cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.z8ykjf
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calicnemis latreillei Laporte, 1832",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 38 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070661-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5yrwkp3832
title: Macrogenomic raw data-2

description: LP-L
DOI: 10.17632/5yrwkp3832.1
title: Macrogenomic raw data-2

description: LP-L
DOI: 10.5281/zenodo.14335801
title: Data and scripts for: Island geography drives evolution of rattan palms in tropical Asian rainforests

description: This repository contains data and scripts for the research paper "Island geography drives evolution of rattan palms in tropical Asian rainforests".

Authors: Benedikt G. Kuhnhäuser, Christopher D. Bates, John Dransfield, Connie Geri, Andrew Henderson, Sang Julia, Jun Ying Lim, Robert J. Morley, Himmah Rustiami, Rowan J. Schley, Sidonie Bellot, Guillaume Chomicki, Wolf L. Eiserhardt, Simon J. Hiscock, William J. Baker

Corresponding authors: b.kuhnhaeuser@kew.org, w.baker@kew.org

 

The repository contains the following data, scripts, supplementary figures, and supplementary tables:

1. Phylogenomic analyses- Alignments- Gene trees- Species trees- README file

2. Divergence time estimation- .xml files (containing both sequence data and analysis parameters)- dated trees- README file

3. Ancestral range estimation- input data- scripts- input data, intermediate data and scripts for the best model- README file

4. Downstream biogeographic analyses- input data- script- README file

5. Supplementary Figures

6. Supplementary Tables
DOI: 10.5281/zenodo.14391726
title: Data and scripts for: Island geography drives evolution of rattan palms in tropical Asian rainforests

description: This repository contains data and scripts for the research paper "Island geography drives evolution of rattan palms in tropical Asian rainforests".

Authors: Benedikt G. Kuhnhäuser, Christopher D. Bates, John Dransfield, Connie Geri, Andrew Henderson, Sang Julia, Jun Ying Lim, Robert J. Morley, Himmah Rustiami, Rowan J. Schley, Sidonie Bellot, Guillaume Chomicki, Wolf L. Eiserhardt, Simon J. Hiscock, William J. Baker

Corresponding authors: b.kuhnhaeuser@kew.org, w.baker@kew.org

 

The repository contains the following data, scripts, supplementary figures, and supplementary tables:

1. Phylogenomic analyses- Alignments- Gene trees- Species trees- README file

2. Divergence time estimation- .xml files (containing both sequence data and analysis parameters)- dated trees- README file

3. Ancestral range estimation- input data- scripts- input data, intermediate data and scripts for the best model- README file

4. Downstream biogeographic analyses- input data- script- README file

5. Supplementary Figures

6. Supplementary Tables
DOI: 10.5281/zenodo.5137408
title: Data and scripts for: Island geography drives evolution of rattan palms in tropical Asian rainforests

description: This repository contains data and scripts for the research paper "Island geography drives evolution of rattan palms in tropical Asian rainforests".

Authors: Benedikt G. Kuhnhäuser, Christopher D. Bates, John Dransfield, Connie Geri, Andrew Henderson, Sang Julia, Jun Ying Lim, Robert J. Morley, Himmah Rustiami, Rowan J. Schley, Sidonie Bellot, Guillaume Chomicki, Wolf L. Eiserhardt, Simon J. Hiscock, William J. Baker

Corresponding authors: b.kuhnhaeuser@kew.org, w.baker@kew.org

 

The repository contains the following data, scripts, supplementary figures, and supplementary tables:

1. Phylogenomic analyses- Alignments- Gene trees- Species trees- README file

2. Divergence time estimation- .xml files (containing both sequence data and analysis parameters)- dated trees- README file

3. Ancestral range estimation- input data- scripts- input data, intermediate data and scripts for the best model- README file

4. Downstream biogeographic analyses- input data- script- README file

5. Supplementary Figures

6. Supplementary Tables
DOI: 10.5281/zenodo.5137409
title: Data and scripts for: Island geography drives evolution of rattan palms in tropical Asian rainforests

description: This repository contains data and scripts for the research paper "Island geography drives evolution of rattan palms in tropical Asian rainforests".

