cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2dbzzq
title: CCDC 2215104: Experimental Crystal Structure Determination

description: Related Article: Soňa Kohúteková, Irena Matulková, Martin Zábranský, Jaime Lledó Martín, Ivana Císařová, Róbert Gyepes, Petr Němec, Marlena Gryl, Tomasz Seidler, Ivan Němec|2023|J.Solid State Chem.|327|124288|doi:10.1016/j.jssc.2023.124288
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.cc2dpn70
title: CCDC 2225342: Experimental Crystal Structure Determination

description: Related Article: Mei Zhang, Liping Lu, Jianqing Li, Jingjing Guo, Zujin Zhao, Irfan Majeed, Zhuo Zeng|2023|Dyes Pigm.|219|111637|doi:10.1016/j.dyepig.2023.111637
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.cc2dpn81
title: CCDC 2225343: Experimental Crystal Structure Determination

description: Related Article: Mei Zhang, Liping Lu, Jianqing Li, Jingjing Guo, Zujin Zhao, Irfan Majeed, Zhuo Zeng|2023|Dyes Pigm.|219|111637|doi:10.1016/j.dyepig.2023.111637
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.cc2dpn92
title: CCDC 2225344: Experimental Crystal Structure Determination

description: Related Article: Mei Zhang, Liping Lu, Jianqing Li, Jingjing Guo, Zujin Zhao, Irfan Majeed, Zhuo Zeng|2023|Dyes Pigm.|219|111637|doi:10.1016/j.dyepig.2023.111637
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.cc2dpnb3
title: CCDC 2225345: Experimental Crystal Structure Determination

description: Related Article: Mei Zhang, Liping Lu, Jianqing Li, Jingjing Guo, Zujin Zhao, Irfan Majeed, Zhuo Zeng|2023|Dyes Pigm.|219|111637|doi:10.1016/j.dyepig.2023.111637
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.cc2dpzcg
title: CCDC 2225656: Experimental Crystal Structure Determination

description: Related Article: Byeol Ryu, Eun-Jin Park, Thi-Phuong Doan, Hyo-Moon Cho, Ponce-Zea Jorge Eduardo, Van-Hieu Mai, Vahideh Oveissi, Won-Keun Oh|2023|Phytochemistry|215|113836|doi:10.1016/j.phytochem.2023.113836
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.cc2f3ny5
title: CCDC 2237857: Experimental Crystal Structure Determination

description: Related Article: Bhavna Saroha, Gourav Kumar, Priyanka Arya, Neera Raghav, Suresh Kumar|2023|Bioorg.Chem.|140|106805|doi:10.1016/j.bioorg.2023.106805
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.cc2f3nz6
title: CCDC 2237858: Experimental Crystal Structure Determination

description: Related Article: Bhavna Saroha, Gourav Kumar, Priyanka Arya, Neera Raghav, Suresh Kumar|2023|Bioorg.Chem.|140|106805|doi:10.1016/j.bioorg.2023.106805
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.cc2f8855
title: CCDC 2242266: Experimental Crystal Structure Determination

description: Related Article: Mei Zhang, Liping Lu, Jianqing Li, Jingjing Guo, Zujin Zhao, Irfan Majeed, Zhuo Zeng|2023|Dyes Pigm.|219|111637|doi:10.1016/j.dyepig.2023.111637
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.24047457
title: 论文数据

description: 用于研究北京高温下情绪及其与城市功能区相关性的数据
DOI: 10.6084/m9.figshare.24047457.v1
title: 论文数据

description: 用于研究北京高温下情绪及其与城市功能区相关性的数据
DOI: 10.5281/zenodo.6581068
title: Months before diagnosis, gestational diabetes is characterized by microbiota-induced inflammation

