cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/gct7wnmnk7.1
title: Data for: Provenance analysis of Late Triassic turbidites in the East Songpan-Ganzi Flysch Basin: Sedimentary record of tectonic evolution of the eastern Paleo-Tethys Ocean

description: the sedimentary structure, paleocurrent direction, particle sizes, major and trace elements, magmatic zircon and detrital zircon U-Pb ages of the typical sections of the Xikang Group in the East Songpan-Ganzi Flysch
DOI: 10.17632/wp5byz59z5.1
title: Data for: GR / NF-κB signaling pathway regulates hippocampal inflammatory response of diabetic model rats under chronic unpredictable mild stress state

description: The folder contains experimental annimal behavioural assessment original data (Morris water maze test, Open-field test, Forced swimming test), raw data of hippocampus and serum IL-1β, IL-6, IL-8, TNF-α inflammatory factors level, Hippocampal histopatholog figrue , HCA detection results figrues of CX3CR1 protein expression in microglia, RT-PCR analysis CX3CR1 mRNA expression amplification curve and dissolution curve.
DOI: 10.6084/m9.figshare.13588610
title: Global projections of the soil microbiome in the Anthropocene

description: Soil microbes are essential for maintaining life-supporting ecosystem services, but projections of how these microbes will be affected by global change scenarios are lacking. Therefore, we aim to provide projections of future soil microbial distribution using multiple global change scenarios. We used a global database of soil microbial communities across six continents to estimate past and future trends of the soil microbiome. To do so, we used structural equation models to include the direct and indirect effects of climate and land-use change in our predictions, using current climate (temperature and precipitation) and land-use projections between 1950 and 2090. Local bacterial richness will increase in all scenarios of climate and land-use change considered, although this increase will be followed by a generalized community homogenization process affecting more than 85% of terrestrial ecosystems. Changes in the relative abundance of functional genes associated with the increases in bacterial richness are also expected. Based on an ecological cluster analysis our results suggest that phylotypes such as Geodermatophilus sp. (typical desert bacteria), Mycobacterium sp. (which are known to include important human pathogens), Streptomyces mirabilis (major producers of antibiotic resistance genes), or potential fungal soil-borne plant pathogens belonging to Ascomycota fungi (Venturia sp, Devriesia sp), will become more abundant in their communities. Local bacterial richness will increase in all scenarios of climate and land-use change considered, although this increase will be followed by a generalized community homogenization process affecting more than 85% of terrestrial ecosystems. Changes in the relative abundance of functional genes associated with the increases in bacterial richness are also expected. Based on an ecological cluster analysis our results suggest that phylotypes such as Geodermatophilus sp. (typical desert bacteria), Mycobacterium sp. (which are known to include important human pathogens), Streptomyces mirabilis (major producers of antibiotic resistance genes), or potential fungal soil-borne plant pathogens belonging to Ascomycota fungi (Venturia sp, Devriesia sp), will become more abundant in their communities. Our results provide evidence that climate change has a stronger influence on soil microbial communities than land-use change (often including deforestation and agricultural expansion), although most of the climate effects are indirect through other environmental variables (e.g., changes in soil pH). The same was found for microbial functions such as the prevalence of phosphate transport genes. We provide reliable predictions about the changes in the global distribution of microbial communities, showing an increase in alpha diversity and a homogenization of soil microbial communities in the Anthropocene.
DOI: 10.6084/m9.figshare.13589532
title: Dataset S2 from A new somasteroid from the Fezouata Lagerstätte in Morocco and the Early Ordovician origin of Asterozoa

description: Character matrix for phylogenetic analysis in nexus format
DOI: 10.6084/m9.figshare.13589535
title: Dataset S1 from A new somasteroid from the Fezouata Lagerstätte in Morocco and the Early Ordovician origin of Asterozoa

description: Character matrix for phylogenetic analysis .xls format.
DOI: 10.6084/m9.figshare.13589535.v1
title: Dataset S1 from A new somasteroid from the Fezouata Lagerstätte in Morocco and the Early Ordovician origin of Asterozoa

description: Character matrix for phylogenetic analysis .xls format.
DOI: 10.6084/m9.figshare.13589532.v1
title: Dataset S2 from A new somasteroid from the Fezouata Lagerstätte in Morocco and the Early Ordovician origin of Asterozoa

description: Character matrix for phylogenetic analysis in nexus format
DOI: 10.34740/kaggle/dsv/1851050
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.17632/bdvfj9btd8.1
title: Data for: Improved modelling and critical analysis of future electrification pathways: the case of Tanzania

