cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20231826
title: SARS-CoV-2 variants from COVID-19 positive cases in the Free State province, South Africa from July 2020 to December 2021

description: Since the COVID-19 outbreak emerged, SARS-CoV-2 has continuously evolved into variants with underlying mutations associated with increased transmissibility, potential escape from neutralizing antibodies, and disease severity. Although intensive research is ongoing around the world to understand the mutational patterns of the virus, there are concerns about the potential to alter the dynamics and the resultant public health impact. The SARS-CoV-2 pandemic in South Africa has been characterized by periods of infections with four major epidemic waves. Here, we report on the genomic epidemiology of SARS-CoV-2 variants circulating in the Free State province in each of the four waves during the 2020-2021 genomic surveillance period. For analysis of the circulating variants, a total of 1290 samples from qPCR confirmed SARS-CoV-2 positive individuals were subjected to viral RNA extraction, genomic amplification, and sequencing. Variant assignment of the viral sequences and mutation identification were conducted using PANGOLIN and SARS-CoV-2 genome annotator, respectively. Our analysis revealed that during the initial part of the first wave, B.1, B.1.1, B.1.1.53, B.1.1.448 and B.1.237 circulated in the Free State province, followed by Beta variant, B.1.351 later in the wave. Although most of the initially detected variants disappeared during the second wave, the Beta variant, B.1.351, persisted. Early in the third wave, the Beta variant, B.1.351, predominated but was replaced by the Delta sub-lineage, AY.45. The fourth wave was characterized by unique emergence of the Omicron sub-variant, BA.1. The data further indicates that SARS-CoV-2 in the Free State accumulated amino acid mutations on the spike protein across the four waves of infections. Each wave of infection was driven by a unique combination of SARS-CoV-2 variants. Findings from this study highlight the importance of continued genomic surveillance and monitoring of the circulating SARS-CoV-2 variants to inform public health efforts and ensure adequate control of the ongoing pandemic.
DOI: 10.6084/m9.figshare.20231826.v2
title: SARS-CoV-2 variants from COVID-19 positive cases in the Free State province, South Africa from July 2020 to December 2021

description: Since the COVID-19 outbreak emerged, SARS-CoV-2 has continuously evolved into variants with underlying mutations associated with increased transmissibility, potential escape from neutralizing antibodies, and disease severity. Although intensive research is ongoing around the world to understand the mutational patterns of the virus, there are concerns about the potential to alter the dynamics and the resultant public health impact. The SARS-CoV-2 pandemic in South Africa has been characterized by periods of infections with four major epidemic waves. Here, we report on the genomic epidemiology of SARS-CoV-2 variants circulating in the Free State province in each of the four waves during the 2020-2021 genomic surveillance period. For analysis of the circulating variants, a total of 1290 samples from qPCR confirmed SARS-CoV-2 positive individuals were subjected to viral RNA extraction, genomic amplification, and sequencing. Variant assignment of the viral sequences and mutation identification were conducted using PANGOLIN and SARS-CoV-2 genome annotator, respectively. Our analysis revealed that during the initial part of the first wave, B.1, B.1.1, B.1.1.53, B.1.1.448 and B.1.237 circulated in the Free State province, followed by Beta variant, B.1.351 later in the wave. Although most of the initially detected variants disappeared during the second wave, the Beta variant, B.1.351, persisted. Early in the third wave, the Beta variant, B.1.351, predominated but was replaced by the Delta sub-lineage, AY.45. The fourth wave was characterized by unique emergence of the Omicron sub-variant, BA.1. The data further indicates that SARS-CoV-2 in the Free State accumulated amino acid mutations on the spike protein across the four waves of infections. Each wave of infection was driven by a unique combination of SARS-CoV-2 variants. Findings from this study highlight the importance of continued genomic surveillance and monitoring of the circulating SARS-CoV-2 variants to inform public health efforts and ensure adequate control of the ongoing pandemic.
DOI: 10.6084/m9.figshare.20231826.v1
title: SARS-CoV-2 variants from COVID-19 positive cases in the Free State province, South Africa from July 2020 to December 2021

