่ /
DOI: 10.14457/cmu.res.2002.59
title: การติดตามผลการปฏิบัติงานของผู้สำเร็จการศึกษา หลักสูตรประกาศนียบัตรวิชาชีพชั้นสูง (ปวส.) สาขาช่างเทคนิคการผลิต วิทยาลัยเทคนิคลำพูน /
DOI: 10.14457/cmu.res.2005.41
title: การติดตามผลมหาบัณฑิต สาขาวิชาการวัดและประเมินผลการศึกษา คณะศึกษาศาสตร์ มหาวิทยาลัยเชียงใหม่ /
DOI: 10.14457/cmu.res.2008.77
title: การตัดสินใจกู้ยืมเงิน เพื่อการศึกษาของนักเรียน : กรณีศึกษาโรงเรียนพายัพเทคโนโลยีและบริหารธุรกิจ /
DOI: 10.4225/08/5489a37404ca5
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: 10.14457/cu.the.2006.99
title: การจดจำและจำแนกชนิดของแผ่นวงจรพิมพ์ จากสัญญาณรบกวนแม่เหล็กไฟฟ้า /
DOI: 10.4225/08/5489a3aff0f08
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: 10.4225/08/5489a3827422c
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: 10.4225/08/5489a38de45ab
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: 10.4225/08/5489a3bae3532
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: 10.14457/cmu.the.2007.66
title: การตรวจหารูปแบบของไอโซไซม์ไคติเนสในพริกชี้ฟ้า [Capsicum annuum L.] หลังการติดเชื้อ Fusarium oxysporum /