cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr39624.v1
title: How Well Do Clinical Prediction Models (CPMs) Validate? A Large-Scale Evaluation of Cardiovascular Clinical Prediction Models [Methods Study], United States, 2016-2021
title: Version 1

description: Clinical prediction models, or CPMs, are statistical models that can predict a patient's risk for a specific event, such as a health problem, adverse effect, or even death. To create a CPM, researchers use a single data set, such as data from a clinical trial. To find out whether the CPM accurately predicts risks for patients who weren't part of the original data, researchers can test the CPM with other data sets. This testing can help researchers know if the CPM is accurate for patients from different backgrounds and whether it can be used to make health decisions. But few CPMs have been tested with other data sets.
In this study, the research team used other data sets to look at how well CPMs for heart disease predict patients' risks. They also looked at how to improve CPMs.
 To access the software and methods, please visit the Tufts Race CPM Registry.
description: (1) To understand how well cardiovascular Clinical prediction models (CPMs) perform using data from external cohorts; (2) To test the effectiveness of updating procedures to improve risk predictions from CPMs
description: The research team first conducted a systematic review of 1,382 Clinical prediction models (CPMs) to assess how frequently CPMs are validated, and performance variation across external cohorts. Then the team used 36 clinical data sets to validate 108 CPMs for three health conditions: acute coronary syndrome, heart failure, and incident cardiovascular disease. To test CPM performance, the team used three metrics:

Discrimination, or how well a CPM separates patients with the outcome from those without the outcome.
Calibration error, or the difference between the observed outcome rate and the estimated probabilities.
Net benefit, or a measure of whether basing clinical decisions on the CPM would do more good than harm at different risk thresholds. The risk thresholds were the observed rate of an outcome, twice the observed rate, and half the observed rate.
The research team tested three statistical updating procedures to improve CPM predictions.

With input from a stakeholder panel that included researchers, clinicians, industry experts, and patient advocates, the research team created a website with a comprehensive database of each CPM's performance.
description: Datasets: 
DS1: How Well Do Clinical Prediction Models (CPMs) Validate? A Large-Scale Evaluation of Cardiovascular Clinical Prediction Models [Methods Study], United States, 2016-2021
DOI: 10.60586/snt462.grlg.379
title: Visium (no probes) data from the brain of a 57 year-old unknown male
DOI: 10.60586/snt358.grpl.542
title: Visium (no probes) data from the brain of a 57 year-old unknown male
DOI: 10.25574/13485
title: Chandra X-ray Observatory ObsId 13485

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt557.dtsb.264
title: Visium (no probes) data from the brain of a 46 year-old unknown male
DOI: 10.60586/snt854.vjmx.652
title: PhenoCycler data from the spleen of a C57BL6 male mouse
DOI: 10.25574/13486
title: Chandra X-ray Observatory ObsId 13486

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt747.dfqv.649
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.60586/snt357.rmgr.386
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.60586/snt595.zvcr.673
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.25574/13487
title: Chandra X-ray Observatory ObsId 13487

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt843.mnxh.862
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.60586/snt338.dwsw.624
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.21233/6s6g-j053
title: Riisitunturi pollen trap dataset

description: Raw data for the Riisitunturi pollen trap dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.25574/13488
title: Chandra X-ray Observatory ObsId 13488

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt566.nwdw.327
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.60586/snt284.cxbg.892
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.25574/13489
title: Chandra X-ray Observatory ObsId 13489

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt624.lbzt.775
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.60586/snt539.fpfz.858
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.25574/13490
title: Chandra X-ray Observatory ObsId 13490

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt658.ltks.698
title: Histology data from the pancreas of a 37.0-year-old white female
DOI: 10.60586/snt536.rwzb.259
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.25574/13491
title: Chandra X-ray Observatory ObsId 13491

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt473.zktz.763
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.60586/snt997.hmll.254
title: Histology data from the pancreas of a 37.0-year-old white female
DOI: 10.21233/bfgq-ar74
title: Petkula pollen trap dataset

description: Raw data for the Petkula pollen trap dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.25574/13492
title: Chandra X-ray Observatory ObsId 13492

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt626.vpng.354
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.60586/snt398.xtwp.354
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.25574/13493
title: Chandra X-ray Observatory ObsId 13493

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt927.djfk.892
title: Histology data from the pancreas of a 37.0-year-old white female
DOI: 10.60586/snt677.wchj.569
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.25574/13494
title: Chandra X-ray Observatory ObsId 13494

