cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23056541
title: <strong>Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort</strong>

description: The ongoing COVID-19 pandemic caused by SARS-CoV-2 has affected millions of people worldwide and has significant implications for public health. Host transcriptomics profiling provides comprehensive understanding of how the virus interacts with host cells and how the host responds to the virus. COVID-19 disease alters the host transcriptome, affecting cellular pathways and key molecular functions. To contribute to the global effort to understand the virus’s effect on host cell transcriptome, we have generated a dataset from nasopharyngeal swabs of 35 individuals infected with SARS-CoV-2 from the Campania region in Italy during the three outbreaks, with different clinical conditions. This dataset will help to elucidate the complex interactions among genes and can be useful in the development of effective therapeutic pathways. File_1 contains the list of differentially expressed genes obtained comparing patients of I vs III period. File_2 contains the raw counts for each gene in each sample. File_3 contains the List of Canonical Pathways involving differentially expressed genes File_4 contains the R code used for differential expression analysis File_5 contains the List of Canonical Pathways involving differentially expressed genes. For each pathway the following information are provided: Number of genes involved in the function, according IPA(column D), Number of differentially expressed genes involved in that function (column E), Number of genes, belonging to that function, but not overlapping with DE ones (column F)
DOI: 10.6084/m9.figshare.23056541.v2
title: <strong>Host nasopharyngeal transcriptome dataset of a SARS-CoV-2 positive Italian cohort</strong>

description: The ongoing COVID-19 pandemic caused by SARS-CoV-2 has affected millions of people worldwide and has significant implications for public health. Host transcriptomics profiling provides comprehensive understanding of how the virus interacts with host cells and how the host responds to the virus. COVID-19 disease alters the host transcriptome, affecting cellular pathways and key molecular functions. To contribute to the global effort to understand the virus’s effect on host cell transcriptome, we have generated a dataset from nasopharyngeal swabs of 35 individuals infected with SARS-CoV-2 from the Campania region in Italy during the three outbreaks, with different clinical conditions. This dataset will help to elucidate the complex interactions among genes and can be useful in the development of effective therapeutic pathways. Supplementary Tab3 contains the list of differentially expressed genes obtained comparing patients of I vs III period. Supplementary Tab4 contains the raw counts for each gene in each sample. Supplementary Tab5 contains the List of Canonical Pathways involving differentially expressed genes Supplementaty_file_6 contains the R code used for differential expression analysis Supplementary Tab6 contains the List of Canonical Pathways involving differentially expressed genes. For each pathway the following information are provided: Number of genes involved in the function, according IPA(column D), Number of differentially expressed genes involved in that function (column E), Number of genes, belonging to that function, but not overlapping with DE ones (column F)
DOI: 10.25318/13250009-eng
title: Canadian COVID-19 Antibody and Health Survey Cycle 2: Public Use Microdata File of SARS-CoV-2 Genetic Sequences

description: This public use microdata file (PUMF) provides researchers access to data on the distribution of SARS-CoV-2 lineages detected in the Canadian provinces between May and September 2022. Samples were collected as part of the Canadian COVID-19 Antibody and Health Survey (CCAHS), Cycle 2. The PUMF file consists of a subset of participants of the CCAHS who submitted a positive PCR saliva sample over the course of the collection of the survey. The PUMF contains select demographic information including sex at birth, age group, province and the week of collection. The file also contains SARS-CoV-2 whole genome sequences and its associated data.
DOI: 10.25318/13250009-fra
title: Enquête canadienne sur la santé et les anticorps contre la COVID-19 cycle 2 : fichier de microdonnées à grande diffusion des séquences génétiques du SRAS-CoV-2

description: Ce fichier de microdonnées à grande diffusion (FMGD) permet aux chercheurs d'accéder aux données sur la distribution des lignées de SRAS-CoV-2 détectées dans les provinces canadiennes entre mai et septembre 2022. Les échantillons ont été recueillis dans le cadre de l'Enquête canadienne sur la santé et les anticorps contre la COVID-19 (ECSAC), cycle 2. Le fichier FMGD est constitué d'un sous-ensemble de participants à l'ECSAC qui ont soumis un échantillon de salive positif par PCR au cours de la collecte de l'enquête. Le FMGD contient certaines informations démographiques, notamment le sexe à la naissance, le groupe d'âge, la province et la semaine de collecte. Le fichier contient également les séquences du génome entier du SRAS-CoV-2 et ses données associées.
DOI: 10.5281/zenodo.7966736
title: Subgroup zeta functions of free nilpotent groups of class two

