cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48322/eprq-d085
title: Gold Level 1D 130 nm to 170 nm Counts at Altitudes Occultation Plots

description: The Level 1C Dayside Disk Images are interrupted via stored instrument commands when 
	  target stars suitable for occultation measurements approach either limb. 
	  To perform the occultation measurement, the slit mechanism inserts the 1 degree wide occultation (OCC) 
	  slit at the spectrometer focal plane, and the scan mirrors slew the Field of View to the star. 
	  The mirror is centered at a 225 km tangent point altitude. Occultations require 6 minutes to 
	  execute (30 seconds to configure the instrument, 30 seconds for uncertainty in timing and pointing, 
	  4 minutes for the actual occultation, 30 seconds for uncertainty in timing and pointing, and 30 
	  seconds to return to HR slit). Once the occultation is complete, the HR slit is inserted, the scan 
	  mirror returns to its departure point in the original mapping observation. By choice GOLD is limited 
	  to performing ~10 occultations a day for most of the year, 
	  reducing the dayside mapping duty cycle by ~5%.
DOI: 10.48580/d4pt.v82
title: World Catalogue of Opiliones
DOI: 10.57830/2314617
title: Inland Fish Inventory at Isle Royale National Park 2023-2024 - Open Format Dataset - Dataset As Delivered

description: The inland lakes of Isle Royale National Park have remained relatively isolated from human impact, providing an opportunity to explore how fish diversity responds to climate change without confounding effects. We analyzed fish assemblages of 23 lakes sampled in the 1920s, 1990s, and 2020s to 1) assess shifts in multiple diversity metrics 2) identify lakes and species experiencing the most change, 3) explore environmental factors driving community structure, and 4) determine changes in length and abundance of common species. We used species-area curves, PERMANOVA, and multivariate dispersion tests to quantify differences in diversity between surveys, temporal beta diversity indices to identify lakes and species changing most, and NMDS to examine lake factors influencing composition. We assessed changes in length and abundance using linear mixed models and Wilcoxon sign-ranked tests. Mean richness and species-area curves did not significantly differ between surveys, although both declined slightly. PERMANOVA and dispersion tests indicated overall community composition and spatial variability remained mostly stable, but larger lakes became more dominated by cool-water species. Species gains and losses were associated with isostatic rebound rate, where lakes with fast and slow rebound rates tended to gain and lose species, respectively compared to prior studies. Overall, these results suggest the inland lake fish communities of Isle Royale have not homogenized over time, but assemblages have gained cool-water and lost several cold-water species.
DOI: 10.15468/dl.z55xfw
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "OccurrenceStatus is Present",
 "TaxonKey is Castor fiber",
 "Year 2009-2009"
 ]
}

 The dataset includes 274 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000392-260225131425191/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.31130067
title: Does size matter? Assessing the role of lentic system area on diatom diversity in subarctic Finland

description: Lentic systems are often small, experiencing a wide range of consequences of climate change through shifts in chemistry and community assembly processes. Such vulnerable systems support most of the regional freshwater biodiversity in the Finnish subarctic, highlighting their conservation value. Despite increasing research of subarctic freshwater diatoms focusing on the relationship between biodiversity and various factors, the effect of habitat size on benthic diatoms remains understudied. This study compared diatom diversity and water chemistry between and within subarctic lentic systems. Significant differences in species richness, water pH, conductivity, Ca, Cl, and Na were found between lakes and ponds, but the variation within systems was insignificant. Our results suggest that there were size-dependent differences in community composition, assembly processes, and local contributions towards beta diversity, and that differences in water chemistry between ponds and lakes help shape the benthic diatom communities. Thus, surface area may be used as a proxy for water chemistry. Microhabitat abundance and environmental harshness likely cause such area effects, but further investigation is required on isolation, dispersal limitations, and water depth. Studying the benthic communities of these vulnerable systems will provide insight into the effects of climate change.
DOI: 10.6084/m9.figshare.31130067.v1
title: Does size matter? Assessing the role of lentic system area on diatom diversity in subarctic Finland

description: Lentic systems are often small, experiencing a wide range of consequences of climate change through shifts in chemistry and community assembly processes. Such vulnerable systems support most of the regional freshwater biodiversity in the Finnish subarctic, highlighting their conservation value. Despite increasing research of subarctic freshwater diatoms focusing on the relationship between biodiversity and various factors, the effect of habitat size on benthic diatoms remains understudied. This study compared diatom diversity and water chemistry between and within subarctic lentic systems. Significant differences in species richness, water pH, conductivity, Ca, Cl, and Na were found between lakes and ponds, but the variation within systems was insignificant. Our results suggest that there were size-dependent differences in community composition, assembly processes, and local contributions towards beta diversity, and that differences in water chemistry between ponds and lakes help shape the benthic diatom communities. Thus, surface area may be used as a proxy for water chemistry. Microhabitat abundance and environmental harshness likely cause such area effects, but further investigation is required on isolation, dispersal limitations, and water depth. Studying the benthic communities of these vulnerable systems will provide insight into the effects of climate change.
DOI: 10.15468/dl.pvhhg6
title: Occurrence Download