description: <strong>Gestational diabetes mellitus (GDM) is a condition in which non-diabetic women are diagnosed with glucose intolerance during pregnancy, typically in the second trimester. GDM can lead to a wide range of obstetrical and metabolic complications for both mother and neonate. Early identification of GDM risk, along with a better understanding of its pathophysiology during the first trimester of pregnancy, may be effective in reducing GDM incidence, as well as its associated short and long term morbidities. Here, we comprehensively profiled the gut microbiome, metabolome, inflammatory cytokines, nutrition and clinical records of 394 women during the first trimester of pregnancy before GDM diagnosis.</strong>
DOI: 10.5281/zenodo.6581067
title: Months before diagnosis, gestational diabetes is characterized by microbiota-induced inflammation

description: <strong>Gestational diabetes mellitus (GDM) is a condition in which non-diabetic women are diagnosed with glucose intolerance during pregnancy, typically in the second trimester. GDM can lead to a wide range of obstetrical and metabolic complications for both mother and neonate. Early identification of GDM risk, along with a better understanding of its pathophysiology during the first trimester of pregnancy, may be effective in reducing GDM incidence, as well as its associated short and long term morbidities. Here, we comprehensively profiled the gut microbiome, metabolome, inflammatory cytokines, nutrition and clinical records of 394 women during the first trimester of pregnancy before GDM diagnosis.</strong>
DOI: 10.26186/133472
title: McBride Basalt Province extent

description: The outcrop extent of the McBride Basalt Province, selected from the Queensland Detailed Surface Geology vector polygon mapping, March 2017. © State of Queensland (Department of Natural Resources and Mines) 2017 Creative Commons Attribution
DOI: 10.26186/133464
title: Nulla Basalt Province extent

description: The outcrop extent of the Nulla Basalt Province, selected from the Queensland Detailed Surface Geology vector polygon mapping, March 2017. © State of Queensland (Department of Natural Resources and Mines) 2017 Creative Commons Attribution
DOI: 10.6084/m9.figshare.24097857.v1
title: Identification of tsRNA in muscle, liver, spleen, and small intestine of IUGR and normal pigs.

description: We identified the tRNA-derived small RNA (tsRNA) of IUGR and normal pigs. Differential expression analysis was performed on these tsRNAs. In addition, we conducted KEGG functional enrichment analysis on target genes with differentially expressed tsRNA.
DOI: 10.5281/zenodo.8262822
title: Dense vegetation hinders sediment transport towards saltmarsh interiors - Supporting data and source code (Part IV: Post-processing)

description: This is Part IV of the supporting data and source code for the paper entitled "Dense vegetation hinders sediment transport towards saltmarsh interiors", submitted to <em>Geophysical Research Letters.</em> It contains all input and output files for the post-processing of all model results. To be able to run the scripts as is, the folder structure should be as follows: Runs (includes all model run folders from Part II and Part III)<br> Post/Basic/Channels<br> Post/Basic/Integrals<br> Post/Basic/Median_neighborhood_analysis (includes all unzipped MNA_TIGER_XX.zip folders)<br> Post/Basic/Skeleton_clean<br> Post/Basic/Skeleton_final<br> Post/Basic/Skeleton_raw<br> Post/Basic/Unchanneled_path_length<br> Post/Basic/Watersheds<br> Post/Basic/Scenarios.txt<br> Post/Basic/TIGER_2km_5m.slf<br> Post/Paper_1/Erosion-deposition<br> Post/Paper_1/Fluxes<br> Post/Paper_1/Profiles
description: Other funding: Research Foundation – Flanders (FWO), fundamental research project, Grant no. G031620N.
DOI: 10.5281/zenodo.8262556
title: Dense vegetation hinders sediment transport towards saltmarsh interiors - Supporting data and source code (Part III: Extra runs)

