cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21129897
title: OTU.table.FLB.txt

description: This is a OTU table of free-living bacteria (FLB) involved in this study.
DOI: 10.6084/m9.figshare.21129897.v1
title: OTU.table.FLB.txt

description: This is a OTU table of free-living bacteria (FLB) involved in this study.
DOI: 10.6084/m9.figshare.21129917
title: R code

description: This is the key R codes in this study.
DOI: 10.6084/m9.figshare.21129917.v1
title: R code

description: This is the key R codes in this study.
DOI: 10.6084/m9.figshare.21151964
title: Additional file 2 of The role of DNA demethylation in liver to pancreas transdifferentiation

description: Additional file 2. Table S1. TD induces hypomethylation.
DOI: 10.6084/m9.figshare.21151964.v1
title: Additional file 2 of The role of DNA demethylation in liver to pancreas transdifferentiation

description: Additional file 2. Table S1. TD induces hypomethylation.
DOI: 10.6084/m9.figshare.21151967.v1
title: Additional file 3 of The role of DNA demethylation in liver to pancreas transdifferentiation

description: Additional file 3. Table S2. TD-prone cells compared to TD-resistant cells.
DOI: 10.6084/m9.figshare.21151967
title: Additional file 3 of The role of DNA demethylation in liver to pancreas transdifferentiation

description: Additional file 3. Table S2. TD-prone cells compared to TD-resistant cells.
DOI: 10.6084/m9.figshare.21151976
title: Additional file 1 of Dietary patterns before and during pregnancy and small for gestational age in Japan: a prospective birth cohort study

description: Additional file 1: Supplementary Table 1. Factor loadings and explained variation of dietary patterns identified using RRR, PLS and PCA from early to mid pregnancy. Supplementary Table 2. Associations of dietary patterns with birth weight SD score and SGA from early to mid pregnancy. Supplementary Table 3. Characteristics of participants stratified by the adoption to the RRR patterns. Supplementary Table 4. Characteristics of participants stratified by the adoption to the PLS patterns. Supplementary Table 5. Characteristics of participants stratified by the adoption to the PCA1 patterns. Supplementary Table 6. Characteristics of participants stratified by the adoption to the PCA2 patterns. Supplementary Table 7. Factor loadings and explained variation of dietary patterns identified using RRR, PLS and PCA with the excluded subjects who had available data on dietary intake and incidence of SGA (n = 18,667). Supplementary Table 8. Associations of dietary patterns with birth weight SD score and SGA with the excluded subjects who had available data on dietary intake and incidence of SGA (n = 18,667). Supplementary Table 9. The characteristics of the 17,728 mothers who were analyzed and the 4765 mothers who were excluded from the analysis. Supplementary Table 10. Factor loadings and explained variation of dietary patterns identified using RRR, PLS and PCA in subjects without gestational diabetes mellitus (n = 17,325). Supplementary Table 11. Associations of dietary patterns with birth weight SD score and SGA in subjects without gestational diabetes mellitus (n = 17,325).
DOI: 10.6084/m9.figshare.21151976.v1
title: Additional file 1 of Dietary patterns before and during pregnancy and small for gestational age in Japan: a prospective birth cohort study

description: Additional file 1: Supplementary Table 1. Factor loadings and explained variation of dietary patterns identified using RRR, PLS and PCA from early to mid pregnancy. Supplementary Table 2. Associations of dietary patterns with birth weight SD score and SGA from early to mid pregnancy. Supplementary Table 3. Characteristics of participants stratified by the adoption to the RRR patterns. Supplementary Table 4. Characteristics of participants stratified by the adoption to the PLS patterns. Supplementary Table 5. Characteristics of participants stratified by the adoption to the PCA1 patterns. Supplementary Table 6. Characteristics of participants stratified by the adoption to the PCA2 patterns. Supplementary Table 7. Factor loadings and explained variation of dietary patterns identified using RRR, PLS and PCA with the excluded subjects who had available data on dietary intake and incidence of SGA (n = 18,667). Supplementary Table 8. Associations of dietary patterns with birth weight SD score and SGA with the excluded subjects who had available data on dietary intake and incidence of SGA (n = 18,667). Supplementary Table 9. The characteristics of the 17,728 mothers who were analyzed and the 4765 mothers who were excluded from the analysis. Supplementary Table 10. Factor loadings and explained variation of dietary patterns identified using RRR, PLS and PCA in subjects without gestational diabetes mellitus (n = 17,325). Supplementary Table 11. Associations of dietary patterns with birth weight SD score and SGA in subjects without gestational diabetes mellitus (n = 17,325).
DOI: 10.6084/m9.figshare.21151985
title: Additional file 10 of ATP-citrate lyase B (ACLB) negatively affects cell death and resistance to Verticillium wilt