description: Since the COVID-19 outbreak emerged, SARS-CoV-2 has continuously evolved into variants with underlying mutations associated with increased transmissibility, potential escape from neutralizing antibodies, and disease severity. Although intensive research is ongoing around the world to understand the mutational patterns of the virus, there are concerns about the potential to alter the dynamics and the resultant public health impact. The SARS-CoV-2 pandemic in South Africa has been characterized by periods of infections with four major epidemic waves. Here, we report on the genomic epidemiology of SARS-CoV-2 variants circulating in the Free State province in each of the four waves during the 2020-2021 genomic surveillance period. For analysis of the circulating variants, a total of 1290 samples from qPCR confirmed SARS-CoV-2 positive individuals were subjected to viral RNA extraction, genomic amplification, and sequencing. Variant assignment of the viral sequences and mutation identification were conducted using PANGOLIN and SARS-CoV-2 genome annotator, respectively. Our analysis revealed that during the initial part of the first wave, B.1, B.1.1, B.1.1.53, B.1.1.448 and B.1.237 circulated in the Free State province, followed by Beta variant, B.1.351 later in the wave. Although most of the initially detected variants disappeared during the second wave, the Beta variant, B.1.351, persisted. Early in the third wave, the Beta variant, B.1.351, predominated but was replaced by the Delta sub-lineage, AY.45. The fourth wave was characterized by unique emergence of the Omicron sub-variant, BA.1. The data further indicates that SARS-CoV-2 in the Free State accumulated amino acid mutations on the spike protein across the four waves of infections. Each wave of infection was driven by a unique combination of SARS-CoV-2 variants. Findings from this study highlight the importance of continued genomic surveillance and monitoring of the circulating SARS-CoV-2 variants to inform public health efforts and ensure adequate control of the ongoing pandemic.
DOI: 10.17632/ccsr9hg5ck.1
title: archaeology-analytical

description: The dataset is the data of NMR and SEM data directly taken from instrument's softwares.
DOI: 10.17632/gjy3xrvxv2.1
title: Therapeutic effect of dupilumab to systemic and vascular inflammation in adults with severe atopic dermatitis :Feasibility study using 18F-fluorodeoxyglucose PET/CT

description: Supplemental figure
DOI: 10.35077/wet
title: fMOST_cells_182683

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_182683', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'182683', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'13', Ageunit:'Weeks', Sex:'Male', Genotype:'FEZF2-CreER*lsl-flp', OrganName:'Brain', Locations:'M2' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.15784/601584
title: Vertebrate Fossils from the Aztec Siltstone (Mid-Late Devonian) 2 (2018-2019)

description: List of locations and identified fossils from the Aztec Siltstone (Mid-Late Devonian) in the Transantarctic Mountains (2018-2019 field season).
DOI: 10.17632/cs4284grht.3
title: Metabolomics study of cat small intestine during the early stage of Toxoplasma gondii oocyst formation identifies potential biomarkers -raw datas neg mode

description: Toxoplasma gondii is a zoonotic intracellular protozoan parasite that can invade, replicate and survive in almost all cells of warm-blooded animals. Toxoplasmosis infection threatens the life of the fetus or can cause morbidity in the infant. As the only definitive host of T. gondii, felids spread the pathogen mainly by forming oocysts in the small intestines and discharging the oocysts into the ambient environment, consequently polluting water, vegetables, and meat products. In this study, we used untargeted metabolomics technology to study the changes in metabolites that occurred during the early stage of oocyst formation in the cat small intestine following T. gondii infection and attempted to identify metabolic biomarkers that could potentially be used as diagnostic molecular markers in the future. Domestic cats (Felis catus) were infected with T. gondii Pru tissue cysts, and samples of their small intestinal epithelium were collected at 2 and 4 days post-infection (DPI) for metabolic analysis. LC-MS/MS and multivariate statistical analysis were employed to detect metabolomic signatures that discriminated between the infected and control groups. A total of 1,673 ions and 1,201 ions were obtained in the positive and negative modes, respectively. Of these ions, 175 were up-regulated and 127 were down-regulated in the positive ion mode; whereas, 123 were up-regulated and 81 were down-regulated in the negative ion mode. Three commonly altered ions (0.74_313.0414m/z, 8.82_615.2621m/z and 8.16_325.2362m/z) were determined to have potential research value. Seventy common metabolic pathways were enriched at two time points, with arginine biosynthesis, pyrimidine metabolism, pantothenate and CoA biosynthesis being the three most significant pathways related to T. gondii. The area under the curve (AUC) of differential metabolites combined with relevant literature analysis showed that N-Methylpelletierine and 3,3-Difluoro-17-methyl-5alpha-androstan-17beta-ol have higher predictability and better potential application value than other metabolites. Our analysis of metabolic markers during the early stage of T. gondii oocyst formation in the small intestine of the definitive host (cat) provided novel insight for understanding oocyst development and a theoretical basis for the application of potential biomarkers.
DOI: 10.35077/who
title: fMOST_cells_182931

