cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15131/shef.data.12340994
title: Which Politicians Receive Abuse?

description: The spreadsheets contain aggregate statistics for abusive language found in tweets to UK politicians in 2019. An overview spreadsheet is provided for each of the months of January to November ("per-mp-xxx-2019.csv" where xxx is the abbreviation for the month), with one row per MP, and a spreadsheet with data per day is provided for the campaign period of the UK 2019 general election, with one row per candidate, starting at the beginning of November and finishing on December 15th, a few days after the election ("campaign-period-per-cand-per-day.csv"). These spreadsheets list, for each individual, gender, party, the start and end times of the counts, tweets authored, retweets *by* the individual, replies by the individual, the number of times the individual was retweeted, replies received by the individual ("replyTo"), abusive tweets received in total and abusive tweets received in each of the categories sexist, racist and political.<br>Two additional spreadsheets focus on topics; "topics-of-cands.csv" and "topics-of-replies.csv". In the first, counts of tweets mentioning each of a set of topics are given, alongside counts of abusive tweets mentioning each topic, in tweets *by* each candidate. In the second, the counts are of replies received when a candidate mentions a topic, alongside abusive replies received when they mentioned that topic.<br>The data complement the forthcoming paper "Which Politicians Receive Abuse? Four Factors Illuminated in the UK General Election 2019", by Genevieve Gorrell, Mehmet E Bakir, Ian Roberts, Mark A Greenwood and Kalina Bontcheva. The way the data were acquired is described more fully in the paper.<br>Ethics approval was granted to collect the data through application 25371 at the University of Sheffield.
DOI: 10.15131/shef.data.12340994.v1
title: Which Politicians Receive Abuse?

description: The spreadsheets contain aggregate statistics for abusive language found in tweets to UK politicians in 2019. An overview spreadsheet is provided for each of the months of January to November ("per-mp-xxx-2019.csv" where xxx is the abbreviation for the month), with one row per MP, and a spreadsheet with data per day is provided for the campaign period of the UK 2019 general election, with one row per candidate, starting at the beginning of November and finishing on December 15th, a few days after the election ("campaign-period-per-cand-per-day.csv"). These spreadsheets list, for each individual, gender, party, the start and end times of the counts, tweets authored, retweets *by* the individual, replies by the individual, the number of times the individual was retweeted, replies received by the individual ("replyTo"), abusive tweets received in total and abusive tweets received in each of the categories sexist, racist and political.<br>Two additional spreadsheets focus on topics; "topics-of-cands.csv" and "topics-of-replies.csv". In the first, counts of tweets mentioning each of a set of topics are given, alongside counts of abusive tweets mentioning each topic, in tweets *by* each candidate. In the second, the counts are of replies received when a candidate mentions a topic, alongside abusive replies received when they mentioned that topic.<br>The data complement the forthcoming paper "Which Politicians Receive Abuse? Four Factors Illuminated in the UK General Election 2019", by Genevieve Gorrell, Mehmet E Bakir, Ian Roberts, Mark A Greenwood and Kalina Bontcheva. The way the data were acquired is described more fully in the paper.<br>Ethics approval was granted to collect the data through application 25371 at the University of Sheffield.
DOI: 10.15131/shef.data.11662902
title: The dietary impact of the Norman Conquest project data

description: This database contains the full dataset generated during the Dietary Impact of the Norman Conquest Project and published in the paper 'The Dietary Impact of the Norman Conquest: A Multiproxy Archaeological Investigation of Oxford, UK'. <br>The data was obtained from analysis of archaeological materials from Oxford dating to 10th-13th centuries AD. The database is divided into five datasets based on method and material: residue analysis of pottery; bulk sample N and C isotope analysis of animal bone; bulk sample N and C isotope analysis of animal bone human bone; osteological analysis of human remains and incremental N and C isotope analysis of human tooth dentine. <br>Some data included in this file was not obtained by original research during this project. Where data has been synthesised from other sources, references to the original publication of the data are provided. References to relevant archaeological site reports are provided in the publication.<br>
DOI: 10.15131/shef.data.12383624
title: Evolving MRSA: High-level β-lactam resistance in Staphylococcus aureus is associated with RNA Polymerase alterations and fine tuning of gene expression

description: This is the collection of data supporting all the findings in our manuscript, details of which will be available on publication. This includes raw data used to analyse and visualise the outcomes. Raw data associated with each figure are provided in Excel files with corresponding README text on the first tab.
DOI: 10.15131/shef.data.12383624.v1
title: Evolving MRSA: High-level β-lactam resistance in Staphylococcus aureus is associated with RNA Polymerase alterations and fine tuning of gene expression

