cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57761/p0ta-q619
title: MarketScan Commercial Database (2025 Version)

description: THE DATA ON THIS PAGE SHOULD NOW ONLY BE USED TO FINISH UP EXISTING PROJECTS. NO NEW PROJECTS SHOULD BE STARTED WITH THIS COPY OF THE DATA.

The MarketScan Commercial Database (previously called the 'MarketScan Database') contains real-world data for healthcare research and analytics to examine health economics and treatment outcomes.

This page also contains the MarketScan Commercial Lab Database starting in 2018.

Starting in 2026, there will be a data access fee for using the full dataset. Please refer to the 'Usage Notes' section of this page for more information.
description: MarketScan Research Databases are a family of data sets that fully integrate many types of data for healthcare research, including:

- De-identified records of more than 188 million patients (medical, drug and dental)

<!-- -->

- Laboratory results

<!-- -->

- Hospital discharges

<!-- -->

The MarketScan Databases track millions of patients throughout the healthcare system. The data are contributed by large employers, managed care organizations, hospitals, EMR providers, and Medicare.


description: This page contains the MarketScan **Commercial** Database.



We also have the following on other pages:

- The [MarketScan Medicare Supplemental Database](<https://redivis.com/datasets/jv2x-25dm36err>)
- The [MarketScan Dental Database](<https://redivis.com/datasets/8nrg-00z8j0b47>)
- The [MarketScan Benefit Plan Design data](<https://redivis.com/datasets/e2kz-4jjd2hqsa>)
- [MarketScan Redbook ](<https://redivis.com/datasets/c6pg-fy1d3xy1a>)(The MarketScan Code Reference Book)

<!-- -->



**Starting in 2026, there will be a data access fee for using the full dataset **(though the 1% sample will remain free to use). The pricing structure and other **relevant information can be found in this **[**FAQ Sheet**](<https://docs.google.com/document/d/16cnpAMcrEKsiAO3QOQC0oNQONGIagt2TTodnXSHeu-I/edit?usp=sharing>).


description: #Before Manuscript Submission  
**All manuscripts** (and other items you'd like to publish) **must be submitted to support@stanfordphs.freshdesk.com** for approval prior to journal submission.



We will check your cell sizes and citations.



For more information about how to cite PHS and PHS datasets, please visit:

[https:/phsdocs.developerhub.io/need-help/citing-phs-data-core](<https:/phsdocs.developerhub.io/need-help/citing-phs-data-core>)
DOI: 10.57761/mgz9-sr02
title: MarketScan Commercial Database (2025 Version)

description: THE DATA ON THIS PAGE SHOULD NOW ONLY BE USED TO FINISH UP EXISTING PROJECTS. NO NEW PROJECTS SHOULD BE STARTED WITH THIS COPY OF THE DATA.

The MarketScan Commercial Database (previously called the 'MarketScan Database') contains real-world data for healthcare research and analytics to examine health economics and treatment outcomes.

This page also contains the MarketScan Commercial Lab Database starting in 2018.

Starting in 2026, there will be a data access fee for using the full dataset. Please refer to the 'Usage Notes' section of this page for more information.
description: MarketScan Research Databases are a family of data sets that fully integrate many types of data for healthcare research, including:

- De-identified records of more than 188 million patients (medical, drug and dental)

<!-- -->

- Laboratory results

<!-- -->

- Hospital discharges

<!-- -->

The MarketScan Databases track millions of patients throughout the healthcare system. The data are contributed by large employers, managed care organizations, hospitals, EMR providers, and Medicare.


description: This page contains the MarketScan **Commercial** Database.