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_182931', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'182931', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'13', Ageunit:'Weeks', Sex:'Male', Genotype:'PlexinD1-creER', OrganName:'Brain', Locations:'Mop' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.17632/dg2595f68b.1
title: Datasets for hydrothermal plume detection

description: This repository contains following two dataset which were used for training, validation and testing of deep learning models to detect signatures of hydrothermal plumes from acoustic images.

The dataset "20220110_signal_only.zip" is for one-class training of object detection models. Locations of only signals in images were annotated.
The dataset "20220111_with_noise.zip" is for two-class training. Locations of signals and noises (similar color patterns with signals, but different shapes) were annotated.

Both datasets contain 800 images and annotation information for training, 100 images and annotation information for validation, and 280 images and annotation information for test.

Annotation information is formatted in two types. One is "via_region_data.json", which is applicable for utilizing Mask R-CNN model (https://github.com/matterport/Mask_RCNN). The other is "labels" directory which are applicable for utilizing YOLO-v5 models (https://github.com/ultralytics/yolov5).
DOI: 10.35077/wig
title: fMOST_cells_190128

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_190128', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'190128', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'31', Ageunit:'Weeks', Sex:'Male', Genotype:'PlxnD1-2A-creER*LSL-Flpo', OrganName:'Brain', Locations:'Mop' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.17632/8gp6bgv2vd.1
title: EDS Mactra Punta del Este

description: Elemental composition of shells of Mactra guidoi and Mactra isabelleana from the beach of Punta del Este, Uruguay
DOI: 10.35077/win
title: fMOST_cells_190129

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_190129', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'190129', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'19', Ageunit:'Weeks', Sex:'Female', Genotype:'PlxnD1-2A-creER*LSL-Flpo', OrganName:'Brain', Locations:'Mop' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.6084/m9.figshare.19858927.v1
title: All-hazards dataset mined from the US National Incident Management System 1999-2020

description: <strong>Data Description:</strong><br> <br> <br> The ics209-plus-allhazards.zip file contains the complete set of cleaned all hazards situation reports<br> ics209-plus_sitreps_1999to2020.csv<br> <br> <br> The ics209-plus-wildfire.zip file contains all wildfire output files including daily situation reports, the incident summary table, and complex associations.<br> ics209-plus-wf_sitreps_1999to2020.csv<br> ics209-plus-wf_incidents_1999to2020.csv<br> ics209-plus-wf_complex_assocs_1999to2020.csv<br> ics209-plus-wf_complex_assocs_2020.csv<br> **<em>Deleted historical wildfire sitreps (2 files)</em><br> <br> <br> The ics209-plus-source.zip file contains all the yearly raw database tables and associated input files needed to run the cleaning algorithm found here:<br> (https://github/lisestdenis/ics209plus)<br> <br> <br> The ics209-plus-reference.zip file contains detailed table definitions and fill rates for the Incident Summary and Daily Situation Reports Tables as well as Lookup Table definitions.<br> <br>
DOI: 10.17632/rnx93pbsv5.1
title: Precariousness, capability and functionings of special school educators

description: The dataset contains the scores of 200 special education teachers in Namibia for employment precariousness, capabilities, flourishing at work, and intention to leave.
DOI: 10.17632/h483t5kkc4.1
title: Kinect v2 skeleton joints point and 6 angles dataset

