cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.400371
title: Assembly And Comparison Of Two Closely Related Brassica Napus Genomes

description: Here we present the <em>de novo</em> assembly of the <em>B. napus</em> cultivar Tapidor and comparison with an improved assembly of the <em>B. napus</em> cultivar Darmor<em>-bzh</em>. Both cultivars were annotated using the same method to allow comparison of gene content. We identified genes unique to each cultivar and differentiate these from artefacts due to variation in the assembly and annotation. We demonstrate that using a common annotation pipeline can result in different gene predictions, even for closely related cultivars, and repeat regions which collapse during assembly impact whole genome comparison. After accounting for differences in assembly and annotation, we demonstrate that the genome of Darmor<em>-bzh</em> contains a greater number of genes than the genome of Tapidor.
description: The authors would like to acknowledge funding support from the Australian Research Council (Projects LP110100200, LP130100925, LP140100537 and DP160104497), from the UK Biotechnology and Biological Sciences Research Council (BBSRC) to GK (BB/E017797/1) and IB (BB/E017363/1) and from the National Basic Research and Development Programme of China (2006CB101600). This work was supported by resources provided by the Pawsey Supercomputing Centre with funding from the Australian Government and the Government of Western Australia, the Australian Genome Research Facility (AGRF), the Queensland Cyber Infrastructure Foundation (QCIF) and the Australian Partnership for Advanced Computing (APAC).
DOI: 10.5517/ccdc.csd.cc1nn27m
title: CCDC 1538630: Experimental Crystal Structure Determination

description: Related Article: Ulrich Flörke, ANdreas Klöpping, Gerald Henkel|2017|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nn28n
title: CCDC 1538631: Experimental Crystal Structure Determination

description: Related Article: Ulrich Flörke, ANdreas Klöpping, Gerald Henkel|2017|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nn29p
title: CCDC 1538632: Experimental Crystal Structure Determination

description: Related Article: Ulrich Flörke, ANdreas Klöpping, Gerald Henkel|2017|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1nn2bq
title: CCDC 1538633: Experimental Crystal Structure Determination

description: Related Article: Ulrich Flörke, ANdreas Klöpping, Gerald Henkel|2017|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.1285/i11211156a30n2p283
title: Gli abstracts
DOI: 10.1285/i11211156a30n2p295
title: Gli autori
DOI: 10.1285/i11211156a30n2p300
title: Appendice
DOI: 10.17632/9z3pzd6rmd.1
title: Child Mortality Data Source and GPR Results

description: There are three types of data that include the summary and complete birth history data. Census data, the Demographic and Health Survey (DHS) and the ARJ project (Iranian population growth rate measurement) contain SBH questions only; the DHS contains CBH questions as well. Subsequently, the census data of 1986, 1996, 2006, and 2011, the DHS data of 2000 and 2010, and those of the ARJ project in 1999 were determined as the sources of data. 1. Census The first and last ‘National Population and Housing Census’ in Iran took place in 1956 and 2011, respectively. As per the 4th Article of Iran’s Statistics Center, this census is to be performed every five years upon the President’s order. The next National Population and Housing Census in Iran takes place in 2016. The main goal of this census is to collect statistics and data from all over the country to identify demographic and housing characteristics. The latter is used to process data required for social development, economic and cultural planning, and also to prepare grounds for appropriate frameworks for statistical investigations. The census forms include questions on the status of morbidity and mortality. SBH –related questions are also included in these questionnaires. In Iran, these questions have been included in the questionnaires since 1981, in the following form: Total number of female/male children born alive; total number of female/male children currently alive (living with this or another household). We used the SBH data of the censuses of the years 1986, 1996, 2006, and 2011. 2. Demographic and Health Survey (DHS) This study has in fact been derived from global studies on fertility and prevalence of contraceptive use, in which, data related to fertility, pregnancy, maternal and child health and nutrition in developing countries are collected. However, data on malaria, AIDS, and domestic abuse are collected voluntarily. In order to estimate child mortality in this program, the SBH and CBH questions are included in the questionnaire as well. The SBH and CBH data of the 2000 DHS project were used to estimate child mortality. The quality of the 2010 data was poor, so they were put aside and not used for the study. 3. MOHME’s Death Registration System Currently, two organizations are responsible for registering deaths in Iran; the National Organization for Civil Registration and MOHME’s Death Registration System. The National Organization for Civil Registration data contains many errors and delays in reporting. In 1995, an effort was made in the Bushehr province to launch a registry using all possible sources and afterwards, this step was taken across the entire country. Initially (from 1995 to 2001), MOHME’s Deputy of Research was in charge of registering death data. Afterwards, MOHME’s Deputy of Health took charge and has continued to do so since then. Here, we have used the data from the years 1995 to 2010. The 2005 data were not available, hence they were not used.
DOI: 10.17632/rpzbrppywy.1
title: DAMQT_2.1.2

