cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14248063.v1
title: Estimation of regional surface deformation post the 2001 Bhuj earthquake in the Kachchh region, Western India using RADAR interferometry

description: The key objective of the present study is to estimate the surface displacement and to understand/monitor the active deformation pattern in the Kachchh region post the 2001 Bhuj Earthquake by implementing the Persistent Scatterer Interferometric Synthetic Aperture Radar (PSI) and Differential Interferometric Synthetic Aperture Radar (DInSAR) techniques. We employed the ENVISAT ASAR (15 images), ALOS PALSAR (6 pairs) and SENTINEL-1A (117 images) data sets acquired during the periods 2003–2005, 2007–2009, and 2016–2020 respectively. The PSI results of the Envisat dataset reveals that the Kachchh mainland region has undergone an average surface deformation of ± 22 mm/yr during 2003–2005. The maximum displacement observed from the ALOS PALSAR data sets (Window-1 to 6) during the period 2007–2009 is ∼ ± 1.2 cm. Further, the ground displacement observed from the Sentinel-1A dataset during the period 2016–2020 is ±16 mm/yr for the west-central region and 6 mm/yr uplift and 8 mm/yr subsidence in the eastern Kachchh mainland region. Surprisingly, high rate of deformation is detected towards the Pachham Island, Banni, Rann and the eastern region of the Kachchh after the 2001 Bhuj event. Correlating the results of different data sets, it is concluded that the deformation is high near the vicinity of the fault zones indicating the tectonically active nature of the faults. From the obtained results, we infer that, post the 2001 Bhuj earthquake, the surface displacement in the Kachchh mainland region is escalated till 2009 which is due to continuous aftershock activity and then started declining because of the ongoing seismic settlement. The acquired deformation rates are correlating well with the GPS derived displacement rates. Further, our results will assist in accurately demarcating the extent of the fault zones and also helps in precisely marking the areas undergoing active deformation, which will aid in micro zonation studies, mitigation planning and also for the preparation of an active tectonic map for the region.
DOI: 10.6084/m9.figshare.14627271
title: Spatial surface velocity pattern in the glaciers of Chandra Basin, Western Himalaya

description: Himalayan glaciers are distinct by their surface characteristics, such as debris-cover, supra/proglacial lakes, ice-cliff, and tributaries' contributions, thus complicating their surface velocity pattern and their response towards climate warming. While remote sensing and modelled surface velocity estimation are valuable on a larger scale, in situ high-resolution data is crucial to validate them. In this study, four glaciers (Batal, Sutri Dhaka, Samudra Tapu, and Gepang Gath) from Chandra Basin were monitored to measure point-wise surface displacement using a static GNSS system during 2017–2018. Among them, the highest surface velocity was observed over Samudra Tapu (∼64.3 ma<sup>−1</sup>), a large and clean-type glacier, while the lowest was for Batal (∼6.2 ma<sup>−1</sup>), a small and debris-covered glacier. Our study highlighted the contrasting behaviour of lake-terminating and debris-covered glaciers for the surface velocity and also emphasize the additional control of the slope, supraglacial lake, debris thickness and convergence of glacier channels on the glacier surface velocity.
DOI: 10.6084/m9.figshare.14627271.v1
title: Spatial surface velocity pattern in the glaciers of Chandra Basin, Western Himalaya

description: Himalayan glaciers are distinct by their surface characteristics, such as debris-cover, supra/proglacial lakes, ice-cliff, and tributaries' contributions, thus complicating their surface velocity pattern and their response towards climate warming. While remote sensing and modelled surface velocity estimation are valuable on a larger scale, in situ high-resolution data is crucial to validate them. In this study, four glaciers (Batal, Sutri Dhaka, Samudra Tapu, and Gepang Gath) from Chandra Basin were monitored to measure point-wise surface displacement using a static GNSS system during 2017–2018. Among them, the highest surface velocity was observed over Samudra Tapu (∼64.3 ma<sup>−1</sup>), a large and clean-type glacier, while the lowest was for Batal (∼6.2 ma<sup>−1</sup>), a small and debris-covered glacier. Our study highlighted the contrasting behaviour of lake-terminating and debris-covered glaciers for the surface velocity and also emphasize the additional control of the slope, supraglacial lake, debris thickness and convergence of glacier channels on the glacier surface velocity.
DOI: 10.6084/m9.figshare.20526861
title: pyseer.CC87_roary_lmm.res