description: Supplementary material accompanying the paper: Improved modelling and critical analysis of future electrification pathways: the case of Tanzania Matteo V. Rocco, Elena Fumagalli, Chiara Vigone, Ambrogio Miserocchi, Emanuela Colombo Department of Energy, Politecnico di Milano Copernicus Institute of Sustainable Development, Utrecht University Corresponding author: Via Lambruschini 4, 21056 Milan, Italy. E-mail: matteovincenzo.rocco@polimi.it
DOI: 10.5281/zenodo.4445165
title: Feeding black soldier fly larva to replace soybean meal in growing pigs – responses in the amine metabolites in blood

description: Insect meals from black soldier fly (<em>Hermetia illucens</em>; BSF) larvae as dietary protein source have the ability to deliver nutrients, particularly dietary amino acids (AA) and could provide functional properties that positively supports animal health and productivity. More knowledge, however, is needed to assess the impact of BSF based diet on gut and animal health. Sixteen male pigs with an average initial body weight of 34.9 ± 3.4 kg were randomly assigned to groups fed for three weeks with iso-caloric and iso-proteinaceous experimental diets prepared with either soybean meal (SBM) as reference protein source or with BSF, as single source of dietary protein. At the end of the feeding trial, blood plasma were collected to study the changes at systemic level in plasma amine metabolites as an effect of the experimental diet.
description: Grant: Enabling Technologies Hotels, ZonMw, The Netherlands Grant number: 435002020
DOI: 10.5281/zenodo.4445164
title: Feeding black soldier fly larva to replace soybean meal in growing pigs – responses in the amine metabolites in blood

description: Insect meals from black soldier fly (<em>Hermetia illucens</em>; BSF) larvae as dietary protein source have the ability to deliver nutrients, particularly dietary amino acids (AA) and could provide functional properties that positively supports animal health and productivity. More knowledge, however, is needed to assess the impact of BSF based diet on gut and animal health. Sixteen male pigs with an average initial body weight of 34.9 ± 3.4 kg were randomly assigned to groups fed for three weeks with iso-caloric and iso-proteinaceous experimental diets prepared with either soybean meal (SBM) as reference protein source or with BSF, as single source of dietary protein. At the end of the feeding trial, blood plasma were collected to study the changes at systemic level in plasma amine metabolites as an effect of the experimental diet.
description: Grant: Enabling Technologies Hotels, ZonMw, The Netherlands Grant number: 435002020
DOI: 10.6084/m9.figshare.13589588.v1
title: FGB Sponge ASV Table

description: 16S-V4 amplicon sequence analysis (Illumina Mi-Seq and processed with QIIME2). Table of Amplicon Sequence Variants (ASVs) in each sample. ASVs assigned via DADA2.
DOI: 10.6084/m9.figshare.13589588
title: FGB Sponge ASV Table

description: 16S-V4 amplicon sequence analysis (Illumina Mi-Seq and processed with QIIME2). Table of Amplicon Sequence Variants (ASVs) in each sample. ASVs assigned via DADA2.
DOI: 10.17632/zys8crgths.1
title: Data for: Impacts of Improved Biomass Cookstoves on Child and Adult Health: Experimental Evidence from Rural Ethiopia

description: This .zip file contains instructions, data, and analysis files to reproduce the results in "Impacts of Improved Biomass Cookstoves on Child and Adult Health: Experimental Evidence from Rural Ethiopia," by Daniel LaFave, Abebe Beyene, Randall Bluffstone, Sahan Dissanayake, Zenebe Gebreegziabher, Alemu Mekonnen, and Michael Toman.
DOI: 10.6084/m9.figshare.13589591
title: FGB Sponge ASV Taxonomy

description: SILVA v138 16S database assigned taxonomy to ASVs
DOI: 10.6084/m9.figshare.13589591.v1
title: FGB Sponge ASV Taxonomy

description: SILVA v138 16S database assigned taxonomy to ASVs
DOI: 10.5281/zenodo.4445180
title: Metadata: Microsatellite genotypes for Seriatopora hystrix and Acropora millepora in Indonesia

description: Microsatellite genotypes for <em>Seriatopora hystrix</em> and <em>Acropora millepora</em> in Indonesia as used in the paper "Differences in genetic diversity and divergence between brooding and broadcast spawning corals across two spatial scales in the Coral Triangle region."
DOI: 10.5281/zenodo.4445179
title: Metadata: Microsatellite genotypes for Seriatopora hystrix and Acropora millepora in Indonesia