Authors: Benedikt G. Kuhnhäuser, Christopher D. Bates, John Dransfield, Connie Geri, Andrew Henderson, Sang Julia, Jun Ying Lim, Robert J. Morley, Himmah Rustiami, Rowan J. Schley, Sidonie Bellot, Guillaume Chomicki, Wolf L. Eiserhardt, Simon J. Hiscock, William J. Baker

Corresponding authors: b.kuhnhaeuser@kew.org, w.baker@kew.org

 

The repository consists of four main folders that contain data, scripts and README files for the following analyses:

1. Phylogenomic analyses- Alignments- Gene trees- Species trees- README file

2. Divergence time estimation- .xml files (containing both sequence data and analysis parameters)- dated trees- README file

3. Ancestral range estimation- input data- scripts- input data, intermediate data and scripts for the best model- README file

4. Downstream biogeographic analyses- input data- script- README file
DOI: 10.15468/dl.grg336
title: Occurrence Download

description: A dataset containing 461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Chaenothecopsis Vain."
 ]
}

 The dataset includes 461 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070662-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14651900
title: India Aerospace and Defence Market 2024 To 2033

description: India Aerospace and Defence Market Size, Trends and Insights By Security (Cybersecurity, Homeland Security, Border Security, Others), By Service (Maintenance, Repair & Operations (MRO), Modelling, Training & Simulation (MTS), Logistics), By Application (Land, Small Arms,, Tanks, Armored Fighting Vehicles, Artillery, Mine Warfare, Communication Equipment, Air, Aircraft, Helicopters, Missiles, Amphibious Warfare, Communication Equipment, Sea, Submarines, Destroyers, Frigates, Corvettes, Communication Equipment, Mine Warfare), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

India Aerospace and Defence Market was valued at USD 27.1 Billion in 2024 and is expected to reach USD 54.4 Billion by 2033, at a CAGR of 6.99% during the forecast period 2024 – 2033.

The Aerospace and Defence sector in India involves building aircraft, ships, spacecraft, weapon systems, and defense equipment. Aerospace and defense (A&D) companies sell their products and supporting services and sustainment programs to governments and private companies and other end use industries.

The Aerospace and Defense sector in India is rapidly growing and propelling the growth of the manufacturing sector from the front by manufacturing defense equipment of international quality standards and establishing technologically advanced manufacturing facilities.

Several Indian Aerospace and Defense equipment manufacturing companies have proven themselves capable of providing first-time correct quality comparable to global standards.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=42352
DOI: 10.5281/zenodo.14651901
title: India Aerospace and Defence Market 2024 To 2033

description: India Aerospace and Defence Market Size, Trends and Insights By Security (Cybersecurity, Homeland Security, Border Security, Others), By Service (Maintenance, Repair & Operations (MRO), Modelling, Training & Simulation (MTS), Logistics), By Application (Land, Small Arms,, Tanks, Armored Fighting Vehicles, Artillery, Mine Warfare, Communication Equipment, Air, Aircraft, Helicopters, Missiles, Amphibious Warfare, Communication Equipment, Sea, Submarines, Destroyers, Frigates, Corvettes, Communication Equipment, Mine Warfare), and By Region - Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

India Aerospace and Defence Market was valued at USD 27.1 Billion in 2024 and is expected to reach USD 54.4 Billion by 2033, at a CAGR of 6.99% during the forecast period 2024 – 2033.

The Aerospace and Defence sector in India involves building aircraft, ships, spacecraft, weapon systems, and defense equipment. Aerospace and defense (A&D) companies sell their products and supporting services and sustainment programs to governments and private companies and other end use industries.

