cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29311685
title: Supplementary Material for: Asymptomatic intracranial vascular lesions and cognitive function in a general population of Japanese men: Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA)

description: Abstract
Introduction 
Intracranial subclinical vessel diseases are considered important indicators of cognitive impairment. However, a comprehensive assessment of various types of vessel disease, particularly in Asian populations, is lacking. We aimed to compare multiple types of intracranial vessel disease in association with cognitive function among a community-based Japanese male population. 

Methods 
The Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA) randomly recruited and examined a community-based cohort of Japanese men from Shiga, Japan. We analyzed those who underwent the Cognitive Abilities Screening Instrument (CASI) assessment and cranial magnetic resonance imaging/angiogram (MRI/MRA) in 2010–2015. Using MRI/MRA, we assessed lacunar infarction, microbleeds, periventricular hyperintensity (PVH), deep and subcortical white matter hyperintensity (DSWMH), and intracranial artery stenosis (ICAS). We divided these subclinical cerebrovascular diseases (SCDs) into three categories according to severity. Using linear regression, we calculated the CASI score according to the grade of each vessel disease, adjusted for age and years of education. 

Results
In the adjusted models, CASI scores were significantly associated with both PVH and DSWMH. Specifically, multivariable-adjusted CASI scores declined across increasing severity categories of DSWMH (91.7, 91.2, and 90.4; P for trend = 0.011) and PVH (91.5, 90.4, and 89.7; P for trend = 0.006). Other SCDs did not show significant associations. In stratified analyses based on the presence or absence of each SCD, both DSWMH and PVH demonstrated significant inverse trends with CASI scores in the absence of lacunar infarcts and microbleeds and in the presence of ICAS. Additionally, among participants with PVH (+), ≥Moderate ICAS was significantly associated with lower CASI scores.

Conclusions 
PVH and DSWMH showed significant dose-response relationships with cognitive function among community-based Japanese men. These findings suggest that white matter lesions may be an important indicator of early cognitive impairment, and severe ICAS may also play a role in those with PVH.
DOI: 10.6084/m9.figshare.29311685.v1
title: Supplementary Material for: Asymptomatic intracranial vascular lesions and cognitive function in a general population of Japanese men: Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA)

description: Abstract
Introduction 
Intracranial subclinical vessel diseases are considered important indicators of cognitive impairment. However, a comprehensive assessment of various types of vessel disease, particularly in Asian populations, is lacking. We aimed to compare multiple types of intracranial vessel disease in association with cognitive function among a community-based Japanese male population. 

Methods 
The Shiga Epidemiological Study of Subclinical Atherosclerosis (SESSA) randomly recruited and examined a community-based cohort of Japanese men from Shiga, Japan. We analyzed those who underwent the Cognitive Abilities Screening Instrument (CASI) assessment and cranial magnetic resonance imaging/angiogram (MRI/MRA) in 2010–2015. Using MRI/MRA, we assessed lacunar infarction, microbleeds, periventricular hyperintensity (PVH), deep and subcortical white matter hyperintensity (DSWMH), and intracranial artery stenosis (ICAS). We divided these subclinical cerebrovascular diseases (SCDs) into three categories according to severity. Using linear regression, we calculated the CASI score according to the grade of each vessel disease, adjusted for age and years of education. 

Results
In the adjusted models, CASI scores were significantly associated with both PVH and DSWMH. Specifically, multivariable-adjusted CASI scores declined across increasing severity categories of DSWMH (91.7, 91.2, and 90.4; P for trend = 0.011) and PVH (91.5, 90.4, and 89.7; P for trend = 0.006). Other SCDs did not show significant associations. In stratified analyses based on the presence or absence of each SCD, both DSWMH and PVH demonstrated significant inverse trends with CASI scores in the absence of lacunar infarcts and microbleeds and in the presence of ICAS. Additionally, among participants with PVH (+), ≥Moderate ICAS was significantly associated with lower CASI scores.

