cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/kku.the.1993.1
title: กลุ่มเกษตรกรที่มีประสิทธิภาพตามทรรศนะของเกษตรอำเภอ ในภาคตะวันออกเฉียงเหนือ /
DOI: 10.14457/kku.the.2002.2
title: กลไกการนำกระแสไฟฟ้าในไดโอดเปล่งแสงแบบฟิล์มบาง ชนิดรอยต่อพี-ไอ-เอ็น /
DOI: 10.14457/ku.the.2011.413
title: การอบรมเลี้ยงดูเด็กปฐมวัยของชนเผ่าเมี่ยน : กรณีศึกษาบ้านปางควาย จังหวัดเชียงใหม่
DOI: 10.14457/cu.the.2007.92
title: การค้ากับเครือข่ายความสัมพันธ์ ของกลุ่มชาติพันธุ์ในล้านนา ก่อนการสถาปนาระบบเทศาภิบาล /
DOI: 10.5061/dryad.4gf03/1
title: iBPP v2.1.2

description: iBPP implements a Bayesian method to delimit species, integrating genetic data and trait data. It builds on BPP (Yang and Rannala, 2010). This is a link to version 2.1.2 in Zenodo, doi:10.5281/zenodo.12927
DOI: 10.6073/pasta/830d10915ee0991e8ea5dee95f756ac4
title: The impact of permafrost thaw on ecosystem carbon balance:  CiPEHR Project Phenology of Dominant Plant Species II - Berry Production
DOI: 10.14457/ku.the.2007.598
title: การออกแบบระบบระบายอากาศ สำหรับงานเชื่อมโลหะในอุตสาหกรรมผลิตชิ้นส่วนยานยนต์
DOI: 10.14457/ku.the.2008.454
title: การออกแบบฐานความรู้ภาษาอังกฤษ สำหรับพนักงานต้อนรับบนเครื่องบิน บริษัท การบินไทย จำกัด (มหาชน) โดยใช้แนวทางการจัดการเรียนแบบยืดหยุ่น
DOI: 10.4225/08/548696639ee2f
title: 9-second gridded continental Australia potential degree of ecological change for Vascular Plants 1990:2050 CanESM2 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 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.

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: 10.5061/dryad.r5cq0.1/2.1
title: Breinholt_Kawahara_2013_aa.nex

description: Nexus file containing 938 genes for 19 taxa. See taxa_list.txt for names of each taxon, this is a amino acid nexus file with a CHARSET that defines each gene. Gene names correspond to gene numbers in the Insecta HMMER v3-2 core ortholog database. For further information on these genes see Supplementary Table 2 from Breinholt and Kawahara 2013.
DOI: 10.5061/dryad.r5cq0.1/5.1
title: attac_assembly.fasta

description: Assembly of Attacus atlas from Genbank SRA accession #SRR1002994, using multiple kmers (13,23,33,43,63) with SOAPdenovo-Trans v1.01. Different Kmer assemblies were combined with cd-hit-est and processed with the fastx toolkit. See SOAP_assembly.qsub for the command used for this assembly.
DOI: 10.6073/pasta/b8c43d4f61ea637e1a3d4d03b979a883
title: Prospect Hill Hydrological Stations at Harvard Forest since 2005
DOI: 10.4225/08/548679f0bf6e0
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: 10.5061/dryad.qm4j1.2/3.1
title: Supplementary Tables

description: Made available in DSpace on 2014-11-25T19:55:06Z (GMT). No. of bitstreams: 1
Supplementary Tables.docx: 56448 bytes, checksum: e2cc5271a355ff76caf10f4972c2a475 (MD5)
  Previous issue date: 2014-01-21
DOI: 10.5061/dryad.r5cq0.1/11.1
title: HaMStR.qsub

