cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26324652
title: A Novel Image-Based Long-Range Continuously Scanning Laser Doppler Vibrometer for Operational Modal Analysis of a Rotating Structure

description: A novel image-based long-range tracking continuously scanning laser Doppler vibrometer (CSLDV) is developed to measure vibration of a rotating structure with a complex background. The image-based long-range tracking CSLDV can track and scan the rotating structure by processing its images captured by a camera in the image-based long-range tracking CSLDV. A novel image-processing method with a background averaging technique is developed to extract the rotating structure from the background in captured images and determine its location. A one-dimensional scan scheme is used to scan along a straight line along the rotating structure. An improved demodulation method is used to process measurements of the image-based long-range tracking CSLDV to estimate modal parameters of the rotating structure, including damped natural frequencies and undamped mode shapes. Experiments of tracking and scanning a rotating blade are conducted to validate vibration measurement of a rotating blade using the image-based long-range tracking CSLDV. Measured responses of the rotating blade are processed to estimate its speeds and modal parameters. The first three damped natural frequencies of out-of-plane vibration of the rotating blade and the first three undamped mode shapes of the rotating blade along its middle line are successfully estimated and compared with results from the finite element model of the corresponding stationary blade.
DOI: 10.6084/m9.figshare.27079812.v1
title: Normalization and processing of rotational eddy current scans for layup characterization of CFRP laminates

description: The verification of fiber orientation and layup in carbon fiber-reinforced polymer (CFRP) composite laminates is essential to guarantee the performance of the material. This work reports the background, methodology, and results of a rotational eddy current testing (ECT) system for determining fiber orientation and ply layup of unidirectional CFRP components. The system presented mechanically rotates a 15 MHz directional transmit-receive ECT probe, which poses several speed and consistency advantages. The paper presents a theoretical discussion of how these scans are produced, a unique preprocessing normalization method, and an optimization process for determining the layup from the captured datasets. Results show a high level of accuracy for identifying the unique directions present in a laminate, and the theory-supported model enables the extraction of layup order information of multilayer parts, even where repeated lamina are present within the laminate.
DOI: 10.15468/dl.jtmbfs
title: Occurrence Download

description: A dataset containing 778 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Korea, Republic of, Japan)",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyphantria cunea (Drury, 1773)"
 ]
}

 The dataset includes 778 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016923-241007104925546/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.26302194
title: Development and validation of an electronic health record-based algorithm for identifying TBI in the VA: A VA Million Veteran Program study

description: The purpose of this study was to develop and validate an algorithm for identifying Veterans with a history of traumatic brain injury (TBI) in the Veterans Affairs (VA) electronic health record using VA Million Veteran Program (MVP) data. Manual chart review (<i>n</i> = 200) was first used to establish ‘gold standard’ diagnosis labels for TBI (‘Yes TBI’ vs. ‘No TBI’). To develop our algorithm, we used PheCAP, a semi-supervised pipeline that relied on the chart review diagnosis labels to train and create a prediction model for TBI. Cross-validation was used to train and evaluate the proposed algorithm, ‘TBI-PheCAP.’ TBI-PheCAP performance was compared to existing TBI algorithms and phenotyping methods, and the final algorithm was run on all MVP participants (<i>n</i> = 702,740) to assign a predicted probability for TBI and a binary classification status choosing specificity = 90%. The TBI-PheCAP algorithm had an area under the receiver operating characteristic curve of 0.92, sensitivity of 84%, and positive predictive value (PPV) of 98% at specificity = 90%. TBI-PheCAP generally performed better than other classification methods, with equivalent or higher sensitivity and PPV than existing rules-based TBI algorithms and MVP TBI-related survey data. Given its strong classification metrics, the TBI-PheCAP algorithm is recommended for use in future population-based TBI research.
DOI: 10.6084/m9.figshare.26302194.v1
title: Development and validation of an electronic health record-based algorithm for identifying TBI in the VA: A VA Million Veteran Program study