Conclusions 
PVH and DSWMH showed significant dose-response relationships with cognitive function among community-based Japanese men. These findings suggest that white matter lesions may be an important indicator of early cognitive impairment, and severe ICAS may also play a role in those with PVH.
DOI: 10.15468/dl.fweayy
title: Occurrence Download

description: A dataset containing 965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.34955 8.69394,-73.87288 8.69394,-73.87288 11.37118,-76.34955 11.37118,-76.34955 8.69394))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Selenicereus costaricensis (F.A.C.Weber) S.Arias & N.Korotkova, Acanthocereus tetragonus (L.) Hummelinck, Astrothelium nitidiusculum (Nyl.) Aptroot & Lücking, Phyllopsora corallina (Eschw.) Müll.Arg., Physcia stellaris (L.) Nyl., Phaeophyscia orbicularis (Neck.) Moberg, Opegrapha viridis (Ach.) Behlen & Desberger, Bactrospora denticulata (Vain.) Egea & Torrente, Graphis pinicola Zahlbr., 1930, Graphis malacodes Nyl., Graphis dendrogramma Nyl., 1877, Candelariella vitellina (Hoffm.) Müll.Arg., Cryptothecia scripta G.Thor, Arthonia conferta (Fée) Nyl., 1857, Arthonia complanata Fée, Marchantia chenopoda L., Myriocoleopsis minutissima (Sm.) R.L.Zhu, Y.Yu & Pócs)"
 ]
}

 The dataset includes 965 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041888-250525065834625/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.29311688
title: Supplementary Material for: A Pipeline for the Automatic Identification of Randomized Controlled Oncology Trials and Assignment of Tumor Entities Using Natural Language Processing

description: Background: Most tools trying to automatically extract information from medical publications are domain agnostic and process publications from any field. However, only retrieving trials from dedicated fields could have advantages for further processing of the data.
Methods: We trained a small transformer model to classify trials into randomized controlled trials (RCTs) vs. non-RCTs and oncology publications vs. non-oncology publications. In addition, we used two large language models (GPT-4o and GPT-4o mini) for the same task. We assessed the performance of the three models and then developed a simple set of rules to extract the tumor entity from the retrieved oncology RCTs.
Results: On the unseen test set consisting of 100 publications, the small transformer achieved an F1-score of 0.96 (95% CI: 0.92 - 1.00) with a precision of 1.00 and a recall of 0.92 for predicting whether a publication was an RCT. For predicting whether a publication covered an oncology topic, the F1-score was 0.84 (0.77 - 0.91) with a precision of 0.75 and a recall of 0.95. GPT-4o achieved an F1-score of 0.94 (95% CI: 0.90 - 0.99) with a precision of 0.89 and a recall of 1.00 for predicting whether a publication was an RCT. For predicting whether a publication covered an oncology topic the F1-score was 0.91 (0.85 - 0.97) with a precision of 0.91 and a recall of 0.91.
The rule-based system was able to correctly assign every oncology RCT in the test set to a tumor entity.
Conclusion: In conclusion, classifying publications depending on whether they were randomized controlled oncology trials or not was feasible and enabled further processing using more specialized tools such as rule-based systems and potentially dedicated machine learning models.
DOI: 10.6084/m9.figshare.29311688.v1
title: Supplementary Material for: A Pipeline for the Automatic Identification of Randomized Controlled Oncology Trials and Assignment of Tumor Entities Using Natural Language Processing

description: Background: Most tools trying to automatically extract information from medical publications are domain agnostic and process publications from any field. However, only retrieving trials from dedicated fields could have advantages for further processing of the data.
Methods: We trained a small transformer model to classify trials into randomized controlled trials (RCTs) vs. non-RCTs and oncology publications vs. non-oncology publications. In addition, we used two large language models (GPT-4o and GPT-4o mini) for the same task. We assessed the performance of the three models and then developed a simple set of rules to extract the tumor entity from the retrieved oncology RCTs.
Results: On the unseen test set consisting of 100 publications, the small transformer achieved an F1-score of 0.96 (95% CI: 0.92 - 1.00) with a precision of 1.00 and a recall of 0.92 for predicting whether a publication was an RCT. For predicting whether a publication covered an oncology topic, the F1-score was 0.84 (0.77 - 0.91) with a precision of 0.75 and a recall of 0.95. GPT-4o achieved an F1-score of 0.94 (95% CI: 0.90 - 0.99) with a precision of 0.89 and a recall of 1.00 for predicting whether a publication was an RCT. For predicting whether a publication covered an oncology topic the F1-score was 0.91 (0.85 - 0.97) with a precision of 0.91 and a recall of 0.91.
The rule-based system was able to correctly assign every oncology RCT in the test set to a tumor entity.
Conclusion: In conclusion, classifying publications depending on whether they were randomized controlled oncology trials or not was feasible and enabled further processing using more specialized tools such as rule-based systems and potentially dedicated machine learning models.
DOI: 10.6084/m9.figshare.29311691
title: Supplementary Material for: Assessment of the Factors Influencing Early Detection Practices of Oral Carcinomas by Dentists: A Cross-Sectional Study