description: This script contains commands used for HaMStR ortholog prediction. It is specific to HPC systems with PBS schedulers and requires the set of files and directories detailed in the HaMStR manual.
DOI: 10.5255/ukda-sn-7539-2
title: English Housing Survey, 2012: Fuel Poverty Dataset
DOI: 10.14457/cmu.the.2007.65
title: การตรวจสอบดีเอ็นเอเมทิลเลชัน ในการออกดอกของผักขาวปลี [Brassica campestris subsp. pekinensis] ที่ชักนำโดยปัจจัยต่างๆ ด้วยเทคนิคเอชเอที-อาร์เอพีดี /
DOI: 10.4225/08/5486834abbb38
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: 10.5061/dryad.qm4j1.2/1.1
title: Supplemental Figures

description: Made available in DSpace on 2014-11-25T19:54:59Z (GMT). No. of bitstreams: 1
Supplemental Figures.zip: 10060536 bytes, checksum: e7bf978da19d4663803bc6a1e0846f51 (MD5)
  Previous issue date: 2014-01-21
DOI: 10.14457/cmu.the.2003.60
title: การตรวจสอบคุณภาพของส้มเขียวหวานด้วยเทคนิค เนียร์อินฟราเรดสเปกโทรสโกปี /
DOI: 10.14457/ku.the.2007.602
title: การออกแบบวงจรบวกขนาด n บิต ที่ใช้กำลังงานต่ำ
DOI: 10.14457/ku.the.2008.465
title: การออกแบบระบบระบายอากาศในโรงงานผลิตเคมี กรณีศึกษา :
DOI: 10.15468/test.1417695232780479000
title: reserve test
title: Meine Übersetzung
DOI: 10.4225/08/54867dbee09e6
title: 9-second gridded continental Australia change in effective area of similar ecological environments (cleared natural areas) for Mammals 1990:1990 (GDM: MAM_R2)

description: Proportional change in effective area of similar ecological environments for Mammals 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 describes the effects of 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  uncleared landscape and degraded landscape (pairwise similarities summed (e.g. a completely similar cell will contribute 1, a dissimilar cell 0, with a range of values in between). The contribution of each cell is then multiplied by a 0 (cleared) to 1 (intact) condition index based on the natural areas layer. 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: amphibians, M: mammals, R: reptiles and V: vascular plants
DOI: 10.14457/cmu.res.2005.39
title: การตรวจหา Immunoglobulin A antibody ต่อ Epstein Barr viral capsid antigen และ Epstein Barr virus DNA ในพลาสมา และ Peripheral blood mononuclear cells เพื่อใช้เป็นตัวบ่งชี้ในการตรวจวินิจฉัยมะเร็งหลังโพรงจมูกระยะเริ่มแรก /
DOI: 10.5061/dryad.r5cq0.1/1.1
title: Breinholt_Kawahara_2013_nuc

description: Nexus file containing 938 genes for 19 taxa. See Taxon_list.txt for names of each taxon, this is a nucleotide nexus file with a CHARSET that defines each gene. Gene names correspond to gene numbers in the Insecta HMMER v3-2 core ortholog database. For further information on these genes see Supplementary Table 2 from Breinholt and Kawahara 2013.
DOI: 10.14457/cmu.res.2003.88
title: การดูแลตนเองด้านการรับประทานอาหาร และภาวะโภชนาการของผู้ติดเชื้อเอชไอวี /
DOI: 10.14457/cmu.res.2006.41
title: การดูแลตนเองของผู้ที่ติดเชื้อเอชไอวี/เอดส์ ในกลุ่มเพื่อเพื่อนโรงพยาบาลแม่แตง อำเภอแม่แตง จังหวัดเชียงใหม่ /
DOI: 10.14457/cmu.res.2006.42
title: การดูแลตนเองของผู้ป่วยเบาหวาน ชนิดที่ 2 ในกลุ่มที่ควบคุมระดับน้ำตาลได้ดีมาก และกลุ่มที่ไม่สามารถควบคุมระดับน้ำตาลได้ในแผนกผู้ป่วยนอก โรงพยาบาลสันป่าตอง อำเภอสันป่าตอง จังหวัดเชียงใหม่ /
DOI: 10.14457/cmu.the.2004.52
title: การตรวจสอบการเข้าทำลายของแมลงในเมล็ดข้าวด้วยการวัดเสียง /
DOI: 10.4225/08/54867683b7f66
title: 9-second gridded continental Australia change in effective area of similar ecological environments (cleared natural areas) for Amphibians 1990:2050 CanESM2 RCP 8.5 (CMIP5) (GDM: AMP_r2_PTS1)