description: Results of the association analysis between gene presence/absence and virulence in mice. The population structure was taken into account using FaST-LMM.
DOI: 10.6084/m9.figshare.20526891
title: gff_files.tar.gz

description: Annotation used to perform GWAS analysis to decipher E. coli CC87 virulence
DOI: 10.6084/m9.figshare.20526885
title: CC87_IAI1_gubbins.clean.core.tree

description: Phylogenetic tree computed with FastTree v2.1.11 from the whole genome alignment of E. coli CC87 genomes. Recombination have been filtered using Gubbins v2.3.4. The genome of IAI1 was used as an outgroup.
DOI: 10.6084/m9.figshare.20526852
title: CC87_unitig.pyseer.gz

description: Unitigs computed from the E. coli CC87 genomes and used as input of GWAS.
DOI: 10.5281/zenodo.7015140
title: MRes eeChange project - The influence of N deposition on temperate forest SOM stability

description: The data I used for an MRes eeChange project.
DOI: 10.5281/zenodo.7015139
title: MRes eeChange project - The influence of N deposition on temperate forest SOM stability

description: The data I used for an MRes eeChange project.
DOI: 10.6084/m9.figshare.20526855
title: pyseer.CC87_lmm.res

description: Results of the association analysis between unitigs and virulence in mice. The population structure was taken into account using FaST-LMM.
DOI: 10.25828/zqp0-ht27
title: Quarterly Labour Force Survey 2022, Quarter 2
DOI: 10.6084/m9.figshare.20598567
title: aquila_audax_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20598567.v1
title: aquila_audax_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20526858
title: gene_presence_absence.Rtab

description: Gene presence/absence computed with Roary 3.12.0.
DOI: 10.6084/m9.figshare.20526837
title: fasta_files.tar.gz

description: Fasta files used to perform GWAS analysis to decipher E. coli CC87 virulence
DOI: 10.5281/zenodo.7019469
title: Fangxi-Xu/Succinate_Periodontitis: Targeting Succinate Receptor Effectively Inhibits Periodontitis

description: Periodontal disease (PD) is one of the most common inflammatory diseases in humans and is initiated by an oral microbial dysbiosis that stimulates inflammation and bone loss. Here, we report an abnormal elevation of succinate in the subgingival plaque of subjects with severe PD. Succinate activates the succinate receptor-1 (SUCNR1) and stimulates inflammation. We detected SUCNR1 expression in the human and mouse periodontium and hypothesize that succinate activates SUCNR1 to accelerate periodontitis through the inflammatory response. Administration of exogenous succinate enhanced periodontal disease, whereas SUCNR1 knockout mice were protected from inflammation, oral dysbiosis, and subsequent periodontal bone loss in two different models of periodontitis. Therapeutic studies demonstrated that a novel SUCNR1 antagonist inhibited inflammatory events and osteoclastogenesis in vitro and reduced periodontal bone loss in vivo. Our study reveals a previously unknown action of succinate in promoting periodontitis and provides a novel topical treatment for this disease. Any microbiome data and r code used for downstream analysis in the manuscript were deposited to this repository. <strong>Full Changelog</strong>: https://github.com/Fangxi-Xu/Succinate_Periodontitis/commits/microbiome
DOI: 10.5281/zenodo.7019470
title: Fangxi-Xu/Succinate_Periodontitis: Targeting Succinate Receptor Effectively Inhibits Periodontitis

