cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/s2rc2d222f
title: Diagnostic Accuracy of ChatGPT in Dermatology: A Meta-Analysis of Textual versus Visual Prompts

description: This dataset provides the full set of supplemental materials for the meta-analysis titled "Diagnostic Accuracy of ChatGPT in Dermatology: A Meta-Analysis of Textual versus Visual Prompts." The supplemental content includes detailed search strategies, statistical methodologies, study selection process, and comparative performance analyses of ChatGPT models across multiple variables.

Supplemental Figure 1:
PRISMA diagram illustrating the study selection process. Records identified from PubMed and SCOPUS were screened, with exclusions for duplicates, irrelevant topics, non-dermatologic evaluations, non-ChatGPT models, and missing accuracy data. A total of 17 studies were included in the final meta-analysis.

Supplemental Table 1:
Search criteria and statistical analysis methodology. Details search terms, article inclusion and exclusion criteria, and the full statistical approach, including descriptive statistics, Welch’s t-tests, multivariable logistic regression, and Egger’s test for publication bias.

Supplemental Table 2:
Frequency of tested dermatologic conditions among included studies. Lists all dermatologic conditions evaluated more than twice, with counts and frequency percentages.

Supplemental Table 3:
Average diagnostic accuracy of ChatGPT-4, ChatGPT-4o, and overall model performance. Summarizes top diagnosis and differential diagnosis accuracy rates, including 95% confidence intervals and results of t-tests comparing models.

Supplemental Table 4:
Comparison of ChatGPT diagnostic performance between textual and visual prompts. Reports differential accuracy percentages and confidence intervals for both input modalities.

Supplemental Table 5:
Comparison of diagnostic performance for malignant and benign lesion classifications stratified by textual versus visual prompts. Provides accuracy rates for each subgroup.

Supplemental Table 6:
Fitzpatrick skin phototype analysis of diagnostic performance. Evaluates differential accuracy across lighter (Fitzpatrick I-II) versus darker (Fitzpatrick III+) skin tones, with significance testing results.

Supplemental Table 7:
Comparison of diagnostic performance between studies utilizing public versus private data sources. Reports accuracy rates and statistical comparisons between the two groups.

Supplemental Table 8:
Analysis of ChatGPT performance by year of model accession (2023–2025). Highlights trends in diagnostic accuracy over time across studies included in the meta-analysis.
DOI: 10.17632/s2rc2d222f.1
title: Diagnostic Accuracy of ChatGPT in Dermatology: A Meta-Analysis of Textual versus Visual Prompts

description: This dataset provides the full set of supplemental materials for the meta-analysis titled "Diagnostic Accuracy of ChatGPT in Dermatology: A Meta-Analysis of Textual versus Visual Prompts." The supplemental content includes detailed search strategies, statistical methodologies, study selection process, and comparative performance analyses of ChatGPT models across multiple variables.

Supplemental Figure 1:
PRISMA diagram illustrating the study selection process. Records identified from PubMed and SCOPUS were screened, with exclusions for duplicates, irrelevant topics, non-dermatologic evaluations, non-ChatGPT models, and missing accuracy data. A total of 17 studies were included in the final meta-analysis.

Supplemental Table 1:
Search criteria and statistical analysis methodology. Details search terms, article inclusion and exclusion criteria, and the full statistical approach, including descriptive statistics, Welch’s t-tests, multivariable logistic regression, and Egger’s test for publication bias.

Supplemental Table 2:
Frequency of tested dermatologic conditions among included studies. Lists all dermatologic conditions evaluated more than twice, with counts and frequency percentages.

Supplemental Table 3:
Average diagnostic accuracy of ChatGPT-4, ChatGPT-4o, and overall model performance. Summarizes top diagnosis and differential diagnosis accuracy rates, including 95% confidence intervals and results of t-tests comparing models.

Supplemental Table 4:
Comparison of ChatGPT diagnostic performance between textual and visual prompts. Reports differential accuracy percentages and confidence intervals for both input modalities.

