cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29131991
title: <b>Postoperative Infectious Pneumonia in Cardiothoracic Surgery: A Systematic Review and Meta-Analysis</b>

description: This systematic review and meta-analysis aimed to evaluate the incidence and perioperative risk factors for postoperative infectious pneumonia (PIP) in adult patients undergoing cardiothoracic surgery, including CABG, heart valve procedures, and thoracic oncologic surgeries. Following PRISMA 2020 guidelines, the authors conducted a rigorous search across PubMed, Embase, and Scopus for cohort studies published between January 2021 and December 2023. From 1,142 initial records, 6 high-quality cohort studies (totaling 4,392 patients) were included in the final analysis. The pooled incidence of PIP was 14.8% (95% CI: 10.6%–19.2%), with the highest rates observed after thoracic oncologic surgeries (17.2%). The most significant risk factors for PIP included: Prolonged mechanical ventilation &gt;48 hours (OR: 3.46) Advanced age &gt;70 years (OR: 2.71) Chronic obstructive pulmonary disease (COPD) (OR: 2.95) Extended cardiopulmonary bypass (CPB) time &gt;120 minutes (OR: 2.63) Reduced left ventricular ejection fraction (&lt;40%) (OR: 2.38) Statistical heterogeneity was moderate (I² = 46%), and no significant publication bias was detected. The study concludes that PIP is a frequent and serious complication after cardiothoracic surgery. Targeted preventive strategies—such as early extubation, lung-protective ventilation, and preoperative pulmonary optimization—are urgently needed to reduce the burden of this condition and improve surgical outcomes.
DOI: 10.5281/zenodo.15491957
title: Dataset_Curren_BTS_2021_2022
DOI: 10.5281/zenodo.15491958
title: Dataset_Curren_BTS_2021_2022
DOI: 10.25824/redu/nmbsht
title: Dados da revisão sistemática sobre aplicações da inteligência artificial explicável em recursos hídricos

description: Este conjunto de dados foi elaborado no contexto de uma revisão sistemática da literatura com foco na aplicação da Inteligência Artificial Explicável (XAI) na gestão de recursos hídricos. A planilha contém informações extraídas de 314 artigos científicos publicados entre janeiro de 2021 e abril de 2025 na base de dados Scopus. O objetivo do dataset é subsidiar análises quantitativas e qualitativas sobre o uso de técnicas de XAI em diferentes contextos da gestão hídrica, permitindo a identificação de padrões, lacunas e tendências na literatura. Cada linha corresponde a um artigo incluído na revisão, contendo colunas com dados como: ano de publicação, técnicas de XAI utilizadas, algoritmos de aprendizado de máquina empregados , área temática abordada, e outros metadados relevantes. O conjunto foi construído a partir de filtros temáticos, leitura criteriosa dos textos completos e categorização padronizada. Seu uso é recomendado para pesquisadores interessados em inteligência artificial aplicada à engenharia, sustentabilidade e gestão ambiental, especialmente na interseção entre XAI e políticas de governança da água.
DOI: 10.15468/dl.k4vanw
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dipterocarpus tuberculatus Roxb.",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014755-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15491975
title: Child-Teacher Shared Narrative App Reading in an Early Years Setting

description: The dataset includes transcription of a shared child-teacher narrative app reading episode from video data collected from an early years setting in England.
DOI: 10.5281/zenodo.15491976
title: Child-Teacher Shared Narrative App Reading in an Early Years Setting

description: The dataset includes transcription of a shared child-teacher narrative app reading episode from video data collected from an early years setting in England.
DOI: 10.5281/zenodo.15492056
title: Known parchmentmakers from northern Europe