description: Periodontal disease (PD) is one of the most common inflammatory diseases in humans and is initiated by an oral microbial dysbiosis that stimulates inflammation and bone loss. Here, we report an abnormal elevation of succinate in the subgingival plaque of subjects with severe PD. Succinate activates the succinate receptor-1 (SUCNR1) and stimulates inflammation. We detected SUCNR1 expression in the human and mouse periodontium and hypothesize that succinate activates SUCNR1 to accelerate periodontitis through the inflammatory response. Administration of exogenous succinate enhanced periodontal disease, whereas SUCNR1 knockout mice were protected from inflammation, oral dysbiosis, and subsequent periodontal bone loss in two different models of periodontitis. Therapeutic studies demonstrated that a novel SUCNR1 antagonist inhibited inflammatory events and osteoclastogenesis in vitro and reduced periodontal bone loss in vivo. Our study reveals a previously unknown action of succinate in promoting periodontitis and provides a novel topical treatment for this disease. Any microbiome data and r code used for downstream analysis in the manuscript were deposited to this repository. <strong>Full Changelog</strong>: https://github.com/Fangxi-Xu/Succinate_Periodontitis/commits/microbiome
DOI: 10.5281/zenodo.6546322
title: On the role of rheological memory for convection-driven plate reorganizations

description: % ==================================================================== %<br> % Data directory for 3D spherical, thermal convection models presented %<br> % in Fuchs and Becker (2022) with a strain-dependent weakening and % <br> % hardening rheology following the formulation of %<br> % Fuchs and Becker (2019). %<br> % %<br> % The directory contains an input_files, MATLAB_Scripts, and each % <br> % model directory with a certain name. %<br> % input_file Contains all the input files for CitcomS % <br> % MATLAB_Scripts Contains all the MATLAB scripts required to %<br> % reproduce the figures in the manuscript %<br> % $ModelName Contains a MATLAB directory for individual %<br> % data from each model, %<br> % a TPR directory for toroidal-poloidal data for %<br> % each degree, and, %<br> % a txt_data for data picked from CitcomS models %<br> % which is then visualized in MATLAB. %<br> % For the models discussed in the paper, surface %<br> % maps plots and surface grd-files are available %<br> % within those directories as well. % <br> % ==================================================================== % MATLAB_Scripts directory: <br> -------------------------<br> To visualize certain data for each model you can run the script <br> Analyze_Citcom_Models in the MALTAB_Scripts directory, e.g., <br> <br> Analyze_Citcom_Models(Name,PlotParam,PlotParam2,S) where, <br> Name is the model name as a string variable,<br> PlotParam a switch to save (1) or not save (0) the figures,<br> PlotParam2 a switch to activate (1) or deactivate (0) plotting, <br> S a switch to define the scaling of the model parameter,<br> no scaling (0), scaling with the diffusion time scale (1), <br> or scaling with the overturn time OT (2). With this script one can visualize all the time-dependent data picked<br> from the CitcomS models. The CitcomS models can be reproduce with the <br> input-files given in the input_files directory. To reproduce the box whisker plots in figures 2, 3, S7, and S8 one <br> needs to run the script CompStat. This scripts reads in the data <br> from all models (from the txt_files directory in the $ModelName <br> directory) and creates a box whisker plot for each model period and <br> plots them again the average lithospheric damage (gamma_L). For more details to each MATLAB script see the help comments within the<br> script. In case of any questions, do not hesitate to contact me via email: lukas.fuchs84 at gmail dot com % ==================================================================== %<br> % =============================== END ================================ %<br> % ==================================================================== %
DOI: 10.5281/zenodo.6546321
title: On the role of rheological memory for convection-driven plate reorganizations