description: This is the collection of data supporting all the findings in our manuscript, details of which will be available on publication. This includes raw data used to analyse and visualise the outcomes. Raw data associated with each figure are provided in Excel files with corresponding README text on the first tab.
DOI: 10.15131/shef.data.12523217
title: Data for Highly nonlinear trion-polaritons in a monolayer semiconductor

description: Experimental data supporting figures shown in the main text and supplementary materials of the paper "Highly nonlinear trion-polaritons in a monolayer semiconductor".
DOI: 10.15131/shef.data.12593681
title: CHARMM-DYES: Fluorescent dye parameters for use with the CHARMM forcefield

description: The residues and parameters that make up the CHARMM-DYES force field, in machine readable GROMACS format. These files are used in molecular dynamics simulations that include the dyes typically used in Förster resonance energy transfer (FRET) experiments.
DOI: 10.15131/shef.data.12593681.v1
title: CHARMM-DYES: Fluorescent dye parameters for use with the CHARMM forcefield

description: The residues and parameters that make up the CHARMM-DYES force field, in machine readable GROMACS format. These files are used in molecular dynamics simulations that include the dyes typically used in Förster resonance energy transfer (FRET) experiments.
DOI: 10.6084/m9.figshare.13634819
title: treatment_R1.bigWig

description: HCT116
DOI: 10.6084/m9.figshare.13634819.v1
title: treatment_R1.bigWig

description: HCT116
DOI: 10.25646/7910
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.4457118
title: Gridded world country codes on longitude-latitude grid

description: This netCDF file provides ISO country codes at 0.1 degrees spatial resolution. Oceans and undefined territories are identified with a fictional ISO code. The situation reported may not include more recent (post-2000) historical changes. Based on an elaboration of the `countries` software tool, available on github (see countries fork). The work is provided 'as is', without guarantees or conditions of any kind.
DOI: 10.5281/zenodo.4457117
title: Gridded world country codes on longitude-latitude grid

description: This netCDF file provides ISO country codes at 0.1 degrees spatial resolution. Oceans and undefined territories are identified with a fictional ISO code. The situation reported may not include more recent (post-2000) historical changes. Based on an elaboration of the `countries` software tool, available on github (see countries fork). The work is provided 'as is', without guarantees or conditions of any kind.
DOI: 10.25919/zfjb-r974
title: Parkes observations for project P1071 semester 2020OCTS_01

description: Intermittent pulsars are a major topic of current pulsar research as they provide a direct link between studies of pulsar emission and irregularities in the rotation of the pulsars. The new Ultra-Wide-Low(UWL) receiver provides unprecedented frequency coverage and will allow us to study the emission properties of the intermittent pulsars in great detail. We request observations with the UWL receiver to intermittent pulsars. These are pulsars whose emission switches on and off at long intervals from days to years. We will determine the distribution and frequency dependence of the time scales, look for weak or bursty emission in the off states and determine the bandwidth of the on/off emission process, the spectral characteristics of the emission, the evolution of pulse energy distribution over wide-band and search for possible link between long- and short-term emission variability. These observations will provide insights into how these pulsars emit and how that emission is changing in time and as a function of frequency.
DOI: 10.21227/0yan-em45
title: iSAID-Reduce100

description: The iSAID-Reduce100 dataset is a reduced version of the iSAID dataset for instance segmentation on remote sensing imagery. The dataset is composed of a training set and validation set. For each category, there are 100 training images and ~100 validation images. The pixel size of the image is 512.
DOI: 10.21227/r4ng-3k16
title: 2171 publications from WoS

description: 1. We selected the database for documentary analysis(Web of Science Core Collection).2. We set up a basic search ("BLOCKCHAIN" OR"BLOCK CHAINS" OR "BLOCK-CHAIN" OR "BLOCKCHAINS" OR "CHAIN OF BLOCKS" [TITLE]. All keywords were enclosed in quotation marks to ensure that they are not split during the retrieval process, except for "BLOCKCHAIN").3. We determined the relevant timespan (“2008” TO “2020” in the categories of “Custom year range”).4. We chose the relevant Citation Indexes (“SCI-EXPANDED” and “SSCI” and “A&HCI”).A total of 2573 publications were retrieved. To optimize the search results, we incorporated new search criteria: we limited the file type to "ARTICLE" and the language to "ENGLISH". After the second search, we obtained 2179 publications. Then, we de-duplicated the retrieved documents, deleted irrelevant documents, and finally obtained 2171 publications, used to analyze the blockchain’s scientific evolution.
DOI: 10.34740/kaggle/dsv/1874506
title: US counties COVID 19 dataset
DOI: 10.6084/m9.figshare.13634861
title: Frequent Polarity Reversals in the Cretaceous Normal Superchron (Supplementary data)