description: This is a list of known (often named) parchment makers from northern Europe in the Middle Ages. The research was carried out as part of my PhD at Lund University: "Parchment: demand and supply in medieval Scandinavia". The list is called Appendix 10b (Appendix 10 is the printed summary of towns and years). This was not a systematic survey, due to the large number of medieval records, many of which have  neither been transcribed nor published. Instead, the names come from a variety of published sources, covering Belgium, Denmark, England, Estonia, France, Germany, the Netherlands, Poland, Sweden.
DOI: 10.5281/zenodo.14794840
title: "Major Shifts in Equatorial Atlantic and Pacific Calcareous Nannofossil Assemblages across the Early Eocene Climatic Optimum (EECO; ~53–49 Ma)" - Age-depth models and calcareous nannofossil datasets

description: This dataset supplement to the paper "Major Shifts in Equatorial Atlantic and Pacific Calcareous Nannofossil Assemblages across the Early Eocene Climatic Optimum (EECO; ~53–49 Ma)" (Paleoceanography and Paleoclimatology).

Data Set S1. Age-Depth Models

This dataset includes input age-depth tie points and output age models for ODP Sites 1258 and 865, generated using Undatable (Matlab software, Version 1.1; Lougheed & Obrochta, 2019; https://doi.org/10.1029/2018PA003457).

Undatable input age-depth tie points and output age models for all sites (Sites 1258, 865, 1210, 1263, U1410, 589, 762, U1510, 1135, 690, 207) compared in this study are contained in two zipped folders: cm- and meter-depth scale version (the latter consist of only the age-depth plots). The age-depth models presented in this study can be reproduced by loading the input files into the Undatable graphical user interface (GUI) and applying the settings specified in the header row of the output files, including the number of Monte Carlo iterations, xfactor, and bootstrapping parameters.

Data Set S2. Calcareous Nannofossil Census Data

This dataset contains raw census data, total calcareous nannofossil absolute abundance estimates (N/g), and genus-level census counts (%) from ODP Sites 1258 and 865.
DOI: 10.5281/zenodo.14794841
title: "Major Shifts in Equatorial Atlantic and Pacific Calcareous Nannofossil Assemblages across the Early Eocene Climatic Optimum (EECO; ~53–49 Ma)" - Age-depth models and calcareous nannofossil datasets

description: This dataset supplement to the paper "Major Shifts in Equatorial Atlantic and Pacific Calcareous Nannofossil Assemblages across the Early Eocene Climatic Optimum (EECO; ~53–49 Ma)" (Paleoceanography and Paleoclimatology).

Data Set S1. Age-Depth Models

This dataset includes input age-depth tie points and output age models for ODP Sites 1258 and 865, generated using Undatable (Matlab software, Version 1.1; Lougheed & Obrochta, 2019; https://doi.org/10.1029/2018PA003457).

Undatable input age-depth tie points and output age models for all sites (Sites 1258, 865, 1210, 1263, U1410, 589, 762, U1510, 1135, 690, 207) compared in this study are contained in two zipped folders: cm- and meter-depth scale version (the latter consist of only the age-depth plots). The age-depth models presented in this study can be reproduced by loading the input files into the Undatable graphical user interface (GUI) and applying the settings specified in the header row of the output files, including the number of Monte Carlo iterations, xfactor, and bootstrapping parameters.

Data Set S2. Calcareous Nannofossil Census Data

This dataset contains raw census data, total calcareous nannofossil absolute abundance estimates (N/g), and genus-level census counts (%) from ODP Sites 1258 and 865.
DOI: 10.15468/dl.3hx7nx
title: Occurrence Download

description: A dataset listing the 295 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Plantae, Tracheophyta)",
 "StateProvince is one of (bogotá, d.c.)",
 "Geometry POLYGON((-74.1728 4.69228,-74.13446 4.67022,-74.10391 4.69839,-74.15176 4.72961,-74.17586 4.70212,-74.1728 4.69228))"
 ]
 }
 ]
}