description: A dataset containing 35413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fraxinus ornus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35413 records from 416 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000390-260225131425191/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18763338
title: Dataset for: "A Hetero-functional Graph State Estimator for Watershed Systems: Application to the Chesapeake Bay"
DOI: 10.5281/zenodo.18763339
title: Dataset for: "A Hetero-functional Graph State Estimator for Watershed Systems: Application to the Chesapeake Bay"
DOI: 10.57783/cb6x-gt95
title: MarketScan Commercial Set A Mortality Edition

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan® Research Databases aggregate claims & enrollment data from commercial, federal, state and public health plans, linking paid claims to real-world data for healthcare research, economics and treatment outcomes for ~300m patients.
description: The Merative™ MarketScan® Research Databases capture person-specific clinical utilization, expenditures, and enrollment across inpatient, outpatient, prescription drug, and carve-out services for commercially insured populations. The databases aggregate claims and enrollment data from large, self-insured employers, health plans, government, and public organizations, linking paid claims to detailed patient information across sites, providers, and time.
DOI: 10.57783/kab6-pw77
title: MarketScan Commercial Set A Mortality Edition

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan® Research Databases aggregate claims & enrollment data from commercial, federal, state and public health plans, linking paid claims to real-world data for healthcare research, economics and treatment outcomes for ~300m patients.
description: The Merative™ MarketScan® Research Databases capture person-specific clinical utilization, expenditures, and enrollment across inpatient, outpatient, prescription drug, and carve-out services for commercially insured populations. The databases aggregate claims and enrollment data from large, self-insured employers, health plans, government, and public organizations, linking paid claims to detailed patient information across sites, providers, and time.
DOI: 10.57783/c8ph-bb87
title: MarketScan Commercial Set B Mortality Edition

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan® Research Databases aggregate claims & enrollment data from commercial, federal, state and public health plans, linking paid claims to real-world data for healthcare research, economics and treatment outcomes for ~300m patients.
description: The Merative™ MarketScan® Research Databases capture person-specific clinical utilization, expenditures, and enrollment across inpatient, outpatient, prescription drug, and carve-out services for commercially insured populations. The databases aggregate claims and enrollment data from large, self-insured employers, health plans, government, and public organizations, linking paid claims to detailed patient information across sites, providers, and time.
DOI: 10.57783/dy61-z314
title: MarketScan Commercial Set B Mortality Edition

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan® Research Databases aggregate claims & enrollment data from commercial, federal, state and public health plans, linking paid claims to real-world data for healthcare research, economics and treatment outcomes for ~300m patients.
description: The Merative™ MarketScan® Research Databases capture person-specific clinical utilization, expenditures, and enrollment across inpatient, outpatient, prescription drug, and carve-out services for commercially insured populations. The databases aggregate claims and enrollment data from large, self-insured employers, health plans, government, and public organizations, linking paid claims to detailed patient information across sites, providers, and time.
DOI: 10.57783/r5pz-zg84
title: MarketScan Commercial Set A Classroom Edition

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan Databases track hundreds of millions of patients throughout their healthcare interactions with the health system- hospital stays, drug, dental, lab results, benefit plans, and more.
DOI: 10.57783/rwkj-8g39
title: MarketScan Commercial Set A Classroom Edition

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan Databases track hundreds of millions of patients throughout their healthcare interactions with the health system- hospital stays, drug, dental, lab results, benefit plans, and more.
DOI: 10.57783/8zv9-mk36
title: MarketScan Benefit Plan Design

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan Benefit Plan Design Database represents the benefit plans for large employers whose claims data comprise portions of the MarketScan Commercial Claims and Encounters Database. Currently, data is available forXXXX-XXXX
description: The Merative™ MarketScan® Benefit Plan Design Database represents the benefit plans for large employers whose claims data make up portions of the Merative MarketScan Commercial Database. This information is abstracted from plan-by-plan statistical analysis of claims and enrollment data submitted by large employers.
DOI: 10.57783/xebz-k849
title: MarketScan Benefit Plan Design

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan Benefit Plan Design Database represents the benefit plans for large employers whose claims data comprise portions of the MarketScan Commercial Claims and Encounters Database. Currently, data is available forXXXX-XXXX
description: The Merative™ MarketScan® Benefit Plan Design Database represents the benefit plans for large employers whose claims data make up portions of the Merative MarketScan Commercial Database. This information is abstracted from plan-by-plan statistical analysis of claims and enrollment data submitted by large employers.
DOI: 10.57783/regt-4t60
title: MarketScan Commercial Dental