description: The collected dataset for eight fixed positions came from 127 volunteers (men and women), whose ages ranged from 20 to 41, with different heights (1.45–1.91 m) and different body sizes.
Each person among the volunteers imitates or performs the eight positions or poses: “hands up”, “right hand up”, “left hand up”, “hands-on head”, “arms open”, “stand up straight”, “hands-on waist" and “hands forward” as shown in picture (1), interspersed with a simple movement that falls under the same position.
For each person, record 240 frames (each frame contains 15 joint camera coordinates in X, Y, and Z, and 6 angles as show in picture (3)). The record total frames are 30480 frames. 72% are used as training data and 28% are used for testing
DOI: 10.35077/wit
title: fMOST_cells_190131

description: This dataset comes from combining genetic labeling with fMOST to achieve a genetically targeted single neuron saturation screen of major classes of cortical projection neurons in the sensorimotor system.
description: Imaging: TDI; Virus: AAV
description: DATASET METADATA: title:'fMOST_cells_190131', GeneralModality:'cell morphology', Technique:'fMOST; neuron morphology reconstruction' SPECIMEN METADATA: LocalID:'190131', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Age:'19', Ageunit:'Weeks', Sex:'Female', Genotype:'PlxnD1-2A-creER*LSL-Flpo', OrganName:'Brain', Locations:'Mop' INSTRUMENT METADATA: MicroscopeType:'fMOST' IMAGE METADATA: yAxis:'inferior-to-superior', zAxis:'anterior-to-posterior', Number:'1, gray', displayColor:'(0.8, 0.8, 0.8)', stepSizeX:'0.35 micron/pixel', stepSizeY:'0.35 micron/pixel', stepSizeZ:'1 micron/pixel'
DOI: 10.5517/ccdc.csd.cc28ymxs
title: CCDC 2113856: Experimental Crystal Structure Determination

description: Related Article: Timothy L. Gialelis, Tze Cin Owyong, Siyang Ding, Wenyi Li, Maoxing Yu, Neil M. O’Brien-Simpson, Zujin Zhao, Jonathan M. White, Bicheng Yao, and Yuning Hong|2022|Cell Reports Physical Science|3|100766|doi:10.1016/j.xcrp.2022.100766
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.cc28ymyt
title: CCDC 2113857: Experimental Crystal Structure Determination

description: Related Article: Timothy L. Gialelis, Tze Cin Owyong, Siyang Ding, Wenyi Li, Maoxing Yu, Neil M. O’Brien-Simpson, Zujin Zhao, Jonathan M. White, Bicheng Yao, and Yuning Hong|2022|Cell Reports Physical Science|3|100766|doi:10.1016/j.xcrp.2022.100766
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.cc28ymzv
title: CCDC 2113858: Experimental Crystal Structure Determination

description: Related Article: Timothy L. Gialelis, Tze Cin Owyong, Siyang Ding, Wenyi Li, Maoxing Yu, Neil M. O’Brien-Simpson, Zujin Zhao, Jonathan M. White, Bicheng Yao, and Yuning Hong|2022|Cell Reports Physical Science|3|100766|doi:10.1016/j.xcrp.2022.100766
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.cc28yn0x
title: CCDC 2113859: Experimental Crystal Structure Determination

description: Related Article: Timothy L. Gialelis, Tze Cin Owyong, Siyang Ding, Wenyi Li, Maoxing Yu, Neil M. O’Brien-Simpson, Zujin Zhao, Jonathan M. White, Bicheng Yao, and Yuning Hong|2022|Cell Reports Physical Science|3|100766|doi:10.1016/j.xcrp.2022.100766
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.cc2bfz4x
title: CCDC 2158379: Experimental Crystal Structure Determination

description: Related Article: Veilumuthu P and J Godwin Christopher|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bg4sr
title: CCDC 2158554: Experimental Crystal Structure Determination

description: Related Article: Masami Sakamoto, Hiroki Ishikawa|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bg4vt
title: CCDC 2158556: Experimental Crystal Structure Determination

description: Related Article: Masami Sakamoto, Hiroki Ishikawa|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bg522
title: CCDC 2158563: Experimental Crystal Structure Determination

description: Related Article: Masami Sakamoto, Kazutaka Sanada|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bg566
title: CCDC 2158567: Experimental Crystal Structure Determination

description: Related Article: Masami Sakamoto, Kazutaka Sanada|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bg577
title: CCDC 2158568: Experimental Crystal Structure Determination

description: Related Article: Masami Sakamoto, Kazutaka Sanada|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.