The Aerospace and Defense sector in India is rapidly growing and propelling the growth of the manufacturing sector from the front by manufacturing defense equipment of international quality standards and establishing technologically advanced manufacturing facilities.

Several Indian Aerospace and Defense equipment manufacturing companies have proven themselves capable of providing first-time correct quality comparable to global standards.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=42352
DOI: 10.15468/dl.pkj8nn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callimus abdominalis Xambeu, 1898",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070665-241126133413365/datasets/export for details.
DOI: 10.15468/dl.skujhj
title: Occurrence Download

description: A dataset containing 1855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Baccha elongata (Fabricius, 1775)"
 ]
}

 The dataset includes 1855 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070664-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14651809
title: Dataset for: Quantum magnetometry of transient signals with a time resolution of 1.1 nanoseconds

description: This source data repository contains the data for the measurement plots shown in

Konstantin Herb, Laura A. Völker, John M. Abendroth, Nicholas Meinhardt, Laura van Schie, Pietro Gambardella, Christian L. DegenQuantum magnetometry of transient signals with a time resolution of 1.1 nanoseconds arXiv:2411.05542 DOI: 10.1038/s41467-025-55956-1
DOI: 10.5281/zenodo.14651810
title: Dataset for: Quantum magnetometry of transient signals with a time resolution of 1.1 nanoseconds

description: This source data repository contains the data for the measurement plots shown in

Konstantin Herb, Laura A. Völker, John M. Abendroth, Nicholas Meinhardt, Laura van Schie, Pietro Gambardella, Christian L. DegenQuantum magnetometry of transient signals with a time resolution of 1.1 nanoseconds arXiv:2411.05542 DOI: 10.1038/s41467-025-55956-1
DOI: 10.5281/zenodo.14651888
title: ENHANCING STUDENTS' CRITICAL THINKING SKILLS  THROUGH ENGLISH LANGUAGE TEACHING

description: This article examines the methodological approaches to enhancing students’ critical thinking skills through English language teaching. Teaching critical thinking helps students develop problem-solving skills, decision-making abilities, and the capacity to justify their opinions. The article presents effective methods to increase critical thinking through practical sessions and the role of the teacher.
DOI: 10.5281/zenodo.14651889
title: ENHANCING STUDENTS' CRITICAL THINKING SKILLS  THROUGH ENGLISH LANGUAGE TEACHING

description: This article examines the methodological approaches to enhancing students’ critical thinking skills through English language teaching. Teaching critical thinking helps students develop problem-solving skills, decision-making abilities, and the capacity to justify their opinions. The article presents effective methods to increase critical thinking through practical sessions and the role of the teacher.
DOI: 10.17632/7mgsdv28x3
title: Macrogenomic raw data-3

description: Macrogenomic
DOI: 10.17632/7mgsdv28x3.1
title: Macrogenomic raw data-3

description: Macrogenomic
DOI: 10.5281/zenodo.14535417
title: Dynamical Properties of PPI Networks (DyPPIN)

description: The dataset collection was introduced in:The collection contains datasets that describe dynamical properties (DP) computed for pairs of proteins in Protein-Protein Interaction Networks (PPIN). DP values are derived from DP computed for Biochemical Pathways (BPs). Currently we provide values for the sensitivity property.

The  repository is organized as follows:



DyBP (Dynamics of Biochemical Pathways) contains the properties computed via simulations of computational models in BioModels.



{property}.csv files storing the values for biochemical species pairs (DyBP) / protein pairs (DyPPIN) for each DP. Each .csv file has 4 columns:



'BiomodelID': the BP identifier

'Input': the input species name.

'Output': the output species name.

'{Property}': the value for the DP holding for the input/output pair.





DyPPIN (Dynamics of Protein-Protein Interaction Networks) contains the DPs computed for protein pairs in the BioGRID PPIN.



{property}.csv files storing the values for biochemical species pairs (DyBP) / protein pairs (DyPPIN) for each DP. Each .csv file has 4 columns:



'BiomodelID': the BP identifier

'Input': the input protein UniProt identifier.