Supplemental Table 5:
Comparison of diagnostic performance for malignant and benign lesion classifications stratified by textual versus visual prompts. Provides accuracy rates for each subgroup.

Supplemental Table 6:
Fitzpatrick skin phototype analysis of diagnostic performance. Evaluates differential accuracy across lighter (Fitzpatrick I-II) versus darker (Fitzpatrick III+) skin tones, with significance testing results.

Supplemental Table 7:
Comparison of diagnostic performance between studies utilizing public versus private data sources. Reports accuracy rates and statistical comparisons between the two groups.

Supplemental Table 8:
Analysis of ChatGPT performance by year of model accession (2023–2025). Highlights trends in diagnostic accuracy over time across studies included in the meta-analysis.
DOI: 10.5285/21c423889e6a4035ac7f4761e467de2b
title: Met Office Cardington: column integrations of liquid water and water vapour from a Radiometrics WVR-1100 microwave radiometer, 2002-2022

description: The Met Office Observation-based research Boundary Layer Facility, at the semi-rural field site (18 Ha) of Cardington (52° 06′ N, 00° 25′ W, 29 m ± 1 m amsl) in central-southern England between 2004 and 2024, operated the Radiometrics WVR-1100 passive microwave radiometer measuring the atmospheric emissions at two frequencies (23.8 and 31.4 GHz) which provided brightness temperature at these channels, retrieve column integrations of liquid water path and integrated water vapour.

The WVR-1100 used a bi-linear regression method based on local radiosonde launches to retrieve column integrations of liquid water and water vapour. The WVR-1100 in addition performed ‘tipping curve’ observations using off-zenith slant scans where the optical depth for each frequency varies in a known way with atmospheric geometrical thickness. Tipping curves assume the atmosphere is horizontally homogeneous. The overall error in liquid water path is estimated to be 0.015 kg m-2. Water vapour and liquid water column amounts were logged typically every 9-10 s. Absolute calibrations for the absorbing channels were done periodically using an external black body cooled with liquid nitrogen.

A full list of NetCDF variables can be found in “A continuous hydrometeorological record (2004–2024) at the Met Office surface site of Cardington, UK.” Osborne et al. (2025). This paper should be referenced in any research/publications pertaining to this dataset.

To ensure optimal traceability and transparency of data, comprehensive metadata is included.
DOI: 10.15468/dl.huzmjf
title: Occurrence Download

description: A dataset containing 6185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Desmognathus conanti Rossman, 1958)"
 ]
}

 The dataset includes 6185 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002259-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.877dn4
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acacia prasinata Hunde"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002257-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/y3ygk98ngr.1
title: Sunflower Plant Health and Growth Stage Image Dataset for Agricultural Machine Learning Applications

description: This dataset contains high-resolution images of sunflower plants (Helianthus annuus), collected from Daffodil Smart City, Bangladesh. The sunflower is an economically important crop globally, valued for its edible oil, seeds, and ecological contributions. Accurate monitoring of sunflower plant health and growth stages is vital for optimizing agricultural yield, enhancing crop management practices, and supporting precision farming technologies. The primary purpose of this dataset is to facilitate machine learning and deep learning-based classification, detection, and monitoring of various growth stages and general health conditions of sunflower plants. Unlike disease detection datasets, this collection focuses on capturing the natural developmental phases and health states of sunflowers under normal growth environments.

