cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14258306.v1
title: Norfish Danish Limfjord Herring Fishery 1518-1835

description: The Limfjord herring fishery is anomalous due to the unique nature of the changing topography that has forged uniquely inland sea waters in the Jutland Peninsula. Until a breach at Agger Tange in 1825, affording access to the North Sea, the only access was to the east via the Kattegat. The breach enabled salt water to penetrate the Limfjord which had previously been brackish. It may be argued that despite the obvious, radical changes to the salinity, hydrography and nutrient levels that the breach caused, herring fishing was impacted prior to this event by a combination of fishing methods and the destruction of spawning grounds.
DOI: 10.6084/m9.figshare.14481186
title: Dataset: Interactions illicit drugs-antiretroviral therapy in people living with HIV in Spain

description: This study analyzes the prevalence and severity of drug-drug interactions (DDIs) between antiretroviral therapy (ART) and recreational drugs among people living with HIV(PLHIV). It also explores their awareness of potential DDIs and their beliefs about the toxicity that they may cause, as well as the impact of DDIs on selected health variables. We conducted an on-line cross-sectional survey was conducted across 33 Spanish hospitals with the aim to collect data on demographics; health status; drug use; ART; awareness of DDIs and beliefs and behaviors about the toxicity resulting from such DDIs; treatment adherence; health-related quality of life; and visits to different health centers. DDIs were checked against the Interaction Checker developed by the Liverpool University.It is on Excel format. The file contains three sheets:Sheet . It contains the dataset. The first row of the table corresponds to variable names.Sheet . It contains a description of each variable. Sheet . It contains the labels of the values in the dataset, for each categorical codified variable. Variables not listed in this sheet are numeric, meaning that the numbers on those variables are the real values of the variables, and not a code.
DOI: 10.6084/m9.figshare.14481186.v1
title: Dataset: Interactions illicit drugs-antiretroviral therapy in people living with HIV in Spain

description: This study analyzes the prevalence and severity of drug-drug interactions (DDIs) between antiretroviral therapy (ART) and recreational drugs among people living with HIV(PLHIV). It also explores their awareness of potential DDIs and their beliefs about the toxicity that they may cause, as well as the impact of DDIs on selected health variables. We conducted an on-line cross-sectional survey was conducted across 33 Spanish hospitals with the aim to collect data on demographics; health status; drug use; ART; awareness of DDIs and beliefs and behaviors about the toxicity resulting from such DDIs; treatment adherence; health-related quality of life; and visits to different health centers. DDIs were checked against the Interaction Checker developed by the Liverpool University.It is on Excel format. The file contains three sheets:Sheet . It contains the dataset. The first row of the table corresponds to variable names.Sheet . It contains a description of each variable. Sheet . It contains the labels of the values in the dataset, for each categorical codified variable. Variables not listed in this sheet are numeric, meaning that the numbers on those variables are the real values of the variables, and not a code.
DOI: 10.6084/m9.figshare.14258282.v1
title: Norfish Danish Kattegat Herring Fishery 1520-1899.pdf

description: The Kattegat is historically important as the entry to the Baltic from the North Sea and the wider Atlantic. For centuries, whoever held control of this region determined the rights and abilities of shipping to pass safely. Taxes were levied on passing vessels and local fisheries were recognised separately as a result. The local herring fishery was typically subject to the “oar tax” which extracted a value in herrings per vessel as payment for safe landing and harbouring in the Kattegat.
DOI: 10.6084/m9.figshare.13614452.v6
title: Extractions of North Atlantic cod and herring, 1520-1790

description: We estimate total landings of two major commercial fish species, North Atlantic cod and Northeast Atlantic herring, c 1520-1790. The fisheries evolved through two phases of Accelerated Marine Extraction in the sixteenth and eighteenth centuries. Total landings more than doubled between 1520 and 1620 from about 220,000 metric tonnes to 460,000 MT. A decline of landings in the second half of the 17th century was likely linked to widespread warfare and climate deterioration. Rapid and sustained growth began again around 1725, and total supplies to the European market peaked in 1788 at more than 1 million MT before the unrest connected with the French Revolution ground many fisheries to a temporary halt. Extractions vastly exceeded previous assessments. The findings shift baseline assumptions about past human impact on marine animals, especially cod.<br><br>
DOI: 10.6084/m9.figshare.14481165
title: Fayumcetus phylogeny matrix.nex

