cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e240196v1
title: HIFLD OPEN Historical Hydrographic Points

description: USGS developed The National Map Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names Information System (GNIS). The National Map Gazetteer contains information about physical and cultural geographic features, geographic areas, and locational entities that are generally recognizable and locatable by name (have achieved some landmark status) and are of interest to any level of government or to the public for any purpose that would lead to the representation of the feature in printed or electronic maps and/or geographic information systems. The dataset includes features of all types in the United States, its associated areas, and Antarctica, current and historical, but not including roads and highways. The dataset holds the federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature classification, and historical and descriptive information. The dataset assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. This dataset is a flat model, establishing no relationships between features, such as hierarchical, spatial, jurisdictional, organizational, administrative, or in any other manner. As an integral part of The National Map, the Gazetteer collects data from a broad program of partnerships with federal, state, and local government agencies and other authorized contributors. The Gazetteer provides data to all levels of government and to the public, as well as to numerous applications through a web query site, web map, feature and XML services, file download services, and customized files upon request. The National Map download client allows free downloads of public domain geographic names data by state in a pipe-delimited text format. For additional information on the GNIS, go to https://www.usgs.gov/tools/geographic-names-information-system-gnis. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata. Data Refreshed March, 2025
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.25549/inscriptifact-ouc110813757
title: Copper Scroll

description: [Text Description:] ❧ list of buried treasure ❧ [Text or Publication Number Note:] 3Q15 Copper Scroll ❧ [Excavation Description:] Found during survey of cliffs at Qumran in March 1952 by Roland de Vaux and William Reed. ❧ [Medium:] Metal ❧ [Script Note:] Jewish ❧ [Physical Object Description:] 23 oxydized copper half-cylinder segments with incised letters
DOI: 10.6084/m9.figshare.29183663
title: Data and code for "A thorny future for sea urchins in the Tropical Western Atlantic"

description: We modeled the potential distribution of three widely distributed sea urchin species from the Tropical Western Atlantic (<i>Lytechinus variegatus</i>, <i>Echinometra lucunter</i> and <i>Tripneustes ventricosus</i>) under three future climate change scenarios for the year 2100 (Shared Socioeconomic Pathways 1, 2 and 3) considering a set of biologically relevant environmental variables. Species distributions were modeled using a Log-Gaussian Cox Process model in a Bayesian framework. We also used a mechanistic model to assess how changes in the thermal regime alone can lead to distributional changes.
DOI: 10.15468/dl.9akfek
title: Occurrence Download

description: A dataset listing the 9 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Guadua angustifolia Kunth"
 ]
}

 The dataset's 9 records were derived from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009350-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nb22z9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Maulisia Parr, 1960",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((7.9237 1.4388,7.9186 1.8496,6.9096 1.8496,6.7752 1.3312,7.0614 0.9078,7.5027 0.9107,7.9237 1.4388))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009360-250525065834625/datasets/export for details.
DOI: 10.15468/dl.5vcujk
title: Occurrence Download

description: A dataset containing 605955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Viet Nam",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 605955 records from 365 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011525-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/sbjyef
title: Wright Casebook Edited; Docketed Case: 82-2519
DOI: 10.7910/dvn/7e2vax
title: Direct and Indirect Costs of Diabetes Mellitus in Mali

description: Direct and Indirect Costs of Diabetes Mellitus in Mali
DOI: 10.7910/dvn/y7teio
title: Data for: Molloy et al. Mouse adenovirus type 1 infection of adipose tissue. Virus Research 2018, 244:90-98.

