cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17605/osf.io/vcq68
title: The NHS Health Check programme: a survey of programme delivery in England before and after the Covid-19 pandemic response

description: Introduction: 
The NHS Health Check aims to identify individuals at increased risk of cardiovascular diseases (CVDs) among the adult population in England. The Health Check includes calculation of CVD risk and discussion of pharmacological and lifestyle approaches to manage risk, including referral to lifestyle support services. The programme is commissioned by Local Authorities (LAs) and is delivered by a range of different providers in different settings. There is significant variation in activity, with uptake ranging from 25% to 85% in different areas, and clear evidence of variation in implementation and delivery practice.

Methods and analysis: 
We aimed to understand how the NHS Health Check programme works in different settings, for different groups, so that we could recommend improvements to maximise intended outcomes. To do so, we undertook a realist review and a survey of LA public health teams. Our review followed Pawson's five iterative stages: (1) locate existing theories, (2) search for evidence, (3) article selection, (4) extract and organise data and (5) synthesise evidence and draw conclusions. Our review included documents describing local implementation alongside published research studies. We recruited a stakeholder group (including Public Health England, commissioners and providers of Health Checks, plus members of the public and patients) to advise us throughout. Our survey was sent to all 152 LAs in England to gather detailed information on programme delivery (including COVID-19-related changes) and available referral services. This enabled us to map delivery across England and relate these data to programme outcomes.

Ethics and dissemination: For the survey, we received approval from the University of Kent Research Ethics Committee. Our findings were used to develop recommendations on tailoring, implementation and design strategies to improve delivery of the NHS Health Check in different settings, for different groups.

Prospero registration number: CRD42020163822.
DOI: 10.6084/m9.figshare.31434703
title: Sequence alignment and phylogenetic tree for Penicillium kirstenbochense isolated from Brazil

description: This dataset contains the multilocus sequence alignment (ITS, BenA, CaM e rpb2) used in the study reporting a new geographical record of Penicillium kirstenbochense from Brazil.<br>
DOI: 10.6084/m9.figshare.31434703.v1
title: Sequence alignment and phylogenetic tree for Penicillium kirstenbochense isolated from Brazil

description: This dataset contains the multilocus sequence alignment (ITS, BenA, CaM e rpb2) used in the study reporting a new geographical record of Penicillium kirstenbochense from Brazil.<br>
DOI: 10.15468/dl.f54wtc
title: Occurrence Download

description: A dataset containing 258 records in GBIF matching the query:

SELECT
 GBIF_ISEA3HCode(
 8, 
 decimalLatitude,
 decimalLongitude,
 COALESCE(coordinateUncertaintyInMeters, 1000)
 ) AS geogrid_id,
 CASE 
 WHEN classKey IN ('359') THEN 'Mammals'
 WHEN classKey IN ('212') THEN 'Birds'
 WHEN familyKey IN ('1103', '1104', '494', '495', '1105', '496', '497', '1106', '498', '499', '1107', '537', '538', '1153', '547', '1162', '548', '549', '550', '1163', '1164', '1165', '1166', '1167', '1305', '1067', '1306', '1307', '1308', '1068', '1069', '587', '1310', '588', '589', '1311', '1312', '1313', '590', '708', '890', '774', '889', '773', '772', '888', '765', '879') THEN 'Bony Fish'
 WHEN classKey IN ('131') THEN 'Amphibians'
 WHEN classKey IN ('216') THEN 'Insects'
 WHEN classKey IN ('11418114', '11569602', '11592253', '11493978') THEN 'Reptiles'
 WHEN phylumKey IN ('52') THEN 'Molluscs'
 WHEN classKey IN ('367') THEN 'Arachnids'
 WHEN classKey IN ('220', '196') THEN 'Flowering Plants'
 WHEN classKey IN ('194', '244', '228', '282') THEN 'Gymnosperms'
 WHEN orderKey IN ('392') THEN 'Ferns'
 WHEN phylumKey IN ('35') THEN 'Mosses'
 WHEN phylumKey IN ('95') THEN 'Sac Fungi'
 WHEN phylumKey IN ('34') THEN 'Basidiomycota'
 END AS taxonomic_group,
 COUNT(DISTINCT speciesKey) AS species_count
FROM occurrence
WHERE countryCode = 'NP'
 AND hasCoordinate = TRUE
 AND hasGeospatialIssues = FALSE
 AND coordinateUncertaintyInMeters &lt;= 2000
 AND occurrenceStatus = 'PRESENT'
 AND speciesKey IS NOT NULL
 AND basisOfRecord != 'FOSSIL_SPECIMEN'
 AND taxonRank = 'SPECIES'
 AND (
 classKey IN ('359', '212', '131', '216', '11418114', '11569602', '11592253', '11493978', '367', '220', '196', '194', '244', '228', '282')
 OR familyKey IN ('1103', '1104', '494', '495', '1105', '496', '497', '1106', '498', '499', '1107', '537', '538', '1153', '547', '1162', '548', '549', '550', '1163', '1164', '1165', '1166', '1167', '1305', '1067', '1306', '1307', '1308', '1068', '1069', '587', '1310', '588', '589', '1311', '1312', '1313', '590', '708', '890', '774', '889', '773', '772', '888', '765', '879')
 OR phylumKey IN ('52', '35', '95', '34')
 OR orderKey IN ('392')
 )
GROUP BY geogrid_id, taxonomic_group;


