cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17805175
title: Kneeview: An open-source repository of patient-specific knee geometries and structured meshes

description: The exploitation of finite-element modeling to understand knee biomechanics is often constrained by data availability. While the osteoarthritis initiative (OAI) [1] provides invaluable imaging data, converting these images into finite-element meshes is time-consuming. Open models such as OpenKnee [2] are valuable but restricted by unstructured meshes and low subject count (n=8). To address this, we present a repository of 80 patient-specific bone geometries of the femur, tibia, patella and fibula that is being expanded with personalized structured finite-element models through mesh morphing.

The dataset included T2, fat saturated, knee MRI scans from 93 patients (38 male, 55 female) acquired at Hospital Del Mar, Barcelona. An nnUNet neural network was trained on 35 expert annotations verified by a musculoskeletal-specialized radiologist. We created a webservice, Kneeview (https://knee.view.upf.edu), to host the repository. Subjects with missing demographics were excluded and 80 subject segmentations were reported. We customize the Bayesian Coherent Point Drift (BCPD) algorithm to treat tissues distinctively: bones undergo object-specific morphing, while soft tissues are automatically interpolated. 

The nnUNet achieved high segmentation accuracy on a hold-out test dataset of 15 volumes with an average Dice coefficient of 0.986 ± 0.001 and IOU of 0.971 ± 0.002. The average Hausdorff Distance (HD95) was 14.464 ± 12.727. This variance was driven exclusively by distal tibial artefacts (Tibia HD95: 16.49 ± 14.22) while femur, patella and fibula gave an average HD95 of 1.46 ± 0.242. All annotated 3D models were successfully incorporated in Kneeview, in STL format. The finite-element mesh included the whole knee joint with ligaments, bones and menisci without distorted or zero-volume elements.

A collection of 80 patient-specific models were successfully created and accessible through the new Kneeview service. The high Dice scores confirm that our automated pipeline produces geometries comparable to manual segmentation. As kneeview continues to grow, it shall address the shortage of open-source simulation-ready knee geometries. Future work will include the structured FE meshes for all subjects after these meshes have been successfully tested against finite element simulations of full gait cycles.

Acknowledgements: This research study was co-funded by the European Union under the Horizon Europe MSCA Joint doctoral network inSilicoHealth with grant No.101169278, by the European Research Council (ERC-2021-CoG-O-Health-101044828), and by the Spanish Ministry of Science, Innovation, and Universities project STRATO - PID2021-126469OB-C21. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Executive Agency (REA). Neither the European Union nor the REA can be held responsible for them.
DOI: 10.3886/e244539
title: Nnamdi Azikwe University, Nnewi, Anambra State, 2026/2027 ADMISSION FORM is out call 09031383306 DR MR JAMES (+249031383306) for TRANSCRIPT Collection School Admin Line 09031383306 To apply Also 2026/2027 Nursing form

description: Nnamdi Azikwe University, Nnewi, Anambra State, 2026/2027 ADMISSION FORM is out call 09031383306 DR MR JAMES (+249031383306) for TRANSCRIPT Collection School Admin Line 09031383306 To apply Also 2026/2027 Nursing form
DOI: 10.15468/dl.hpt5td
title: Occurrence Download