description: This is Part III of the supporting data and source code for the paper entitled "Dense vegetation hinders sediment transport towards saltmarsh interiors", submitted to <em>Geophysical Research Letters.</em> It contains all input and output files for the extra simulations used in the paper (Figures S2-S5). Each zip file corresponds to a model run. TIGER_XX.zip: Scenario XX, hydro-morphodynamics and vegetation dynamics, years 0-100.<br> TIGER_XX_100.zip: Scenario XX, hydro-morphodynamics and vegetation dynamics, years 100-200.<br> TIGER_XX_HYYY.zip: Scenario XX, hydro-morphodynamics only, year YYY. Main scenarios (Figures 1-5, S2, S4-S7):<br> - 01: Spartina<br> - 02: Salicornia<br> - 83: No vegetation Additional scenarios (Figures S2, S8-S10):<br> - 10: Dense, homogeneous (Figure S2)<br> - 11: Sparse, patchy (Figure S2)<br> - 122: Spartina, low settling velocity (Figure S8)<br> - 123: Spartina, high settling velocity (Figure S8)<br> - 124: Salicornia, low settling velocity (Figure S8)<br> - 125: Salicornia, high settling velocity (Figure S8)<br> - 126: No vegetation, low settling velocity (Figure S8)<br> - 127: No vegetation, high settling velocity (Figure S8)<br> - 128: Spartina, low critical bed erosion shear stress (Figure S8)<br> - 129: Spartina, high critical bed erosion shear stress (Figure S8)<br> - 130: Salicornia, low critical bed erosion shear stress (Figure S8)<br> - 131: Salicornia, high critical bed erosion shear stress (Figure S8)<br> - 132: No vegetation, low critical bed erosion shear stress (Figure S8)<br> - 133: No vegetation, high critical bed erosion shear stress (Figure S8)<br> - 134: Spartina, low Partheniades constant (Figure S8)<br> - 143: Spartina, high Partheniades constant (Figure S8)<br> - 136: Salicornia, low Partheniades constant (Figure S8)<br> - 144: Salicornia, high Partheniades constant (Figure S8)<br> - 138: No vegetation, low Partheniades constant (Figure S8)<br> - 145: No vegetation, high Partheniades constant (Figure S8)<br> - 76: Spartina, replicate #1 (Figures S9-S10)<br> - 77: Spartina, replicate #2 (Figures S9-S10)<br> - 78: Spartina, replicate #3 (Figures S9-S10)<br> - 88: Spartina, replicate #4 (Figures S9-S10)<br> - 80: Salicornia, replicate #1 (Figures S9-S10)<br> - 81: Salicornia, replicate #2 (Figures S9-S10)<br> - 82: Salicornia, replicate #3 (Figures S9-S10)<br> - 89: Salicornia, replicate #4 (Figures S9-S10)<br> - 85: No vegetation, replicate #1 (Figures S9-S10)<br> - 86: No vegetation, replicate #2 (Figures S9-S10)<br> - 87: No vegetation, replicate #3 (Figures S9-S10)<br> - 90: No vegetation, replicate #4 (Figures S9-S10)
description: Other funding: Research Foundation – Flanders (FWO), fundamental research project, Grant no. G031620N.
DOI: 10.4121/583cece5-be22-4348-9c33-7149e6007bed
title: Memorable moments and eye gaze state during cHRI, audio recordings and transcriptions of post-interaction interviews

description: The dataset contains children's eye gaze behaviour during child-robot interactions with a NAO robot, in the form of text files describing the gaze state per video frame, as well as audio recordings and transcriptions to text of post-child-robot-interaction interviews between researcher and child. Information gained from the post-interaction interviews is used to partition and label the gaze states into a (final) machine-readable dataset.
DOI: 10.4121/583cece5-be22-4348-9c33-7149e6007bed.v1
title: Memorable moments and eye gaze state during cHRI, audio recordings and transcriptions of post-interaction interviews

description: The dataset contains children's eye gaze behaviour during child-robot interactions with a NAO robot, in the form of text files describing the gaze state per video frame, as well as audio recordings and transcriptions to text of post-child-robot-interaction interviews between researcher and child. Information gained from the post-interaction interviews is used to partition and label the gaze states into a (final) machine-readable dataset.
DOI: 10.25442/hku.24025044
title: Supporting Data For: "ADIPONECTIN DEFICIENCY EXAGGERATES CORTICAL AND HIPPOCAMPAL NEUROINFLAMMATION FOLLOWING SEVOFLURANE EXPOSURE"