 The dataset's 295 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014758-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfbtbs
title: Occurrence Download

description: A dataset containing 711781 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eretmocerus longiterebrus Rose, 2000, Encarsia narroi Gomez & Garcia, 2000, Coccophagus quaestor Girault, 1917, Metaphycus luteolus (Timberlake, 1916), Coccophagus rusti Compere, 1928, Melipona beecheii Bennett, 1831, Polymerus basalis (Reuter, 1876), Plagiognathus politus Uhler, 1895, Systoechus vulgaris Loew, 1863, Crambus laqueatellus Clemens, 1860, Archips purpurana (Clemens, 1865), Puccinia lagenophorae Cooke, Entyloma bellidis Krieg., Cnephasia incertana (Treitschke, 1835), Kalcapion semivittatum (Gyllenhal, 1833), Rhinophora lepida (Meigen, 1824), Sphaerophoria pyrrhina Bigot, 1884, Inopus rubriceps (Macquart, 1847), Melangyna novaezelandiae (Macquart, 1855), Columba livia f. domestica, Adela croesella Scopoli, 1763, Catoplatus fabricii (Stål, 1873), Cryptocephalus venustus Fabricius, 1787, Halictus tumulorum (Linnaeus, 1758), Andrena flavipes Panzer, 1799, Andrena dorsata (Kirby, 1802), Lasioglossum zonulum (Smith, 1848), Allograpta exotica (Wiedemann, 1830), Puccinia obscura J.Schröt., Liriomyza orbona (Meigen, 1830), Calycomyza humeralis (Roser, 1840), Liriomyza pusilla (Meigen, 1830), Napomyza bellidis Griffiths, 1967, Puccinia distincta McAlpine, Pithecia aequatorialis Hershkovitz, 1987, Plecturocebus discolor (I.Geoffroy Saint-Hilaire & Deville, 1848), Cheracebus lucifer (Thomas, 1914), Myoprocta pratti Pocock, 1913, Potos flavus (Schreber, 1774), Saimiri sciureus (Linnaeus, 1758), Dasyprocta fuliginosa Wagler, 1832, Saguinus imperator (Goeldi, 1907), Leontocebus fuscicollis (Spix, 1823), Mazama americana (Erxleben, 1777), Sapajus apella (Linnaeus, 1758), Lagothrix lagothricha (Humboldt, 1812), Cebus albifrons (Humboldt, 1812), Pecari tajacu (Linnaeus, 1758), Eira barbara (Linnaeus, 1758), Phidotricha erigens Ragonot, 1889)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 711781 records from 1604 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014757-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12465251
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15131/shef.data.12328226.v26
title: CoVid Plots and Analysis

description: # COVID-19Plots and analysis relating to the coronavirus pandemic. Includes five sets of plots and associated R code to generate them.1) HeatmapsUpdated every few days - heatmaps of COVID-19 case and death trajectories for Local Authorities (or equivalent) in England, Wales, Scotland, Ireland and Germany.2) All cause mortalityUpdated on Tuesday (for England & Wales), Wednesday (for Scotland) and Friday (for Northern Ireland) - analysis and plots of weekly all-cause deaths in 2020 compared to previous years by country, age, sex and region. Also a set of international comparisons using data from mortality.org3) ExposuresNo longer updated - mapping of potential COVID-19 mortality exposure at local levels (LSOAs) in England based on the age-sex structure of the population and levels of poor health.There is also a Shiny app which creates slightly lower resolution versions of the same plots online, which you can find here: https://victimofmaths.shinyapps.io/covidmapper/, on GitHub https://github.com/VictimOfMaths/COVIDmapper and uploaded to this record4) Index of Multiple Deprivation No longer updated - preliminary analysis of the inequality impacts of COVID-19 based on Local Authority level cases and levels of deprivation. 5) Socioeconomic inequalities. No longer updated (unless ONS release more data) - Analysis of published ONS figures of COVID-19 and other cause mortality in 2020 compared to previous years by deprivation decile.<br>Latest versions of plots and associated analysis can be found on Twitter: https://twitter.com/victimofmaths<br>This work is described in more detail on the UK Data Service Impact and Innovation Lab blog: http://lab.ukdataservice.ac.uk/2020/05/21/visualising-high-risk-areas-for-covid-19-mortality/<br>Adapted from data from the Office for National Statistics licensed under the Open Government Licence v.1.0.http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/<br>
DOI: 10.15468/dl.tccasr
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agave americana",
 "Country is Malawi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 84 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010666-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15131/shef.data.12328226.v27
title: CoVid Plots and Analysis