description: Introduction
Oral cancer (OC) is the second most common type of cancer in Pakistan, and early diagnosis can improve survival rates. However, 75% of these cases are diagnosed at an advanced stage. To reduce the incidence and mortality associated with OC, emphasis should be placed on the detailed screening of the oral cavity by dentists. Prevention and early detection practices are important because they increase five-year survival and reduce recurrence. This study aimed to assess the early detection practices of OC by dentists and determine the factors influencing their screening practices. 
Methods 
This cross-sectional study was conducted from June 1, 2022, to October 31, 2022, among 235 dentists from the public and private sectors of Islamabad, Pakistan. A validated survey questionnaire with 62 closed-ended items was used. The outcome variable “early detection practices of oral carcinomas” was measured on a scale of 0-8 based on the steps involved in the screening practices. Knowledge scores related to clinical presentation (0-14) and risk factors (0-16) of OC were generated by assigning one point to each correct response. Multivariate linear regression analysis was used to evaluate factors influencing early detection practice scores. 
Results 
81.7% of participants had low knowledge related to clinical presentation (mean score=7.5, SD=2.2), and 55.3% had high knowledge (mean score=10.4, SD=2.06) related to the risk factors of oral cancers. The mean score for practices related to the early detection of oral carcinomas was 5.4 (SD=2.04). The duration since attending professional development courses significantly predicted early detection practice scores (P&lt;0.001). With increasing duration, the early detection practice scores decreased. Moreover, “guidelines about OC examinations” significantly predicted practice scores (higher scores where written guidelines were present) (P&lt;0.001). 
Conclusion
This study highlights that the early detection of OC improves prognosis, reduces mortality, and minimizes treatment costs. These results emphasize regular professional development courses for the early detection of OC among dentists. This indicates that early detection practices are better in facilities with written guidelines, further emphasizing the need for comprehensive educational materials and training of dentists to improve screening practices. Healthcare authorities should put efforts into implementing a continuous dental education system tailored to the needs of dentists in Pakistan.
DOI: 10.6084/m9.figshare.29311691.v1
title: Supplementary Material for: Assessment of the Factors Influencing Early Detection Practices of Oral Carcinomas by Dentists: A Cross-Sectional Study

description: Introduction
Oral cancer (OC) is the second most common type of cancer in Pakistan, and early diagnosis can improve survival rates. However, 75% of these cases are diagnosed at an advanced stage. To reduce the incidence and mortality associated with OC, emphasis should be placed on the detailed screening of the oral cavity by dentists. Prevention and early detection practices are important because they increase five-year survival and reduce recurrence. This study aimed to assess the early detection practices of OC by dentists and determine the factors influencing their screening practices. 
Methods 
This cross-sectional study was conducted from June 1, 2022, to October 31, 2022, among 235 dentists from the public and private sectors of Islamabad, Pakistan. A validated survey questionnaire with 62 closed-ended items was used. The outcome variable “early detection practices of oral carcinomas” was measured on a scale of 0-8 based on the steps involved in the screening practices. Knowledge scores related to clinical presentation (0-14) and risk factors (0-16) of OC were generated by assigning one point to each correct response. Multivariate linear regression analysis was used to evaluate factors influencing early detection practice scores. 
Results 
81.7% of participants had low knowledge related to clinical presentation (mean score=7.5, SD=2.2), and 55.3% had high knowledge (mean score=10.4, SD=2.06) related to the risk factors of oral cancers. The mean score for practices related to the early detection of oral carcinomas was 5.4 (SD=2.04). The duration since attending professional development courses significantly predicted early detection practice scores (P&lt;0.001). With increasing duration, the early detection practice scores decreased. Moreover, “guidelines about OC examinations” significantly predicted practice scores (higher scores where written guidelines were present) (P&lt;0.001). 
Conclusion
This study highlights that the early detection of OC improves prognosis, reduces mortality, and minimizes treatment costs. These results emphasize regular professional development courses for the early detection of OC among dentists. This indicates that early detection practices are better in facilities with written guidelines, further emphasizing the need for comprehensive educational materials and training of dentists to improve screening practices. Healthcare authorities should put efforts into implementing a continuous dental education system tailored to the needs of dentists in Pakistan.
DOI: 10.15468/dl.3gyxs6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kyllinga polyphylla Willd. ex Kunth",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041889-250525065834625/datasets/export for details.
DOI: 10.15468/dl.jctszh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capartogramma H.Kufferath, 1956",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((27.1586 -33.5889,28.2048 -32.9007,25.5395 -32.9007,25.5395 -34.1098,25.6468 -34.1222,25.7787 -34.0734,25.7098 -33.9109,25.8639 -33.797,26.4806 -33.8473,27.1586 -33.5889))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041893-250525065834625/datasets/export for details.
DOI: 10.15468/dl.ujabba
title: Occurrence Download