description: % ==================================================================== %<br> % Data directory for 3D spherical, thermal convection models presented %<br> % in Fuchs and Becker (2022) with a strain-dependent weakening and % <br> % hardening rheology following the formulation of %<br> % Fuchs and Becker (2019). %<br> % %<br> % The directory contains an input_files, MATLAB_Scripts, and each % <br> % model directory with a certain name. %<br> % input_file Contains all the input files for CitcomS % <br> % MATLAB_Scripts Contains all the MATLAB scripts required to %<br> % reproduce the figures in the manuscript %<br> % $ModelName Contains a MATLAB directory for individual %<br> % data from each model, %<br> % a TPR directory for toroidal-poloidal data for %<br> % each degree, and, %<br> % a txt_data for data picked from CitcomS models %<br> % which is then visualized in MATLAB. %<br> % For the models discussed in the paper, surface %<br> % maps plots and surface grd-files are available %<br> % within those directories as well. % <br> % ==================================================================== % MATLAB_Scripts directory: <br> -------------------------<br> To visualize certain data for each model you can run the script <br> Analyze_Citcom_Models in the MALTAB_Scripts directory, e.g., <br> <br> Analyze_Citcom_Models(Name,PlotParam,PlotParam2,S) where, <br> Name is the model name as a string variable,<br> PlotParam a switch to save (1) or not save (0) the figures,<br> PlotParam2 a switch to activate (1) or deactivate (0) plotting, <br> S a switch to define the scaling of the model parameter,<br> no scaling (0), scaling with the diffusion time scale (1), <br> or scaling with the overturn time OT (2). With this script one can visualize all the time-dependent data picked<br> from the CitcomS models. The CitcomS models can be reproduce with the <br> input-files given in the input_files directory. To reproduce the box whisker plots in figures 2, 3, S7, and S8 one <br> needs to run the script CompStat. This scripts reads in the data <br> from all models (from the txt_files directory in the $ModelName <br> directory) and creates a box whisker plot for each model period and <br> plots them again the average lithospheric damage (gamma_L). For more details to each MATLAB script see the help comments within the<br> script. In case of any questions, do not hesitate to contact me via email: lukas.fuchs84 at gmail dot com % ==================================================================== %<br> % =============================== END ================================ %<br> % ==================================================================== %
DOI: 10.25574/07029
title: Chandra X-ray Observatory ObsId 7029

description: High-Resolution X-ray Images of Dust Halos
DOI: 10.25574/07030
title: Chandra X-ray Observatory ObsId 7030

description: High-Resolution X-ray Images of Dust Halos
DOI: 10.25574/07032
title: Chandra X-ray Observatory ObsId 7032

description: A High-Resolution Study of Interstellar Absorption
DOI: 10.25574/07175
title: Chandra X-ray Observatory ObsId 7175

description: Chandra HETG Spectroscopy of the VY Sculptoris Star TT Ari
DOI: 10.25574/07176
title: Chandra X-ray Observatory ObsId 7176

description: Chandra HETG Spectroscopy of the VY Sculptoris Star TT Ari
DOI: 10.25574/07186
title: Chandra X-ray Observatory ObsId 7186

description: HETGS Observation of a Transient Hard X-ray Symbiotic Binary
DOI: 10.25574/07189
title: Chandra X-ray Observatory ObsId 7189

description: A Chandra HETGS Survey of O-Stars
DOI: 10.25574/07194
title: Chandra X-ray Observatory ObsId 7194

description: The location and spatial structure of the X-ray emitting plasma in the magnetically confined environment of beta Cep
DOI: 10.25574/07195
title: Chandra X-ray Observatory ObsId 7195

description: The location and spatial structure of the X-ray emitting plasma in the magnetically confined environment of beta Cep
DOI: 10.25574/07219
title: Chandra X-ray Observatory ObsId 7219

description: Precision X-ray timing and imaging of the young and energetic pulsar PSR J1357-6429
DOI: 10.25574/07228
title: Chandra X-ray Observatory ObsId 7228

description: A Chandra HETGS Survey of O-Stars
DOI: 10.25574/07229
title: Chandra X-ray Observatory ObsId 7229

description: A Chandra HETGS Survey of O-Stars
DOI: 10.25574/07249
title: Chandra X-ray Observatory ObsId 7249

description: High Resolution Spectroscopy of RX J0806.3+1527
DOI: 10.6084/m9.figshare.20598924.v1
title: aquila_nipalensis_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20598924
title: aquila_nipalensis_zanfona_1.fasta.gz

description: .......
DOI: 10.5517/ccdc.csd.ccpkq97
title: CCDC 642639: Experimental Crystal Structure Determination

description: Related Article: Kangkai Du, Bizhou Lin|2021|Inorg.Chem.Commun.|127|108556|doi:10.1016/j.inoche.2021.108556
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/ccn6b27
title: CCDC 601898: Experimental Crystal Structure Determination

