cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e243992v1
title: NNDSS - Table II. Ehrlichiosis/Anaplasmosis

description: NNDSS - Table II. Ehrlichiosis/Anaplasmosis - 2016. In this Table, provisional* cases of selected† notifiable diseases (≥1,000 cases reported during the preceding year), and selected low frequency diseases are displayed. The Table includes total number of cases reported in the United States, by region and by states, in accordance with the current method of displaying MMWR data. Data on United States exclude counts from US territories.

Note:
These are provisional cases of selected national notifiable diseases, from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data reported by the 50 states, New York City, the District of Columbia, and the U.S. territories are collated and published weekly as numbered tables printed in the back of the Morbidity and Mortality Weekly Report (MMWR). Cases reported by state health departments to CDC for weekly publication are provisional because of ongoing revision of information and delayed reporting.

Case counts in this table are presented as they were published in the MMWR issues. Therefore, numbers listed in later MMWR weeks may reflect changes made to these counts as additional information becomes available.

Footnotes:
C.N.M.I.: Commonwealth of Northern Mariana Islands.
U: Unavailable. -: No reported cases. N: Not reportable. NN: Not Nationally Notifiable. NP: Nationally notifiable but not published. Cum: Cumulative year-to-date counts. Med: Median. Max: Maximum.

* Case counts for reporting year 2016 are provisional and subject to change. For further information on interpretation of these data, see http://wwwn.cdc.gov/nndss/document/ ProvisionalNationaNotifiableDiseasesSurveillanceData20100927.pdf. Data for TB are displayed in Table IV, which appears quarterly.
† Three low incidence conditions, rubella, rubella congenital, and tetanus, are in Table II to facilitate case count verification with reporting jurisdictions.
§ Please refer to the MMWR publication for weekly updates to the footnote for this condition.
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description: (Downloaded 1/12/2026)
DOI: 10.15468/dl.62ntu8
title: Occurrence Download

description: A dataset containing 24969 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lathamus discolor (Shaw, 1790)"
 ]
}

 The dataset includes 24969 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000322-250424135625364/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.24235513
title: Dataset.zip

description: Nutritional status and nutrient intake adequacy of Nursing and Midwifery students in Ghana
DOI: 10.6084/m9.figshare.24235513.v1
title: Raw data.zip

description: Nutritional status and nutrient intake adequacy of Nursing and Midwifery students in Ghana
DOI: 10.15468/dl.26we63
title: Occurrence Download

description: A dataset containing 89541 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dendrocincla fuliginosa (Vieillot, 1818)"
 ]
}

 The dataset includes 89541 records from 307 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000303-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dbwfrk
title: Occurrence Download

description: A dataset containing 22138 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 Gavia adamsii (G.R.Gray, 1859)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 22138 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029255-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21947/2386869
title: Lidar / Raw Data

description: This dataset contains raw data from DOE Buoy 140 deployed during WFIP3.
DOI: 10.6084/m9.figshare.28999259
title: Quantitative Assessment of Gene Expression Changes for Additional Vascular Junction Proteins in Cerebral Microvessels from Murine Brain Slices Cultured for 12- and 24-hours.

description: Quantitative assessment of gene expression changes for the heterocellular adhesion molecule N-cadherin (N-Cad/Cdh2), tight junction adapter molecule Zonula Occludens-1 (ZO-1/Tjp1), and Junctional Adhesion Molecule-3 (JAM3) in cerebral microvessels of murine brain slices cultures for 0 hours, 12 hours, or 24 hours in oxygenated artificial cerebral spinal fluid (aCSF).
DOI: 10.15468/dl.6c7ybp
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Phyllostachys edulis (Carrière) J.Houz.",
 "Year 2008-2025"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029257-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6ptgu
title: Occurrence Download

description: A dataset containing 33637 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sturnus vulgaris Linnaeus, 1758",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 33637 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029258-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.68pvac
title: Occurrence Download

description: A dataset containing 1198 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna y flora del municipio de Paipa, Boyacá"
 ]
}