description: Package for the visualization and analysis of molecular electron density (MED) and related properties including electrostatic field (MESP) and Hellmann-Feynman forces. Incorporates facilities for the topological analysis of MED and MESP.
DOI: 10.18169/papdeott005567
title: Motor Rail Element Plug and Play
DOI: 10.18169/papdeott005964
title: Upper Fabric Belt to Guide / Joint the Curtain Slats of Runda and Rotunda
DOI: 10.18169/papdeott006071
title: Catheter Wire Detection in 3D Imaging to Support Interventional Vascular Navigation
DOI: 10.18169/papdeott006092
title: Verfahren zur Überwachung der Fokenqualität bei Röntgenröhren
DOI: 10.18169/papdeott006138
title: Workflow for the Integration of Diagnostic Findings into Radiation Therapy Planning
DOI: 10.18169/papdeott006139
title: Small-Scale Bending Specimen for Crack Propagation Tests on Degraded Microstructures in Metallic Components
DOI: 10.18169/papdeott006189
title: Halteplatte für Staubsaugerbeutel mit Dichtung
DOI: 10.1285/i11211156a30n2p312
title: Colophon
DOI: 10.18169/papdeott006140
title: Distributed Automated Train Driving System with Use of Real Time Cloud Computing
DOI: 10.18169/papdeott006145
title: Axially Perforated Honeycombs for Turbomachinery Seals
DOI: 10.18169/papdeott006146
title: Verfahren und Vorrichtung für die automatisierte Überwachung von Schaltkastenkomponenten auf visueller und akustischer Basis
DOI: 10.18169/papdeott006147
title: Interaktiver Boden für einen medizinischen Behandlungsraum / OP
DOI: 10.18169/papdeott006149
title: Selbstreinigung der Kontaktflächen eines Kompaktleistungsschalters
DOI: 10.18169/papdeott006150
title: Papillary Muscle Segmentation for Improved Guidance for Endocardial CRT
DOI: 10.18169/papdeott006151
title: Kühloption für ein Industriegetriebe in Form eines durch eine Visco-Kupplung angebundenen mechanischen Lüfters
DOI: 10.3886/e4388v10
title: National Surveys on Energy and Environment [United States]

description: The National Surveys on Energy and Environment (NSEE), a core activity in CLOSUP's Energy and Environmental Policy Initiative, reflects a formal partnership between the Muhlenberg Institute of Public Opinion at Muhlenberg College and the Center for Local, State, and Urban Policy at the University of Michigan's Gerald R. Ford School of Public Policy. NSEE surveys include twice per year national opinion surveys on issues directly related to climate change and energy policy, as well as other surveys conducted on a range of topics such as hydraulic fracturing ("fracking"), the Great Lakes, and wider issues of energy and environment. NSEE is co-directed by professor Barry Rabe at the University of Michigan, and professor Christopher Borick at Muhlenberg College. For more information on the collaboration between the University of Michigan and Muhlenberg College, please see the recent article from Muhlenberg Magazine. For more information about the NSEE, contact CLOSUP staff at 734-647-4091 or closup@umich.edu. From 2008-2012 the survey was called the “National Survey of American Public Opinion on Climate Change” (NSAPOOC); starting in 2013 the survey was renamed to the “National Surveys on Energy and Environment” (NSEE). <br><br>The NSEE is committed to transparency in all facets of our work, including timely release and posting of data from each survey wave. A grant from the Office of the Provost at the University of Michigan will enable us to expand and accelerate this work, including providing online access to NSEE frequency tables and survey instruments, followed by datasets. Users can see a list of topics covered by the NSEE, and search for questions by text, variable name, or variable category on CLOSUP's website. <br><br>Although the datasets are listed by survey wave, the NSEE is a valuable source of longitudinal public-opinion data on climate change and energy policy. Many questions have been asked over multiple waves, including questions about belief in global warming that have been asked in every wave of the NSEE. Consult the NSEE Crosswalk to see which questions have been asked in prior and subsequent waves of the NSEE. To facilitate longitudinal analysis, the NSEE datasets use a longitudinal variable naming scheme to facilitate longitudinal analysis. Variable names include two parts: a subject category for the question, and a description of the contents of the question. When a question has been asked with the same text and response options over multiple waves, the same variable name will be used in each dataset. For more information on the longitudinal naming scheme users should consult the codebooks for the datasets. <br><br><br>
DOI: 10.17632/6v2dwwcgs3.1
title: MC-16-01889 Yamada, Watanabe et al.