description: Results of our project calculating subgroup zeta functions of free nilpotent groups of class two.
DOI: 10.5281/zenodo.7966735
title: Subgroup zeta functions of free nilpotent groups of class two

description: Results of our project calculating subgroup zeta functions of free nilpotent groups of class two.
DOI: 10.6084/m9.figshare.23144681
title: Formal-Data-Result-Update.xlsx

description: Data collection in order to examine the relationships between social presence and satisfaction in online learning. In addition, the present study identified, validated, and examined the items and factors that contribute social presence and satisfaction in online learning. The present study uses cross-sectional survey design where the researcher collects the data one point in time. Quantitative data collection consists of self-report survey data from surveys administered to participants online as earlier mentioned. The participants surveyed respond to specific questions regarding to some dimensions about social presence and satisfaction dimension. For survey research process in this study, there are several phases as a guideline as follows: (1) establishing information base, (2) determining sampling frame, (3) determining the sample size and sample selection procedures, (4) designing the survey instrument, (5) pretesting the survey instrument, (6) implementing the survey, and computerizing the data, and (8) analyzing the data and preparing the final report.
DOI: 10.6084/m9.figshare.23144681.v1
title: Formal-Data-Result-Update.xlsx

description: Data collection in order to examine the relationships between social presence and satisfaction in online learning. In addition, the present study identified, validated, and examined the items and factors that contribute social presence and satisfaction in online learning. The present study uses cross-sectional survey design where the researcher collects the data one point in time. Quantitative data collection consists of self-report survey data from surveys administered to participants online as earlier mentioned. The participants surveyed respond to specific questions regarding to some dimensions about social presence and satisfaction dimension. For survey research process in this study, there are several phases as a guideline as follows: (1) establishing information base, (2) determining sampling frame, (3) determining the sample size and sample selection procedures, (4) designing the survey instrument, (5) pretesting the survey instrument, (6) implementing the survey, and computerizing the data, and (8) analyzing the data and preparing the final report.
DOI: 10.6084/m9.figshare.23123429
title: Supporting Data for manuscript entitled "sAMP-VGG16: A Drude Polarizable Force Field assisted Deep Transfer Learning based Prediction Model for Short Antimicrobial Peptides"

description: During the last three decades, antimicrobial peptides (AMPs) have emerged as a promising therapeutic alternative to antibiotics. The approaches for designing AMPs span from experimental trial-and-error methods to synthetic hybrid peptide libraries. To overcome the exceedingly expensive and time-consuming process of designing effective AMPs, many computational and machine-learning tools for AMP prediction have been recently developed. In general, to encode the peptide sequences, featurization in these rely on approaches based on (a) amino acid composition, (b) physicochemical properties, (c) sequence similarity, and (d) structural properties. In this work, we present an image-based deep neural network model to predict AMPs, where we are using feature encoding based on Drude polarizable force-field atom types, which can capture the peptide properties more efficiently compared to conventional feature vectors. The proposed prediction model identifies AMPs with promising accuracy and efficiency and can be used as a next-generation screening method for predicting new AMPs.
DOI: 10.6084/m9.figshare.23104616
title: summary.Abundance.txt.gz

description: VIRGO taxon count table
DOI: 10.6084/m9.figshare.23104616.v1
title: summary.Abundance.txt.gz

description: VIRGO taxon count table
DOI: 10.5281/zenodo.7966686
title: IRT Datasets

description: New Test Sets of the Paper "<strong>Are All Test Samples Equal? An Item Response<br> Theory-based Study in Computer Vision</strong>". <strong>Test Set 1(As presented in the main paper)</strong> <strong>TOP50K_1PL_IRT:</strong> Sampled the top 50,000 images sorted in descending order of their difficulty scores. <strong>TOP50K_Uniform_Random:</strong> Sampled 50,000 images at random. <strong>Test Set 2(As presented in the supplementary paper)</strong> <strong>Class_wise_1PL_IRT:</strong> Sampled the top 50 most difficult images from each of the 1000 classes, resulting in a test set of 50,000 images. <strong>Class_wise_Uniform_Random</strong>: Sampled 50 images at random from each of the 1000 classes.
DOI: 10.5281/zenodo.7966685
title: IRT Datasets