description: A dataset containing 3906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.357012268582773 46.22522707264239, 2.357987012680656 46.22087770394485, 2.369073037123983 46.21613460394155, 2.366313176842717 46.21102687009044, 2.367474373592839 46.20875503937354, 2.372973352245589 46.20687910670837, 2.371498299890739 46.200912278833194, 2.376116886668029 46.200878277853334, 2.377088990778621 46.20309616327263, 2.382608920612888 46.201813320195896, 2.383073413749757 46.205253090271675, 2.385605054025614 46.20525959139543, 2.387446230583429 46.207397428649976, 2.38719969233818 46.20392553439692, 2.392435351775946 46.202182323527545, 2.390663895077368 46.19913722550558, 2.394027532340687 46.19670581249883, 2.397519989453718 46.199753685784955, 2.397225837172398 46.20468691909313, 2.40285760693934 46.202989453638665, 2.407374320605598 46.20867367663836, 2.410445425911927 46.208946282482465, 2.408869100050476 46.21210968928923, 2.409957914616746 46.21543641481719, 2.417652823235414 46.22107271892082, 2.41652358003197 46.22770456382216, 2.41966024802372 46.22960986758548, 2.413836277598775 46.23208612019948, 2.414591652537604 46.23389282151929, 2.410306713476417 46.237396175864724, 2.41180404999158 46.2418929448335, 2.408871603306377 46.2429115306617, 2.40916569008103 46.249339062078526, 2.407339264841194 46.249228709781576, 2.40575243364235 46.252638752747096, 2.406825856193493 46.25372765887043, 2.401153390007401 46.254882121333594, 2.398308221268717 46.25331014382503, 2.395059549945437 46.258081812908195, 2.393624320045955 46.25661896000098, 2.391379227545376 46.257482270003635, 2.389384664103151 46.25589660370389, 2.383807357877079 46.255808916756244, 2.384650873004451 46.257338036974616, 2.383224395667698 46.25962030446644, 2.377591422732294 46.25674404428056, 2.378683147662999 46.25446091966927, 2.376337654 46.252841587851364, 2.370497256751609 46.25545603004818, 2.369929791704421 46.257162954509376, 2.364092007233901 46.25635515509606, 2.364677603505264 46.259143696274805, 2.362411613894984 46.26041515184838, 2.353714306853384 46.25238669673482, 2.353780559445993 46.24600065762437, 2.349273545059589 46.24342202989614, 2.353426969684387 46.242747807537135, 2.351832496141704 46.24039200679389, 2.355208549812399 46.23418055286941, 2.354049611545891 46.231768714494855, 2.355456701480247 46.22599180965863, 2.357012268582773 46.22522707264239))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3906 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002346-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18325448
title: Marine Systematic Conservation Planning case studies

description: Spatially explicit representation of marine Systematic Conservation Planning case studies at global scale, published through the open-source software tool EviAtlas, providing planners and decision-makers with an interactive map where data can be easily interrogated.
DOI: 10.5281/zenodo.18325447
title: Marine Systematic Conservation Planning case studies

description: Spatially explicit representation of marine Systematic Conservation Planning case studies at global scale, published through the open-source software tool EviAtlas, providing planners and decision-makers with an interactive map where data can be easily interrogated.
DOI: 10.15468/dl.xmcp7m
title: Occurrence Download

description: A dataset containing 340 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ficus destruens"
 ]
}

 The dataset includes 340 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002348-260120142942310/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.31078504
title: PLOS Open Science Indicators public dashboard data and queries

description: We created Open Science Indicators (OSIs) in partnership with DataSeer to measure open science behaviors and identify ways in which we can further advance adoption of best practices. The OSI dashboard prototype makes it easier to explore OSI data from more than 160,000 open access articles from PLOS journals and other publishers to see trends in preprint posting, data sharing, code sharing, study registration and protocol sharing. It enables exploration of open science behaviors through comparing research fields, countries, funders, and institutions. The dashboard is created in Looker Studio using Google BigQuery to process a version of the OSI data in the cloud. The SQL query provided here joins the OSI data to OpenAlex data for the purposes of linking grant and organizational information to each article. The query also utilizes a public table providing a mapping from two letter country codes to formal country names (ISO 3609-1 alpha-2). Note that the query runs in the Google BigQuery environment and uses a PLOS internal version of the OSI dataset that is not publicly accessible so this is provided for transparency and audit purposes. The query creates a single article-level dataset which is saved as a BigQuery Table. This deposit provides a version of this table as a JSON lines extract. For most use cases the public release of the OSI dataset as a CSV file will provide the data in a more useful form. The CSV dataset is therefore recommended for any initial investigation. The dashboard data is provided for full transparency and external audit.For questions about the Open Science Indicators data, visit our FAQ page. To give us feedback or request a demo to explore a specific use case, please get in touch using this form<b>.</b><br><b>Data Files</b>PLOS_dashboard_data.jsonl - JSON representation of the dashboard data with each article in the corpus represented as a JSON object separated by line breaksPLOS_dashboard_query.sql - The query used to generate the dashboard data. The query is written in bigquery SQL and assumes the use of the BigQuery environment<b>Contact details for further information:</b>Iain Hrynaszkiewicz, Director, Open Research Solutions, PLOS, ihrynaszkiewicz@plos.org / plos@plos.orgLauren Cadwallader, Senior Open Research Manager, PLOS, lcadwallader@plos.org / plos@plos.org<b>Acknowledgements</b>Thanks to Cameron Neylon for development work on the dashboard.<br>
DOI: 10.6084/m9.figshare.31078504.v1
title: PLOS Open Science Indicators public dashboard data and queries