description: Complete dataset for Molloy et al. Mouse adenovirus type 1 infection of adipose tissue. Virus Research 2018, 244:90-98.
DOI: 10.7910/dvn/9fyqw6
title: A16_30709.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/85290c9c-5029-4393-953c-a86565044320'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/85290c9c-5029-4393-953c-a86565044320
DOI: 10.7910/dvn/9hbt5o
title: Wright Files I-Z Edited; Docketed Case: 71-1472
DOI: 10.7910/dvn/m7tw5l
title: Efficient Approximations to Conditional Autoregressive Prior for Spatial and Spatiotemporal Datasets over Large Lattices

description: This dataverse will give access the data to the reviewers of "Efficient Approximations to Conditional Autoregressive Prior for Spatial and Spatiotemporal Datasets over Large Lattices" to reproduce the outputs of Section 7.2 of the manuscript.
DOI: 10.7910/dvn/m72a0q
title: CCES 2016, Team Module of Reed College (RCO)

description: This dataverse contains the data and supporting documents for the CCES 2016 Reed College. This project was supported by the National Science Foundation, Grant Number SES-1559125.
DOI: 10.7910/dvn/wcexvb
title: G16 outputs – B3LYP/def2-SVPD

description: Output files from the Gaussian 16 (G16) program for the VROA calculations using B3LYP/def2-SVPD.
DOI: 10.7910/dvn/ma5tne
title: Word2vec Word Embeddings (1 year)

description: These are word2vec word embeddings created from article text for each year (e.g. 1998, 1999) from the Daily Nation, a Kenyan newspaper, and the corresponding vocabulary files.
DOI: 10.7910/dvn/mpmnzi
title: QDMlab example data

description: This is example data for the MATLAB toolbox QDMlab. All data measured at the Harvard Department of Planetary Sciences, Paleomagnetics lab.
DOI: 10.7910/dvn/rkdur7
title: Emotion Recognition through AI

description: Emotions are central elements of human experience and communication1. They influence not only our individual decisions and behaviors but also our interactions with others2. Traditionally, the recognition and interpretation of emotions have been the domain of human intuition and psychological expertise3. However, with the advent of Artificial Intelligence (AI) and machine learning, new possibilities have emerged to systematically and automatically recognize and analyze emotions4.

The ability of machines to recognize emotions has the potential to revolutionize a wide range of applications, from healthcare to education, marketing, and customer service5. Emotional intelligence—the ability to recognize, understand, and influence one's own and others' emotions—is a key factor in successful human interactions6. If machines can learn to recognize and respond to emotions, they could be capable of making more effective and empathetic decisions7.

The increasing integration of emotion recognition in technological systems also raises a number of questions8. These concern the technical challenges of accurately recognizing emotions, the ethical implications of data usage and processing, and the societal impacts of the widespread application of such technologies9.
DOI: 10.7910/dvn/ghfhs3
title: Wright Files I-Z Edited; Docketed Case: 78-1945
DOI: 10.7910/dvn/mpg9j
title: House Unpassed Legislation 1847, Docket 1891, SC1/series 230, Petition of Joseph Hinckley

description: &lt;p&gt;Petition subject: Secession from the Union &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11029567"&gt;http://nrs.harvard.edu/urn-3:FHCL:11029567&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Barnstable &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Thomas B. Lewis, Barnstable; committee on the judiciary &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Joseph Hinckley&lt;/li&gt;&lt;li&gt;Polley Hinckley&lt;/li&gt;&lt;li&gt;Sylvia Crowell&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1847-02-20,1847-02-18 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on February 20, 1847 and referred to the committee on the judiciary and tabeled on February 18, 1847 &lt;/p&gt; &lt;p&gt;Total signatures: 11 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred, laid on the table &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 7 &lt;/p&gt; &lt;p&gt;Female signatures: 4 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, legal voters, [females] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Signatory column format: column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: House Unpassed 1847, Docket 1891 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/xnbnik
title: Wright Casebook Edited; Docketed Case: 73-2072
DOI: 10.7910/dvn/9epusx
title: FIDEdatabase

description: Database of FIDE chess ratings and players from 1970.
DOI: 10.7910/dvn/ycjn0f
title: Replication Data for: To Protest or Not to Protest? Migrant Workers Participation in Protests in China

description: This paper explore how and why migrant worker status functions as a moderator between grievances and protest participation. The datafile and do-file for analyses for this paper
DOI: 10.7910/dvn/moydxu
title: California Poll: 5905 -- October 22-27, 1959