description: Additional file 10: Data S1. Amino acid sequences of ACL proteins in 22 plant species.
DOI: 10.6084/m9.figshare.21151985.v1
title: Additional file 10 of ATP-citrate lyase B (ACLB) negatively affects cell death and resistance to Verticillium wilt

description: Additional file 10: Data S1. Amino acid sequences of ACL proteins in 22 plant species.
DOI: 10.6084/m9.figshare.21152051
title: Additional file 5 of Individual competence predominates over host nutritional status in Arabidopsis root exudate-mediated bacterial enrichment in a combination of four Burkholderiaceae species

description: Additional file 5.
DOI: 10.6084/m9.figshare.21152051.v1
title: Additional file 5 of Individual competence predominates over host nutritional status in Arabidopsis root exudate-mediated bacterial enrichment in a combination of four Burkholderiaceae species

description: Additional file 5.
DOI: 10.6084/m9.figshare.21152077
title: Gene database of Helicobacter pylori

description: Helicobacter pylori is a causative agent for many incidences of peptic ulcer in the stomach. A bacterium-based infection able to be resolved by a course of antibiotics, untreated stomach ulcers could nevertheless progress to form stomach cancers. More importantly, there has been increasing prevalence of H. pylori infections observed clinically. This work sought to provide foundational information of the genetic repertoire of H. pylori by parsing its annotated genome sequence downloaded from Genbank. Comprising gene name, gene function, and gene sequence, the resource should be a good initiator for further studies aiming to understand the molecular underpinnings of H. pylori pathogenesis.
DOI: 10.34740/kaggle/dsv/4217787
title: Russian Invasion of Ukraine
DOI: 10.5281/zenodo.7045169
title: Danghe Nan Shan Lidar DEM

description: It is the high-resolution DEM derived from the Lidar point cloud.
DOI: 10.5281/zenodo.7045168
title: Danghe Nan Shan Lidar DEM

description: It is the high-resolution DEM derived from the Lidar point cloud.
DOI: 10.5519/qd.fkyiu1ij
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5066/p954ttqn
title: Data and Code for Predicting Flood Damage Probability Across the Conterminous United States

description: This data release contains the associated data described in the related primary publication, "Predicting Flood Damage Probability Across the Conterminous United States" (Collins et al. [2022], see Related External Resources section). Publicly available geospatial datasets and random forest algorithms were used to analyze the spatial distribution and underlying drivers of flood damage probability caused by excessive rainfall and overflowing water bodies across the conterminous United States. Datasets contain input files for predictor and response variables used in the analysis and output files of flood damage probabilities generated from the analysis.
DOI: 10.21227/ppsg-g354
title: EMG1K dataset

description: This dataset containg EMG data recorded with a sample rate of 1kHz. Data was collected from  the brachioradialis, flexor carpi ulnaris and common extensor digitorum muscles.
DOI: 10.5517/ccdc.csd.cc299shx
title: CCDC 2124569: Experimental Crystal Structure Determination

description: Related Article: Maja A. Dunstan, Marina Cagnes, Wasinee Phonsri, Keith S. Murray, Richard A. Mole, Colette Boskovic|2022|Aust.J.Chem.|75|595|doi:10.1071/CH21306
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.cc299sjy
title: CCDC 2124570: Experimental Crystal Structure Determination

description: Related Article: Maja A. Dunstan, Marina Cagnes, Wasinee Phonsri, Keith S. Murray, Richard A. Mole, Colette Boskovic|2022|Aust.J.Chem.|75|595|doi:10.1071/CH21306
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.cc299skz
title: CCDC 2124571: Experimental Crystal Structure Determination

description: Related Article: Maja A. Dunstan, Marina Cagnes, Wasinee Phonsri, Keith S. Murray, Richard A. Mole, Colette Boskovic|2022|Aust.J.Chem.|75|595|doi:10.1071/CH21306
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: 10.6084/m9.figshare.21151948
title: An improved assembly and annotation of the sesame genome

description: In this study, we constructed an improved genome assembly of sesame using PacBio’s high-fidelity (HiFi) reads and Hi-C data. Based on this updated sesame assembly, we generated a high-confidence set of protein-coding genes. We further performed comparative genomic analysis among sesame and several other sequenced species, and investigated the evolutionary history of sesame genome. The high-quality genome assembly presented here will facilitate the genetic studies and genomics-assisted breeding of sesame. <br> genome.fasta - Genome assembly cds.fasta - coding sequences protein.fasta - protein sequences genome.gff3 - gene annotation file
DOI: 10.5281/zenodo.7089246
title: Frictionless Data Test Dataset - Version