description: Image data related to Yamada, Watanabe et al., Crystal Structure of the Minimal Cas9 from Campylobacter jejuni Reveals the Molecular Diversity in the CRISPR-Cas9 Systems. Mol Cell (2017) 65, 1109-1121.
DOI: 10.18169/papdeott006167
title: System und Verfahren zur assistierten Fertigung von Anlagen- und Maschinenschaltschränken
DOI: 10.18169/papdeott006191
title: Systemtest für Energiespeichersysteme
DOI: 10.18169/papdeott006193
title: Superconducting Down-Tower Cable Assembly for Wind Turbine
DOI: 10.18169/papdeott006195
title: Medical Systems Software for Therapy Simulation, Response Prediction and Optimization for Spine Surgery
DOI: 10.3886/e4389v10
title: National Surveys on Energy and Environment [United States]

description: The National Surveys on Energy and Environment (NSEE), a core activity in CLOSUP's Energy and Environmental Policy Initiative, reflects a formal partnership between the Muhlenberg Institute of Public Opinion at Muhlenberg College and the Center for Local, State, and Urban Policy at the University of Michigan's Gerald R. Ford School of Public Policy. NSEE surveys include twice per year national opinion surveys on issues directly related to climate change and energy policy, as well as other surveys conducted on a range of topics such as hydraulic fracturing ("fracking"), the Great Lakes, and wider issues of energy and environment. NSEE is co-directed by professor Barry Rabe at the University of Michigan, and professor Christopher Borick at Muhlenberg College. For more information on the collaboration between the University of Michigan and Muhlenberg College, please see the recent article from Muhlenberg Magazine. For more information about the NSEE, contact CLOSUP staff at 734-647-4091 or closup@umich.edu. From 2008-2012 the survey was called the “National Survey of American Public Opinion on Climate Change” (NSAPOOC); starting in 2013 the survey was renamed to the “National Surveys on Energy and Environment” (NSEE). <br><br>The NSEE is committed to transparency in all facets of our work, including timely release and posting of data from each survey wave. A grant from the Office of the Provost at the University of Michigan will enable us to expand and accelerate this work, including providing online access to NSEE frequency tables and survey instruments, followed by datasets. Users can see a list of topics covered by the NSEE, and search for questions by text, variable name, or variable category on CLOSUP's website. <br><br>Although the datasets are listed by survey wave, the NSEE is a valuable source of longitudinal public-opinion data on climate change and energy policy. Many questions have been asked over multiple waves, including questions about belief in global warming that have been asked in every wave of the NSEE. Consult the NSEE Crosswalk to see which questions have been asked in prior and subsequent waves of the NSEE. To facilitate longitudinal analysis, the NSEE datasets use a longitudinal variable naming scheme to facilitate longitudinal analysis. Variable names include two parts: a subject category for the question, and a description of the contents of the question. When a question has been asked with the same text and response options over multiple waves, the same variable name will be used in each dataset. For more information on the longitudinal naming scheme users should consult the codebooks for the datasets. <br><br><br>
DOI: 10.3886/e4390v10
title: National Surveys on Energy and Environment [United States]

description: The National Surveys on Energy and Environment (NSEE), a core activity in CLOSUP's Energy and Environmental Policy Initiative, reflects a formal partnership between the Muhlenberg Institute of Public Opinion at Muhlenberg College and the Center for Local, State, and Urban Policy at the University of Michigan's Gerald R. Ford School of Public Policy. NSEE surveys include twice per year national opinion surveys on issues directly related to climate change and energy policy, as well as other surveys conducted on a range of topics such as hydraulic fracturing ("fracking"), the Great Lakes, and wider issues of energy and environment. NSEE is co-directed by professor Barry Rabe at the University of Michigan, and professor Christopher Borick at Muhlenberg College. For more information on the collaboration between the University of Michigan and Muhlenberg College, please see the recent article from Muhlenberg Magazine. For more information about the NSEE, contact CLOSUP staff at 734-647-4091 or closup@umich.edu. From 2008-2012 the survey was called the “National Survey of American Public Opinion on Climate Change” (NSAPOOC); starting in 2013 the survey was renamed to the “National Surveys on Energy and Environment” (NSEE). <br><br>The NSEE is committed to transparency in all facets of our work, including timely release and posting of data from each survey wave. A grant from the Office of the Provost at the University of Michigan will enable us to expand and accelerate this work, including providing online access to NSEE frequency tables and survey instruments, followed by datasets. Users can see a list of topics covered by the NSEE, and search for questions by text, variable name, or variable category on CLOSUP's website. <br><br>Although the datasets are listed by survey wave, the NSEE is a valuable source of longitudinal public-opinion data on climate change and energy policy. Many questions have been asked over multiple waves, including questions about belief in global warming that have been asked in every wave of the NSEE. Consult the NSEE Crosswalk to see which questions have been asked in prior and subsequent waves of the NSEE. To facilitate longitudinal analysis, the NSEE datasets use a longitudinal variable naming scheme to facilitate longitudinal analysis. Variable names include two parts: a subject category for the question, and a description of the contents of the question. When a question has been asked with the same text and response options over multiple waves, the same variable name will be used in each dataset. For more information on the longitudinal naming scheme users should consult the codebooks for the datasets. <br><br><br>
DOI: 10.3886/e4391v10
title: National Surveys on Energy and Environment [United States]