description: Nexus input file for Total Evidence Fossilized Birth-Death Bayesian analysis with tip-and-node dating in MrBayes
DOI: 10.6084/m9.figshare.14481165.v1
title: Fayumcetus phylogeny matrix.nex

description: Nexus input file for Total Evidence Fossilized Birth-Death Bayesian analysis with tip-and-node dating in MrBayes
DOI: 10.6084/m9.figshare.13614452.v7
title: Extractions of North Atlantic cod and herring, 1520-1790

description: We estimate total landings of two major commercial fish species, North Atlantic cod and Northeast Atlantic herring, c 1520-1790. The fisheries evolved through two phases of Accelerated Marine Extraction in the sixteenth and eighteenth centuries. Total landings more than doubled between 1520 and 1620 from about 220,000 metric tonnes to 460,000 MT. A decline of landings in the second half of the 17th century was likely linked to widespread warfare and climate deterioration. Rapid and sustained growth began again around 1725, and total supplies to the European market peaked in 1788 at more than 1 million MT before the unrest connected with the French Revolution ground many fisheries to a temporary halt. Extractions vastly exceeded previous assessments. The findings shift baseline assumptions about past human impact on marine animals, especially cod.<br><br>
DOI: 10.3886/e109162v1-84840
title: Societal Unrest and Terrorist Assassinations in Africa: A Research Brief

description: This exploratory research brief examines social unrest in Africa in the aftermath of terrorist assassinations. Assassination is a tactic of violence in modern terrorist campaigns and assassinations are interwoven across the African continent with social conflict events such as demonstrations and riots. Utilizing survival analysis, this article finds variation in the likelihood of social unrest across five African subregions and tests for the type of event most likely to occur after a terrorist assassination. Analyses of data on thirty-seven African states drawn from the Global Terrorism Database and Social Conflict in Africa Database from 1990-2015 suggest that demonstrations may be more likely than riots in the aftermath of a terrorist assassination in Africa and that these events are more likely to be spontaneous, rather than organized, in nature. <br><br><br><br><br>
DOI: 10.6084/m9.figshare.14444603
title: Data_Thermal_Screening_Mutukula_Lab.dta

description: This is data set from a retrospective cross-sectional study based on a review of body temperature and Xpert Xpress SARS CoV-2 test results records for truck drivers entering Uganda through Mutukula between 15<sup>th</sup> May and 30<sup>th</sup> July 2020. It has information for body temperature, age, gender, and Xpert Xpress SARS diagnostic results.
DOI: 10.6084/m9.figshare.14444603.v1
title: Data_Thermal_Screening_Mutukula_Lab.dta

description: This is data set from a retrospective cross-sectional study based on a review of body temperature and Xpert Xpress SARS CoV-2 test results records for truck drivers entering Uganda through Mutukula between 15<sup>th</sup> May and 30<sup>th</sup> July 2020. It has information for body temperature, age, gender, and Xpert Xpress SARS diagnostic results.
DOI: 10.6084/m9.figshare.14481372.v1
title: nc5_2hrs.fastq.gz

description: negative control 5<br>
DOI: 10.6084/m9.figshare.14481372
title: nc5_2hrs.fastq.gz

description: negative control 5<br>
DOI: 10.6084/m9.figshare.14481333
title: kp1.fastq.gz

description: Klebsiella pneumoniae isolate 1
DOI: 10.6084/m9.figshare.14481333.v1
title: kp1.fastq.gz

description: Klebsiella pneumoniae isolate 1
DOI: 10.6084/m9.figshare.14481339.v1
title: kp2.fastq.gz

description: K. pneumoniae isolate 2<br>
DOI: 10.6084/m9.figshare.14481339
title: kp2.fastq.gz

description: K. pneumoniae isolate 2<br>
DOI: 10.5517/ccdc.csd.cc25vksd
title: CCDC 2021534: Experimental Crystal Structure Determination

description: Related Article: Xiangqiang Li, Hongkun Zeng, Lili Lin, Xiaoming Feng|2021|Org.Lett.|23|2954|doi:10.1021/acs.orglett.1c00631
DOI: 10.5281/zenodo.3689711
title: Training material for the SIGU course "Data analysis and interpretation for clinical genomics" (part 1/4)

