cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22978292
title: Additional file 7 of Osteoarthritis genetic risk acting on the galactosyltransferase gene COLGALT2 has opposing functional effects in articulating joint tissues

description: Additional file 7. Lucia reporter gene data.
DOI: 10.6084/m9.figshare.22978292.v1
title: Additional file 7 of Osteoarthritis genetic risk acting on the galactosyltransferase gene COLGALT2 has opposing functional effects in articulating joint tissues

description: Additional file 7. Lucia reporter gene data.
DOI: 10.6084/m9.figshare.22978295
title: Additional file 8 of Osteoarthritis genetic risk acting on the galactosyltransferase gene COLGALT2 has opposing functional effects in articulating joint tissues

description: Additional file 8. dCas9 epigenetic modulation (β-values).
DOI: 10.6084/m9.figshare.22978295.v1
title: Additional file 8 of Osteoarthritis genetic risk acting on the galactosyltransferase gene COLGALT2 has opposing functional effects in articulating joint tissues

description: Additional file 8. dCas9 epigenetic modulation (β-values).
DOI: 10.6084/m9.figshare.22978298
title: Additional file 9 of Osteoarthritis genetic risk acting on the galactosyltransferase gene COLGALT2 has opposing functional effects in articulating joint tissues

description: Additional file 9. RT-qPCR data following dCas9 epigenetic modulation.
DOI: 10.6084/m9.figshare.22978298.v1
title: Additional file 9 of Osteoarthritis genetic risk acting on the galactosyltransferase gene COLGALT2 has opposing functional effects in articulating joint tissues

description: Additional file 9. RT-qPCR data following dCas9 epigenetic modulation.
DOI: 10.6084/m9.figshare.22978319
title: Additional file 1 of Engagement over telehealth: comparing attendance between dialectical behaviour therapy delivered face-to-face and via telehealth for programs in Australia and New Zealand during the Covid-19 pandemic

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.22978319.v1
title: Additional file 1 of Engagement over telehealth: comparing attendance between dialectical behaviour therapy delivered face-to-face and via telehealth for programs in Australia and New Zealand during the Covid-19 pandemic

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.22978346
title: Additional file 2 of DePolymerase Predictor (DePP): a machine learning tool for the targeted identification of phage depolymerases

description: Additional file 2: Table S2. Training set used to fuel the machine learning model. The table contains the sequences of the positive and negative cases along with the entire feature set generated for the downstream modelling.
DOI: 10.6084/m9.figshare.22978346.v1
title: Additional file 2 of DePolymerase Predictor (DePP): a machine learning tool for the targeted identification of phage depolymerases

description: Additional file 2: Table S2. Training set used to fuel the machine learning model. The table contains the sequences of the positive and negative cases along with the entire feature set generated for the downstream modelling.
DOI: 10.6084/m9.figshare.22978349
title: Additional file 3 of DePolymerase Predictor (DePP): a machine learning tool for the targeted identification of phage depolymerases

description: Additional file 3: Table S3. Rankings of depolymerase predictions in the context of whole phage genomes. Sequences were obtained for phages containing computationally predicted depolymerases described in Pires et al.. The ranking is given relative to the total number of ORFs predicted for each of the phages presented in the table.
DOI: 10.6084/m9.figshare.22978349.v1
title: Additional file 3 of DePolymerase Predictor (DePP): a machine learning tool for the targeted identification of phage depolymerases

description: Additional file 3: Table S3. Rankings of depolymerase predictions in the context of whole phage genomes. Sequences were obtained for phages containing computationally predicted depolymerases described in Pires et al.. The ranking is given relative to the total number of ORFs predicted for each of the phages presented in the table.
DOI: 10.6084/m9.figshare.22978354
title: Additional file 1 of CircPrime: a web-based platform for design of specific circular RNA primers

description: Additional file 1. Supplementary Dataset 1: CIRI2 output files for four Nile tilapia circRNA-Seq datasets. Overlapped circRNAs. Overlapped and overrepresented circRNAs of Nile tilapia muscle, which were used for CircPrime web-based platform validation.
DOI: 10.6084/m9.figshare.22978354.v1
title: Additional file 1 of CircPrime: a web-based platform for design of specific circular RNA primers

description: Additional file 1. Supplementary Dataset 1: CIRI2 output files for four Nile tilapia circRNA-Seq datasets. Overlapped circRNAs. Overlapped and overrepresented circRNAs of Nile tilapia muscle, which were used for CircPrime web-based platform validation.
DOI: 10.6084/m9.figshare.22978357
title: Additional file 2 of CircPrime: a web-based platform for design of specific circular RNA primers

description: Additional file 2. Supplementary Dataset 2: An example of CircPrime output: primer pairs and PCR conditions for them, which were developed for bioinformatically predicted circRNAs.
DOI: 10.6084/m9.figshare.22978357.v1
title: Additional file 2 of CircPrime: a web-based platform for design of specific circular RNA primers