description: Table S1 Paleomagnetic ChRM directions and their corresponding VGPs of the Ban Phonngam (BP) section.Table S2 Reversal test results of the ChRM directions of the BP and BN sections.<br>Table S3 Paleomagnetic ChRM directions and their corresponding VGPs of the Ban Nongpen (BN) section.<br>Table S4 Statistics of the reversed polarity ChRM directions of the BP and BN sections.<br>Table S5 LA-ICP-MS U-Pb isotopic results of the detrital zircons with youngest ages. <br>Table S6 Alternate measures of youngest detrital zircon age for samples from the borehole ZK2893 and BP section, and the corresponding magnetostratigraphic ages of the sampling horizons.<br>Table S7 Worldwide reported observations of the polarity reversals in the CNS.<br>Table S8 Summary of the reversed polarity intervals within the CNS.<br>
DOI: 10.5281/zenodo.4460020
title: A Data set for Information Spreading over the News

description: <strong>Abstract:</strong> Analyzing the spread of information related to a specific event in the news has many potential applications. Consequently, various systems have been developed to facilitate the analysis of information spreadings such as detection of disease propagation and identification of the spreading of fake news through social media. There are several open challenges in the process of discerning information propagation, among them the lack of resources for training and evaluation. This paper describes the process of compiling a corpus from the EventRegistry global media monitoring system. We focus on information spreading in three domains: sports (i.e. the FIFA WorldCup), natural disasters (i.e. earthquakes), and climate change (i.e.global warming). This corpus is a valuable addition to the currently available datasets to examine the spreading of information about various kinds of events. <strong>Introduction:</strong> Domain-specific gaps in information spreading are ubiquitous and may exist due to economic conditions, political factors, or linguistic, geographical, time-zone, cultural, and other barriers. These factors potentially contribute to obstructing the flow of local as well as international news. We believe that there is a lack of research studies that examine, identify, and uncover the reasons for barriers in information spreading. Additionally, there is limited availability of datasets containing news text and metadata including time, place, source, and other relevant information. When a piece of information starts spreading, it implicitly raises questions such as as How far does the information in the form of news reach out to the public? Does the content of news remain the same or changes to a certain extent? Do the cultural values impact the information especially when the same news will get translated in other languages? <strong>Statistics about datasets:</strong> -------------------------------------------------------------------------------------------------------------------------------------- # Domain Event Type Articles Per Language Total Articles 1 Sports FIFA World Cup 983-en, 762-sp, 711-de, 10-sl, 216-pt 2679 2 Natural Disaster Earthquake 941-en, 999-sp, 937-de, 19-sl, 251-pt 3194 3 Climate Changes Global Warming 996-en, 298-sp, 545-de, 8-sl, 97-pt 1945 --------------------------------------------------------------------------------------------------------------------------------------
DOI: 10.5281/zenodo.4459969
title: Pantomime dataset and source

description: Datasets and source files for the paper 'Pantomime: Mid-Air Gesture Recognition with SparseMillimeter-Wave Radar Point Clouds'. They belong to the Radiosense project.
DOI: 10.5281/zenodo.3772659
title: Pantomime dataset and source

description: Datasets and source files for the paper 'Pantomime: Mid-Air Gesture Recognition with SparseMillimeter-Wave Radar Point Clouds'. They belong to the Radiosense project.
DOI: 10.5281/zenodo.4460090
title: qdgc Brazil

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <br> <br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> <br> <br> The attributes for each table are:<br> <br> <br> <br> <br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> <br> <br> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 23rd of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
description: Please note that the decompressed size is 11.5 GB.
DOI: 10.5281/zenodo.4460089
title: qdgc Brazil