description: With escalating global obesity rates comes an increase in surgical procedures for affected individuals. Central to this is the anesthetic sevoflurane, whose implications on the central nervous system (CNS) have been questioned, especially concerning cognitive dysfunction post-surgery. Particularly, this concern is heightened in obese patients who are more prone to conditions like diabetes. Amidst this backdrop, our attention turns to adiponectin, a molecule from adipocytes known for its neuroprotective qualities. Decreased adiponectin levels have been linked to cognitive dysfunction models, including those tied to obesity. This study explores the role of adiponectin in determining the vulnerability of obese individuals to cognitive impairments after sevoflurane exposure.This dataset contains the raw data used in the Thesis: ADIPONECTIN DEFICIENCY EXAGGERATES CORTICAL AND HIPPOCAMPAL NEUROINFLAMMATION FOLLOWING SEVOFLURANE EXPOSURE. Please read readme.txt for dataset structure.
DOI: 10.25442/hku.24025044.v1
title: Supporting Data For: "ADIPONECTIN DEFICIENCY EXAGGERATES CORTICAL AND HIPPOCAMPAL NEUROINFLAMMATION FOLLOWING SEVOFLURANE EXPOSURE"

description: With escalating global obesity rates comes an increase in surgical procedures for affected individuals. Central to this is the anesthetic sevoflurane, whose implications on the central nervous system (CNS) have been questioned, especially concerning cognitive dysfunction post-surgery. Particularly, this concern is heightened in obese patients who are more prone to conditions like diabetes. Amidst this backdrop, our attention turns to adiponectin, a molecule from adipocytes known for its neuroprotective qualities. Decreased adiponectin levels have been linked to cognitive dysfunction models, including those tied to obesity. This study explores the role of adiponectin in determining the vulnerability of obese individuals to cognitive impairments after sevoflurane exposure.This dataset contains the raw data used in the Thesis: ADIPONECTIN DEFICIENCY EXAGGERATES CORTICAL AND HIPPOCAMPAL NEUROINFLAMMATION FOLLOWING SEVOFLURANE EXPOSURE. Please read readme.txt for dataset structure.
DOI: 10.25959/yeng-y344
title: Integrated data for natural resource managers - V.2.0

description: A compilation of Australian data that are (a) publicly available; and (b) use consistent measures across the continent.  The compilation is deliberately broad - aiming to include variables that describe each of four 'capitals' (natural, human, social / institutional and financial/built). 
Our data set includes 6 unique files:
1) Metadata.xlsx: provides Data citations and license details for 37 unique data sources and all variable details as processed in this dataset
2) data_description_nrm_2023.html: Data description of variables and summary methods as output summary code
3) ibra_compile_2023.csv: tabular summary for IBRA regions 
4) nrm_compile_2023.csv: tabular summary for NRM regions
5) NESP RL Hub IBRA subregions 2023.lpk: spatial layer package for IBRA regions
6) NESP RL Hub NRM regions 2023.lpk: spatial layer package for NRM regions
The data presented here is provided under a Creative Commons CC-BY Attribution 3.0 Australia  license.  For the avoidance of doubt, this  only applies to material as set out in this data record.
DOI: 10.5281/zenodo.8323508
title: Aotearoa New Zealand RSQSim model outputs for tsunami modelling

description: RSQSim model outputs to support the publication: "<strong>A Novel Method to Determine Probabilistic Tsunami Hazard using a Physics-based Synthetic Earthquake Catalog: a New Zealand Case Study</strong>" by Hughes et al. (2023; JGR, submitted). In many respects, these model outputs represent an updated version of the New Zealand RSQSim catalogue published by Shaw et al. (2022; doi.org/10.5281/zenodo.5534462). This archive contains: The outputs of an updated RSQSim synthetic earthquake catalogue for Aotearoa-New Zealand. A ~30kyr subset of the main catalogue, trimmed to a minimum M<sub>W</sub> of 7.0. Summary figures comparing the statistical properties of the synthetic catalogue to observations of New Zealand seismicity. Python scripts for visualizing the synthetic earthquake catalogue, and calculating seafloor displacements from synthetic earthquakes that can be used as tsunami model inputs. For more information, please refer to the publications cited above and/or the more detailed README files within the archive.
DOI: 10.6084/m9.figshare.24099387.v1
title: <b>Identification of lncRNA and weighted gene coexpression network analysis of germinating </b><b><i>Rhizopus delemar </i></b><b>causing mucormycosis</b>