'Output': the output protein UniProt identifier.

'{Property}': the value for the DP holding for the input/output pair.



graphs directory contains the graph representations protein subgraphs. We provide the graph in .dot format.
DOI: 10.5281/zenodo.14535418
title: Dynamical Properties of PPI Networks (DyPPIN)

description: The dataset collection was introduced in:The collection contains datasets that describe dynamical properties (DP) computed for pairs of proteins in Protein-Protein Interaction Networks (PPIN). DP values are derived from DP computed for Biochemical Pathways (BPs). Currently we provide values for the sensitivity property.

The  repository is organized as follows:



DyBP (Dynamics of Biochemical Pathways) contains the properties computed via simulations of computational models in BioModels.



{property}.csv files storing the values for biochemical species pairs (DyBP) / protein pairs (DyPPIN) for each DP. Each .csv file has 4 columns:



'BiomodelID': the BP identifier

'Input': the input species name.

'Output': the output species name.

'{Property}': the value for the DP holding for the input/output pair.





DyPPIN (Dynamics of Protein-Protein Interaction Networks) contains the DPs computed for protein pairs in the BioGRID PPIN.



{property}.csv files storing the values for biochemical species pairs (DyBP) / protein pairs (DyPPIN) for each DP. Each .csv file has 4 columns:



'BiomodelID': the BP identifier

'Input': the input protein UniProt identifier.

'Output': the output protein UniProt identifier.

'{Property}': the value for the DP holding for the input/output pair.



graphs directory contains the graph representations protein subgraphs. We provide the graph in .dot format.
DOI: 10.15468/dl.xyux6z
title: Occurrence Download

description: A dataset containing 76432 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "DatasetKey is one of (NABU|naturgucker, EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "GadmGid is DEU.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year is 2022"
 ]
}

 The dataset includes 76432 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070666-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14650962
title: One input-class and two input-class classifications for differentiating olive oil from other edible vegetable oils by use of the normal-phase liquid chromatography fingerprint of the methyl-transesterified fraction

description: The available downloadable dataset contains the raw instrumental fingerprints (.csv format) of the vegetable oils (olive oil, sunflower oil etc.) analysed according to the analytical method described in the scientific publication (Food Chemistry, 2017, 221:1784-1791).
DOI: 10.5281/zenodo.14650961
title: One input-class and two input-class classifications for differentiating olive oil from other edible vegetable oils by use of the normal-phase liquid chromatography fingerprint of the methyl-transesterified fraction

description: The available downloadable dataset contains the raw instrumental fingerprints (.csv format) of the vegetable oils (olive oil, sunflower oil etc.) analysed according to the analytical method described in the scientific publication (Food Chemistry, 2017, 221:1784-1791).
DOI: 10.5519/qd.thqcxaj7
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.14651815
title: Chemometric classification and quantification of olive oil in blends with any edible vegetable oils using FTIR-ATR and Raman spectroscopy

description: The available dataset contains the raw spectra (.csv format) of the vegetable oils (olive oil, sunflower oil etc.) analysed according to the analytical methods described in the scientific publication (FTIR and Raman) (LWT - Food Science and Tehcnology, 2017, 86:174-184).
DOI: 10.5281/zenodo.14651816
title: Chemometric classification and quantification of olive oil in blends with any edible vegetable oils using FTIR-ATR and Raman spectroscopy

description: The available dataset contains the raw spectra (.csv format) of the vegetable oils (olive oil, sunflower oil etc.) analysed according to the analytical methods described in the scientific publication (FTIR and Raman) (LWT - Food Science and Tehcnology, 2017, 86:174-184).
DOI: 10.58032/agh/g1eyfn
title: Phosphorus influence on sulfate capacity and structural evolution in multicomponent silicate-phosphate glasses - research data