description: Additional file 2. Supplementary Dataset 2: An example of CircPrime output: primer pairs and PCR conditions for them, which were developed for bioinformatically predicted circRNAs.
DOI: 10.5281/zenodo.7951959
title: Master Chartt

description: Master Chart
DOI: 10.5281/zenodo.7951958
title: Master Chartt

description: Master Chart
DOI: 10.5281/zenodo.7950814
title: Dataset and network checkpoint for integrated microscope

description: This file includes the blurry test images and sharp network output images as well as the pre-trained network weights in Large depth-of-field ultra-compact microscope by progressive optimization and deep learning.
DOI: 10.5281/zenodo.7950815
title: Zenodo upload test

description: Zenodo upload test.
DOI: 10.5281/zenodo.7950911
title: Dataset and network checkpoint for integrated microscope

description: This file includes the blurry test images and sharp network output images as well as the pre-trained network weights in Large depth-of-field ultra-compact microscope by progressive optimization and deep learning.
DOI: 10.5281/zenodo.7927438
title: The proteomics raw data from project MIPHA

description: The proteomics data and search result from the hisD overexpression strains and control strains treated with or without levofloxacin.
DOI: 10.5281/zenodo.7927439
title: The proteomics raw data from project MIPHA

description: The proteomics raw data from project MIPHA
DOI: 10.5281/zenodo.7951953
title: The proteomics raw data from project MIPHA

description: The proteomics data and search result from the hisD overexpression strains and control strains treated with or without levofloxacin.
DOI: 10.25921/n3xc-w111
title: Reson7125 Water Column Sonar Data Collected During NF1401
DOI: 10.5281/zenodo.7949863
title: MMCFSv2 initial conditions 2016, 2017 and 2018 for the simulations reported in GMD manuscript

description: MMCFSv2 initial conditions 2016, 2017 and 2018 for the simulations reported in GMD manuscript
DOI: 10.5281/zenodo.7949862
title: MMCFSv2 initial conditions 2016, 2017 and 2018 for the simulations reported in GMD manuscript

description: MMCFSv2 initial conditions 2016, 2017 and 2018 for the simulations reported in GMD manuscript
DOI: 10.5281/zenodo.7950964
title: MMCFSv2 initial conditions 2019, 2020 and 2021 for the simulations reported in GMD manuscript

description: MMCFSv2 initial conditions 2019, 2020 and 2021 for the simulations reported in GMD manuscript
DOI: 10.5281/zenodo.7950963
title: MMCFSv2 initial conditions 2019, 2020 and 2021 for the simulations reported in GMD manuscript

description: MMCFSv2 initial conditions 2019, 2020 and 2021 for the simulations reported in GMD manuscript
DOI: 10.5281/zenodo.7950855
title: MMCFSv2 initial conditions 2013, 2014 and 2015 for the simulations reported in GMD manuscript

description: MMCFSv2 initial conditions 2013, 2014 and 2015 for the simulations reported in GMD manuscript
DOI: 10.5281/zenodo.7950854
title: MMCFSv2 initial conditions 2013, 2014 and 2015 for the simulations reported in GMD manuscript

description: MMCFSv2 initial conditions 2013, 2014 and 2015 for the simulations reported in GMD manuscript
DOI: 10.25921/s904-2c83
title: EK60 Water Column Sonar Data Collected During NF1402
DOI: 10.5281/zenodo.7947318
title: MMCFSv2 initial conditions 2001 2002 and 2003

description: MMCFSv2 initial conditions 2001 2002 and 2003 for the simulations reported in GMD manuscript
DOI: 10.5281/zenodo.7947317
title: MMCFSv2 initial conditions 2001 2002 and 2003

description: MMCFSv2 initial conditions 2001 2002 and 2003 for the simulations reported in GMD manuscript
DOI: 10.5281/zenodo.7949310
title: Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes

description: Data relevant to Wu et al. "Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes".
DOI: 10.5281/zenodo.7949311
title: Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes

description: Data relevant to Wu et al. "Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes".
DOI: 10.5281/zenodo.7951839
title: Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes

description: Data relevant to Wu et al. "Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes".
DOI: 10.5281/zenodo.7942389
title: Data and Code for Blaszczak et al. 2023, Models of underlying autotrophic biomass dynamics fit to daily river ecosystem productivity estimates improve understanding of ecosystem disturbance and resilience