We also have the following on other pages:

- The [MarketScan Medicare Supplemental Database](<https://redivis.com/datasets/jv2x-25dm36err>)
- The [MarketScan Dental Database](<https://redivis.com/datasets/8nrg-00z8j0b47>)
- The [MarketScan Benefit Plan Design data](<https://redivis.com/datasets/e2kz-4jjd2hqsa>)
- [MarketScan Redbook ](<https://redivis.com/datasets/c6pg-fy1d3xy1a>)(The MarketScan Code Reference Book)

<!-- -->



**Starting in 2026, there will be a data access fee for using the full dataset **(though the 1% sample will remain free to use). The pricing structure and other **relevant information can be found in this **[**FAQ Sheet**](<https://docs.google.com/document/d/16cnpAMcrEKsiAO3QOQC0oNQONGIagt2TTodnXSHeu-I/edit?usp=sharing>).


description: #Before Manuscript Submission  
**All manuscripts** (and other items you'd like to publish) **must be submitted to support@stanfordphs.freshdesk.com** for approval prior to journal submission.



We will check your cell sizes and citations.



For more information about how to cite PHS and PHS datasets, please visit:

[https:/phsdocs.developerhub.io/need-help/citing-phs-data-core](<https:/phsdocs.developerhub.io/need-help/citing-phs-data-core>)
DOI: 10.15468/dl.yex74n
title: Occurrence Download

description: A dataset containing 375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Platyrrhinus incarum, Platyrrhinus helleri incarum)"
 ]
}

 The dataset includes 375 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017270-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57761/vyp5-jj62
title: MarketScan Medicare Supplemental (2025 Version)

description: THE DATA ON THIS PAGE SHOULD NOW ONLY BE USED TO FINISH UP EXISTING PROJECTS. NO NEW PROJECTS SHOULD BE STARTED WITH THIS COPY OF THE DATA.

The MarketScan Medicare Supplemental Database provides detailed cost, use and outcomes data for healthcare services performed in both inpatient and outpatient settings.

It Include Medicare Supplemental records for all years, and Medicare Advantage records starting in 2020. This page also contains the MarketScan Medicare Lab Database starting in 2018.

Starting in 2026, there will be a data access fee for using the full dataset. Please refer to the 'Usage Notes' section of this page for more information.
description: MarketScan Research Databases are a family of data sets that fully integrate many types of data for healthcare research, including:

- De-identified records of more than 250 million patients (medical, drug and dental)

<!-- -->

- Laboratory results

<!-- -->

- Hospital discharges

<!-- -->

The MarketScan Databases track millions of patients throughout the healthcare system. The data are contributed by large employers, managed care organizations, hospitals, EMR providers and Medicare.


description: This page contains the MarketScan **Medicare** Database.



We also have the following on other pages:

- The [MarketScan Commercial Database](<https://stanford.redivis.com/datasets/96hs-egqe74693>)
- The [MarketScan Dental Database](<https://redivis.com/datasets/8nrg-00z8j0b47>)
- The [MarketScan Benefit Plan Design data](<https://redivis.com/datasets/e2kz-4jjd2hqsa>)
- [MarketScan Redbook ](<https://redivis.com/datasets/c6pg-fy1d3xy1a>)(The MarketScan Code Reference Book)

<!-- -->



**Starting in 2026, there will be a data access fee for using the full dataset **

(though the 1% sample will remain free to use). The pricing structure and other

**relevant information can be found in this **[**FAQ Sheet**](<https://docs.google.com/document/d/16cnpAMcrEKsiAO3QOQC0oNQONGIagt2TTodnXSHeu-I/edit?usp=sharing>).


description: #Before Manuscript Submission  
**All manuscripts** (and other items you'd like to publish) **must be submitted to**

**support@stanfordphs.freshdesk.com** for approval prior to journal submission.



We will check your cell sizes and citations.



For more information about how to cite PHS and PHS datasets, please visit:

https:/phsdocs.developerhub.io/need-help/citing-phs-data-core
DOI: 10.57761/qbm1-v692
title: MarketScan Medicare Supplemental (2025 Version)

description: THE DATA ON THIS PAGE SHOULD NOW ONLY BE USED TO FINISH UP EXISTING PROJECTS. NO NEW PROJECTS SHOULD BE STARTED WITH THIS COPY OF THE DATA.