description: Proportional change in effective area of similar ecological environments for Amphibians 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 ecological 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 ecological 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 similarecological 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: amphibians, M: mammals, R: reptiles and V: vascular plants
DOI: 10.5061/dryad.qm4j1.2
title: Data from: Target capture and massively parallel sequencing of ultraconserved elements for comparative studies at shallow evolutionary time scales
DOI: 10.5061/dryad.r5cq0.1/7.1
title: dara_assembly.fasta

description: Assembly of Darapsa myron from Genbank SRA accession #SRR1002986, using multiple kmers (13,23,33,43,63) with SOAPdenovo-Trans v1.01. Different Kmer assemblies were combined with cd-hit-est and process with the fastx toolkit. See SOAP_assembly.qsub for the command used for this assembly.
DOI: 10.14457/cmu.the.2009.52
title: การตรวจสอบความเหมาะสม ของช่วงความเชื่อมั่น สำหรับค่าเฉลี่ย และสัดส่วนจากข้อมูลที่มาจากการสำรวจตัวอย่าง /
DOI: 10.5061/dryad.qm4j1.2/7.2
title: interspecies_full

description: Fasta alignments of sequences from ultraconserved elements containing up to thirty-six individuals from five study species. Alignments include samples from all species, and any loci for which data was recovered for at least two individuals.
DOI: 10.5061/dryad.r5cq0.1/10.1
title: SOAP_assembly.qsub

description: This script was used for multiple kmer transcriptome assemblies. The script is specific to the University of Florida module system but can be easily edited for use on other HPC systems.
DOI: 10.14457/cu.the.2002.75
title: การจัดการกำไรและผลตอบแทนของการออกหุ้นสามัญเพิ่มทุน : การศึกษาจากตลาดหลักทรัพย์แห่งประเทศไทย /
DOI: 10.14457/cu.the.2005.77
title: การจัดการการท่องเที่ยวบริเวณแนวปะการัง โดยใช้คู่มือให้ความรู้ และสร้างจิตสำนึกร่วมกับทางเชือก /
DOI: 10.3886/e18697v2
title: Replication Data for Summer Jobs Reduce Violence Among Disadvantaged Youth

description: Replication data and code for "Summer Jobs Reduce Violence among Disadvantaged Youth"
<br>
<br>
<br>
<br>
<br>
DOI: 10.5061/dryad.r5cq0.1/9.1
title: hema2_assembly

description: Step: dryadAcceptEditReject - action:dryadAcceptEditRejectAction Entered publication blackout by Dryad Queue(dryad.queue@gmail.com) on 2013-10-24T13:38:30Z (GMT)
DOI: 10.6073/pasta/cd8e96d0cb00028912175ad92d191056
title: Permanent Plots at Pisgah State Forest in Wincester NH since 1984
DOI: 10.14457/cu.the.2005.80
title: การจัดการคุณภาพการให้บริการของระบบวิดีโอตามสั่งบนเครือข่ายจุฬาลงกรณ์มหาวิทยาลัย /
DOI: 10.14457/ku.the.2006.802
title: Mineralogical trends along some soil catenae in Thailand /
DOI: 10.14457/ku.the.2008.459
title: Investigation of silica monolith as a non-polar matrix retainer for nitrosamines determination /
DOI: 10.4225/08/5486971b5a4e9
title: 9-second gridded continental Australia potential degree of ecological change for Reptiles 1990:2050 CanESM2 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 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.

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