description: QDGC tables delivered in geopackage file<br> - - - - - - - - - - - - - - - - - - - - - -<br> QDGC represents a way of making (almost) equal area squares covering a specific area to represent specific qualities of the area covered. The squares themselves are based on the degree squares covering earth. Around the equator we have 360 longitudinal lines , and from the north to the south pole we have 180 latitudinal lines. Together this gives us 64800 segments or tiles covering earth.<br> <br> <br> <br> <br> Within each geopackage file you will find a number of tables with these names:<br> <br> <br> <br> <br> -tbl_qdgc_01<br> -tbl_qdgc_02<br> -tbl_qdgc_03<br> -tbl_qdgc_04<br> -tbl_qdgc_05<br> -etc<br> <br> <br> <br> <br> The attributes for each table are:<br> <br> <br> <br> <br> qdgc Unique Quarter Degree Grid Cell reference string<br> area_reference Country<br> level_qdgc QDGC level<br> cellsize degrees decimal degree for the longitudal and latitudal length of the cell<br> lon_center Longitude center of the cell<br> lat_center Latitudal center of the cell<br> area_km2 Calculated area for the cell<br> geom Geometry<br> <br> <br> <br> <br> Metadata<br> --------<br> Geodata GCS_WGS_1984<br> Datum: D_WGS_1984<br> Prime Meridian: 0<br> <br> <br> <br> <br> Areas are calculated with different versions of Albers Equal Area Conic using the PostGIS function st_area. For the African continent I have used Africa Albers Equal Area Conic which will look like this:<br> - st_area(st_transform(geom, 102022))/1000000)<br> <br> <br> <br> <br> Licensing<br> ---------<br> Creative Commons Attribution 4.0 International<br> <br> <br> <br> <br> Conditions<br> ----------<br> Delivered to the user as-is. No guarantees. If you find errors, please tell me and I will try to fix it. Suggestions for improvements can be addressed to the github repository: https://github.com/ragnvald/qdgc<br> <br> <br> <br> <br> Thankyou<br> --------<br> The work has over the years been supported and received advice and moral support from many organisations and stakeholders. Here are some of them:<br> - Tanzania Wildlife Research Institute<br> - Dept of Biology, NTNU, Norway<br> - Norwegian Environment Agency<br> - Eivin Røskaft, Steven Prager, Howard Frederick, Julian Blanc, Honori Maliti, Paul Ramsey<br> <br> <br> <br> <br> References<br> ----------<br> * http://en.wikipedia.org/wiki/QDGC<br> * http://www.mindland.com/wp/projects/quarter-degree-grid-cells/about-qdgc/<br> * http://en.wikipedia.org/wiki/Lambert_azimuthal_equal-area_projection<br> * http://www.safe.com<br> <br> <br> <br> <br> <br> <br> <br> <br> Ragnvald Larsen<br> Trondheim 23rd of January, 2021<br> <br> <br> <br> <br> ragnvald@mindland.com<br> www.mindland.com
description: Please note that the decompressed size is 11.5 GB.
DOI: 10.17632/ykynkxn784.1
title: Data for: Investigating the Effect of Climate Uncertainty on Global Commodity Market

description: In the Excel file (Data for Investigating the Effect of Climate Uncertainty on Global Commodity Market.xlsx), the first sheet (Price Data) contains the monthly data for 63 global commodity prices, and the second sheet (PPI) contains the U.S. Producer Price Index, the third sheet (BiENSO_Factor) contains the Bimonthly SOI variable, and its factor extracted from the AR(1) endogenous regime switching in mean model, and the fourth sheet (Price Description) contains the brief description for the global commodity prices loaded in the first sheet.
DOI: 10.17632/n5876cmd9k.1
title: Data for: Do anger perception and the experience of anger share common neural mechanisms? Coordinate-based meta-analytic evidence of similar and different mechanisms from functional neuroimaging studies

description: The neural bases of anger are still a matter of debate. In particular we do not know whether anger perception and anger experience rely on similar or different neural mechanisms. To study this topic, we performed activation-likelihood-estimation meta-analyses of human neuroimaging studies on 62 previous studies on anger perception and experience. Anger perception analysis resulted in significant activation in the amygdala, the superior temporal gyrus and the right ventrolateral prefrontal cortex, thus revealing the role of perceptual areas such as the superior temporal gyrus and the amygdala for perceiving angry stimuli. Anger experience analysis resulted in the bilateral activation of the insula and the ventrolateral prefrontal cortex, thus revealing the role of the insula in the experience of anger. Conjunction analyses revealed a common area localized in the right inferior frontal gyrus, probably involved in the appraisal and labelling of anger for both perception and experience. Altogether these results provide new insights on the functional architecture underlying the neural processing of anger that involves separate and joint mechanisms, where the superior temporal gyrus and the amygdala are key regions for the perception of this emotion displayed by others, and the insula is a key region for the experience of anger. These data show the GingerALE output of the meta-analyses on: - Anger Perception - Anger Experience - The conjunction analysis between anger perception and anger experience