description: Microsatellite genotypes for <em>Seriatopora hystrix</em> and <em>Acropora millepora</em> in Indonesia as used in the paper "Differences in genetic diversity and divergence between brooding and broadcast spawning corals across two spatial scales in the Coral Triangle region."
DOI: 10.5281/zenodo.4445196
title: Dataset for: Experimental river noise alters arthropod abundances

description: For two summers, we continuously broadcast whitewater river noise and spectrally-altered river noise (shifted upwards in frequency, but maintaining the same temporal profile) to experimentally tease apart the effects of two characteristics of noise - sound levels and background frequency – on arthropod abundances. We used five types of trapping methods, placed across 20 sites within the Pioneer Mountains of Idaho to collect and identify 151,992 individual specimens to Order. We built Bayesian generalized linear mixed-effects models with noise characteristics and other habitat variables such as riparian vegetation, elevation, temperature, and moonlight. The code in this dataset allows one to reproduce the analyses, tables, and plots from the manuscript.
DOI: 10.6084/m9.figshare.13589603
title: FGB Sponge Metadata

description: Metadata for FGB Sponge 16S-V4 amplicon sequence analysis. The raw sequence data files are available in the NCBI Sequence Read Archive under accession numbers: SRP248232 for sponge samples, PRJNA509639 for Aug. 2016 seawater samples and PRJNA691373 for Oct. 2017 and Oct. 2018 seawater samples.
DOI: 10.6084/m9.figshare.13589603.v1
title: FGB Sponge Metadata

description: Metadata for FGB Sponge 16S-V4 amplicon sequence analysis. The raw sequence data files are available in the NCBI Sequence Read Archive under accession numbers: SRP248232 for sponge samples, PRJNA509639 for Aug. 2016 seawater samples and PRJNA691373 for Oct. 2017 and Oct. 2018 seawater samples.
DOI: 10.34740/kaggle/dsv/1851232
title: Vietnam SARS-CoV-2 | COVID-19 Data
DOI: 10.6084/m9.figshare.13589594.v1
title: UDAMP

description: Comprehensive human antimicrobial and immunomodulatory database
DOI: 10.5281/zenodo.4445199
title: SDG EDUCATION DATASET

description: Dataset created in order to analyse the existence of documents around the Sustainable Development Goals in the scientific literature in Education produced since 2015
description: Web of Science Core Collection "sustainable development goals" OR SDG OR "sustainable development objectives" OR "2030 agenda" PUBLICATION YEARS: 2020 or 2019 or 2018 or 2017 or 2016 or 2015
DOI: 10.5281/zenodo.4445198
title: SDG EDUCATION DATASET

description: Dataset created in order to analyse the existence of documents around the Sustainable Development Goals in the scientific literature in Education produced since 2015
description: Web of Science Core Collection "sustainable development goals" OR SDG OR "sustainable development objectives" OR "2030 agenda" PUBLICATION YEARS: 2020 or 2019 or 2018 or 2017 or 2016 or 2015
DOI: 10.6084/m9.figshare.13589621
title: Sketch Stochastic Dictionary Learning Ecoli_DIA dataset

description: This folder contains the validation dataset used in the folowing paper, submitted at Statistical Analysis and Data Mining journal:Olga Permiakova, Thomas Burger. Sketched Stochastic Dictionary Learning for large-scale data and application to large-scale mass spectrometry data. January 2021. The dataset consists of proteomic data resulting from a liquid chromatography and mass spectrometry analysis of Escherichia Coli (E. coli) sample. The experimental details of the proteomics analysis can be found in [1].For the experiments reported in the Statistical Analysis and Data Mining submission, only a subset of the data has been used. More precisely, those acquired from 10 to 30 minutes (out of two hours). These data have been preprocessed and formatted as a matrix, as described in the supplemental material of [1]. The matrix columns represent the chromatographic profiles acquired along the sample elution. The index of the matrix rows correspond to the discrete elution time stamps. The resulting data matrix contains 256 rows and 74,193 columns. The data matrix is stored as an object of the Filebacked Big Matrix (FBM) class of bigstatsr R package (https://github.com/privefl/bigstatsr). The associated binary files are Ecoli_DIA.bk of 151.9 Mb and Ecoli_DIA.rds of 33.8 KB. To access the dataset in R, both files must be in the same folder. [1] Olga Permiakova, Romain Guibert, Alexandra Kraut, Thomas Fortin, Anne-Marie Hesse, Thomas Burger. CHICKN: Extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis. Accepted for a publication in BMC Bioinformatics, January 2021.<br><br>
DOI: 10.6084/m9.figshare.13589621.v1
title: Sketch Stochastic Dictionary Learning Ecoli_DIA dataset