 The dataset includes 1198 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029259-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdkn28
title: Occurrence Download

description: A dataset containing 84133 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Liquidambar styraciflua L."
 ]
}

 The dataset includes 84133 records from 552 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029254-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.paqeze
title: Occurrence Download

description: A dataset containing 9698613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Lao People’s Democratic Republic, Thailand, Malaysia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 9698613 records from 1496 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029248-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dce6j4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hippopotamyrus harringtoni)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085617-250717081556266/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.29328694
title: Thrombo-vera: a new thrombosis risk model for polycythemia vera using modern variable selection methods

description: Thrombosis is a major complication in polycythemia vera (PV), contributing to significant morbidity and mortality. This retrospective study aimed to develop a predictive model for thrombosis risk in PV patients using advanced statistical techniques. The study included 817 consecutive PV patients, with a median follow-up of 59 months. A Bayesian logistic regression model with sparsity-inducing R2D2 priors was used to predict thrombosis. Thrombotic events occurred in 13.2% of patients. The thrombosis group had significantly higher median neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), splenomegaly, cardiovascular risk factors, microvascular symptoms, pruritus, previous thrombosis, and Charlson Comorbidity Index (CCI) compared to the no-thrombosis group. Both groups were comparable in age. Multivariate regression analysis identified CCI, PLR, splenomegaly, and microvascular symptoms as key predictors of thrombosis. A clinical score, ThromboVera CS, was developed based on these predictors, classifying patients into low, moderate, or high-risk groups. In the low-risk group, 6.94% experienced thrombosis, compared to 15.76% in moderate-risk group and 48.78% in the high-risk group. The ThromboVera CS score is a reliable, easy-to-use tool for predicting thrombosis in PV patients. It can help clinicians identify those at high risk, enabling early intervention that could significantly improve patient outcomes by targeting nearly 50% of high-risk patients.
DOI: 10.6084/m9.figshare.29328694.v1
title: Thrombo-vera: a new thrombosis risk model for polycythemia vera using modern variable selection methods

description: Thrombosis is a major complication in polycythemia vera (PV), contributing to significant morbidity and mortality. This retrospective study aimed to develop a predictive model for thrombosis risk in PV patients using advanced statistical techniques. The study included 817 consecutive PV patients, with a median follow-up of 59 months. A Bayesian logistic regression model with sparsity-inducing R2D2 priors was used to predict thrombosis. Thrombotic events occurred in 13.2% of patients. The thrombosis group had significantly higher median neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), splenomegaly, cardiovascular risk factors, microvascular symptoms, pruritus, previous thrombosis, and Charlson Comorbidity Index (CCI) compared to the no-thrombosis group. Both groups were comparable in age. Multivariate regression analysis identified CCI, PLR, splenomegaly, and microvascular symptoms as key predictors of thrombosis. A clinical score, ThromboVera CS, was developed based on these predictors, classifying patients into low, moderate, or high-risk groups. In the low-risk group, 6.94% experienced thrombosis, compared to 15.76% in moderate-risk group and 48.78% in the high-risk group. The ThromboVera CS score is a reliable, easy-to-use tool for predicting thrombosis in PV patients. It can help clinicians identify those at high risk, enabling early intervention that could significantly improve patient outcomes by targeting nearly 50% of high-risk patients.
DOI: 10.6084/m9.figshare.29346742.v1
title: Safety and efficacy of marstacimab in patients with hemophilia A and B: a systematic review and meta-analysis