The dataset is organized into five visually distinct classes representing key growth stages and health conditions:
EarlyBloom (1078 images)
Healthy (1202 images)
MatureBud (1008 images)
Wilted (1037 images)
YoungBud (1025 images)
Total Images: 5,350

Image Details:
Original Resolution: 3000 × 4000 pixels
Compressed Resolution: 560 × 420 pixels
Image Format: jpg
DOI: 10.48597/85qf-ktht
title: Measurement of Ozone at Puy de Dôme

description: Measurement of Ozone at Puy de Dôme
DOI: 10.48597/dzby-cnuc
title: Measurement of Ozone at Puy de Dôme

description: Measurement of Ozone at Puy de Dôme
DOI: 10.48597/3gj8-wwut
title: Measurement of Ozone at Puy de Dôme

description: Measurement of Ozone at Puy de Dôme
DOI: 10.48597/7ah4-azqg
title: Measurement of Ozone at Puy de Dôme

description: Measurement of Ozone at Puy de Dôme
DOI: 10.48597/9eee-y8t9
title: Measurement of Ozone at Puy de Dôme

description: Measurement of Ozone at Puy de Dôme
DOI: 10.48597/agb5-p83g
title: Measurement of Ozone at Puy de Dôme

description: Measurement of Ozone at Puy de Dôme
DOI: 10.48597/gqrt-3yes
title: Measurement of Ozone at Puy de Dôme

description: Measurement of Ozone at Puy de Dôme
DOI: 10.48597/svb7-wt4b
title: Ozone at Puy de Dôme

description: Measurement of Ozone at Puy de Dôme
DOI: 10.48577/jpl.yisk0h
title: Gas an Aerosol MAss Spectrometer (GAMS) for Venus Balloon Investigations

description: No abstract available.
DOI: 10.48577/jpl.mpdypc
title: Modeling and Analysis of Planetary Aerobots

description: No abstract available.
DOI: 10.48577/jpl.hweixk
title: Current progress and future goals of the Surface Biology and Geology mission: 2024 Science Applications Technical Interchange Meeting summary

description: No abstract available.
DOI: 10.15468/dl.q3fkty
title: Occurrence Download

description: A dataset containing 9509 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elephas maximus Linnaeus, 1758"
 ]
}

 The dataset includes 9509 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004477-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.kgt3xm
title: Europa Clipper and the Radiation Environment Challenges

description: No abstract available.
DOI: 10.48577/jpl.blesgo
title: FY24 Year-End Report for NEPP JPL Support for Processor Enclave

description: No abstract available.
DOI: 10.48577/jpl.taktna
title: NASA Analysis of Space Mission Options for the 2025 Planetary Defense Conference Hypothetical Asteroid Impact Threat Scenario

description: No abstract available.
DOI: 10.48577/jpl.i8akc9
title: The Role of Low-Cost Sensors in Complementing MAIA’s Surface PM Monitoring Network

description: No abstract available.
DOI: 10.48577/jpl.dmeer9
title: 2024 YR4: Discovery, tracking, orbit, and impact risk

description: No abstract available.
DOI: 10.6084/m9.figshare.29094326
title: Table 5. "Employability Skills" Article Findings in 2024.xlsx

description: "Employability Skills" Article Findings in 2024
DOI: 10.48577/jpl.wqliov
title: Artic Sea Ice Core CT Imaging Void/Brine Quantification

description: No abstract available.
DOI: 10.48577/jpl.zbafyj
title: NASA Parts Engineering School

description: No abstract available.
DOI: 10.15468/dl.gsjdu5
title: Occurrence Download

description: A dataset containing 595654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-3.5 37.3, -3.5 36.7, -2.8 36.7, -2.8 37.3, -3.5 37.3))"
 ]
}

 The dataset includes 595654 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004469-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48577/jpl.n4pfbm
title: Sanity Check on NASA Climate Fingerprinting Sounder Product (ClimFiSP) Level-3 Daily Product

description: No abstract available.
DOI: 10.48577/jpl.bhhjka
title: Development of a Bulk Metallic Glass Planetary Gearmotor for Unheated Actuation in Cryogenic Environments

description: Bulk metallic glasses (BMGs), a class of amorphous metal alloys, were selected for development of gears for unheated actuators that can be used in cryogenic environments such as Mars, the Moon, and outer planetary icy bodies (e.g., Enceladus and Europa). Specifically, an alloy of Cu43Zr43Al7Be7 was used to successfully develop a BMG planetary gearbox and prototype and flight gearmotors for operation at ≤-180 C. In additional to lessons learned from all phases of development, components and configurations, testing (including shock and vibration), and qualification for use in the Cold Operable Lunar Deployable (robotic) Arm (COLDArm) system are presented.
DOI: 10.48577/jpl.aw1nlx
title: Daily discharge estimation using SWOT data