description: This folder contains the validation dataset used in the folowing paper, submitted at Statistical Analysis and Data Mining journal:Olga Permiakova, Thomas Burger. Sketched Stochastic Dictionary Learning for large-scale data and application to large-scale mass spectrometry data. January 2021. The dataset consists of proteomic data resulting from a liquid chromatography and mass spectrometry analysis of Escherichia Coli (E. coli) sample. The experimental details of the proteomics analysis can be found in [1].For the experiments reported in the Statistical Analysis and Data Mining submission, only a subset of the data has been used. More precisely, those acquired from 10 to 30 minutes (out of two hours). These data have been preprocessed and formatted as a matrix, as described in the supplemental material of [1]. The matrix columns represent the chromatographic profiles acquired along the sample elution. The index of the matrix rows correspond to the discrete elution time stamps. The resulting data matrix contains 256 rows and 74,193 columns. The data matrix is stored as an object of the Filebacked Big Matrix (FBM) class of bigstatsr R package (https://github.com/privefl/bigstatsr). The associated binary files are Ecoli_DIA.bk of 151.9 Mb and Ecoli_DIA.rds of 33.8 KB. To access the dataset in R, both files must be in the same folder. [1] Olga Permiakova, Romain Guibert, Alexandra Kraut, Thomas Fortin, Anne-Marie Hesse, Thomas Burger. CHICKN: Extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis. Accepted for a publication in BMC Bioinformatics, January 2021.<br><br>
DOI: 10.6084/m9.figshare.13589594
title: UDAMP

description: Comprehensive human antimicrobial and immunomodulatory database
DOI: 10.6084/m9.figshare.13589594.v3
title: UDAMP

description: Comprehensive human antimicrobial and immunomodulatory database
DOI: 10.6084/m9.figshare.13589594.v2
title: UDAMP

description: Comprehensive human antimicrobial and immunomodulatory database
DOI: 10.5517/ccdc.csd.cc24796x
title: CCDC 1973218: Experimental Crystal Structure Determination

description: Related Article: Amol Prakash Pawar, Jyothi Yadav, Nisar Ahmad Mir, Eldhose Iype, Krishnan Rangan, Sumati Anthal, Rajni Kant, Indresh Kumar|2021|Chem.Commun.|57|251|doi:10.1039/D0CC06357F
DOI: 10.5517/ccdc.csd.cc24797y
title: CCDC 1973219: Experimental Crystal Structure Determination

description: Related Article: Amol Prakash Pawar, Jyothi Yadav, Nisar Ahmad Mir, Eldhose Iype, Krishnan Rangan, Sumati Anthal, Rajni Kant, Indresh Kumar|2021|Chem.Commun.|57|251|doi:10.1039/D0CC06357F
DOI: 10.5517/ccdc.csd.cc24lpyd
title: CCDC 1984184: Experimental Crystal Structure Determination

description: Related Article: Peng Zhou, Meijia Zheng, Xiao-Nian Li, Mengsha Wei, Mi Zhang, Qin Li, Yi Zang, Weiguang Sun, Jianping Wang, Hucheng Zhu, Chunmei Chen, Yonghui Zhang|2021|Phytochemistry|182|112613|doi:10.1016/j.phytochem.2020.112613
DOI: 10.5517/ccdc.csd.cc24lq1j
title: CCDC 1984187: Experimental Crystal Structure Determination

description: Related Article: Peng Zhou, Meijia Zheng, Xiao-Nian Li, Mengsha Wei, Mi Zhang, Qin Li, Yi Zang, Weiguang Sun, Jianping Wang, Hucheng Zhu, Chunmei Chen, Yonghui Zhang|2021|Phytochemistry|182|112613|doi:10.1016/j.phytochem.2020.112613
DOI: 10.5517/ccdc.csd.cc24lq4m
title: CCDC 1984190: Experimental Crystal Structure Determination

description: Related Article: Peng Zhou, Meijia Zheng, Xiao-Nian Li, Mengsha Wei, Mi Zhang, Qin Li, Yi Zang, Weiguang Sun, Jianping Wang, Hucheng Zhu, Chunmei Chen, Yonghui Zhang|2021|Phytochemistry|182|112613|doi:10.1016/j.phytochem.2020.112613
DOI: 10.5517/ccdc.csd.cc24qnvd
title: CCDC 1987994: Experimental Crystal Structure Determination