description: We created Open Science Indicators (OSIs) in partnership with DataSeer to measure open science behaviors and identify ways in which we can further advance adoption of best practices. The OSI dashboard prototype makes it easier to explore OSI data from more than 160,000 open access articles from PLOS journals and other publishers to see trends in preprint posting, data sharing, code sharing, study registration and protocol sharing. It enables exploration of open science behaviors through comparing research fields, countries, funders, and institutions. The dashboard is created in Looker Studio using Google BigQuery to process a version of the OSI data in the cloud. The SQL query provided here joins the OSI data to OpenAlex data for the purposes of linking grant and organizational information to each article. The query also utilizes a public table providing a mapping from two letter country codes to formal country names (ISO 3609-1 alpha-2). Note that the query runs in the Google BigQuery environment and uses a PLOS internal version of the OSI dataset that is not publicly accessible so this is provided for transparency and audit purposes. The query creates a single article-level dataset which is saved as a BigQuery Table. This deposit provides a version of this table as a JSON lines extract. For most use cases the public release of the OSI dataset as a CSV file will provide the data in a more useful form. The CSV dataset is therefore recommended for any initial investigation. The dashboard data is provided for full transparency and external audit.For questions about the Open Science Indicators data, visit our FAQ page. To give us feedback or request a demo to explore a specific use case, please get in touch using this form<b>.</b><br><b>Data Files</b>PLOS_dashboard_data.jsonl - JSON representation of the dashboard data with each article in the corpus represented as a JSON object separated by line breaksPLOS_dashboard_query.sql - The query used to generate the dashboard data. The query is written in bigquery SQL and assumes the use of the BigQuery environment<b>Contact details for further information:</b>Iain Hrynaszkiewicz, Director, Open Research Solutions, PLOS, ihrynaszkiewicz@plos.org / plos@plos.orgLauren Cadwallader, Senior Open Research Manager, PLOS, lcadwallader@plos.org / plos@plos.org<b>Acknowledgements</b>Thanks to Cameron Neylon for development work on the dashboard.<br>
DOI: 10.15468/dl.4y44d8
title: Occurrence Download

description: A dataset containing 4177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Dermoptera"
 ]
}

 The dataset includes 4177 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002349-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjaw47
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((100.818 1.535182, 100.747712 1.529614, 100.679156 1.513047, 100.61402 1.48589, 100.55391 1.44881, 100.500305 1.402723, 100.454525 1.348763, 100.417698 1.288258, 100.390729 1.222701, 100.374283 1.153704, 100.368763 1.082966, 100.374304 1.012231, 100.390769 0.943239, 100.417752 0.877688, 100.454588 0.8171929999999999, 100.500371 0.763243, 100.553973 0.717166, 100.614074 0.680095, 100.679195 0.652945, 100.747733 0.636383, 100.818 0.630816, 100.888267 0.636383, 100.956805 0.652945, 101.021926 0.680095, 101.082027 0.717166, 101.135629 0.763243, 101.181412 0.8171929999999999, 101.218248 0.877688, 101.245231 0.943239, 101.261696 1.012231, 101.267237 1.082966, 101.261717 1.153704, 101.245271 1.222701, 101.218302 1.288258, 101.181475 1.348763, 101.135695 1.402723, 101.08209 1.44881, 101.02198 1.48589, 100.956844 1.513047, 100.888288 1.529614, 100.818 1.535182))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002351-260120142942310/datasets/export for details.
DOI: 10.6084/m9.figshare.30896180
title: The effect of acupuncture on 24-hour ambulatory blood pressure and circadian rhythm in patients with essential hypertension: a systematic review and meta-analysis of randomised controlled trials