description: In years 2018-2019, we organized on behalf of the Italian Society of Human Genetics (SIGU) an itinerant Galaxy-based “hands-on-computer” training activity entitled “Data analysis and interpretation for clinical genomics”. This one-day course was offered to participants including clinical doctors, biologists, laboratory technicians and bioinformaticians. Topics covered by the course were NGS data quality check, detection of variants, copy number alterations and runs of homozygosity, annotation and filtering and clinical interpretation of sequencing results. To meet the constant need for training on basic NGS analysis and interpretation of sequencing data in the clinical setting, we designed an on-line Galaxy-based training resource dedicated to this topic, articulated in presentations and practical assignments by which students will learn how to approach NGS data processing at the level of FASTQ, BAM and VCF files and clinically-oriented examination of variants emerging from sequencing experiments such as whole exomes. This repository contains datasets required for the online training "Data analysis and interpretation for clinical genomics" available at https://sigu-training.github.io/clinical_genomics/. Tools used in the training are available at the European Galaxy instance running at https://usegalaxy.eu, which also includes a copy of this repository in the <em>Shared Data Libraries. </em>Files named <strong>Fam_*.bam</strong> are based on <strong>hg38</strong> reference genome; all the other files refer to <strong>hg19</strong>. This is part of a 4 dataset submission.
DOI: 10.5281/zenodo.3531577
title: Training material for the SIGU course "Data analysis and interpretation for clinical genomics" (part 1/4)

description: In years 2018-2019, we organized on behalf of the Italian Society of Human Genetics (SIGU) an itinerant Galaxy-based “hands-on-computer” training activity entitled “Data analysis and interpretation for clinical genomics”. This one-day course was offered to participants including clinical doctors, biologists, laboratory technicians and bioinformaticians. Topics covered by the course were NGS data quality check, detection of variants, copy number alterations and runs of homozygosity, annotation and filtering and clinical interpretation of sequencing results. To meet the constant need for training on basic NGS analysis and interpretation of sequencing data in the clinical setting, we designed an on-line Galaxy-based training resource dedicated to this topic, articulated in presentations and practical assignments by which students will learn how to approach NGS data processing at the level of FASTQ, BAM and VCF files and clinically-oriented examination of variants emerging from sequencing experiments such as whole exomes. This repository contains datasets required for the online training "Data analysis and interpretation for clinical genomics" available at https://sigu-training.github.io/clinical_genomics/. Tools used in the training are available at the European Galaxy instance running at https://usegalaxy.eu, which also includes a copy of this repository in the <em>Shared Data Libraries. </em>Files named <strong>Fam_*.bam</strong> are based on <strong>hg38</strong> reference genome; all the other files refer to <strong>hg19</strong>. This is part of a 4 dataset submission.
DOI: 10.5281/zenodo.4197066
title: Training material for the SIGU course "Data analysis and interpretation for clinical genomics" (part 2/4)

description: This repository contains datasets required for the online training "Data analysis and interpretation for clinical genomics" available at https://sigu-training.github.io/clinical_genomics/. Tools used in the training are available at the European Galaxy instance running at https://usegalaxy.eu, which also includes a copy of this repository in the <em>Shared Data Libraries. </em>BAM files in this dataset are based on the <strong>hg38</strong> reference genome. This is part of a 4 dataset submission. Refer to this dataset for details.
DOI: 10.5281/zenodo.4197065
title: Training material for the SIGU course "Data analysis and interpretation for clinical genomics" (part 2/4)

description: This repository contains datasets required for the online training "Data analysis and interpretation for clinical genomics" available at https://sigu-training.github.io/clinical_genomics/. Tools used in the training are available at the European Galaxy instance running at https://usegalaxy.eu, which also includes a copy of this repository in the <em>Shared Data Libraries. </em>BAM files in this dataset are based on the <strong>hg38</strong> reference genome. This is part of a 4 dataset submission. Refer to this dataset for details.
DOI: 10.6084/m9.figshare.14481357
title: Paired-end generated fastq file to test demultiplexing

description: This data set is composed of two generated fastq files with a barcode files to test for demultiplexing.<br>
DOI: 10.5281/zenodo.4264088
title: Training material for the SIGU course "Data analysis and interpretation for clinical genomics" (part 3/4)

description: This repository contains datasets required for the online training "Data analysis and interpretation for clinical genomics" available at https://sigu-training.github.io/clinical_genomics/. Tools used in the training are available at the European Galaxy instance running at https://usegalaxy.eu, which also includes a copy of this repository in the <em>Shared Data Libraries. </em>BAM files in this dataset are based on the <strong>hg38</strong> reference genome. This is part of a 4 dataset submission. Refer to this dataset for details.
DOI: 10.5281/zenodo.4264087
title: Training material for the SIGU course "Data analysis and interpretation for clinical genomics" (part 3/4)