description: The National Surveys on Energy and Environment (NSEE), a core activity in CLOSUP's Energy and Environmental Policy Initiative, reflects a formal partnership between the Muhlenberg Institute of Public Opinion at Muhlenberg College and the Center for Local, State, and Urban Policy at the University of Michigan's Gerald R. Ford School of Public Policy. NSEE surveys include twice per year national opinion surveys on issues directly related to climate change and energy policy, as well as other surveys conducted on a range of topics such as hydraulic fracturing ("fracking"), the Great Lakes, and wider issues of energy and environment. NSEE is co-directed by professor Barry Rabe at the University of Michigan, and professor Christopher Borick at Muhlenberg College. For more information on the collaboration between the University of Michigan and Muhlenberg College, please see the recent article from Muhlenberg Magazine. For more information about the NSEE, contact CLOSUP staff at 734-647-4091 or closup@umich.edu. From 2008-2012 the survey was called the “National Survey of American Public Opinion on Climate Change” (NSAPOOC); starting in 2013 the survey was renamed to the “National Surveys on Energy and Environment” (NSEE). <br><br>The NSEE is committed to transparency in all facets of our work, including timely release and posting of data from each survey wave. A grant from the Office of the Provost at the University of Michigan will enable us to expand and accelerate this work, including providing online access to NSEE frequency tables and survey instruments, followed by datasets. Users can see a list of topics covered by the NSEE, and search for questions by text, variable name, or variable category on CLOSUP's website. <br><br>Although the datasets are listed by survey wave, the NSEE is a valuable source of longitudinal public-opinion data on climate change and energy policy. Many questions have been asked over multiple waves, including questions about belief in global warming that have been asked in every wave of the NSEE. Consult the NSEE Crosswalk to see which questions have been asked in prior and subsequent waves of the NSEE. To facilitate longitudinal analysis, the NSEE datasets use a longitudinal variable naming scheme to facilitate longitudinal analysis. Variable names include two parts: a subject category for the question, and a description of the contents of the question. When a question has been asked with the same text and response options over multiple waves, the same variable name will be used in each dataset. For more information on the longitudinal naming scheme users should consult the codebooks for the datasets. <br><br><br>
DOI: 10.5061/dryad.386mr/3
title: Supplemental Table 3

description: Raw data for binomal substrate affinity analysis.
DOI: 10.14457/cmu.res.2001.30
title: ชีวิตความเจ็บปวดของลูกสาวชาวเขาผู้ถูกขาย กรณีศึกษา : ลูกสาวลาหู่ที่ถูกครอบครัวขายเป็นสินค้า /
DOI: 10.14457/cmu.res.2002.259
title: ชุดปฏิบัติการการวิเคราะห์สเปกตรัมของท้องฟ้าในเวลากลางคืน โดยใช้ ซี ซี ดี สเปกโทรกราฟ /
DOI: 10.14457/cmu.res.2004.380
title: ชุดปฏิบัติการเรื่องการออกแบบ การสร้าง และการใช้นาฬิกาแดด /
DOI: 10.14457/cmu.res.2005.202
title: ชุดทดสอบปริมาณเงินสำหรับอุตสาหกรรมเครื่องเงินท้องถิ่น /
DOI: 10.14457/cmu.res.2009.302
title: ชุดการทดลองเพื่อแก้ไขแนวคิดที่คลาดเคลื่อน ของเรื่องคลื่นเสียง /
DOI: 10.17632/hkr6z3rvmh.2
title: A Tunable Brake for HECT Ubiquitin Ligases

description: This data set includes the coomassie staining gel images, western blot images, and fluorescence imaging results for the paper. The original data for the figures in the paper and the corresponding replicates are uploaded.