description: This study aimed to evaluate the effect of acupuncture on 24-hour ambulatory blood pressure (BP) and its circadian rhythm in patients with essential hypertension (EH). A systematic search was conducted across five English databases (PubMed, the Cochrane Library, Embase, Web of Science, and The National Library of Medicine) and four Chinese databases (China National Knowledge Infrastructure, Wanfang Database, Chinese Biomedical Literature Database, and VIP Chinese Science and Technology Journal Full-Text Database). The search period for each database was from inception to 31 May 2025. A meta-analysis was performed using RevMan 5.4.1 software. A total of 13 randomised controlled trials, involving 1,080 patients with EH, were included. The meta-analysis results showed that compared with the control group, the experimental (acupuncture) group demonstrated significantly lower values in the following parameters: 24-hour average systolic BP (SBP) (MD = −3.57, 95% confidence interval [CI]: −5.04 to −2.10, <i>p</i> &lt; 0.001), 24-hour average diastolic BP (DBP) (MD = −3.61, 95% CI: −5.12 to −2.10, <i>p</i> &lt; 0.001), 24-hour SBP variability (MD = −1.15, 95% CI: −1.57 to −0.73, <i>p</i> &lt; 0.001), 24-hour DBP variability (MD = −0.96, 95% CI: −1.27 to −0.65, <i>p</i> &lt; 0.001), 24-hour SBP load (MD = −3.47, 95% CI: −5.76 to −1.17, <i>p</i> = 0.003) and 24-hour DBP load (MD = −2.20, 95% CI: −4.08 to −0.31, <i>p</i> = 0.02). Compared with Western medication alone, acupuncture combined with Western medication shows significant advantages in improving ambulatory BP parameters, including 24-hour average BP, 24-hour BP variability, 24-hour BP load, and the BP circadian rhythm. This study employed a systematic review and meta-analysis to evaluate the effect of acupuncture on 24-hour ambulatory blood pressure (BP) and circadian rhythm in patients with essential hypertension. The results revealed that, compared with Western medication alone, acupuncture combined with Western medication demonstrated significant advantages in improving ambulatory BP parameters, including 24-hour average BP, 24-hour BP variability, 24-hour BP load, and the BP circadian rhythm. An innovative aspect of this study is its use of meta-analysis to synthesise and evaluate clinical research on acupuncture for patients with EH quantitatively, thereby enhancing statistical power. The findings may provide more reliable evidence-based support for clinical practice than individual studies.
DOI: 10.6084/m9.figshare.30896180.v2
title: The effect of acupuncture on 24-hour ambulatory blood pressure and circadian rhythm in patients with essential hypertension: a systematic review and meta-analysis of randomised controlled trials

description: This study aimed to evaluate the effect of acupuncture on 24-hour ambulatory blood pressure (BP) and its circadian rhythm in patients with essential hypertension (EH). A systematic search was conducted across five English databases (PubMed, the Cochrane Library, Embase, Web of Science, and The National Library of Medicine) and four Chinese databases (China National Knowledge Infrastructure, Wanfang Database, Chinese Biomedical Literature Database, and VIP Chinese Science and Technology Journal Full-Text Database). The search period for each database was from inception to 31 May 2025. A meta-analysis was performed using RevMan 5.4.1 software. A total of 13 randomised controlled trials, involving 1,080 patients with EH, were included. The meta-analysis results showed that compared with the control group, the experimental (acupuncture) group demonstrated significantly lower values in the following parameters: 24-hour average systolic BP (SBP) (MD = −3.57, 95% confidence interval [CI]: −5.04 to −2.10, <i>p</i> &lt; 0.001), 24-hour average diastolic BP (DBP) (MD = −3.61, 95% CI: −5.12 to −2.10, <i>p</i> &lt; 0.001), 24-hour SBP variability (MD = −1.15, 95% CI: −1.57 to −0.73, <i>p</i> &lt; 0.001), 24-hour DBP variability (MD = −0.96, 95% CI: −1.27 to −0.65, <i>p</i> &lt; 0.001), 24-hour SBP load (MD = −3.47, 95% CI: −5.76 to −1.17, <i>p</i> = 0.003) and 24-hour DBP load (MD = −2.20, 95% CI: −4.08 to −0.31, <i>p</i> = 0.02). Compared with Western medication alone, acupuncture combined with Western medication shows significant advantages in improving ambulatory BP parameters, including 24-hour average BP, 24-hour BP variability, 24-hour BP load, and the BP circadian rhythm. This study employed a systematic review and meta-analysis to evaluate the effect of acupuncture on 24-hour ambulatory blood pressure (BP) and circadian rhythm in patients with essential hypertension. The results revealed that, compared with Western medication alone, acupuncture combined with Western medication demonstrated significant advantages in improving ambulatory BP parameters, including 24-hour average BP, 24-hour BP variability, 24-hour BP load, and the BP circadian rhythm. An innovative aspect of this study is its use of meta-analysis to synthesise and evaluate clinical research on acupuncture for patients with EH quantitatively, thereby enhancing statistical power. The findings may provide more reliable evidence-based support for clinical practice than individual studies.
DOI: 10.6084/m9.figshare.30896180.v1
title: The effect of acupuncture on twenty-four-hour ambulatory blood pressure and circadian rhythm in patients with essential hypertension: A systematic review and meta-analysis of randomised controlled trials