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt395.qvxs.675
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.60586/snt837.kblx.772
title: Histology data from the pancreas of a 37.0-year-old white female
DOI: 10.25574/13495
title: Chandra X-ray Observatory ObsId 13495

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt754.mjnp.762
title: Visium (no probes) data from the brain of a 39 year-old unknown male
DOI: 10.60586/snt576.hvqx.276
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.25574/13496
title: Chandra X-ray Observatory ObsId 13496

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt822.zxhb.869
title: Histology data from the pancreas of a 49.0-year-old white male
DOI: 10.21233/xam7-sf18
title: Ukonjärvi pollen trap dataset

description: Raw data for the Ukonjärvi pollen trap dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.60586/snt623.pdfl.545
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.25574/13497
title: Chandra X-ray Observatory ObsId 13497

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt634.cvmq.352
title: Histology data from the pancreas of a 59.0-year-old white female
DOI: 10.60586/snt224.lslk.429
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.25574/13498
title: Chandra X-ray Observatory ObsId 13498

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt364.ppvt.683
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.60586/snt978.xptd.876
title: Histology data from the pancreas of a 59.0-year-old white female
DOI: 10.25574/13499
title: Chandra X-ray Observatory ObsId 13499

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.5281/zenodo.17829847
title: MESMAR-R: A Coupled Regional Reanalysis for the Mediterranean Region Covering the period 1993-2024

description: MESMAR-R is a newly developed coupled atmosphere-ocean-hydrology reanalysis for the Mediterranean region. The system couples state-of-the-art numerical models with data assimilation in both the ocean and the atmosphere, producing a dynamically coherent reconstruction of the 1993–2024 period. MESMAR-R shows strong performance in the ocean, particularly for sea level, sea-surface salinity, and upper-layer temperature, confirming its skill in the layers most relevant for air–sea interaction. The atmospheric component performs reasonably well given its simplified assimilation based on three-dimensional nudging, yielding basin-scale fields comparable to state-of-the-art reanalyses and maintaining internally consistent coupled air-sea interactions. Sensitivity experiments show that data assimilation in both the ocean and atmosphere is essential for optimal performance: coupling alone does not reach reanalysis skill, but its benefits are relevant for salinity and surface fluxes and amplify when complemented by data assimilation. The ocean and atmospheric trends reconstructed by MESMAR-R are physically coherent and consistent with observations, reproducing basin-wide salinification, thermo–halo compensation in steric sea level, mass-driven sea-level rise, and pronounced near-surface atmospheric warming and drying. MESMAR-R therefore provides a unique, balanced reconstruction of past Mediterranean climate, suitable for investigating coupled air–sea processes, compound events, marine extremes, and other phenomena where dynamically consistent atmosphere–ocean interactions are essential.

Data contained here includes monthly means of all model components, climatic trends, data assimilation diagnostics, and model configuration files.
DOI: 10.60586/snt922.mbdc.543
title: Histology data from the kidney (left) of a 49.0-year-old white male
DOI: 10.5281/zenodo.17829846
title: MESMAR-R: A Coupled Regional Reanalysis for the Mediterranean Region Covering the period 1993-2024

description: MESMAR-R is a newly developed coupled atmosphere-ocean-hydrology reanalysis for the Mediterranean region. The system couples state-of-the-art numerical models with data assimilation in both the ocean and the atmosphere, producing a dynamically coherent reconstruction of the 1993–2024 period. MESMAR-R shows strong performance in the ocean, particularly for sea level, sea-surface salinity, and upper-layer temperature, confirming its skill in the layers most relevant for air–sea interaction. The atmospheric component performs reasonably well given its simplified assimilation based on three-dimensional nudging, yielding basin-scale fields comparable to state-of-the-art reanalyses and maintaining internally consistent coupled air-sea interactions. Sensitivity experiments show that data assimilation in both the ocean and atmosphere is essential for optimal performance: coupling alone does not reach reanalysis skill, but its benefits are relevant for salinity and surface fluxes and amplify when complemented by data assimilation. The ocean and atmospheric trends reconstructed by MESMAR-R are physically coherent and consistent with observations, reproducing basin-wide salinification, thermo–halo compensation in steric sea level, mass-driven sea-level rise, and pronounced near-surface atmospheric warming and drying. MESMAR-R therefore provides a unique, balanced reconstruction of past Mediterranean climate, suitable for investigating coupled air–sea processes, compound events, marine extremes, and other phenomena where dynamically consistent atmosphere–ocean interactions are essential.