description: No abstract available.
DOI: 10.48577/jpl.vf7ep1
title: Vector Infrasound Sensing with Balloon Borne Aeroseismometers

description: No abstract available.
DOI: 10.48577/jpl.iej3hb
title: Status Update for JPL Sentinel-6 POD Processing using TriG Tracking Data

description: No abstract available.
DOI: 10.48577/jpl.haimz3
title: Arctic Radiation-Cloud-aerosol-Surface Interaction Experiment (ARCSIX)

description: No abstract available.
DOI: 10.48577/jpl.r2hybd
title: Evaluation of ECOSTRESS Collection 2 Evapotranspiration Products SBG Algorithms WG Meeting

description: No abstract available.
DOI: 10.6084/m9.figshare.29094329
title: Table 6. Articles based on country of origin.xlsx

description: "Employability Skills" Article Findings in 2024
DOI: 10.15468/dl.fwsudn
title: Occurrence Download

description: A dataset containing 2287 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cynops orientalis (David, 1873)"
 ]
}

 The dataset includes 2287 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004479-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnf34g
title: Occurrence Download

description: A dataset containing 2147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Laggera Sch.Bip. ex Benth. & Hook.f."
 ]
}

 The dataset includes 2147 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004480-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6quusq
title: Occurrence Download

description: A dataset containing 595654 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-3.5 37.3, -3.5 36.7, -2.8 36.7, -2.8 37.3, -3.5 37.3))"
 ]
}

 The dataset includes 595654 records from 142 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004474-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddkv8e
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Lagrezia Moq."
 ]
}

 The dataset includes 94 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004481-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cqqdzt
title: Occurrence Download

description: A dataset containing 1742 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Lagunaria (DC.) Rchb."
 ]
}

 The dataset includes 1742 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004482-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4xtq4f
title: Occurrence Download

description: A dataset containing 296935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lanius excubitor Linnaeus, 1758",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 296935 records from 167 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004478-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tgm6w8
title: Occurrence Download

description: A dataset containing 149 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.6_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Solanum torvum Sw."
 ]
}

 The dataset includes 149 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004483-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2h5bue
title: Occurrence Download

description: A dataset containing 56437 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((125.3033 -3.911498, 128.1821 -3.911498, 128.1821 -1.142275, 125.3033 -1.142275, 125.3033 -3.911498))"
 ]
}

 The dataset includes 56437 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004472-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqa8wc
title: Occurrence Download

description: A dataset containing 23766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lanius meridionalis Temminck, 1820",
 "HasCoordinate is true",
 "Year is greater than 1989",
 "Year is less than 2026",
 {
 "not" : {
 "OccurrenceStatus" : [
 "is Absent"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than or equal to 1000"
 ]
}

 The dataset includes 23766 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004484-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.scyw73
title: Occurrence Download

description: A dataset containing 25021 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Laguncularia C.F.Gaertn."
 ]
}

 The dataset includes 25021 records from 309 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004485-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhbkq2
title: Occurrence Download

description: A dataset containing 4722 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salvia reflexa Hornem."
 ]
}

 The dataset includes 4722 records from 235 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004487-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.az8j5c
title: Occurrence Download

description: A dataset containing 68992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "Geometry POLYGON((-87.88354 41.63999,-87.48643 41.63999,-87.48643 42.05134,-87.88354 42.05134,-87.88354 41.63999))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "MediaType is Image",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 68992 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006196-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tm77ev
title: Occurrence Download

description: A dataset containing 481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "OccurrenceStatus is Present",
 "TaxonKey is Chenopodium album L."
 ]
}

 The dataset includes 481 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006195-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.