description: A dataset containing 60243 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melitaea diamina (Lang, 1789)"
 ]
}

 The dataset includes 60243 records from 579 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041874-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mqzezc
title: Occurrence Download

description: A dataset containing 10039 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sciaenops ocellatus (Linnaeus, 1766)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 2005"
 ]
}

 The dataset includes 10039 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041892-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nwxawj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kyllinga polyphylla Willd. ex Kunth",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041895-250525065834625/datasets/export for details.
DOI: 10.15468/dl.cecy4k
title: Occurrence Download

description: A dataset containing 44215 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lycaena dispar (Haworth, 1803)"
 ]
}

 The dataset includes 44215 records from 796 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041894-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zxxdbv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Capartogramma H.Kufferath, 1956",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((18.2339 -32.5266,18.1411 -32.657,18.1007 -32.7021,18.0224 -32.6366,17.8923 -32.6419,17.754 -32.8255,17.7723 -32.9007,20.509 -32.9007,20.509 -28.5786,16.2782 -28.5786,16.4358 -28.7202,16.726 -29.1235,17.1957 -30.3752,17.6655 -31.1743,18.1322 -31.7679,18.2495 -32.2638,18.2339 -32.5266))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041896-250525065834625/datasets/export for details.
DOI: 10.15468/dl.p7reh8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kyllinga polyphylla Willd. ex Kunth",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.6372 -28.0032,16.2782 -28.5786,20.509 -28.5786,20.509 -24.0715,15.4933 -24.0715,15.4945 -24.1257,16.0509 -25.6631,15.6372 -28.0032))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041898-250525065834625/datasets/export for details.
DOI: 10.15468/dl.m6zvan
title: Occurrence Download

description: A dataset containing 1617531 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (santander)"
 ]
}

 The dataset includes 1617531 records from 664 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041867-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34816/ifao.archives.155886
title: ÉTIQUETTE DE JARRE IFAO - ODM 6079_nu_2012_06261

description: Référence : nu_2012_06261<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.15468/dl.5fmg6w
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sobralia lowii Rolfe"
 ]
}

 The dataset includes 15 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0135732-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-134430
title: Personal bibliography by Mihael Kuzmič; 1954 – 1999

description: [description english/roman)] A list of written and translated works by Mihael Kuzmič from the year 1954 to 1999.
DOI: 10.25582/data.2023-04.2787114/2339341
title: Data for EMSL Project 60066 from April 2023
DOI: 10.34816/ifao.archives.155887
title: ÉTIQUETTE DE JARRE IFAO - ODM 6079_nu_2012_06262

description: Référence : nu_2012_06262<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.155888
title: ÉTIQUETTE DE JARRE IFAO - ODM 6080_nb_1978_01684

description: Référence : nb_1978_01684<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.34816/ifao.archives.155889
title: ÉTIQUETTE DE JARRE IFAO - ODM 6080_nu_2012_06263

description: Référence : nu_2012_06263<br />Site : Deir el-Médina<br />Type : photographie<br />
DOI: 10.15468/dl.bq2cbq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Ips avulsus",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0122540-210914110416597/datasets/export for details.