description: This is test dataset
DOI: 10.5281/zenodo.7089279
title: Frictionless Data Test Dataset - Version

description: This is test dataset
DOI: 10.5281/zenodo.7089818
title: Frictionless Data Test Dataset - Version

description: This is test dataset
DOI: 10.5281/zenodo.7089245
title: Frictionless Data Test Dataset - Version

description: This is test dataset
DOI: 10.15151/esrf-es-874763063
title: Structural and dynamical studies from the Gothenburg BAG

description: This BAG has been remodeled in 2021 so as to reflect the realities of ESRF usage. Several years ago, at the request of the ESRF, we merged with scientists at Lund University to create a joint Gothenburg/Lund BAG. In practice, as MAX IV Laboratory (Lund) has been increasingly successful at serving the needs of its users, demand for ESRF BAG time from scientists based in Lund decreased. We are therefore returning this BAG to be from scientists at the University of Gothenburg only, which both reflects the reality of the situation and simplifies management of the BAG. Moreover, our interests of scientists at the University of Gothenburg have become increasingly dominated by serial synchrotron crystallography applications and difference X-ray scattering. For these reasons our request for beamtime has changed to create more space for these methodology developments, while maintaining an appropriate request for access to more traditional cryo-crystallography approaches.
DOI: 10.15151/esrf-es-895171225
title: BAG STRASBOURG-NANCY-DIJON

description: The members of the BAG are working on different projects, including proteins, nucleic acids and nucleic acid-protein complexes. The teams from Nancy work on structure-function relationship of glutathione transferases and RNA-protein complexes. A team from Dijon works on proteins involved in genetic disorders. The IBMC study RNAP proteins and tRNA precursors with partners in relation with the evolution of translation machinery and with human pathologies, ribozymes and RNA-protein complexes involved in the mitochondrial import. IGBMC (Strasbourg-Illkirch) teams are focused on nuclear receptors and complexes involving nuclear receptors and co-activators or co-repressors, transcription factor complexes, RNA polymerases, epigenetic molecular targets or cancer related proteins as well as large protein-nucleic acids complexes such as ribosomes.
DOI: 10.15151/esrf-es-874787747
title: Structural investigation of membrane and water soluble proteins

description: The portfolio of this BAG includes structural investigation of membrane proteins as well as soluble proteins relevant to various scientific fields. These range from basic science to application-related projects with impact on biotechnology (optogenetics, biocatalysts) and medicine (understanding and combating bacterial and viral pathogens).
DOI: 10.15151/esrf-es-894751246
title: Liquid crystals meet energy storage: Deciphering the role of the mosaicity in structure/ionic conductivity correlation within mesomorphic el

description: For enabling next generation electrochemical energy storage devices with higher ionic transport and safety performances, beyond state-of-the-art liquid electrolytes have to be developed. In doing so, improving our understanding of the multiscale structure/transport interplay within solid-state organic electrolytes will become instrumental to address the associated scientific and technological challenges. Directing the hierarchical self-assembly of nanoscale ionic pathways appears as a promising strategy to allow the advent of such higher performance electrolytes1. Mastering defects in functional organic materials, which plays crucial roles in many nano-science/technology applications, is here applied within the context of directional confined ionic transport2 (nanoionics3) in functional soft matter. Our primary goal resumes at understanding and describing the role of mosaicity in soft matter-based electrolytes to leverage their (full) potential within the field of energy storage.
DOI: 10.15151/esrf-es-894560266
title: Influence of water on mineralogy of the lower mantle

description: Ferropericlase (Fp) and bridgmanite (Brg) are the dominant minerals of the Earth’s lower mantle. Recent discoveries on the deep-water cycle demonstrate that water can be delivered to the deepest portions of the lower mantle. Even though Fp and Brg have been intensively investigated over the last decades, our current knowledge on high-pressure (HP)-high-temperature (HT) reactions of Fp and Brg with water is very limited. In order to provide a comprehensive picture on Fp-H2O and Brg-H2O interactions at HP-HT conditions of the lower mantle, we propose to continue our multi-methodological studies employing both in situ powder and single-crystal X-ray diffraction (SCXRD) and in situ Synchrotron Mössbauer Source (SMS) at pressures above 70 GPa.
DOI: 10.6084/m9.figshare.20378268
title: Data anemia Rautahat v3wra.xlsx