 The dataset's 258 records were derived from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002980-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18807437
title: INNOVATION-DRIVEN EVOLUTION OF AIR CARGO LOGISTICS IN THE DIGITAL ERA

description: The air cargo industry is undergoing structural transformation driven by technological innovation and digitalization. Traditionally based on fragmented, document-intensive processes, air cargo logistics is evolving toward integrated, data-driven ecosystems characterized by real-time visibility, automation, and digital collaboration. This study examines how innovation drives structural change in air cargo logistics, drawing on institutional data and reports from IATA, ICAO, the World Bank, and UNCTAD. Using a socio-technical innovation perspective, the analysis explores the interaction between technological adoption, organizational restructuring, and regulatory adaptation, with particular attention to digital supply chains, e-freight initiatives, artificial intelligence, big data analytics, blockchain, and smart cargo terminals (Ivanov & Dolgui, 2020; Wamba et al., 2020).

The findings indicate that while digitalization improves efficiency, transparency, and resilience, persistent challenges remain, including interoperability constraints, governance issues, cybersecurity risks, and uneven adoption across regions. The study demonstrates that successful innovation outcomes depend not only on technology deployment but also on institutional readiness, infrastructure capacity, and strategic innovation management (Büyüközkan & Göçer, 2018; Queiroz et al., 2021). The article concludes that digital transformation represents a systemic reconfiguration of value creation and coordination mechanisms within global supply chains and outlines future trends related to AI-driven decision-making and automation.
DOI: 10.5281/zenodo.18807436
title: INNOVATION-DRIVEN EVOLUTION OF AIR CARGO LOGISTICS IN THE DIGITAL ERA

description: The air cargo industry is undergoing structural transformation driven by technological innovation and digitalization. Traditionally based on fragmented, document-intensive processes, air cargo logistics is evolving toward integrated, data-driven ecosystems characterized by real-time visibility, automation, and digital collaboration. This study examines how innovation drives structural change in air cargo logistics, drawing on institutional data and reports from IATA, ICAO, the World Bank, and UNCTAD. Using a socio-technical innovation perspective, the analysis explores the interaction between technological adoption, organizational restructuring, and regulatory adaptation, with particular attention to digital supply chains, e-freight initiatives, artificial intelligence, big data analytics, blockchain, and smart cargo terminals (Ivanov & Dolgui, 2020; Wamba et al., 2020).