description: In this study, novel lncRNA identification and weighted gene co-expression network analysis of germinating <i>Rhizopus delemar </i>which causes a fatal mucormycosis disease was done <i> </i>reusing a publically available data. Here we provide the GTF file of the novel transcripts for the assembly GCA_000149305.1 (<i>Rhizopus delemar</i> RA 99-880) as well class codes of the merged transcripts analyzed in this study.
DOI: 10.6084/m9.figshare.24088284.v1
title: Bathymetric data from Sarmiento de Gamboa Antarctic expedition (2019)

description: The purpose of this study was to conduct a bathymetric survey in the Bransfield Strait as part of the BRAVOSEIS Project, specifically focusing on data collected during the Sarmiento de Gamboa Antarctic expedition in 2019.
DOI: 10.4121/a4e3765b-9e32-492b-96fe-a9b760baef48
title: Data underlying the figures in the paper "Low disorder and high valley splitting in silicon"

description: Data and analysis script to reproduce all the figures of the paper "Low disorder and high valley splitting in silicon" Preprint at https://arxiv.org/abs/2309.02832<br>Please read the README file for more information. Correspondence should be addressed to D.DegliEsposti@tudelft.nl and G.Scappucci@tudelft.nl.
DOI: 10.4121/a4e3765b-9e32-492b-96fe-a9b760baef48.v2
title: Data underlying the figures in the paper "Low disorder and high valley splitting in silicon"

description: Data and analysis script to reproduce all the figures of the paper "Low disorder and high valley splitting in silicon" Preprint at https://arxiv.org/abs/2309.02832<br>Please read the README file for more information. Correspondence should be addressed to D.DegliEsposti@tudelft.nl and G.Scappucci@tudelft.nl.
DOI: 10.14272/dblydxdfrqusrq-qyqcsxrtsa-f
title: C51H49Cu8N16O16
title: InChI=1S/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367]. The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]: InChI descriptor[cheminf_000113]: InChI=1S/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;, and canonical SMILES descriptor[cheminf_000007]: C1CN2CCN1CC2.C1CN2CCN1CC2.[O-]C(=O)C.[O-]C(=O)C.[O-]C(=O)C.[O-]C(=O)C.[N-]=[N+]=Nc1cc(ccc1/C=C/c1ccc(cc1N=[N+]=[N-])C(=O)[O-])C(=O)[O-].[N-]=[N+]=Nc1cc(ccc1/C=C/c1ccc(cc1N=[N+]=[N-])C(=O)[O-])C(=O)[O-].[Cu][Cu].[Cu][Cu].[Cu][Cu].[Cu][Cu], and by the IUPAC name[cheminf_000107]: . The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]: The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-35804 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]: Melting point descriptor[CHEMINF_000256]: Boiling point descriptor[CHEMINF_000257]: Refractive index descriptor[CHEMINF_000253]: The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]: CHMO:0000156 | X-ray diffraction (XRD) The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: Used ontologies: CHEBI - Chemical Entities of Biological Interest CHEMINF - chemical information ontology (information entities about chemical entities) CHMO - Chemical Methods Ontology OBI - Ontology for Biomedical Investigations
DOI: 10.14272/dblydxdfrqusrq-qyqcsxrtsa-f/chmo0000156
title: X-ray diffraction (XRD) ()
title: InChI=1S/2C16H10N6O4.2C6H12N2.4C2H4O2.8Cu/c2*17-21-19-13-7-11(15(23)24)5-3-9(13)1-2-10-4-6-12(16(25)26)8-14(10)20-22-18;2*1-2-8-5-3-7(1)4-6-8;4*1-2(3)4;;;;;;;;/h2*1-8H,(H,23,24)(H,25,26);2*1-6H2;4*1H3,(H,3,4);;;;;;;;/p-8/b2*2-1+;;;;;;;;;;;;;;

description: dataset for X-ray diffraction (XRD)