description: Hemophilia A and B are life‐threatening congenital bleeding disorders traditionally managed with frequent factor replacement therapies, which are often complicated by breakthrough bleeds and inhibitor development. Marstacimab, a monoclonal antibody that targets TFPI, has emerged as a novel prophylactic treatment, aiming to reduce bleeding episodes in patients without inhibitors. A systematic review was conducted following PRISMA guidelines. A comprehensive literature search was carried out in multiple electronic databases. A meta-analysis of the extracted data was performed using R language and applied a random-effects model for our analysis. Nine manuscripts were included. The meta-analysis demonstrated that Marstacimab significantly reduced the annualized bleeding rate (mean difference: –16.30; 95% CI: [–18.46, –14.15], <i>p</i> &lt; 0.001) and showed a favorable safety profile with most adverse events being mild or moderate, and no thrombotic events reported. Additionally, the use of a prefilled pen injection device further highlighted the therapeutic benefits and ease-of-use of Marstacimab. This meta-analysis reinforces the efficacy and safety of Marstacimab in reducing bleeding rates in patients with severe hemophilia A and B. The findings suggest that Marstacimab provides a promising alternative to conventional factor replacement therapies, supporting its potential as a transformative option in hemophilia management. The study protocol for this systematic review was registered in the International Prospective Registry of Systematic Reviews (PROSPERO) database (www.crd.york.ac.uk/prospero/), and it was allocated the PROSPERO identification number CRD42024620215.
DOI: 10.15468/dl.c28fzr
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sciurus carolinensis",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085618-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2my73
title: Occurrence Download

description: A dataset containing 26405 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hesperiidae"
 ]
}

 The dataset includes 26405 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0085619-250717081556266/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.29148501
title: Lung auscultation – today and tomorrow- a narrative review

description: Lung auscultation is a fundamental diagnostic tool for respiratory conditions. Despite advancements in medical technology, the analogue stethoscope remains a crucial tool for diagnosing pulmonary diseases. However, traditional auscultation methods have limitations, including variability in sound interpretation and examiner dependency. This review explores the current standards of lung auscultation, highlighting the challenges and limitations of traditional methods. Further, it examines the potential of digital stethoscopes and artificial intelligence (AI) in enhancing the accuracy and reliability of lung sound analysis. A broad and iterative exploration of the literature was conducted, mainly using PubMed, Scopus, and Google Scholar. The advent of digital stethoscopes and AI presents a potential for more standardized lung auscultation. Although challenging, these technologies can standardize sound categorization, improve diagnostic accuracy, and facilitate remote consultations. There will be a need for large data sets with high quality sound files and outcome measures, and noise during recording needs to be handled. The integration of digital lung auscultation with telemedicine platforms could significantly improve patient monitoring and care, particularly for those with chronic respiratory conditions.
DOI: 10.6084/m9.figshare.29148501.v1
title: Lung auscultation – today and tomorrow- a narrative review

description: Lung auscultation is a fundamental diagnostic tool for respiratory conditions. Despite advancements in medical technology, the analogue stethoscope remains a crucial tool for diagnosing pulmonary diseases. However, traditional auscultation methods have limitations, including variability in sound interpretation and examiner dependency. This review explores the current standards of lung auscultation, highlighting the challenges and limitations of traditional methods. Further, it examines the potential of digital stethoscopes and artificial intelligence (AI) in enhancing the accuracy and reliability of lung sound analysis. A broad and iterative exploration of the literature was conducted, mainly using PubMed, Scopus, and Google Scholar. The advent of digital stethoscopes and AI presents a potential for more standardized lung auscultation. Although challenging, these technologies can standardize sound categorization, improve diagnostic accuracy, and facilitate remote consultations. There will be a need for large data sets with high quality sound files and outcome measures, and noise during recording needs to be handled. The integration of digital lung auscultation with telemedicine platforms could significantly improve patient monitoring and care, particularly for those with chronic respiratory conditions.
DOI: 10.6084/m9.figshare.29760131
title: <b>Supplementary data for</b><b> </b><b>RSA-KG: A Graph-based Rag enhanced AI Knowledge Graph for Recurrent Spontaneous Abortions Diagnosis and Clinical Decision Support</b>