The findings indicate that while digitalization improves efficiency, transparency, and resilience, persistent challenges remain, including interoperability constraints, governance issues, cybersecurity risks, and uneven adoption across regions. The study demonstrates that successful innovation outcomes depend not only on technology deployment but also on institutional readiness, infrastructure capacity, and strategic innovation management (Büyüközkan & Göçer, 2018; Queiroz et al., 2021). The article concludes that digital transformation represents a systemic reconfiguration of value creation and coordination mechanisms within global supply chains and outlines future trends related to AI-driven decision-making and automation.
DOI: 10.15468/dl.h8hnck
title: Occurrence Download

description: A dataset containing 19314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-70.87599 42.69016,-70.75257 42.69016,-70.75257 42.77489,-70.87599 42.77489,-70.87599 42.69016))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d"
 ]
}

 The dataset includes 19314 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002986-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31434724
title: Serious adverse events following human papillomavirus vaccination: A systematic review and meta-analysis of post-marketing evidence

description: Human papillomavirus (HPV) vaccines are a critical tool in cancer prevention, yet concerns about serious adverse events (SAEs) have fueled public hesitancy and constrained vaccination uptake. This systematic review aimed to determine the proportion of adverse events that were SAEs, rate of SAEs following HPV vaccination and their association from post-marketing observational studies. We conducted a search in PubMed, EMBASE, and Web of Science databases in March 2025. Studies published in English reporting SAEs after HPV vaccination from post-licensure studies or surveillance were included. Of the 258 identified records, 24 articles were included in the systematic review: 15 in the meta-analysis and 9 in the narrative synthesis. Among the studies included in the meta-analysis, four found no SAEs; the pooled proportion of adverse events that were SAEs was 3.67% (95% confidence interval, CI: 1.19%, 7.30%), I<sup>2</sup> = 99.73%. The pooled rate of SAEs in 14 studies that reported total number of doses distributed was 0.04 (95% CI: 0.00, 0.35) per 1000 doses, I<sup>2</sup> = 99.98%. No consistent evidence of any increased risk of SAEs with HPV vaccination was found in the nine studies included in the narrative synthesis. However, an increased risk of celiac disease was observed, likely due to diagnostic unmasking rather than a causal association, warranting further investigation. Our findings provide evidence that SAEs remain rare following HPV vaccination. Nevertheless, continued surveillance and improved standardization of SAE definition and reporting are essential to strengthen post-marketing safety monitoring and counteract vaccine misinformation.
DOI: 10.6084/m9.figshare.31434724.v1
title: Serious adverse events following human papillomavirus vaccination: A systematic review and meta-analysis of post-marketing evidence

description: Human papillomavirus (HPV) vaccines are a critical tool in cancer prevention, yet concerns about serious adverse events (SAEs) have fueled public hesitancy and constrained vaccination uptake. This systematic review aimed to determine the proportion of adverse events that were SAEs, rate of SAEs following HPV vaccination and their association from post-marketing observational studies. We conducted a search in PubMed, EMBASE, and Web of Science databases in March 2025. Studies published in English reporting SAEs after HPV vaccination from post-licensure studies or surveillance were included. Of the 258 identified records, 24 articles were included in the systematic review: 15 in the meta-analysis and 9 in the narrative synthesis. Among the studies included in the meta-analysis, four found no SAEs; the pooled proportion of adverse events that were SAEs was 3.67% (95% confidence interval, CI: 1.19%, 7.30%), I<sup>2</sup> = 99.73%. The pooled rate of SAEs in 14 studies that reported total number of doses distributed was 0.04 (95% CI: 0.00, 0.35) per 1000 doses, I<sup>2</sup> = 99.98%. No consistent evidence of any increased risk of SAEs with HPV vaccination was found in the nine studies included in the narrative synthesis. However, an increased risk of celiac disease was observed, likely due to diagnostic unmasking rather than a causal association, warranting further investigation. Our findings provide evidence that SAEs remain rare following HPV vaccination. Nevertheless, continued surveillance and improved standardization of SAE definition and reporting are essential to strengthen post-marketing safety monitoring and counteract vaccine misinformation.
DOI: 10.17605/osf.io/47mau
title: Supplementary Material for: Mental health benefits of urban green – a systematic review and meta-analysis of 56 pre-post control experiments