description: # COVID-19Plots and analysis relating to the coronavirus pandemic. Includes five sets of plots and associated R code to generate them.1) HeatmapsUpdated every few days - heatmaps of COVID-19 case and death trajectories for Local Authorities (or equivalent) in England, Wales, Scotland, Ireland and Germany.2) All cause mortalityUpdated on Tuesday (for England & Wales), Wednesday (for Scotland) and Friday (for Northern Ireland) - analysis and plots of weekly all-cause deaths in 2020 compared to previous years by country, age, sex and region. Also a set of international comparisons using data from mortality.org3) ExposuresNo longer updated - mapping of potential COVID-19 mortality exposure at local levels (LSOAs) in England based on the age-sex structure of the population and levels of poor health.There is also a Shiny app which creates slightly lower resolution versions of the same plots online, which you can find here: https://victimofmaths.shinyapps.io/covidmapper/, on GitHub https://github.com/VictimOfMaths/COVIDmapper and uploaded to this record4) Index of Multiple Deprivation No longer updated - preliminary analysis of the inequality impacts of COVID-19 based on Local Authority level cases and levels of deprivation. 5) Socioeconomic inequalities. No longer updated (unless ONS release more data) - Analysis of published ONS figures of COVID-19 and other cause mortality in 2020 compared to previous years by deprivation decile.<br>Latest versions of plots and associated analysis can be found on Twitter: https://twitter.com/victimofmaths<br>This work is described in more detail on the UK Data Service Impact and Innovation Lab blog: http://lab.ukdataservice.ac.uk/2020/05/21/visualising-high-risk-areas-for-covid-19-mortality/<br>Adapted from data from the Office for National Statistics licensed under the Open Government Licence v.1.0.http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/<br>
DOI: 10.15468/dl.4sdt69
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agave americana",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 155 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010668-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4568a4
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Agave americana",
 "Country is Malta",
 "HasCoordinate is true"
 ]
}

 The dataset includes 72 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010667-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3f46vq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACV3567"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010671-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15878140
title: Single-Layer QAOA p = 1 Global-Optimum Catalogue (v1.0)

description: Summary

This dataset provides the complete set of analytically-derived optimal parameters and exact reference energies for every  problem instance contained in the public QOPTLib benchmark suite. The angles were obtained by an exhaustive search of the single-layer QAOA (p=1) landscape on the analytically guaranteed Δβ×Δγ grid described in our companion paper “Scalable Hardware Maturity Probe for Quantum Accelerators via Harmonic Analysis of QAOA”
DOI: 10.5281/zenodo.15878141
title: Single-Layer QAOA p = 1 Global-Optimum Catalogue (v1.0)

description: Summary

This dataset provides the complete set of analytically-derived optimal parameters and exact reference energies for every  problem instance contained in the public QOPTLib benchmark suite. The angles were obtained by an exhaustive search of the single-layer QAOA (p=1) landscape on the analytically guaranteed Δβ×Δγ grid described in our companion paper “Scalable Hardware Maturity Probe for Quantum Accelerators via Harmonic Analysis of QAOA”
DOI: 10.15468/dl.arw8uw
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Berberis linearifolia"
 ]
}