The MarketScan Medicare Supplemental Database provides detailed cost, use and outcomes data for healthcare services performed in both inpatient and outpatient settings.

It Include Medicare Supplemental records for all years, and Medicare Advantage records starting in 2020. This page also contains the MarketScan Medicare Lab Database starting in 2018.

Starting in 2026, there will be a data access fee for using the full dataset. Please refer to the 'Usage Notes' section of this page for more information.
description: MarketScan Research Databases are a family of data sets that fully integrate many types of data for healthcare research, including:

- De-identified records of more than 250 million patients (medical, drug and dental)

<!-- -->

- Laboratory results

<!-- -->

- Hospital discharges

<!-- -->

The MarketScan Databases track millions of patients throughout the healthcare system. The data are contributed by large employers, managed care organizations, hospitals, EMR providers and Medicare.


description: This page contains the MarketScan **Medicare** Database.



We also have the following on other pages:

- The [MarketScan Commercial Database](<https://stanford.redivis.com/datasets/96hs-egqe74693>)
- The [MarketScan Dental Database](<https://redivis.com/datasets/8nrg-00z8j0b47>)
- The [MarketScan Benefit Plan Design data](<https://redivis.com/datasets/e2kz-4jjd2hqsa>)
- [MarketScan Redbook ](<https://redivis.com/datasets/c6pg-fy1d3xy1a>)(The MarketScan Code Reference Book)

<!-- -->



**Starting in 2026, there will be a data access fee for using the full dataset **

(though the 1% sample will remain free to use). The pricing structure and other

**relevant information can be found in this **[**FAQ Sheet**](<https://docs.google.com/document/d/16cnpAMcrEKsiAO3QOQC0oNQONGIagt2TTodnXSHeu-I/edit?usp=sharing>).


description: #Before Manuscript Submission  
**All manuscripts** (and other items you'd like to publish) **must be submitted to**

**support@stanfordphs.freshdesk.com** for approval prior to journal submission.



We will check your cell sizes and citations.



For more information about how to cite PHS and PHS datasets, please visit:

https:/phsdocs.developerhub.io/need-help/citing-phs-data-core
DOI: 10.5683/sp3/2ctev1
title: Sustainable and non-flammable hybrid composites based on ocean-recycled polyamide 6 reinforced with surface-modified basalt fiber and lignin-derived biocarbon

description: The growing demand for lightweight, sustainable and fire-resistant materials in electric vehicles (EVs) and the automotive sectors necessitates the development of advanced polymer composites with balanced mechanical, thermal and flammability performance. In this work, non-flammable and high-performance polyamide 6 (PA 6) hybrid composites with silane-treated basalt fiber, lignin-pyrolyzed biocarbon, ocean-recycled PA 6, and a low loading of non-halogenated flame retardant (melamine cyanurate) were prepared by melt extrusion followed by injection molding. The silane-treated basalt fiber provided excellent stiffness, while lignin biocarbon produced at 950 °C imparted effective condensed-phase char formation. The synergistic hybrid reinforcement strategy significantly enhanced stiffness, heat stability and flame retardancy while maintaining good processability. The optimized hybrid composites with 10 wt% biocarbon and 20 wt% recycled PA 6 exhibited a 179% increase in tensile modulus and 194% increase in flexural modulus compared to neat PA 6. A heat deflection temperature above 200 °C and 53% reduction in the coefficient of linear thermal expansion were also observed for these composites. These sustainable composites achieved a UL-94 V-0 rating and zero horizontal burning rate while retaining melt flow index values above 10 g/10 min. Dynamic mechanical and rheological analyses revealed high entanglement density, strong filler-matrix adhesion, and a stable viscoelastic network. Moreover, hybrid composites with 50% sustainability and much lighter (&gt;50%) than metal composites showed strong potential for lightweight EV battery enclosures and structural automotive components.
description: Origin
description: MS Excel
description: <b>Notes on OPJU files:</b> OPJU files are Origin/OriginPro project files. Origin is a data analysis and graphing software. To view the raw OPJU files, Origin software is required or you may use the free Origin Viewer to view the OPJU files.
DOI: 10.57761/7zk5-p887
title: V3 2021 Files: MarketScan Database