Data contained here includes monthly means of all model components, climatic trends, data assimilation diagnostics, and model configuration files.
DOI: 10.60586/snt854.hfjj.949
title: PhenoCycler data from the lymph node of a 34.0-year-old white male
DOI: 10.25574/13500
title: Chandra X-ray Observatory ObsId 13500

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt342.ljjg.548
title: PhenoCycler data from the lymph node of a 22.0-year-old white male
DOI: 10.60586/snt274.llql.874
title: PhenoCycler data from the lymph node of a 71.0-year-old white female
DOI: 10.17026/ar/s1ghpq
title: PAN-00112379 - rectangular Roman mirror

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00112379&lt;/p&gt;
description: Modified: 2025-09-09T17:11:30+02:00
DOI: 10.21233/eryf-sf84
title: Teno river pollen trap dataset

description: Raw data for the Teno river pollen trap dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.25574/13501
title: Chandra X-ray Observatory ObsId 13501

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt744.cvvx.288
title: PhenoCycler data from the lymph node of a 74.0-year-old white male
DOI: 10.60586/snt973.kkwn.988
title: PhenoCycler data from the lymph node of a 78.0-year-old black or african american female
DOI: 10.25574/13502
title: Chandra X-ray Observatory ObsId 13502

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt379.sjfd.828
title: PhenoCycler data from the spleen of a C57BL6 male mouse
DOI: 10.60586/snt397.crwk.458
title: PhenoCycler data from the spleen of a C57BL6 male mouse
DOI: 10.25574/13503
title: Chandra X-ray Observatory ObsId 13503

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt787.xkhv.858
title: RNAseq data from the lung (left) of a C57BL/6J male mouse
DOI: 10.60586/snt243.ltgw.532
title: RNAseq data from the lung (left) of a C57BL/6J female mouse
DOI: 10.25574/13504
title: Chandra X-ray Observatory ObsId 13504

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt483.wfbt.763
title: RNAseq data from the lung (left) of a C57BL/6J male mouse
DOI: 10.60586/snt788.zbhp.683
title: RNAseq data from the lung (left) of a C57BL/6J female mouse
DOI: 10.25574/13505
title: Chandra X-ray Observatory ObsId 13505

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt278.bjdm.838
title: GeoMx (NGS) data from the liver of a 26.0-year-old unknown unknown
DOI: 10.21233/t6c6-4t39
title: Iceland pollen trap dataset

description: Raw data for the Iceland pollen trap dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.6084/m9.figshare.30047773
title: Supplemental Tables: Identification of stripe rust adult plant resistance genes in the hard winter wheat cultivar Baker’s Ann

description: These are supplemental tables associated with a manuscript submitted to the Journal of The Plant Genome (Sharma et al., "Identification of stripe rust adult plant resistance genes in the hard winter wheat cultivar Baker’s Ann")
DOI: 10.6084/m9.figshare.30047773.v2
title: Supplemental Tables: Identification of stripe rust adult plant resistance genes in the hard winter wheat cultivar Baker’s Ann

description: These are supplemental tables associated with a manuscript submitted to the Journal of The Plant Genome (Sharma et al., "Identification of stripe rust adult plant resistance genes in the hard winter wheat cultivar Baker’s Ann")
DOI: 10.60586/snt942.rqpw.487
title: GeoMx (NGS) data from the liver of a 26.0-year-old unknown unknown
DOI: 10.6084/m9.figshare.30047773.v1
title: Supplemental Tables: Identification of stripe rust adult plant resistance genes in the hard winter wheat cultivar Baker’s Ann

description: These are supplemental tables associated with a manuscript submitted to the Journal of The Plant Genome (Sharma et al., "Identification of stripe rust adult plant resistance genes in the hard winter wheat cultivar Baker’s Ann")
DOI: 10.25574/13506
title: Chandra X-ray Observatory ObsId 13506