 The dataset includes 97 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010670-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15131/shef.data.12328226.v28
title: CoVid Plots and Analysis

description: # COVID-19Plots and analysis relating to the coronavirus pandemic. Includes five sets of plots and associated R code to generate them.1) HeatmapsUpdated every few days - heatmaps of COVID-19 case and death trajectories for Local Authorities (or equivalent) in England, Wales, Scotland, Ireland and Germany.2) All cause mortalityUpdated on Tuesday (for England & Wales), Wednesday (for Scotland) and Friday (for Northern Ireland) - analysis and plots of weekly all-cause deaths in 2020 compared to previous years by country, age, sex and region. Also a set of international comparisons using data from mortality.org3) ExposuresNo longer updated - mapping of potential COVID-19 mortality exposure at local levels (LSOAs) in England based on the age-sex structure of the population and levels of poor health.There is also a Shiny app which creates slightly lower resolution versions of the same plots online, which you can find here: https://victimofmaths.shinyapps.io/covidmapper/, on GitHub https://github.com/VictimOfMaths/COVIDmapper and uploaded to this record4) Index of Multiple Deprivation No longer updated - preliminary analysis of the inequality impacts of COVID-19 based on Local Authority level cases and levels of deprivation. 5) Socioeconomic inequalities. No longer updated (unless ONS release more data) - Analysis of published ONS figures of COVID-19 and other cause mortality in 2020 compared to previous years by deprivation decile.<br>Latest versions of plots and associated analysis can be found on Twitter: https://twitter.com/victimofmaths<br>This work is described in more detail on the UK Data Service Impact and Innovation Lab blog: http://lab.ukdataservice.ac.uk/2020/05/21/visualising-high-risk-areas-for-covid-19-mortality/<br>Adapted from data from the Office for National Statistics licensed under the Open Government Licence v.1.0.http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/<br>
DOI: 10.15131/shef.data.12328226.v29
title: CoVid Plots and Analysis

description: # COVID-19Plots and analysis relating to the coronavirus pandemic. Includes five sets of plots and associated R code to generate them.1) HeatmapsUpdated every few days - heatmaps of COVID-19 case and death trajectories for Local Authorities (or equivalent) in England, Wales, Scotland, Ireland and Germany.2) All cause mortalityUpdated on Tuesday (for England & Wales), Wednesday (for Scotland) and Friday (for Northern Ireland) - analysis and plots of weekly all-cause deaths in 2020 compared to previous years by country, age, sex and region. Also a set of international comparisons using data from mortality.org3) ExposuresNo longer updated - mapping of potential COVID-19 mortality exposure at local levels (LSOAs) in England based on the age-sex structure of the population and levels of poor health.There is also a Shiny app which creates slightly lower resolution versions of the same plots online, which you can find here: https://victimofmaths.shinyapps.io/covidmapper/, on GitHub https://github.com/VictimOfMaths/COVIDmapper and uploaded to this record4) Index of Multiple Deprivation No longer updated - preliminary analysis of the inequality impacts of COVID-19 based on Local Authority level cases and levels of deprivation. 5) Socioeconomic inequalities. No longer updated (unless ONS release more data) - Analysis of published ONS figures of COVID-19 and other cause mortality in 2020 compared to previous years by deprivation decile.<br>Latest versions of plots and associated analysis can be found on Twitter: https://twitter.com/victimofmaths<br>This work is described in more detail on the UK Data Service Impact and Innovation Lab blog: http://lab.ukdataservice.ac.uk/2020/05/21/visualising-high-risk-areas-for-covid-19-mortality/<br>Adapted from data from the Office for National Statistics licensed under the Open Government Licence v.1.0.http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/<br>
DOI: 10.7910/dvn/qh2hlo
title: Is the Grass Really Greener on the Other Side? Parliamentary Oversight of the European Central Bank and the Fed

description: The data includes the Atlas.ti files showing the original coding of parliamentary hearings, as well as the output files supporting the figures in the article (in Excel format)
v1 = disaggregated response
v2 = responses grouped by category