description: THE DATA ON THIS PAGE SHOULD NOW ONLY BE USED TO FINISH UP EXISTING PROJECTS. NO NEW PROJECTS SHOULD BE STARTED WITH THIS COPY OF THE DATA.

We had to delete V3 of MarketScan because of some unusual circumstances with the formats of some of the files we were sent (to prevent the duplication of records). V3.1 contains all of the info that was in V3, however V3.1 has 2022 data & a slightly different version of the 2021 data. The data on this page is the version of the 2021 data that was in V3. Our purpose in posting this is to enable researchers who completed analyses on V3 to replicate their work by combining the data here with the data on the main page.

FOR THE MAJORITY OF RESEARCHERS, however, we strongly recommend using V3.1, and ignoring this page, as it will be irrelevant for most research going forward. (Rule of thumb: If you are unsure whether you need the data on this page, then you probably don't need it.)
description: To recreate V3 of the data, use the data for 2020 and earlier that is on the[ main MarketScan Databases page](<https://redivis.com/StanfordPHS/admin/datasets/96hs-egqe74693>), and combine it with the data on this page. That will give you the *exact *same data that was in V3.



The data documentation on the [main MarketScan page](<https://redivis.com/datasets/96hs-egqe74693>) also applies to the data on this page.



**Starting in 2026, there will be a data access fee for using the full dataset **

(though the 1% sample will remain free to use). The pricing structure and other

**relevant information can be found in this **[**FAQ Sheet**](<https://docs.google.com/document/d/16cnpAMcrEKsiAO3QOQC0oNQONGIagt2TTodnXSHeu-I/edit?usp=sharing>).
DOI: 10.15468/dl.ged4ug
title: Occurrence Download

description: A dataset containing 5292 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspidoscelis costatus"
 ]
}

 The dataset includes 5292 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017271-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bnnb9m
title: Occurrence Download

description: A dataset containing 4715 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pyrrhura calliptera"
 ]
}

 The dataset includes 4715 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017272-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18138/2589017
title: Public Data Set: Modeling of Injected Current Stream-Induced 3D Perturbations in Local Helicity Injection Plasmas

description: This public dataset contains openly-documented, machine readable digital research data corresponding to figures published in C.E. Schaefer et al., “Modeling of Injected Current Stream-Induced 3D Perturbations in Local Helicity Injection Plasmas,” accepted for publication in Physics of Plasmas.
DOI: 10.15468/dl.tmvqxb
title: Occurrence Download

description: A dataset containing 11269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Helianthus petiolaris, Helianthus argophyllus, Helianthus agrestis, Helianthus porteri)"
 ]
}

 The dataset includes 11269 records from 315 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017273-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18510168
title: STRATEGIC MITIGATION OF SQL INJECTION VULNERABILITIES IN MODERN WEB ARCHITECTURES: A COMPREHENSIVE REVIEW

description: SQL Injection (SQLi) continues to pose a critical threat to modern web applications, exploiting improper input handling to compromise database integrity and confidentiality. This paper provides a comprehensive review of SQLi attack vectors, evaluates the effectiveness of cryptographic, pattern-based, and machine learning mitigation strategies, and analyzes their applicability in contemporary cloud-native and microservice-based architectures. Findings indicate that a multi-layered defense approach significantly reduces risk and enhances system resilience.
DOI: 10.5281/zenodo.18510167
title: STRATEGIC MITIGATION OF SQL INJECTION VULNERABILITIES IN MODERN WEB ARCHITECTURES: A COMPREHENSIVE REVIEW