description: Supplementary material - scripts and data
DOI: 10.15468/dl.qe8hg2
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Astragalus tetuanensis, Astragalus pseudopinetorum, Serapias fallax, Serapias oulmesiaca, Aristida tricornis, Trifolium adulterinum, Serapias cypria, Astragalus horasanicus, Astragalus trabzonicus, Allium platakisii, Allium ritsi, Allium lefkadensis, Allium orosamium, Astragalus bicolor, Astragalus gillettii, Astragalus alhamedensis, Allium agrigentinum, Allium euboicum, Gethyllis cavidens, Gethyllis latifolia, Allium orestis, Allium lazikkiyense, Allium maghrebinum, Astragalus adunciformis, Astragalus cymbibracteatus, Astragalus scabrifolius, Astragalus trachytrichus, Astragalus transjordanicus, Astragalus turcicus, Allium aybukeae, Astragalus kirchhoffiae, Juncus anatolicus, Allium pervariensis, Astragalus mugliensis, Trifolium meduseum, Crepis athoa, Trifolium sonorense, Ferulago sandrasica, Ferulago stellata, Allium djimilense, Gethyllis fimbriatula, Allium tingitanum, Astragalus demirizii, Astragalus marivanensis, Astragalus rhodochrous, Astragalus tawilicus, Elymus clivorum, Crepis macropus, Astragalus antalyensis, Ferulago blancheana, Ferulago macrosciadea, Astragalus aybarsii, Allium proponticum, Allium tourneuxii, Trifolium minutissimum, Astragalus goeznensis, Astragalus pineticola, Odontites sillettii, Allium eldivanense, Allium enginii, Allium kastambulense, Allium cithaeronis, Astragalus chionobiiformis, Astragalus chtonocephalus, Astragalus spitzenbergeri, Astragalus vexillaris, Crepis arcuata, Astragalus ancistrocarpus, Astragalus ensifer, Astragalus guzelsuensis, Astragalus bahcesarayensis, Allium robertianum, Allium trachycoleum, Astragalus cryptobotrys, Astragalus ehrenbergii, Astragalus mesopterus, Astragalus xerophiloides, Crepis smyrnaea, Astragalus oocephalus, Austrostipa everettiana, Ferulago biumbellata, Serapias provincialis, Astragalus germainii, Berberis brevifolia, Astragalus ansinii, Allium stenopetalum, Allium shinasii, Allium cremnophilum, Allium mardinense, Trifolium juliani, Trifolium salmoneum, Trifolium vernum, Astragalus berteroi, Astragalus pennatus, Ferulago sartorii, Juncus maroccanus, Allium brevicaule, Allium chloranthum)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 160 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002987-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/ws5mp
title: MASLIHAT Trial Data and Documentation

description: MASLIHAT Trial data and documentation
DOI: 10.15468/dl.dc6ww3
title: Occurrence Download

description: A dataset containing 196 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Allium feinbergii, Allium hierosolymorum, Allium nemrutdaghense, Allium purpureoviride, Astragalus chamberlainianus, Astragalus cicerellus, Astragalus stridii, Astragalus tadmorensis, Astragalus trichostigma, Ebenus depressa, Astragalus icmadophilus, Astragalus paralipomenus, Astragalus taochius, Ebenus haussknechtii, Cineraria lanosa, Elymus lazicus, Astragalus oksutdagensis, Allium ducissae, Astragalus corinthiacus, Astragalus ihsancalisii, Trifolium dolopium, Trifolium farayense, Astragalus armeniacus, Astragalus ictericus, Cineraria albomontana, Astragalus scholerianus, Allium calyptratum, Allium lojaconoi, Juncus fallax, Odontites pseudogranatensis, Astragalus agraniotii, Astragalus nemorosus, Astragalus nervulosus, Astragalus reinii, Astragalus rubicundus, Crepis paniculas, Crepis quercifolia, Crepis turcica, Astragalus ekicii, Astragalus kurnet-es-saudae, Juncus ernesti-barrosii, Allium ertugrulii, Haplopappus racemiger, Haplopappus vicuniensis, Austrostipa anaiwaniorum, Astragalus calophyllus, Astragalus camelorum, Astragalus ovatus, Astragalus pseudofragrans, Allium brussalisii, Crepis insignis, Allium karacae, Allium naqabense, Astragalus crinitus, Astragalus albicalycinus, Serapias walravensiana, Allium ankarense, Astragalus eucephalus, Astragalus gevashensis, Haplopappus kingii, Allium izmirense, Allium bilgeae, Crepis insularis, Astragalus spectabilis, Astragalus werdermannii, Malus crescimannoi, Astragalus columnaris, Astragalus cryptanthus, Astragalus ekimii, Astragalus eriocarpus, Astragalus longisubulatus, Astragalus nigdeanus, Astragalus raphaelis, Astragalus rousseanus, Astragalus schottianus, Astragalus sparsipilis, Allium nerimaniae, Crepis robertioides, Trifolium plebeium, Trifolium alsadami, Serapias garganica, Astragalus exiguus, Allium woronowii, Allium abanticum, Trifolium haussknechtii, Trifolium circumdatum, Sagina quinquevalvis, Astragalus algarbiensis, Astragalus barba-jovis, Astragalus cedreticola, Astragalus ovabaghensis, Ferulago serpentinica, Allium ilgazense, Allium lopadusanum, Gethyllis pectinata, Allium aksekiense, Astragalus acmonotrichus)",
 "Year is greater than or equal to 1950"
 ]
}