description: This repository contains datasets required for the online training "Data analysis and interpretation for clinical genomics" available at https://sigu-training.github.io/clinical_genomics/. Tools used in the training are available at the European Galaxy instance running at https://usegalaxy.eu, which also includes a copy of this repository in the <em>Shared Data Libraries. </em>BAM files in this dataset are based on the <strong>hg38</strong> reference genome. This is part of a 4 dataset submission. Refer to this dataset for details.
DOI: 10.5281/zenodo.4270091
title: Training material for the SIGU course "Data analysis and interpretation for clinical genomics" (part 4/4)

description: This repository contains datasets required for the online training "Data analysis and interpretation for clinical genomics" available at https://sigu-training.github.io/clinical_genomics/. Tools used in the training are available at the European Galaxy instance running at https://usegalaxy.eu, which also includes a copy of this repository in the <em>Shared Data Libraries. </em>BAM files in this dataset are based on the <strong>hg38</strong> reference genome. This is part of a 4 dataset submission. Refer to this dataset for details.
DOI: 10.5281/zenodo.4270090
title: Training material for the SIGU course "Data analysis and interpretation for clinical genomics" (part 4/4)

description: This repository contains datasets required for the online training "Data analysis and interpretation for clinical genomics" available at https://sigu-training.github.io/clinical_genomics/. Tools used in the training are available at the European Galaxy instance running at https://usegalaxy.eu, which also includes a copy of this repository in the <em>Shared Data Libraries. </em>BAM files in this dataset are based on the <strong>hg38</strong> reference genome. This is part of a 4 dataset submission. Refer to this dataset for details.
DOI: 10.5517/ccdc.csd.cc26r112
title: CCDC 2047923: Experimental Crystal Structure Determination

description: Related Article: Changming Xu, Yinsheng Qi, Xinshuang Yang, Xiangfan Li, Zhenpeng Li, Lei Bai|2021|Org.Lett.|23|2890|doi:10.1021/acs.orglett.1c00535
DOI: 10.5517/ccdc.csd.cc26r134
title: CCDC 2047925: Experimental Crystal Structure Determination

description: Related Article: Changming Xu, Yinsheng Qi, Xinshuang Yang, Xiangfan Li, Zhenpeng Li, Lei Bai|2021|Org.Lett.|23|2890|doi:10.1021/acs.orglett.1c00535
DOI: 10.5517/ccdc.csd.cc26xl5x
title: CCDC 2053259: Experimental Crystal Structure Determination

description: Related Article: Emily P. Bacher, Kevin J. Koh, Antonio J. Lepore, Allen G. Oliver, Olaf Wiest, Brandon L. Ashfeld|2021|Org.Lett.|23|2853|doi:10.1021/acs.orglett.1c00248
DOI: 10.5517/ccdc.csd.cc26xl6y
title: CCDC 2053260: Experimental Crystal Structure Determination

description: Related Article: Emily P. Bacher, Kevin J. Koh, Antonio J. Lepore, Allen G. Oliver, Olaf Wiest, Brandon L. Ashfeld|2021|Org.Lett.|23|2853|doi:10.1021/acs.orglett.1c00248
DOI: 10.5517/ccdc.csd.cc274zgv
title: CCDC 2060367: Experimental Crystal Structure Determination

description: Related Article: Xiangqiang Li, Hongkun Zeng, Lili Lin, Xiaoming Feng|2021|Org.Lett.|23|2954|doi:10.1021/acs.orglett.1c00631
DOI: 10.5517/ccdc.csd.cc277b94
title: CCDC 2062625: Experimental Crystal Structure Determination

description: Related Article: Biao Zhang, Donghan Liu, Yulin Sun, Yajing Zhang, Jiayi Feng, Fuchao Yu|2021|Org.Lett.|23|3076|doi:10.1021/acs.orglett.1c00751
DOI: 10.6084/m9.figshare.3761562.v1851
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.4718760
title: A Systematic Mapping Study on the Use of Software Engineering Practices to Develop MVPs

description: Spreadsheet used to compile the mapping study
DOI: 10.3886/e132681v1-84860
title: MEDIA FRAMING OF COLOR-BLIND RACISM: A CONTENT ANALYSIS OF THE CHARLOTTESVILLE RALLY