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan® Research Databases aggregate claims & enrollment data from commercial, federal, state and public health plans, linking paid claims to real-world data for healthcare research, economics and treatment outcomes for ~300m patients.
DOI: 10.57783/ad4c-q838
title: MarketScan Commercial Dental

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan® Research Databases aggregate claims & enrollment data from commercial, federal, state and public health plans, linking paid claims to real-world data for healthcare research, economics and treatment outcomes for ~300m patients.
DOI: 10.57783/v9tw-1w84
title: Marketscan Commercial Set A

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan® Research Databases aggregate claims & enrollment data from commercial, federal, state and public health plans, linking paid claims to real-world data for healthcare research, economics and treatment outcomes for ~300m patients.
description: The Merative™ MarketScan® Research Databases capture person-specific clinical utilization, expenditures, and enrollment across inpatient, outpatient, prescription drug, and carve-out services for commercially insured populations. The databases aggregate claims and enrollment data from large, self-insured employers, health plans, government, and public organizations, linking paid claims to detailed patient information across sites, providers, and time.
DOI: 10.57783/mn7q-mp35
title: Marketscan Commercial Set A

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan® Research Databases aggregate claims & enrollment data from commercial, federal, state and public health plans, linking paid claims to real-world data for healthcare research, economics and treatment outcomes for ~300m patients.
description: The Merative™ MarketScan® Research Databases capture person-specific clinical utilization, expenditures, and enrollment across inpatient, outpatient, prescription drug, and carve-out services for commercially insured populations. The databases aggregate claims and enrollment data from large, self-insured employers, health plans, government, and public organizations, linking paid claims to detailed patient information across sites, providers, and time.
DOI: 10.57783/rrzr-4w38
title: Marketscan Commercial Set B

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan® Research Databases aggregate claims & enrollment data from commercial, federal, state and public health plans, linking paid claims to real-world data for healthcare research, economics and treatment outcomes for ~300m patients.
description: The Merative™ MarketScan® Research Databases capture person-specific clinical utilization, expenditures, and enrollment across inpatient, outpatient, prescription drug, and carve-out services for commercially insured populations. The databases aggregate claims and enrollment data from large, self-insured employers, health plans, government, and public organizations, linking paid claims to detailed patient information across sites, providers, and time.
DOI: 10.57783/hsnd-pc25
title: Marketscan Commercial Set B

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan® Research Databases aggregate claims & enrollment data from commercial, federal, state and public health plans, linking paid claims to real-world data for healthcare research, economics and treatment outcomes for ~300m patients.
description: The Merative™ MarketScan® Research Databases capture person-specific clinical utilization, expenditures, and enrollment across inpatient, outpatient, prescription drug, and carve-out services for commercially insured populations. The databases aggregate claims and enrollment data from large, self-insured employers, health plans, government, and public organizations, linking paid claims to detailed patient information across sites, providers, and time.
DOI: 10.57783/w7s3-jg04
title: Marketscan Health and Productivity Management Set B

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan® Research Databases aggregate claims & enrollment data from commercial, federal, state and public health plans, linking paid claims to real-world data for healthcare research, economics and treatment outcomes for ~300m patients.
description: The Merative™ MarketScan® Health and Productivity Management (HPM) Database contains integrated data regarding workplace absence, short-term disability, long-term disability, and worker’s compensation for almost three million employees. This information is linkable to the medical, pharmacy, and enrollment data in other Merative MarketScan Research Databases for these employees. The result is a unique resource that can be used to examine health and productivity issues for an employed, privately insured population.
DOI: 10.57783/avwt-4w93
title: Marketscan Health and Productivity Management Set B

description: For technical support with Columbia Data Platform please contact: dataplatform@columbia.edu. 

For User Group and Access questions please contact: rit@cumc.columbia.edu. 

For specific technical questions of the Marketscan data, please contact marketscan.support@merative.com, or the Merative Support Community Portal at https://merative.my.site.com/mysupport.
description: The MarketScan® Research Databases aggregate claims & enrollment data from commercial, federal, state and public health plans, linking paid claims to real-world data for healthcare research, economics and treatment outcomes for ~300m patients.
description: The Merative™ MarketScan® Health and Productivity Management (HPM) Database contains integrated data regarding workplace absence, short-term disability, long-term disability, and worker’s compensation for almost three million employees. This information is linkable to the medical, pharmacy, and enrollment data in other Merative MarketScan Research Databases for these employees. The result is a unique resource that can be used to examine health and productivity issues for an employed, privately insured population.