 The dataset includes 196 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002988-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/satjrnl-ouc112746412
title: Zarevo (St. Petersburg), no. 4 (1906)

description: [description (english with transliteration)] Zarevo (St. Petersburg), no. 4, 1906. Published A.K. Kasatkin. Edited by B. B. Trofimov. St. Petersburg. Typography: Liundorf. The journal is published weekly in the 8-page large landscape format, printed on raft paper. Each issue contains 5-8 illustrations in two colors.
DOI: 10.17605/osf.io/m6afp
title: Lista Roja de Ecosistemas de UICN de los bosques de las Américas
DOI: 10.17605/osf.io/ykjc4
title: Harmonized datasets to support Seroepidemiology of Trachoma for the Elimination Endgame (R01-AI158884)

description: This repository includes version controlled, harmonized datasets created by the NIH-funded study entitled "Seroepidemiology of Trachoma for the Elimination Endgame" (R01-AI158884), awarded to the University of California, San Francisco, USA (PI: Benjamin Arnold).
DOI: 10.15468/dl.apxcka
title: Occurrence Download

description: A dataset containing 7105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-83.62740 -3.22049,-50.23805 -3.22049,-50.23805 10.12953,-83.62740 10.12953,-83.62740 -3.22049))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Theobroma"
 ]
}

 The dataset includes 7105 records from 215 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002991-260226173443078/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/satjrnl-m975
title: Zhupel, no. 1 (1905)

description: [description (english with transliteration)] Zhupel [Bugbear], no.1, 1905. Published by S.P. Iuritsyn. Edited by Z.I. Grzhebin. St. Petersburg. Typography: "Tovarishchestvo [Company of] R. Golike and A. Vil'borg." Journal of artistic satire -- Rudzinskii, no. 40; BPIR, no. 2817.
DOI: 10.5517/ccdc.csd.cc2nxd33
title: CCDC 2470145: Experimental Crystal Structure Determination

description: Related Article: Meng-Le Tuo, Nan Song, Chen-Chen Xing, Quan-Guo Zhai|2026|Nanoscale|||doi:10.1039/d5nr04656d
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: 10.5517/ccdc.csd.cc2nxd44
title: CCDC 2470146: Experimental Crystal Structure Determination

description: Related Article: Meng-Le Tuo, Nan Song, Chen-Chen Xing, Quan-Guo Zhai|2026|Nanoscale|||doi:10.1039/d5nr04656d
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: 10.5517/ccdc.csd.cc2nxd55
title: CCDC 2470147: Experimental Crystal Structure Determination

description: Related Article: Meng-Le Tuo, Nan Song, Chen-Chen Xing, Quan-Guo Zhai|2026|Nanoscale|||doi:10.1039/d5nr04656d
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: 10.5517/ccdc.csd.cc2nxkhn
title: CCDC 2470312: Experimental Crystal Structure Determination

description: Related Article: Elena Kirilova,  Armands Maļeckis,  Muza Kirjušina,  Ligita Mežaraupe,  Ilze Rubeniņa,  Aija Brakovska,  Veronika Pavlova,  Sanita Kecko,  Inta Umbraško,  Vladimir Kiyan,  Lyudmila Lider,  Aleksandrs Pučkins,  Sergey Belyakov|2025|Molecules|30|4472|doi:10.3390/molecules30224472
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.