description: The dataset contains fundamental information about the materials under study—glasses from the SiO₂-P₂O₅-K₂O-MgO-SO₃ system, varying in phosphorus content and loaded with increasing amounts of sulfate ions. It includes their diffraction patterns and structural characteristics (Raman, FTIR, MAS-NMR, and XAS data), which were utilized to characterize these glasses designed to function as vitreous nutrient carriers for plants.
DOI: 10.21989/d9/rzxyon
title: High Cost Dual Eligible Service Use Demonstrate Need for Supportive and Palliative Models of Care

description: The High Cost Dual Eligible Service Use Demonstrate Need for Supportive and Palliative Models of Care paper was developed utilizing Medicare and Medicaid claims data.
DOI: 10.21989/d9/wfpcjf
title: An analysis of patient-sharing physician networks and implantable cardioverter defibrillator therapy

description: Abstract The application of social network analysis to the organization of healthcare delivery is a relatively new area of research that may not be familiar to health services statisticians and other methodologists. We present a methodological introduction to social network analysis with a case study of physicians’ adherence to clinical guidelines regarding use of implantable cardioverter defibrillators (ICDs) for the prevention of sudden cardiac death. We focus on two hospital referral regions (HRRs) in Indiana, Gary and South Bend, characterized by different rates of evidence-based ICD use (86% and 66%, respectively). Using Medicare Part B claims, we construct a network of physicians who care for cardiovascular disease patients based on patient-sharing relationships. Approaches for weighting physician dyads and aggregating physician dyads by hospital are discussed. Then, we obtain a set of weighted network statistics for the positions of hospitals in their referral region, global statistics for the physician network within each hospital, and of the network positions of individual physicians within hospitals, providing the mathematical specification and sociological intuition underlying each measure. We find that adjusting for network measures can reduce the observed differences between referral regions for evidence-based ICD therapy. This study supports previous reports on how variation in physician network structure relates to utilization of care, and motivates future work using physician network measures to examine variation in evidence-based medicine.
DOI: 10.21989/d9/nnzom4
title: Replication Data for: Forgotten patients: ACO attribution omits those with low service use and the dying

description: &lt;p&gt;&lt;b&gt;OBJECTIVES:&lt;/b&gt; Alternative payment models, such as accountable care organizations, hold provider groups accountable for an assigned patient population, but little is known about unassigned patients. We compared clinical and utilization profiles of patients attributable to a provider group with those of patients not attributable to any provider group.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;STUDY DESIGN:&lt;/b&gt; Cross-sectional study of 2012 Medicare fee-for-service beneficiaries 21 years and older.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;METHODS:&lt;/b&gt; We applied the Medicare Shared Savings Program attribution approach to assign beneficiaries to 2 mutually exclusive categories: attributable or unattributable. We compared attributable and unattributable beneficiaries according to demographics, dual eligibility for Medicaid, nursing home residency, clinical comorbidities, annual service utilization, annual spending, and 1- and 2-year mortality. We estimated multivariate regression models describing correlates of attribution status.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;RESULTS:&lt;/b&gt; Most beneficiaries (88%) were attributable to a provider group. The remaining 12% were unattributable. Beneficiaries unattributable to any provider group were more likely to be younger, male, and from a minority group; to have disability as the basis for enrollment; and to live in high-poverty areas. Unattributable beneficiaries included 3 distinct subgroups: nonusers of care, decedents, and those with healthcare service use but no qualifying evaluation and management visits. Many unattributable Medicare beneficiaries had minimal use of healthcare services, with the exception of a small subgroup of beneficiaries who died within the attribution year.&lt;/p&gt;

&lt;p&gt;&lt;b&gt;CONCLUSIONS:&lt;/b&gt; Attribution approaches that more fully capture unattributable patients with low service use and patients near the end of life should be considered to reward population health efforts and improve end-of-life care.&lt;/p&gt;
DOI: 10.21989/d9/nnzom4/aack0h
title: Attribution_Paper_Tables_40percent.tab