description: For the study, a hospital-based cross-sectional study was conducted among women of the reproductive age group (15-45) from 15th March to 15th May 2022 after obtaining ethical clearance from the Nepal health research council. 375 women participants were selected via a simple random sampling technique. Participants underwent an interview after informed written consent followed by blood sample collection. Through a semi-structured questionnaire, the data was obtained. Then data was entered and analyzed via Microsoft Excel 2019 and Statistical Package for Social Sciences version 22.0.
DOI: 10.6084/m9.figshare.20378268.v3
title: Data anemia Rautahat v3wra.xlsx

description: For the study, a hospital-based cross-sectional study was conducted among women of the reproductive age group (15-45) from 15th March to 15th May 2022 after obtaining ethical clearance from the Nepal health research council. 375 women participants were selected via a simple random sampling technique. Participants underwent an interview after informed written consent followed by blood sample collection. Through a semi-structured questionnaire, the data was obtained. Then data was entered and analyzed via Microsoft Excel 2019 and Statistical Package for Social Sciences version 22.0.
DOI: 10.5517/ccdc.csd.cc299sl0
title: CCDC 2124572: Experimental Crystal Structure Determination

description: Related Article: Maja A. Dunstan, Marina Cagnes, Wasinee Phonsri, Keith S. Murray, Richard A. Mole, Colette Boskovic|2022|Aust.J.Chem.|75|595|doi:10.1071/CH21306
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.cc29jsj5
title: CCDC 2131297: Experimental Crystal Structure Determination

description: Related Article: Zuobang Sun, Chunyang Yu, Ningjin Zhang, Lingling Li, Yang Jiao, Palani Thiruvengadam, Dongqing Wu, Fan Zhang|2022|Org.Lett.|24|6670|doi:10.1021/acs.orglett.2c02734
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.cc29jsl7
title: CCDC 2131299: Experimental Crystal Structure Determination

description: Related Article: Zuobang Sun, Chunyang Yu, Ningjin Zhang, Lingling Li, Yang Jiao, Palani Thiruvengadam, Dongqing Wu, Fan Zhang|2022|Org.Lett.|24|6670|doi:10.1021/acs.orglett.2c02734
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.cc29jsm8
title: CCDC 2131300: Experimental Crystal Structure Determination

description: Related Article: Zuobang Sun, Chunyang Yu, Ningjin Zhang, Lingling Li, Yang Jiao, Palani Thiruvengadam, Dongqing Wu, Fan Zhang|2022|Org.Lett.|24|6670|doi:10.1021/acs.orglett.2c02734
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.cc29jspb
title: CCDC 2131302: Experimental Crystal Structure Determination

description: Related Article: Zuobang Sun, Chunyang Yu, Ningjin Zhang, Lingling Li, Yang Jiao, Palani Thiruvengadam, Dongqing Wu, Fan Zhang|2022|Org.Lett.|24|6670|doi:10.1021/acs.orglett.2c02734
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.cc29jsqc
title: CCDC 2131303: Experimental Crystal Structure Determination

description: Related Article: Zuobang Sun, Chunyang Yu, Ningjin Zhang, Lingling Li, Yang Jiao, Palani Thiruvengadam, Dongqing Wu, Fan Zhang|2022|Org.Lett.|24|6670|doi:10.1021/acs.orglett.2c02734
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.cc29jssf
title: CCDC 2131305: Experimental Crystal Structure Determination

description: Related Article: Zuobang Sun, Chunyang Yu, Ningjin Zhang, Lingling Li, Yang Jiao, Palani Thiruvengadam, Dongqing Wu, Fan Zhang|2022|Org.Lett.|24|6670|doi:10.1021/acs.orglett.2c02734
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.cc299sgw
title: CCDC 2124568: Experimental Crystal Structure Determination

description: Related Article: Maja A. Dunstan, Marina Cagnes, Wasinee Phonsri, Keith S. Murray, Richard A. Mole, Colette Boskovic|2022|Aust.J.Chem.|75|595|doi:10.1071/CH21306
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.cc29jsk6
title: CCDC 2131298: Experimental Crystal Structure Determination

description: Related Article: Zuobang Sun, Chunyang Yu, Ningjin Zhang, Lingling Li, Yang Jiao, Palani Thiruvengadam, Dongqing Wu, Fan Zhang|2022|Org.Lett.|24|6670|doi:10.1021/acs.orglett.2c02734
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.cc2b8tgx
title: CCDC 2153429: Experimental Crystal Structure Determination

description: Related Article: Zuobang Sun, Chunyang Yu, Ningjin Zhang, Lingling Li, Yang Jiao, Palani Thiruvengadam, Dongqing Wu, Fan Zhang|2022|Org.Lett.|24|6670|doi:10.1021/acs.orglett.2c02734
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.