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt863.gqvg.679
title: GeoMx (NGS) data from the liver of a 26.0-year-old unknown unknown
DOI: 10.60586/snt233.fksx.388
title: GeoMx (NGS) data from the liver of a 26.0-year-old unknown unknown
DOI: 10.25574/13507
title: Chandra X-ray Observatory ObsId 13507

description: Cosmology and Cluster Evolution from the 80 Most Massive Clusters in 2000 deg^2 from the South Pole Telescope Survey
DOI: 10.60586/snt876.cqnr.795
title: GeoMx (NGS) data from the liver of a 26.0-year-old unknown unknown
DOI: 10.60586/snt584.kmqz.454
title: GeoMx (NGS) data from the liver of a 26.0-year-old unknown unknown
DOI: 10.60586/snt759.ppxr.947
title: GeoMx (NGS) data from the liver of a 26.0-year-old unknown unknown
DOI: 10.60586/snt378.cbwj.655
title: GeoMx (NGS) data from the liver of a 26.0-year-old unknown unknown
DOI: 10.21233/ss39-0s76
title: Iceland pollen trap dataset

description: Raw data for the Iceland pollen trap dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.25574/13509
title: Chandra X-ray Observatory ObsId 13509

description: Radioactivity, Particle Acceleration, and Supernova Ejecta in the Youngest Galactic SNR G1.9+0.3
DOI: 10.60586/snt558.sxbb.229
title: GeoMx (NGS) data from the liver of a 26.0-year-old unknown unknown
DOI: 10.60586/snt324.nzhw.456
title: GeoMx (NGS) data from the liver of a 26.0-year-old unknown unknown
DOI: 10.25574/13510
title: Chandra X-ray Observatory ObsId 13510

description: A textbook cold front in Abell 1775 at sharp focus with Chandra
DOI: 10.60586/snt236.brmq.789
title: GeoMx (NGS) data from the liver of a 26.0-year-old unknown unknown
DOI: 10.60586/snt799.dpqh.848
title: GeoMx (NGS) data from the liver of a 77.0-year-old white female
DOI: 10.25574/13511
title: Chandra X-ray Observatory ObsId 13511

description: Determination of the true nature of Swift J1822.3-1606
DOI: 10.60586/snt932.tfql.363
title: GeoMx (NGS) data from the liver of a 77.0-year-old white female
DOI: 10.60586/snt378.fvtk.835
title: GeoMx (NGS) data from the liver of a 77.0-year-old white female
DOI: 10.25574/13515
title: Chandra X-ray Observatory ObsId 13515

description: A High Resolution Image of the M87 Jet
DOI: 10.60586/snt442.smcv.866
title: GeoMx (NGS) data from the liver of a 77.0-year-old white female
DOI: 10.60586/snt572.zxfz.262
title: GeoMx (NGS) data from the liver of a 77.0-year-old white female
DOI: 10.25574/13516
title: Chandra X-ray Observatory ObsId 13516

description: RXJ1347-1145: the most luminous cluster in the Universe
DOI: 10.21233/ekc9-0t19
title: Iceland pollen trap dataset

description: Raw data for the Iceland pollen trap dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.60586/snt424.qqvc.727
title: GeoMx (NGS) data from the liver of a 77.0-year-old white female
DOI: 10.60586/snt576.vhdp.798
title: GeoMx (NGS) data from the liver of a 77.0-year-old white female
DOI: 10.25574/13517
title: Chandra X-ray Observatory ObsId 13517

description: Completing X-ray Observations of the 20 Most Massive Clusters from the South Pole Telescope 2500 Square-Degree Survey
DOI: 10.60586/snt569.mcbr.853
title: GeoMx (NGS) data from the liver of a 77.0-year-old white female
DOI: 10.60586/snt554.gszz.774
title: GeoMx (NGS) data from the liver of a 77.0-year-old white female
DOI: 10.25574/13518
title: Chandra X-ray Observatory ObsId 13518

description: The outskirts of Abell 133
DOI: 10.60586/snt739.hslz.265
title: GeoMx (NGS) data from the liver of a 77.0-year-old white female
DOI: 10.60586/snt634.zqmx.675
title: GeoMx (NGS) data from the liver of a 77.0-year-old white female
DOI: 10.25574/13519
title: Chandra X-ray Observatory ObsId 13519

description: Measuring the Temperature Structure of the A3395/A3391 Large Scale Filament in the Horologium Supercluster
DOI: 10.21233/tm3x-4r43
title: Andenes pollen trap dataset

description: Raw data for the Andenes pollen trap dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.60586/snt538.cswz.885
title: GeoMx (NGS) data from the liver of a 77.0-year-old white female
DOI: 10.25574/13522
title: Chandra X-ray Observatory ObsId 13522

description: Measuring the Temperature Structure of the A3395/A3391 Large Scale Filament in the Horologium Supercluster
DOI: 10.60586/snt743.mbsg.394
title: GeoMx (NGS) data from the liver of a 29.0-year-old white female
DOI: 10.60586/snt662.ccpd.234
title: GeoMx (NGS) data from the liver of a 29.0-year-old white female