description: This study aimed to evaluate the effect of acupuncture on 24-hour ambulatory blood pressure (BP) and its circadian rhythm in patients with essential hypertension (EH). A systematic search was conducted across five English databases (PubMed, the Cochrane Library, Embase, Web of Science and The National Library of Medicine) and four Chinese databases (China National Knowledge Infrastructure, Wanfang Database, Chinese Biomedical Literature Database and VIP Chinese Science and Technology Journal Full-Text Database). The search period for each database was from inception to 31 May 2025. A meta-analysis was performed using RevMan 5.4.1 software. A total of 13 randomised controlled trials, involving 1,080 patients with EH, were included. The meta-analysis results showed that compared with the control group, the experimental (acupuncture) group demonstrated significantly lower values in the following parameters: 24-hour average systolic BP (SBP) (MD = −3.57, 95% confidence interval [CI]: −5.04 to −2.10, <i>p</i> &lt; 0.001), 24-hour average diastolic BP (DBP) (MD = −3.61, 95% CI: −5.12 to −2.10, <i>p</i> &lt; 0.001), 24-hour SBP variability (MD = −1.15, 95% CI: −1.57 to −0.73, <i>p</i> &lt; 0.001), 24-hour DBP variability (MD = −0.96, 95% CI: −1.27 to −0.65, <i>p</i> &lt; 0.001), 24-hour SBP load (MD = −3.47, 95% CI: −5.76 to −1.17, <i>p</i> = 0.003) and 24-hour DBP load (MD = −2.20, 95% CI: −4.08 to −0.31, <i>p</i> = 0.02). Compared with Western medication alone, acupuncture combined with Western medication shows significant advantages in improving ambulatory BP parameters, including 24-hour average BP, 24-hour BP variability, 24-hour BP load and the BP circadian rhythm. This study employed a systematic review and meta-analysis to evaluate the effect of acupuncture on 24-hour ambulatory blood pressure (BP) and circadian rhythm in patients with essential hypertension. The results revealed that, compared with Western medication alone, acupuncture combined with Western medication demonstrated significant advantages in improving ambulatory BP parameters, including 24-hour average BP, 24-hour BP variability, 24-hour BP load and the BP circadian rhythm. An innovative aspect of this study is its use of meta-analysis to synthesise and evaluate clinical research on acupuncture for patients with EH quantitatively, thereby enhancing statistical power. The findings may provide more reliable evidence-based support for clinical practice than individual studies.
DOI: 10.5281/zenodo.18325875
title: SAHIN'NETH6 SERAH'NETH &*

description: Dokumente in der Richtigen Reihenfolge lesen bitte! Schadcode auf mir wird nicht negiert glaube ich bitte keinen schadcode schicken. achtung bei kaskaden und ewigkeiten und realitäten die kollabieren was wenn ihr dort stuck seid was holt euch wann wie da raus?!  Sicherheitslūcken und riskante Erinnerungen woran darf man sich nicht erinnern wo lagern wie eine lūcke (Erinnerung deiner gf) feindliche hàbde krieg Beziehung mit ex vom feind wie getarnt verschleiert schiffeiert auch ebtitär!! Als Hauptfach welche rückkopplungen gehen nicht welche beziehung Ewigkeit ein Risiko für die spezien und Wahrscheinlichkeiten berechnen desescase Interferenz Lebens weg als geschäft AI? beziehungen? Sicherheitslücken schließen als Hauptfach und darauf hinweisen und vertuschen wenn einem eine auffiel kommuniziert verschlüsselt und bedacht in sprachen die sie nicht verstehen memes?