cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13016/hohs-ldyr
title: Example code listings for the PhotoDissociation Region Toolbox

description: We use a Github open-source public repository (https://github.com/mpound/pdrtpy) that includes the Python package code, text documentation files, and the FITS files of the models. Code is checked against the PEP8 coding style and regression and integration tests are run and at code check-in using Github Actions. For more info, see Pound & Wolfire (2022) and the github repo.
description: These are example code listings for the PhotoDissociation Region Toolbox (https://dustem.astro.umd.edu), and companion to the manuscript "The PhotoDissociation Region Toolbox: Software and Models for Astrophysical Analysis", by Pound & Wolfire (2022). These code snippets show typical ways to use the Toolbox and reproduce most of the figures in the manuscript. The code is written in Python 3 and demonstrate the pdrtpy Python package (https://pdrtpy.readthedocs.io).
DOI: 10.6084/m9.figshare.20161148
title: fpkm.xls

description: <strong>Fig S24 and Fig S26. The transcriptome analysis of the muscle tissue of mice at 4 and 8 weeks. </strong>
DOI: 10.6084/m9.figshare.20161148.v2
title: fpkm.xls

description: <strong>Fig S24 and Fig S26. The transcriptome analysis of the muscle tissue of mice at 4 and 8 weeks. </strong>
DOI: 10.6084/m9.figshare.20161148.v1
title: fpkm.xls

description: Transcriptomic analysis of muscle tissues from different mice and n=2 mice in each group. The log2FPKM of major genes (log2FPKM&gt;0) was plotted and compared between <em>mdx</em> and AAV-stRNAGln-<em>mdx</em> mice at 4- and 8-week administration.
DOI: 10.5281/zenodo.7035528
title: Processed KnockTF2 experiments of human cells

description: Processed perturbation experiments of human cells from KnockTF2 to easily benchmark methods and networks using decoupleR. The file Human Differential Expression of Genes was processed to extract a matrix of logFCs were experiments are rows and genes are columns. Their associated meta-data was downloaded from the Browse tab. Identifiers were unified to match both matrix and meta-data. I do not claim ownership of these data. If used, please cite their original source: Chenchen Feng, Chao Song, Yuejuan Liu, Fengcui Qian, Yu Gao, Ziyu Ning, Qiuyu Wang, Yong Jiang, Yanyu Li, Meng Li, Jiaxin Chen, Jian Zhang, Chunquan Li, KnockTF: a comprehensive human gene expression profile database with knockdown/knockout of transcription factors, <em>Nucleic Acids Research</em>, Volume 48, Issue D1, 08 January 2020, Pages D93–D100, https://doi.org/10.1093/nar/gkz881
DOI: 10.5281/zenodo.7035527
title: Processed KnockTF2 experiments of human cells

description: Processed perturbation experiments of human cells from KnockTF2 to easily benchmark methods and networks using decoupleR. The file Human Differential Expression of Genes was processed to extract a matrix of logFCs were experiments are rows and genes are columns. Their associated meta-data was downloaded from the Browse tab. Identifiers were unified to match both matrix and meta-data. I do not claim ownership of these data. If used, please cite their original source: Chenchen Feng, Chao Song, Yuejuan Liu, Fengcui Qian, Yu Gao, Ziyu Ning, Qiuyu Wang, Yong Jiang, Yanyu Li, Meng Li, Jiaxin Chen, Jian Zhang, Chunquan Li, KnockTF: a comprehensive human gene expression profile database with knockdown/knockout of transcription factors, <em>Nucleic Acids Research</em>, Volume 48, Issue D1, 08 January 2020, Pages D93–D100, https://doi.org/10.1093/nar/gkz881
DOI: 10.6084/m9.figshare.20748211
title: Export diversification and growth data

description: The dataset was utilised to examine the impact of export diversification on economic growth in Sub-Saharan Africa. A total of 43 countries over a period of 19 years were taken into account. The research hypothesis for this study is: Export concentration constrains economic growth in Sub-Saharan Africa. The data for macroeconomic variables considered in the study were drawn from the World Development Indicators' database. Then data for measuring the extent of export diversification were drawn from the International Monetary Funds' Herfindahl-Hirschman Index database. Lastly, data to measure the quality of governance were drawn from the Worldwide Governance Indicators' database. The study measured the log of GDP per capita growth as the dependent variable- and export diversification and, governance index (index of the six components of governance), foreign direct investment, domestic investment as the main explanatory variables - whereas trade policy, trade openness were included as control variables. Furthermore, the study tested for a u-shaped pattern between export diversification and economic growth in the region and thus an additional variable was included InExDsq to achieve this objective. The results suggest that export diversification is still low in Sub-Saharan Africa and consequently impact negatively on economic growth in the region. This is evidenced by the negative coefficient of export diversification.
DOI: 10.6084/m9.figshare.20764573.v1
title: Engineered Suppressor tRNA Mitigates Nonsense-mutated Duchenne Muscular Dystrophy in Mice