description: <b>Table S2. Entity list for building RSA-KG</b><b>Table S3. RSA-KG evaluation dataset</b><b>Table S4. RSA-KG-enhanced and </b><b>raw</b><b> LLM outputs</b><b>in </b><b>RSA medical cases outputs</b>
DOI: 10.6084/m9.figshare.29760131.v1
title: <b>Supplementary data for</b><b> </b><b>RSA-KG: A Graph-based Rag enhanced AI Knowledge Graph for Recurrent Spontaneous Abortions Diagnosis and Clinical Decision Support</b>

description: <b>Table S2. Entity list for building RSA-KG</b><b>Table S3. RSA-KG evaluation dataset</b><b>Table S4. RSA-KG-enhanced and </b><b>raw</b><b> LLM outputs</b><b>in </b><b>RSA medical cases outputs</b>
DOI: 10.26193/1u0hni
title: Australian Survey of Social Attitudes, 2018

description: The Australian Survey of Social Attitudes (AuSSA) is Australia’s main source of data for the scientific study of the social attitudes, beliefs and opinions of Australians, how they change over time, and how they compare with other societies. The survey is used to help researchers better understand how Australians think and feel about their lives. It produces important information about the changing views and attitudes of Australians as we move through the 21st century. Similar surveys are run in other countries, so data from the AuSSA also allows us to compare Australia with countries all over the world. The aims of the survey are to discover: the range of Australians’ views on topics that are important to all of us; how these views differ for people in different circumstances; how they have changed over the past quarter century; and how they compare with people in other countries. AuSSA is also the Australian component of the International Social Survey Project (ISSP). The ISSP is a cross-national collaboration on surveys covering important topics. Each year, survey researchers in some 40 countries each do a national survey using the same questions. The ISSP focuses on a special topic each year, repeating that topic from time to time. 

The topic for 2018 is Religion. This is the fourth time this has been the topic of the survey, having previously been the theme for the survey in 1991, 1998 and 2008.
description: SPSS, 24.0.0
description: Stata, 15.0
description: SAS, 9.2
description: Australian Survey of Social Attitudes
DOI: 10.15468/dl.m9qrac
title: Occurrence Download

description: A dataset containing 7951 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Pteroglossus inscriptus Swainson, 1822"
 ]
}

 The dataset includes 7951 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006109-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7szd34
title: Occurrence Download

description: A dataset containing 4895 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senna spectabilis (DC.) H.S.Irwin & Barneby",
 "BasisOfRecord is one of (Specimen, Fossil, Material sample, Material citation)"
 ]
}

 The dataset includes 4895 records from 302 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012852-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/mst-0zv-gfc
title: Nellia tenella (Lamarck, 1816)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s4f-5dt-vmb
title: Crisia Lamouroux, 1812

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p2h-mrv-7nf
title: Setosellina Calvet, 1906

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/xfn-lbq-nmx
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/m99-sbm-nsx
title: †Miogypsina Sacco, 1893

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mmv-m0a-5s2
title: Watersipora cucullata (Busk, 1854)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/0pj-5gy-6e2
title: Bryozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rry-e7x-g9f
title: †Lepidocyclina Gümbel, 1870

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ajq-hv9-rx1
title: †Membraniporella robusta Lagaaij, 1952

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7k8-fmd-bmb
title: Discoporella umbellata (Defrance, 1823)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a6l-g5d-yye
title: †Rastellum Faujas de Saint Fond, 1799

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3cq-w5m-q77
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sgs-wh1-x83
title: Lichenopora Defrance, 1823

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cq9-zws-rtf
title: Plantae

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/emz-9t0-2m2
title: Sorex Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/a9x-w1l-n7l
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mck-w8x-dr4
title: Mamillopora cupula Smitt, 1873

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/rbn-d68-9tx
title: Scrupocellaria van Beneden, 1845

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.