description: New Test Sets of the Paper "<strong>Are All Test Samples Equal? An Item Response<br> Theory-based Study in Computer Vision</strong>". <strong>Test Set 1(As presented in the main paper)</strong> <strong>TOP50K_1PL_IRT:</strong> Sampled the top 50,000 images sorted in descending order of their difficulty scores. <strong>TOP50K_Uniform_Random:</strong> Sampled 50,000 images at random. <strong>Test Set 2(As presented in the supplementary paper)</strong> <strong>Class_wise_1PL_IRT:</strong> Sampled the top 50 most difficult images from each of the 1000 classes, resulting in a test set of 50,000 images. <strong>Class_wise_Uniform_Random</strong>: Sampled 50 images at random from each of the 1000 classes.
DOI: 10.57745/u58jw3
title: ANR_ArchiFluo_Fig4_101364OE483722_20230426_V0.jpg

description: Figure 4
DOI: 10.57745/qzxx5u
title: ANR_ArchiFluo_DataFig5b_101364OE483722_20230426_V0.tab

description: Data of figure5b
DOI: 10.57745/alqgpm
title: ANR_ArchiFluo_DataFig6a_101364OE483722_20230426_V0.tab

description: Data of figure6a
DOI: 10.57745/vep6qv
title: ANR_ArchiFluo_DataFig4b_101364OE483722_20230426_V0.tab

description: Data of figure4b
DOI: 10.57745/axaumt
title: ANR_ArchiFluo_Fig6_101364OE483722_20230426_V0.jpg

description: Figure 6
DOI: 10.57745/thkghc
title: ANR_ArchiFluo_DataFig5a_101364OE483722_20230426_V0.tab

description: Data of figure5a
DOI: 10.57745/asggmm
title: ANR_ArchiFluo_Fig5_101364OE483722_20230426_V0.jpg

description: Figure 5
DOI: 10.57745/qqrhvh
title: ANR_ArchiFluo_ReadMe_101364OE483722_20230426_V0.txt

description: Read me file
DOI: 10.57745/83bked
title: ANR_ArchiFluo_DataFig4a_101364OE483722_20230426_V0.tab

description: Data of figure4a
DOI: 10.57745/uqyfoq
title: ANR_ArchiFluo_DataFig6b_101364OE483722_20230426_V0.tab

description: Data of figure6b
DOI: 10.6084/m9.figshare.4675837
title: Providing and exporting grant data with Europe PMC

description: Europe PMC provides a Grant Finder tool that allows to search through grants awarded by Europe PMC Funder's group.<br>This presentation focuses on details of providing and exporting grant data for funders. The video details advanced search option, e.g. retrieving information about all manuscripts deposited to Europe PMC Plus specific to one of the funders.
DOI: 10.34943/6a5e1411-c6eb-43e8-93ff-0434a62605f1
title: Barkley Upper Slope Bottom Pressure Recorder Deployed 2021-08-13

description: The RBR Quartz3 BPR zero SN 207223 was deployed on 2021-08-13 at Barkley Upper Slope. Upper Slope is a location within Barkley Canyon, which is located on the upper continental slope. This device is a Bottom Pressure Recorder. Bottom Pressure Recorders (BPR) are instruments that can detect small changes in pressure on the seafloor. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5517/ccdc.csd.cc28xdwh
title: CCDC 2112677: Experimental Crystal Structure Determination

description: Related Article: Manish Rana, Saiema Ahmedi, Aysha Fatima, Shaban Ahmad, Nouman, Nazia Siddiqui, Khalid Raza, Nikhat Manzoor, Saleem Javed, Rahisuddin|2023|J.Mol.Struct.|1287|135701|doi:10.1016/j.molstruc.2023.135701
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.cc2cymlk
title: CCDC 2203219: Experimental Crystal Structure Determination

description: Related Article: Ritu Ladhi, Deepika Rani, Monika Singh|2023|New J.Chem.|47|9714|doi:10.1039/D3NJ00719G
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.cc2d5j8d
title: CCDC 2209843: Experimental Crystal Structure Determination

description: Related Article: Ankit Kumar Gaur, Debapriya Gupta, Anjali Mahadevan, Pravesh Kumar, Himanshu Kumar, Dhanyaj Narayanan Nampoothiry, Navneet Kaur, Sandeep Kumar Thakur, Sanjay Singh, Tomáš Slanina, Sugumar Venkataramani|2023|J.Am.Chem.Soc.|145|10584|doi:10.1021/jacs.2c13733
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.cc2d5j9f
title: CCDC 2209844: Experimental Crystal Structure Determination