description: <strong>Extended Data </strong>Figure S22. The transcriptomic analysis of stRNA treatment in cell line.
DOI: 10.5519/qd.w7erbnsx
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (393 records)
DOI: 10.6084/m9.figshare.20764573.v2
title: Engineered Suppressor tRNA Mitigates Nonsense-mutated Duchenne Muscular Dystrophy in Mice

description: <strong>Extended Data </strong>Figure S22. The transcriptomic analysis of stRNA treatment in cell line. <strong>Extended Data</strong> Figure S24 and S26<strong>. </strong>The transcriptome analysis of the muscle tissue of mice at 4 and 8 weeks.<strong> </strong>
DOI: 10.6084/m9.figshare.20764288
title: IBL Pandemics - Questionnaire Raw Data.xlsx

description: Raw data for research on "<strong>Inquiry into pandemics throughout history: Understanding healthcare students’ learning experience" </strong>
DOI: 10.6084/m9.figshare.20764288.v1
title: IBL Pandemics - Questionnaire Raw Data.xlsx

description: Raw data for research on "<strong>Inquiry into pandemics throughout history: Understanding healthcare students’ learning experience" </strong>
DOI: 10.5281/zenodo.7040145
title: Taxonomic classification based on k-mers

description: DNA sequencing provides the possibility to obtain complete genomic DNA from environmental samples without the need for laboratory microbiological cultures. To this end, metagenomics, the direct DNA sequencing from microbial communities, has changed radically the field of microbiology, by unearthing a broad space of the planet’s microbial diversity, much of which remains unknown. Metagenomic approaches have become standard methods for identifying the biodiversity and the gene or metabolomic functionalities of bacterial and archaeal communities, with many applications not only in microbial ecology but also in public health as in clinical diagnostics and detection of pathogens. Yet, the decrease in the cost of high throughput sequencing and the great amount of microbial data produced every day, highlight one of the main biological questions: the taxonomic classification of metagenomic short reads. Which organisms are contained in a sample? Are there any features that can be used to identify them? To this end, many algorithms have been developed that achieve high speed, by counting k-mers, short sequence substrings of fixed-length k. In this way for the provided input sequences, a list of features can be computed that describes each one of them. Subsequently, the question now reforms to how can the produced k-mers be used for the taxonomic classification of the input sequences. Sample processing, sequencing, and core amplicon data analysis were performed by the Earth Microbiome Project (www.earthmicrobiome.org), and all amplicon sequence data and metadata have been made public through the EMP data portal (qiita.microbio.me/emp): Thompson, L. R., Sanders, J. G., McDonald, D., Amir, A., …, Jansson, J. K., Gilbert, J. A., Knight, R., & The Earth Microbiome Project Consortium. (2017). A communal catalogue reveals Earth’s multiscale microbial diversity. Nature, 551:457-463. doi:10.1038/nature24621.
DOI: 10.5281/zenodo.7040144
title: Taxonomic classification based on k-mers

description: DNA sequencing provides the possibility to obtain complete genomic DNA from environmental samples without the need for laboratory microbiological cultures. To this end, metagenomics, the direct DNA sequencing from microbial communities, has changed radically the field of microbiology, by unearthing a broad space of the planet’s microbial diversity, much of which remains unknown. Metagenomic approaches have become standard methods for identifying the biodiversity and the gene or metabolomic functionalities of bacterial and archaeal communities, with many applications not only in microbial ecology but also in public health as in clinical diagnostics and detection of pathogens. Yet, the decrease in the cost of high throughput sequencing and the great amount of microbial data produced every day, highlight one of the main biological questions: the taxonomic classification of metagenomic short reads. Which organisms are contained in a sample? Are there any features that can be used to identify them? To this end, many algorithms have been developed that achieve high speed, by counting k-mers, short sequence substrings of fixed-length k. In this way for the provided input sequences, a list of features can be computed that describes each one of them. Subsequently, the question now reforms to how can the produced k-mers be used for the taxonomic classification of the input sequences. Sample processing, sequencing, and core amplicon data analysis were performed by the Earth Microbiome Project (www.earthmicrobiome.org), and all amplicon sequence data and metadata have been made public through the EMP data portal (qiita.microbio.me/emp): Thompson, L. R., Sanders, J. G., McDonald, D., Amir, A., …, Jansson, J. K., Gilbert, J. A., Knight, R., & The Earth Microbiome Project Consortium. (2017). A communal catalogue reveals Earth’s multiscale microbial diversity. Nature, 551:457-463. doi:10.1038/nature24621.
DOI: 10.34740/kaggle/dsv/4146734
title: Health Workforce Shortage Areas
DOI: 10.34740/kaggle/dsv/4146745
title: AutoXGB
DOI: 10.5519/qd.mu5gfs5a
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11879 records)
DOI: 10.25402/cer.20764741
title: Promoting community stakeholder engagement in research on treatment for pregnant women with opioid use disorder - Supplementary materials