description: The purpose of this study was to develop and validate an algorithm for identifying Veterans with a history of traumatic brain injury (TBI) in the Veterans Affairs (VA) electronic health record using VA Million Veteran Program (MVP) data. Manual chart review (<i>n</i> = 200) was first used to establish ‘gold standard’ diagnosis labels for TBI (‘Yes TBI’ vs. ‘No TBI’). To develop our algorithm, we used PheCAP, a semi-supervised pipeline that relied on the chart review diagnosis labels to train and create a prediction model for TBI. Cross-validation was used to train and evaluate the proposed algorithm, ‘TBI-PheCAP.’ TBI-PheCAP performance was compared to existing TBI algorithms and phenotyping methods, and the final algorithm was run on all MVP participants (<i>n</i> = 702,740) to assign a predicted probability for TBI and a binary classification status choosing specificity = 90%. The TBI-PheCAP algorithm had an area under the receiver operating characteristic curve of 0.92, sensitivity of 84%, and positive predictive value (PPV) of 98% at specificity = 90%. TBI-PheCAP generally performed better than other classification methods, with equivalent or higher sensitivity and PPV than existing rules-based TBI algorithms and MVP TBI-related survey data. Given its strong classification metrics, the TBI-PheCAP algorithm is recommended for use in future population-based TBI research.
DOI: 10.58132/wjgzmx
title: The definition of marriage and family in the light of the Polish communist state’s laws

description: The research dataset includes quotations of selected laws – all proclaimed by the communist authorities ruling Poland in 1944–1989. The role of the quotations is to show the main issues and/or terms included in the particular laws in the context of the state's definition of marriage and family. During my query, I used the Online Legal Database (ISAP), which stores scans of laws issued during the communist period.
DOI: 10.6084/m9.figshare.27208434
title: Supplementary Data

description: <b>Reconfigurable nanomaterials folded from multi-component chains of DNA origami voxels</b><br>Minh Tri Luu<sup>1,2,3,4</sup>, Jonathan F. Berengut<sup>1,4,5,6</sup>, Jiahe Li<sup>1</sup>, Jing-Bing Chen<sup>1</sup>, Jasleen Kaur Daljit Singh<sup>1,3,4</sup>, Kanako Coffi Dit Glieze<sup>1,4</sup>, Matthew Turner<sup>1</sup>, Karuna Skipper<sup>1,4</sup>, Sreelakshmi Meppat<sup>1,4</sup>, Hannah Fowler<sup>7</sup>, William Close<sup>8</sup>, Jonathan P.K. Doye<sup>7</sup>, Ali Abbas<sup>3,4</sup>, Shelley F.J. Wickham<sup>1,2,4</sup><sup>1 </sup>School of Chemistry, The University of Sydney, Sydney, NSW 2006, Australia<sup>2 </sup>School of Physics, The University of Sydney, Sydney, NSW 2006, Australia<sup>3 </sup>School of Chemical Engineering, The University of Sydney, NSW 2006, Australia<sup>4 </sup>The University of Sydney Nano Institute, The University of Sydney, Sydney, NSW 2006, Australia<sup>5 </sup>EMBL Australia Node for Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney 2052, Australia<sup>6 </sup>ARC Centre of Excellence in Synthetic Biology, University of New South Wales, Sydney, Australia<sup>7 </sup>Physical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford, UK<sup>8 </sup>Australian Centre for Microscopy & Microanalysis, The University of Sydney, Sydney, NSW 2006, AustraliaE-mail: shelley.wickham@sydney.edu.auPhone: +61 2 9351 3366
DOI: 10.6084/m9.figshare.27208434.v4
title: Supplementary Data