description: SQL Injection (SQLi) continues to pose a critical threat to modern web applications, exploiting improper input handling to compromise database integrity and confidentiality. This paper provides a comprehensive review of SQLi attack vectors, evaluates the effectiveness of cryptographic, pattern-based, and machine learning mitigation strategies, and analyzes their applicability in contemporary cloud-native and microservice-based architectures. Findings indicate that a multi-layered defense approach significantly reduces risk and enhances system resilience.
DOI: 10.15468/dl.sm9fuv
title: Occurrence Download

description: A dataset containing 1489 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Vulpes velox [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 1489 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017274-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjts8v
title: Occurrence Download

description: A dataset containing 1489 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Vulpes velox [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 1489 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017276-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vxue3h
title: Occurrence Download

description: A dataset containing 1489 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 "TaxonKey is one of (Vulpes velox [GBIF Backbone Taxonomy])"
 ]
}

 The dataset includes 1489 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017275-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18510120
title: Position-Aware-Decoding-for-Hallucination-Mitigation-in-Large-Language-Models Experiment Files

description: The dataset has been published at the request of Applied Sciences. Files have been uploaded to the extent permitted by Zenodo; all remaining generation steps are available in the associated GitHub repository.Github Link: https://github.com/mertakcay/Position-Aware-Decoding-for-Hallucination-Mitigation-in-Large-Language-Models---LF
DOI: 10.5281/zenodo.18510119
title: Position-Aware-Decoding-for-Hallucination-Mitigation-in-Large-Language-Models Experiment Files

description: The dataset has been published at the request of Applied Sciences. Files have been uploaded to the extent permitted by Zenodo; all remaining generation steps are available in the associated GitHub repository.Github Link: https://github.com/mertakcay/Position-Aware-Decoding-for-Hallucination-Mitigation-in-Large-Language-Models---LF
DOI: 10.25505/fiz.icsd.cc2mhtgf
title: CSD 2428275: Experimental Crystal Structure Determination

description: Related Article: Qixian Ren,  Chen Cui,  Xinchen Chen,  Yabo Wu,  Ran An,  Zhihua Yang,  Shilie Pan|2026|Nat.Commun.|17|40|doi:10.1038/s41467-025-66148-2
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15482/usda.adc/31076668
title: Data from: Temperature effects on development and population growth of two parasitoids (Hymenoptera) of the coffee berry borer (<i>Hypothenemus hampei</i>)

description: These data are from a study that evaluated the thermal biology of two key parasitoids of <i>Hypothenemus hampei (</i>Coffee berry borer; Coleoptera: Curculionidae): the larval-pupal ectoparasitoid <i>Prorops nasuta</i> (Hymenoptera: Bethylidae) and the adult endoparasitoid <i>Phymastichus coffea</i> (Hymenoptera: Eulophidae). Using age-stage, two-sex life tables across eight constant temperatures, we quantified temperature effects on development, survival, fecundity, and population growth. We identified 22-25°C as the optimal range for survival, and fecundity peaked at 25°C . Life-table parameters indicate maximal population growth at 25°C for both parasitoids. Development failed at extreme temperatures (32 and 35°C), highlighting upper thermal limits relevant to mass-rearing and field releases for both parasitoids. Degree-day models were developed to estimate the potential number of generations across Colombian coffee-growing regions. We predict 5.5-11.6 annual generations of <i>P. nasuta</i> and 2.2-8.6 of <i>P. coffea</i>, depending on local temperature regimes. These results identify optimal temperature ranges for rearing and deploying <i>P. nasuta</i> and <i>P. coffea</i> and provide spatially relevant predications for their establishment potential in Colombian coffee-growing regions. Regions with mean temperatures between 22-28°C are expected to support the greatest efficacy of augmentative biological control programs targeting the coffee berry borer.