description: Provider Stakeholder Survey: In Preparation for Proposal Submission
DOI: 10.25402/cer.20764741.v1
title: Promoting community stakeholder engagement in research on treatment for pregnant women with opioid use disorder - Supplementary materials

description: Provider Stakeholder Survey: In Preparation for Proposal Submission
DOI: 10.6084/m9.figshare.20764747
title: A protocol to perform mid-throughput phenotyping of plant resistance to the pollen beetle

description: Improving crop resistance to insect herbivores is a major research objective in breeding programs. Although genomic technologies have increased the speed at which large populations can be genotyped, breeding programs still suffer from phenotyping constraints. The pollen beetle is a major pest of oilseed rape for which no resistant cultivar is available to date, but previous studies have highlighted the potential of the white mustard as a source of resistance and introgression of this resistance appears as a promising strategy. Here we present a phenotyping protocol allowing mid-throughput acquisition of resistance data, which could then be used for genetic mapping of QTLs.Contrasted white mustard genotypes were selected from an initial field screening and then evaluated for their resistance under controlled conditions using a standard phenotyping method on entire plants. We then upgraded this protocol for mid-throughput phenotyping, by testing two alternative methods. We found that phenotyping on detached buds did not provide the same resistance contrasts as observed with the standard protocol, in contrast to the phenotyping protocol with miniaturized plants. This protocol was then tested on a large panel composed of hundreds of plants. A significant variation in resistance among accessions was observed, which validates the large-scale application of this new phenotyping protocol. The combination of this mid-throughput phenotyping protocol and of the white mustard as a source of resistance against the pollen beetle offers a promising avenue for breeding programs aiming at improving oilseed rape resistance.
DOI: 10.5517/ccdc.csd.cc26fm09
title: CCDC 2038870: Experimental Crystal Structure Determination

description: Related Article: Arthi Ravi, Amina Shijad, Kana M. Sureshan|2021|Chemical Science|12|11652|doi:10.1039/D1SC03727G
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: 10.6084/m9.figshare.20764816
title: August 2022 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>August, 2022</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.20764816.v1
title: August 2022 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>August, 2022</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.20764777
title: LifeForm Trait Database

description: This dataset contains 1 data file that describes the life cycle (annual or perennial) and biomass composition (woody or herbaceous) of a given species. <br> Information on data acquisition, cleaning, and preparation is available in the supplement of "Revising the global biogeography of plant life cycles".
DOI: 10.6084/m9.figshare.20764627
title: Life Cycle Proportion Data

description: There are 5 data files included in this dataset. Each has the relative proportion of annuals and perennial species among all species, and the relative proportion of annual and perennial species among herbaceous species in WWF-defined ecoregions. Each ecoregion also has 19 BioClim variables as well as several other measures such as latitude, longitude, human footprint, and interannual precipitation variation. <br> The 5 data files are: All species for which we have data Only species in the Asteraceae family Only species in the Brassicaceae family Only species in the Fabaceae family Only species in the Poaceae family <br> Information on data acquisition, cleaning, and preparation is available in the supplement of "Revising the global biogeography of plant life cycles".
DOI: 10.6084/m9.figshare.20764845
title: Figures (Data Included)-Editable from Bi-stable lateral buckled beam: quasi-static snap-through behaviour analysis

description: supplementary materials
DOI: 10.6084/m9.figshare.20764845.v1
title: Figures (Data Included)-Editable from Bi-stable lateral buckled beam: quasi-static snap-through behaviour analysis

description: supplementary materials
DOI: 10.15129/c589d644-e614-4c0c-80b6-5af7fe786492
title: Data for: "On-chip frequency tuning of fast resonant MEMS scanner"