description: <b>Reconfigurable nanomaterials folded from multi-component chains of DNA origami voxels</b><br>Minh Tri Luu<sup>1,2,3,4</sup>, Jonathan F. Berengut<sup>1,4,5,6</sup>, Jiahe Li<sup>1</sup>, Jing-Bing Chen<sup>1</sup>, Jasleen Kaur Daljit Singh<sup>1,3,4</sup>, Kanako Coffi Dit Glieze<sup>1,4</sup>, Matthew Turner<sup>1</sup>, Karuna Skipper<sup>1,4</sup>, Sreelakshmi Meppat<sup>1,4</sup>, Hannah Fowler<sup>7</sup>, William Close<sup>8</sup>, Jonathan P.K. Doye<sup>7</sup>, Ali Abbas<sup>3,4</sup>, Shelley F.J. Wickham<sup>1,2,4</sup><sup>1 </sup>School of Chemistry, The University of Sydney, Sydney, NSW 2006, Australia<sup>2 </sup>School of Physics, The University of Sydney, Sydney, NSW 2006, Australia<sup>3 </sup>School of Chemical Engineering, The University of Sydney, NSW 2006, Australia<sup>4 </sup>The University of Sydney Nano Institute, The University of Sydney, Sydney, NSW 2006, Australia<sup>5 </sup>EMBL Australia Node for Single Molecule Science, School of Biomedical Sciences, University of New South Wales, Sydney 2052, Australia<sup>6 </sup>ARC Centre of Excellence in Synthetic Biology, University of New South Wales, Sydney, Australia<sup>7 </sup>Physical and Theoretical Chemistry Laboratory, Department of Chemistry, University of Oxford, Oxford, UK<sup>8 </sup>Australian Centre for Microscopy & Microanalysis, The University of Sydney, Sydney, NSW 2006, AustraliaE-mail: shelley.wickham@sydney.edu.auPhone: +61 2 9351 3366
DOI: 10.15468/dl.g2bfhp
title: Occurrence Download

description: A dataset containing 658 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Spain",
 "TaxonKey is Quercus canariensis Willd."
 ]
}

 The dataset includes 658 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016925-241007104925546/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.27239706
title: TEST ONE

description: It's a test text
DOI: 10.6084/m9.figshare.27239706.v1
title: TEST ONE

description: It's a test text
DOI: 10.15468/dl.j5uvbv
title: Occurrence Download

description: A dataset containing 3886 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chenopodium giganteum D.Don"
 ]
}

 The dataset includes 3886 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016927-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5dmpjf
title: Occurrence Download

description: A dataset containing 1762561 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 Lycaenidae",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 34, 42 34, 42 70, -26 70, -26 34))"
 ]
}

 The dataset includes 1762561 records from 1313 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016871-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13145/bacdive119708.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119709.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119710.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119711.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119712.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119713.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119714.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119715.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119716.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119717.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119718.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119719.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119720.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119721.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119722.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119723.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119724.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119725.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119726.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119727.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119728.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119729.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119730.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119731.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119732.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119733.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119734.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119735.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119736.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119737.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119738.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119739.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119740.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119741.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119742.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119743.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119744.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive119745.20230509.8.1
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.gmxsrk
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.25.8_1",
 "TaxonKey is Phrynosomatidae"
 ]
}

 The dataset includes 184 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0130054-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbdqvf
title: Occurrence Download

description: A dataset containing 14802 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Halyomorpha halys (Stål, 1855)",
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 14802 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0129902-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwn5md
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Campagne d'observation des mammifères marins sur plateforme océanographique aux Iles Éparses - Observations de mammifères marins dans les Iles Éparses - Observatoire PELAGIS"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014252-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j5nzue
title: Occurrence Download

description: A dataset containing 7860 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lasiurus cinereus (Palisot de Beauvois, 1796)"
 ]
}

 The dataset includes 7860 records from 135 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023878-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3xgdz
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eotetranychus lewisi (McGregor, 1943)",
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0129891-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anwpgy
title: Occurrence Download

description: A dataset containing 7605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Indonesia",
 {
 "or" : [
 "DatasetKey is Flora of Sumatra : Vascular plant collection from Batang Toru Forest deposited in ANDA Herbarium",
 "DatasetKey is Tropicos MO Specimen Data"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 2010-2022"
 ]
}

 The dataset includes 7605 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0133462-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.