description: Data and code for analyses in Blaszczak et al. 2023, Models of underlying autotrophic biomass dynamics fit to daily river ecosystem productivity estimates improve understanding of ecosystem disturbance and resilience. See publication and ReadMe file for analysis description and further details. bioRxiv pre-print: Blaszczak, J.R., Yackulic, C., Shriver, R., & R.O. Hall, Jr. 2023. Models of underlying autotrophic biomass dynamics fit to daily river ecosystem productivity estimates improve understanding of ecosystem disturbance and resilience. https://doi.org/10.1101/2023.04.11.535773
DOI: 10.5281/zenodo.7942388
title: Data and Code for Blaszczak et al. 2023, Models of underlying autotrophic biomass dynamics fit to daily river ecosystem productivity estimates improve understanding of ecosystem disturbance and resilience

description: Data and code for analyses in Blaszczak et al. 2023, Models of underlying autotrophic biomass dynamics fit to daily river ecosystem productivity estimates improve understanding of ecosystem disturbance and resilience. See publication and ReadMe file for analysis description and further details. bioRxiv pre-print: Blaszczak, J.R., Yackulic, C., Shriver, R., & R.O. Hall, Jr. 2023. Models of underlying autotrophic biomass dynamics fit to daily river ecosystem productivity estimates improve understanding of ecosystem disturbance and resilience. https://doi.org/10.1101/2023.04.11.535773
DOI: 10.5517/ccdc.csd.cc29g3d9
title: CCDC 2128720: Experimental Crystal Structure Determination

description: Related Article: Chloe M Taylor, Michael Breadmore, Nathan Laird Kilah|2023|Sens. Diagn.|2|676|doi:10.1039/D3SD00035D
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.cc2cxp99
title: CCDC 2202311: Experimental Crystal Structure Determination

description: Related Article: Hongliang Shi, Huachen Hou, Jinbo Duan, Jinwei Huang, Xiaoguang Duan, Xingang Xie, Huilin Li, Xuegong She|2023|Org.Lett.|25|3358|doi:10.1021/acs.orglett.3c00755
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.cc2cxpbb
title: CCDC 2202312: Experimental Crystal Structure Determination

description: Related Article: Hongliang Shi, Huachen Hou, Jinbo Duan, Jinwei Huang, Xiaoguang Duan, Xingang Xie, Huilin Li, Xuegong She|2023|Org.Lett.|25|3358|doi:10.1021/acs.orglett.3c00755
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.cc2cxpcc
title: CCDC 2202313: Experimental Crystal Structure Determination

description: Related Article: Hongliang Shi, Huachen Hou, Jinbo Duan, Jinwei Huang, Xiaoguang Duan, Xingang Xie, Huilin Li, Xuegong She|2023|Org.Lett.|25|3358|doi:10.1021/acs.orglett.3c00755
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.cc2cxpdd
title: CCDC 2202314: Experimental Crystal Structure Determination

description: Related Article: Hongliang Shi, Huachen Hou, Jinbo Duan, Jinwei Huang, Xiaoguang Duan, Xingang Xie, Huilin Li, Xuegong She|2023|Org.Lett.|25|3358|doi:10.1021/acs.orglett.3c00755
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.cc2dm0vx
title: CCDC 2222819: Experimental Crystal Structure Determination

description: Related Article: Hao Liu, Zi-Rong Gong, Yu Zhao, Jing Zheng, Yan-Jun Xu, Lin Dong|2023|J.Org.Chem.|88|6108|doi:10.1021/acs.joc.3c00537
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.cc2dpp93
title: CCDC 2225375: Experimental Crystal Structure Determination

description: Related Article: Shao-Yong Chen, Yi-Chuan Zheng, Xu-Ge Liu, Jia-Lin Song, Lin Xiao, Shang-Shi Zhang|2023|J.Org.Chem.|88|5512|doi:10.1021/acs.joc.3c00060
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.cc2dppb4
title: CCDC 2225376: Experimental Crystal Structure Determination

description: Related Article: Shao-Yong Chen, Yi-Chuan Zheng, Xu-Ge Liu, Jia-Lin Song, Lin Xiao, Shang-Shi Zhang|2023|J.Org.Chem.|88|5512|doi:10.1021/acs.joc.3c00060
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.cc2f1xv8
title: CCDC 2236180: Experimental Crystal Structure Determination

description: Related Article: Hongliang Shi, Huachen Hou, Jinbo Duan, Jinwei Huang, Xiaoguang Duan, Xingang Xie, Huilin Li, Xuegong She|2023|Org.Lett.|25|3358|doi:10.1021/acs.orglett.3c00755
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.cc2fcth4
title: CCDC 2245686: Experimental Crystal Structure Determination

description: Related Article: Hongliang Shi, Huachen Hou, Jinbo Duan, Jinwei Huang, Xiaoguang Duan, Xingang Xie, Huilin Li, Xuegong She|2023|Org.Lett.|25|3358|doi:10.1021/acs.orglett.3c00755
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: 10.5281/zenodo.7951983
title: MMCFSv2 initial conditions 2022 for the simulations reported in GMD manuscript