description: This dataset contains the underlying data for the above mentioned manuscript. The raw data, measured by a vibrometer and microscope, is present in the .zip files. Processed data is saved in .csv files, with a description of the processed files and the data extraction for plotting presented in the jupyter notebook file.
DOI: 10.5519/qd.w92i7gms
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5266808 records)
DOI: 10.5519/qd.fpb0dsf9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (73 records)
DOI: 10.5258/soton/d2113
title: Dataset to support the publication 'Single-frame 3D lensless imaging of pollen grains via deep learning'

description: This dataset supports the article Single-frame 3D lensless imaging of pollen grains via deep learning' to be published in Optics Express
DOI: 10.3886/icpsr03210
title: Eurobarometer 54LAN: Special Survey on Languages, December 2000
title: Archival Version

description: This round of Eurobarometer surveys, which diverged from the standard Eurobarometer topics, queried respondents on foreign languages. Respondents were asked what languages they spoke and on what level, how they learned or improved in those languages, and how often and for what reasons they used foreign languages. The survey also collected information on motivations for learning other languages, reasons discouraging the learning of other languages, methods of learning foreign languages and their effectiveness, and the availability of language courses in respondents' living areas. Those polled were also asked whether knowing foreign languages was useful, what languages were the most useful to know, where they would look for information about opportunities to learn languages, and whether they preferred to watch foreign movies/programs with subtitles rather than with dubbing. Additional questions sought respondents' opinions on the necessity to speak European Union (EU) languages, reasons why children should learn other European languages at school, and the influence of the EU enlargement on communication among the EU member countries. Standard demographic information collected includes age, gender, occupation, age at completion of education, and size of locality.
description: Please review the "Weighting Information" section of the ICPSR codebook for this Eurobarometer study.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes..
description: Datasets: 
 
 DS1: Dataset
description: Eurobarometer Survey Series
description: face-to-face interview 
The original data collection was carried out by the European Opinion Research Group - EEIG on request of the European Commission.
The codebook and setup files for this collection contains characters with diacritical marks used in many European languages.
The documentation and/or setup files may contain references to Norway, but Norway was not a participant in this wave of Eurobarometer surveys. This collection contains no data for Norway.
"Technical Specifications" for this collection were not provided by the data producer. Please refer to the "Processing Notes" section of the ICPSR codebook for the number of interviews and fieldwork dates for each country surveyed.
No data are made available for P7_FRA (NUTS II/REGION I) for France.
description: Citizens of the EU aged 15 and over residing in the 15 EU member countries: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, the Netherlands, Portugal, Spain, Sweden, and the United Kingdom. Smallest Geographic Unit: country
description: Multistage national probability samples.
DOI: 10.3886/icpsr05021.v2
title: Dimensions of Conflict Behavior Within and Between Nations, 1955-1960
title: Version 2

description: These data focus on the dimensions of domestic and foreign conflict behavior of nations in the period 1955-1960. The product of two separate studies conducted by Rudolph J. Rummel and Raymond Tanter utilizing identical variables for the time periods 1955-1957 and 1958-1960, respectively, this dataset gauges domestic conflict behavior with measures such as number of assassinations, general strikes, major government crises, purges, riots, anti-government demonstrations, revolutions, domestic violence deaths, and the presence or absence of guerilla warfare. Other variables such as the number of anti-foreign demonstrations, negative sanctions, protests, countries with which diplomatic relations were severed, expulsion or recall of ambassadors, threats, mobilizations, accusations, troop movements, deaths in foreign violence, presence or absence of military action, and war measure foreign conflict behavior.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks..
description: Datasets: 
 
 DS1: Dataset
description: Nations with populations at least 800,000 in the first year of the study that were independent at least two years before the first year of the study.
DOI: 10.5281/zenodo.3354053
title: ENERGISE Living Lab country report - Finland

description: ENERGISE Living Labs (ELLs) employ practice-based approaches to reduce energy use in households while co-creating knowledge on why energy-intensive practices are performed and how they depend on the context in which they are performed. Altogether 16 living labs were implemented in eight European countries in 2018. The Finnish ELLs were implemented in two different sites. ELL1 for individual households took place in a Porvoo region, about 50 kilometres from Helsinki and engaged 19 households living mainly in single-family homes. ELL2 (with collective elements) was implemented in Merihaka, urban district close to Helsinki city centre, and 18 households living in apartment buildings in Merihaka joined the ELL challenges and community activities.
DOI: 10.18739/a2d08x
title: Automated ice mass balance site (SIZONET)