description: This study investigates how major media outlets, particularly CNN and Fox News, presented the “Unite the Right Rally” in Charlottesville Virginia. A computer-assisted content analysis was conducted on 1-week online news articles about the rally from the two networks.
DOI: 10.5519/qd.qxd3fp1f
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (35576 records)
DOI: 10.5281/zenodo.4718830
title: A Systematic Mapping Study on the Use of Software Engineering Practices to Develop MVPs

description: Spreadsheet used to compile the mapping study
DOI: 10.17632/nzrdbn8g2d.1
title: Data for: Crop specific algorithms trained over ground measurements provide the best performance for GAI and fAPAR estimates from Landsat-8 observations

description: This dataset encompasses a large number (&gt; 700) of in-situ observations over elemantary sampling units (about 20m2) of LAI (effective and actual), fAPAR and fraction of vegetation cover (fCover) collected over a network of agricultural sites during the ImagineS project (http://fp7-imagines.eu/) in the period 2013-2016. The ground dataset was collected with digital hemispherical photography (DHP), LAI2200, and AccuPAR devices following well stablished protocols in agreement with CEOS LPV good practices. The ground data is complemented with concomitant Landsat-8/OLI observations, the sun zenith angle at the acquisition and the NDVI. This results in a unique database to calibrate and validate algorithms for retrieval of biophysical variables over crops.
DOI: 10.17632/v3vxxctngp.1
title: Data for: Effects of phonological neighbourhood density and frequency in picture naming.

description: This data includes raw data for the Australian picture naming data, the British picture naming data, and the DRC-SEM simulations data. The additional Excel file includes column names in full for each of these datasets, if relevant.
DOI: 10.5281/zenodo.4718838
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.6084/m9.figshare.14481696
title: Gene database of Mus musculus

description: The laboratory mouse (<i>Mus musculus</i>) is a commonly used model organism for human diseases. This work provides some foundational information about the genetic repertoire of <i>M. musculus</i> by parsing its annotated genome sequence via an in-house MATLAB genome analysis software. Comprising gene name, gene function, and gene sequence of all genes in the genome of the model organism, this database should find use in a variety of workflows for understanding genetic underpinnings of particular phenotypes in mouse.
DOI: 10.5281/zenodo.4718849
title: A Systematic Mapping Study on the Use of Software Engineering Practices to Develop MVPs

description: Spreadsheet used to compile the mapping study
DOI: 10.5281/zenodo.4718839
title: mlpack.org datasets

description: These datasets are those used by mlpack.org and the mlpack organization for examples, pre-existing models, and tutorials. https://github.com/mlpack/mlpack/ https://github.com/mlpack/mlpack.org/ https://github.com/mlpack/examples/ https://github.com/mlpack/models/
description: added notebook example datasets under notebooks/
DOI: 10.5281/zenodo.4718022
title: TAMUoic2019 Database

description: This is a database of the single-scattering properties of oriented ice crystals (OIC). The two major oriented particles, horizontally oriented plates (HOP) and columns (HOC), are considered in the database. This database is a scaler version. Please contact with Masa Saito (masa.saito@tamu.edu) to request the extension kernels for the vector version of the TAMUoic2019 database.
description: The instruction and description of the TAMUoic2019 database is available at https://sites.google.com/site/masanorisaitophd/data-and-resources/tamuoic2019.
description: {"references": ["Saito, M., and P. Yang (2019), Oriented ice crystals: A single-scattering property database for applications to lidar and optical phenomenon simulations, J. Atmos. Sci., 76, 2635\u20132652."]}
DOI: 10.5281/zenodo.4718021
title: TAMUoic2019 Database

description: This is a database of the single-scattering properties of oriented ice crystals (OIC). The two major oriented particles, horizontally oriented plates (HOP) and columns (HOC), are considered in the database. This database is a scaler version. Please contact with Masa Saito (masa.saito@tamu.edu) to request the extension kernels for the vector version of the TAMUoic2019 database.
description: The instruction and description of the TAMUoic2019 database is available at https://sites.google.com/site/masanorisaitophd/data-and-resources/tamuoic2019.
description: {"references": ["Saito, M., and P. Yang (2019), Oriented ice crystals: A single-scattering property database for applications to lidar and optical phenomenon simulations, J. Atmos. Sci., 76, 2635\u20132652."]}