description: Related Article: Yong-heng Xing, Shi-bo Duan, Bao-Li Zhang, Jing Li, Zhang-peng Li, Shu-yun Niu|2008|Jilin Huag.Xuey.Xuebao|25|16-3|
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/ccn6b38
title: CCDC 601899: Experimental Crystal Structure Determination

description: Related Article: Yong-heng Xing, Shi-bo Duan, Bao-Li Zhang, Jing Li, Zhang-peng Li, Shu-yun Niu|2008|Jilin Huag.Xuey.Xuebao|25|16-3|
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.ccy01wv
title: CCDC 863997: Experimental Crystal Structure Determination

description: Related Article: Faeze Mojtabazade, Babak Mirtamizdoust, Ali Morsali, Pejman Talemi|2020|Inorg.Chim.Acta|508|119636|doi:10.1016/j.ica.2020.119636
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/ccwysvf
title: CCDC 832996: Experimental Crystal Structure Determination

description: Related Article: Yan-yan Yang, Wen-xiu Gao|2011|Jilin Huag.Xuey.Xuebao|28|26-9|
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/ccxtx4r
title: CCDC 859045: Experimental Crystal Structure Determination

description: Related Article: Yinglai Jin, Yonghua Lin, Songchun Jin, Gang Hu, Zhenxiang Li, Xitian Zhang|1989|Yingyong Huaxue|6|67-6|
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.cc1j61tl
title: CCDC 1405999: Experimental Crystal Structure Determination

description: Related Article: Jiao Wang, Zhi-Lei Wu, Li-Rong Yang, Miao-Miao Xue, Zhi-Xuan Fang, Shu-Chang Luo, Wen-Min Wang|2021|Inorg.Chim.Acta|514|120015|doi:10.1016/j.ica.2020.120015
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.cc2bsk5w
title: CCDC 2168548: Experimental Crystal Structure Determination

description: Related Article: Chuang Ma, Haojin Li, Ming Chen, Yucheng Liu, Kui Zhao, Shengzhong (Frank) Liu|2022|Adv.Funct.Mater.|32|2202160|doi:10.1002/adfm.202202160
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.6330200
title: Northwestern Europe Wildfire Perimeter Polygons [2012-2022]

description: This dataset contains KML files for wildfires detected from VIIRS across northwestern Europe from 2012 to 2022. Each file contains the fire progression at each satellite overpass. These files were used to detect the rate of spread for each wildfire event to characterize the fire behavior in temperate northwest Europe, a region with limited fire history.
DOI: 10.5281/zenodo.6330201
title: Northwestern Europe Wildfire Perimeter Polygons [2012-2020]

description: This dataset contains KML files for wildfires detected from VIIRS across northwestern Europe from 2012 to 2020. Each file contains the fire progression at each satellite overpass. These files were used to detect the rate of spread for each wildfire event to characterize the fire behavior in temperate northwest Europe, a region with limited fire history. Each fire is provided as a polygon and vector file.
DOI: 10.6084/m9.figshare.20600031
title: aviceda_subcristata_zanfona_1.fasta.gz

description: .......
DOI: 10.6084/m9.figshare.20600031.v1
title: aviceda_subcristata_zanfona_1.fasta.gz

description: .......
DOI: 10.5281/zenodo.7017845
title: Open access data for "Chip-Based Laser with 1 Hertz Integrated Linewidth"

description: Open access data for "Chip-Based Laser with 1 Hertz Integrated Linewidth," by Guo, McLemore, et al.
DOI: 10.5281/zenodo.7017846
title: Open access data for "Chip-Based Laser with 1 Hertz Integrated Linewidth"

description: Open access data for "Chip-Based Laser with 1 Hertz Integrated Linewidth," by Guo, McLemore, et al.
DOI: 10.17909/ymkm-na23
title: TESS data for BPS CS 22940-0009
DOI: 10.7910/dvn/w6uxaz
title: Replication Data for: Use of statins, blood-pressure lowering drugs, and aspirin for the prevention of cardiovascular disease in 40 low-income and middle-income countries

description: This is replication data for the manuscript on combinations of drug therapy for CVD prevention in LMICs using HPACC data.