description: Related Article: Ankit Kumar Gaur, Debapriya Gupta, Anjali Mahadevan, Pravesh Kumar, Himanshu Kumar, Dhanyaj Narayanan Nampoothiry, Navneet Kaur, Sandeep Kumar Thakur, Sanjay Singh, Tomáš Slanina, Sugumar Venkataramani|2023|J.Am.Chem.Soc.|145|10584|doi:10.1021/jacs.2c13733
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.cc2dnvwt
title: CCDC 2224587: Experimental Crystal Structure Determination

description: Related Article: Honghong Guo, Jianying Lin, Qiang Liu, Xing Li|2023|Org.Biomol.Chem.|21|4269|doi:10.1039/D3OB00283G
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.cc2f6y9x
title: CCDC 2240999: Experimental Crystal Structure Determination

description: Related Article: Bahram Ghanbari, Leila Asadi Mofarrah, Jack K. Clegg|2023|Inorg.Chem.|62|7434|doi:10.1021/acs.inorgchem.3c00693
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.cc2f92tn
title: CCDC 2243061: Experimental Crystal Structure Determination

description: Related Article: Tianrui Zhou, Yunluo Wang, Han Zhang, Zesheng Pan, Xueqing Ma, Yiyang Sun, Haijie Chen, Lianjun Wang, Wan Jiang|2023|Inorg.Chem.|62|7376|doi:10.1021/acs.inorgchem.3c00580
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.cc2ddpgz
title: CCDC 2216731: Experimental Crystal Structure Determination

description: Related Article: Bahram Ghanbari, Leila Asadi Mofarrah, Jack K. Clegg|2023|Inorg.Chem.|62|7434|doi:10.1021/acs.inorgchem.3c00693
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.cc2fk0np
title: CCDC 2250682: Experimental Crystal Structure Determination

description: Related Article: Xuan Li, Xufeng Li, Wenwen Cui, Qilong Wu, Linyuan Wang, Jian Lv, Daoshan Yang|2023|Org.Lett.|25|3260|doi:10.1021/acs.orglett.3c00990
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.cc2fkpc2
title: CCDC 2251324: Experimental Crystal Structure Determination

description: Related Article: Adimulam Harinath, Himadri Karmakar, Devadkar Ajitaro Kisan, Hari Pada Nayek, Tarun K. Panda|2023|Org.Biomol.Chem.|21|4237|doi:10.1039/D3OB00453H
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: 10.5519/qd.7gm0v1n4
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (334076 records)
DOI: 10.25345/c5h98zp8q
title: MassIVE MSV000092026 - Global Proteome Profiling upon Treatment for C3H10T1/2 cells with the selective TAF1 Bromodomain Inhibitor Tafbromin
title: These data shows the influence of the TAF1 bromodomain inhibitor Tafbromin on the proteome of C3H10T1/2 cells.
DOI: 10.7910/dvn/0tjx8y/8ql3yx
title: codebook.txt
DOI: 10.7910/dvn/0tjx8y/kjiajc
title: UNGDC 1970-2016.zip
DOI: 10.7910/dvn/0tjx8y/qdhfsu
title: Raw PDFs 2001-2016.tar.gz
DOI: 10.7910/dvn/0tjx8y/7gg3qg
title: Speakers_by_session.csv
DOI: 10.7910/dvn/0tjx8y/gixfni
title: Raw PDFs 1970-1980.tar.gz
DOI: 10.7910/dvn/0tjx8y/stt7kc
title: Raw PDFs 1991-2000.tar.gz
DOI: 10.7910/dvn/0tjx8y/wfy4ci
title: codebook.txt
DOI: 10.7910/dvn/0tjx8y/xpmc6z
title: Raw PDFs 1981-1990.tar.gz
DOI: 10.7910/dvn/0tjx8y/biwrta
title: UNGDC 1970-2017.zip
DOI: 10.7910/dvn/0tjx8y/c2lez5
title: RAP.nb.html
DOI: 10.7910/dvn/0tjx8y/pzuurt
title: UNGDC 1970-2018.zip

description: UN General Debate Corpus
DOI: 10.7910/dvn/0tjx8y/rh70w5
title: Raw PDFs 2018.tar.gz

description: Source transcript files of General Debate Session 73
DOI: 10.7910/dvn/0tjx8y/wkbcz1
title: README.txt
DOI: 10.7910/dvn/0tjx8y/wytdqg
title: Raw PDFs 1991-2017.tar.gz
DOI: 10.7910/dvn/0tjx8y/er4qvu
title: README.txt

description: :unav