description: MMCFSv2 initial conditions 2022 for the simulations reported in GMD manuscript
DOI: 10.5281/zenodo.7951982
title: MMCFSv2 initial conditions 2022 for the simulations reported in GMD manuscript

description: MMCFSv2 initial conditions 2022 for the simulations reported in GMD manuscript
DOI: 10.14457/nida.the.2019.134
title: มาตรการทางกฎหมายในการจัดการปัญหาสุนัขจรจัดในประเทศไทย: ศึกษากรณีบทบาทของเจ้าของสุนัข ผู้ประกอบกิจการเพื่อจำหน่ายสุนัข และหน่วยงานรัฐ
DOI: 10.14457/nida.the.2015.159
title: Valuing a high altitude mountain ecosystem and creating policy instruments for ecotourism development : a case study of Yulong mountain, China
DOI: 10.14457/nida.the.2015.160
title: Property tax in Thailand : a case for value capture taxation
DOI: 10.14457/nida.the.2018.145
title: ข้อพิจารณาเกี่ยวกับที่มาหน้าที่และอำนาจของสมาชิกวุฒิสภาตามรัฐธรรมนูญแห่งราชอาณาจักรไทย พุทธศักราช 2560
DOI: 10.14457/nida.the.2016.181
title: The influence of organisational structure on customer issue resolution : a phenomenological study on Suvarnabhumi Airport in Thailand
DOI: 10.14457/nida.the.2018.146
title: มาตรการทางกฎหมายในการควบคุมสถานพยาบาลในการทำศัลยกรรมความงาม
DOI: 10.14457/nida.the.2018.147
title: การประเมินมูลค่าสิทธิบัตรเพื่อใช้เป็นหลักประกันทางธุรกิจ
DOI: 10.14457/nida.the.2018.148
title: ปัญหาทางกฎหมายเกี่ยวกับการกำหนดผู้มีส่วนได้ส่วนเสียในกระบวนการทำประชาพิจารณ์ในโครงการที่มีผลกระทบต่อสิ่งแวดล้อม
DOI: 10.14457/nida.the.2018.149
title: ปัญหาในการให้ความคุ้มครองเครื่องหมายการค้าในรูปของการแสดงท่าทางเพื่อให้ผู้บริโภคเกิดความสนใจในสินค้าโดยการโฆษณา (Advertising Gimmick)
DOI: 10.14457/nida.the.2018.150
title: Transformational and transactional leadership: the features, existence, and influence
DOI: 10.14457/nida.the.2018.151
title: The development of safety culture assessment and its validation: case study of Thai truck drivers
DOI: 10.15151/esrf-es-1209875517
title: Belgian BAG

description: The BAG includes groups situated at four Flemish universities: Antwerp, Brussels, Ghent and Leuven. Several of these groups are part of the elite Flemish Institute of Biotechnology (VIB). The proposed projects are highly diverse, including viral, prokaryotic and eukaryotic proteins with a strong focus on targets and processes of biomedical relevance. Many projects deal with membrane proteins, cell surface receptors and protein-protein complexes. Central to the research in the BAG associated groups is the employment of integrative methods in structural biology combining X-ray crystallography, SAXS, and cryo-electron microscopy. Many crystals in the various proposed projects are small in size and radiation sensitive, requiring the use of the high brilliance MX beam lines, preferably with micro-focused X-rays. This is a continuation of a previous Belgian BAG which has resulted in numerous top-tier publications.
DOI: 10.15151/esrf-es-1193965873
title: Making Nano-popcorn OR Fast structural transitions in poly saccharides probed with in-situ millisecond time-resolved micro-diffraction and

description: It is an accepted paradigm that biopolymers containing hydrogen-bond stabilized secondary structures (e.g. beta-pleated sheets) do not melt upon input of heat energy alone. However, recent developments in ultra-fast chip calorimetry have shown that under the right conditions such materials can reveal reversible crystal-to-melt transitions applying fast heating programs of several thousand Ks-1. In the proposed experiment, we are going to apply ultra-fast chip calorimetry in combination with millisecond timeresolved micro-diffraction directly recorded with fast pixel array detectors to address the structural response of starch (potato and tulip), chitin (shrimp) and saccharose on ultra-fast temperature changes insitu. Understanding the mechanisms of melting and crystallization of this group of polysaccharides will provide insights as to novel material processing technologies applicable to such natural polymers.
DOI: 10.15151/esrf-es-1194181102
title: Li battery studies, model electrode to full cell

description: we will test here to devices : Cell one : a full Varta Cell (LNMC//liquid-elec//graphite+silcon). coin cell shaped. sealed. 30mAh. this cell, would be tested in WAXs tomographie, post mortem (no cycling ) Cell two : liquid Cell, to study specifically interphases via GIWAXS. assembled in glove box