description: Related Article: Danilo H. Jara, Mariano Fernández, Andrés Vega, Nancy Pizarro|2021|Inorg.Chim.Acta|516|120166|doi:10.1016/j.ica.2020.120166
DOI: 10.5517/ccdc.csd.cc24qnwf
title: CCDC 1987995: Experimental Crystal Structure Determination

description: Related Article: Danilo H. Jara, Mariano Fernández, Andrés Vega, Nancy Pizarro|2021|Inorg.Chim.Acta|516|120166|doi:10.1016/j.ica.2020.120166
DOI: 10.5517/ccdc.csd.cc24qnxg
title: CCDC 1987996: Experimental Crystal Structure Determination

description: Related Article: Danilo H. Jara, Mariano Fernández, Andrés Vega, Nancy Pizarro|2021|Inorg.Chim.Acta|516|120166|doi:10.1016/j.ica.2020.120166
DOI: 10.5517/ccdc.csd.cc251tkm
title: CCDC 1997750: Experimental Crystal Structure Determination

description: Related Article: Ivan Němec, Irena Matulková, Wolfgang Krumbe, Lionel Andersen, Ivana Císařová, Jan Kroupa, Petr Němec, Ladislav Bohatý, Petra Becker|2021|Opt.Mater.|111|110722|doi:10.1016/j.optmat.2020.110722
DOI: 10.5517/ccdc.csd.cc21h6f6
title: CCDC 1891447: Experimental Crystal Structure Determination

description: Related Article: Chong-An Chen, Rui Pan, Tian-Jiao Zhang, Xu-Yan Li, Guo-Yu Yang|2020|Inorg.Chem.|59|18366|doi:10.1021/acs.inorgchem.0c02984
DOI: 10.5517/ccdc.csd.cc21h6d5
title: CCDC 1891446: Experimental Crystal Structure Determination

description: Related Article: Chong-An Chen, Rui Pan, Tian-Jiao Zhang, Xu-Yan Li, Guo-Yu Yang|2020|Inorg.Chem.|59|18366|doi:10.1021/acs.inorgchem.0c02984
DOI: 10.5281/zenodo.4445202
title: Softcite Dataset: A dataset of software mentions in research publications

description: The Softcite dataset is a gold-standard dataset of software mentions in research publications, a free resource primarily for software entity recognition in scholarly text. This is the first release of this dataset. <strong>What's in the dataset</strong> With the aim of facilitating software entity recognition efforts at scale and eventually increased visibility of research software for the due credit of software contributions to scholarly research, a team of trained annotators from Howison Lab at the University of Texas at Austin annotated 4,093 software mentions in 4,971 open access research publications in biomedicine (from PubMed Central Open Access collection) and economics (from Unpaywall open access services). The annotated software mentions, along with their <em>publisher</em>, <em>version</em>, and access <em>URL</em>, if mentioned in the text, as well as those publications annotated as containing no software mentions, are all included in the released dataset as a TEI/XML corpus file. For understanding the schema of the Softcite corpus, its design considerations, and provenance, please refer to our paper included in this release (preprint version). <strong>Use scenarios</strong> The release of the Softcite dataset is intended to encourage researchers and stakeholders to make research software more visible in science, especially to academic databases and systems of information retrieval; and facilitate interoperability and collaboration among similar and relevant efforts in software entity recognition and building utilities for software information retrieval. This dataset can also be useful for researchers investigating software use in academic research. <strong>Current release content</strong> <em>softcite-dataset v1.0</em><strong> </strong>release includes<strong>:</strong> The Softcite dataset corpus file: softcite_corpus-full.tei.xml <em>Softcite Dataset: A Dataset of Software Mentions in Biomedical and Economic Research Publications</em>, our paper that describes the design consideration and creation process of the dataset: Softcite_Dataset_Description_RC.pdf. (This is a preprint version of our forthcoming publication in the Journal of the Association for Information Science and Technology.) The Softcite dataset is licensed under a Creative Commons Attribution 4.0 International License. If you have questions, please start a discussion or issue in the howisonlab/softcite-dataset Github repository.
description: We thank Alfred P. Sloan Foundation for supporting this work. We also appreciate our collaborators and student annotators for making this dataset gold-standard and available.
description: {"references": ["Du, C., Cohoon, J., Lopez, P., & Howison, J. (forthcoming). Softcite Dataset: A Dataset of Software Mentions in Biomedical and Economic Research Publications. Journal of the Association for Information Science and Technology. DOI: 10.1002/asi.24454"]}