description: The Field Poll, established in 1945 as The California Poll by Mervin Field, has operated continuously as an independent, non-partisan, media-sponsored public opinion news service. Each year the Field Polls cover a wide range of political and social topics examining California public opinion. Continuing measures are made of voter support for leading political figures vying for major state and federal offices, job ratings of important political figures and reactions to significant political events. Voter awareness, understanding and predispositions of major campaign issues and salient statewide ballot propositions are also tracked over time. For poll 5905 N=1178.
description: Subject: STANDARD DEPOSIT TERMS 1.0 Type: DATAPASS:TERMS:STANDARD:1.0 Notes: The UCLA Social Science Data Archive (“the Archive”) gives permission and any required licenses to Data-PASS to make the Content available for archiving, preservation and access (with permission of the Archive), within the Data Preservation Alliance for the Social Sciences ("Data-PASS") in accordance with the Data-PASS terms (the "Terms") of use (available from: http://www.icpsr.org/Data-PASS). Including permission to: (a) redisseminate copies of the Data Collection in a variety of distribution formats only according to the standard terms of use of the Archive; (b) promote and advertise the Data Collection in any publicity (in any form) for Data-PASS and the Archive; (c) describe, catalog, validate and document the Content; (d) store, translate, copy or re-format the Data Collection in any way to ensure its future preservation and accessibility, improve usability and/or protect respondent confidentiality; (e) incorporate metadata (cataloging information) or documentation regarding this study into public access catalogues. The Archive represents and warrants that the Content conforms to all Terms and that the Archive is lawfully entitled and has full authority to license Data-Pass to use the Materials in the ways described in the Terms.;
DOI: 10.7910/dvn/molw81
title: Bitcoin metadata

description: Dataset containing the metadata extracted from OP_RETURN transactions in the first 480.000 blocks of the Bitcoin blockchain
DOI: 10.7910/dvn/l7tdav
title: Global data set of Alcohol per se laws 1936-2021

description: Global data set of Alcohol per se laws 1936-2021
DOI: 10.7910/dvn/mbaz4e
title: Wright Files I-Z Edited; Docketed Case: 22752
DOI: 10.7910/dvn/xkuskj
title: Soft anharmonic phonons and ultralow thermal conductivity in Mg3(Sb,Bi)2 thermoelectrics

description: Digitized dataset for manuscript: Soft anharmonic phonons and ultralow thermal conductivity in Mg3(Sb,Bi)2 thermoelectrics
DOI: 10.7910/dvn/glcx29
title: Wright Casebook Edited; Docketed Case: 84-5612
DOI: 10.7910/dvn/lv5fp1
title: Energy Survey 2008

description: Energy Survey 2008. Conducted for the American Clean Skies Foundation.
DOI: 10.7910/dvn/revvtb
title: Prion disease risk uncertainties associated with urine-derived and recombinant fertility drugs (Suppl. Figures S1-S26)

description: Supplementary Figures S1-S26 for citation: Cashman, N.R., Tyshenko, M.G., Cheung, R., Aspinall, W., Wong, M., and Krewski, D. (2018) ‘Prion disease risk uncertainties associated with urine-derived and recombinant fertility drugs’, Int. J. of Risk Assessment and Management,Vol. xy, No. yx, pp.xxx–yyy.
DOI: 10.7910/dvn/rqlrd8
title: 2020-03 Blended TROPOMI+GOSAT

description: 2020-03 Blended TROPOMI+GOSAT
DOI: 10.7910/dvn/geaxgl
title: Massachusetts Archives Collection. v.36-Inter-charter, 1690-1691. SC1/series 45X, Petition of Robert Watson

description: &lt;p&gt;Petition subject: Support for individuals &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13906006"&gt;http://nrs.harvard.edu/urn-3:FHCL:13906006&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1691 &lt;/p&gt; &lt;p&gt;Petition location: [Boston?] &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Robert Watson&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Total signatures: 1 &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 1 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Manuscript &lt;/p&gt; &lt;p&gt;Additional archivist notes: Colonel Samuel Shrimpton, negro Dick, [see volume for additional documents, depositions: pages 443-447, Robert Watson’s case, concerning assault on Colonel Shrimpton’s negro servant, Dick, with intent to kill, face cut, “etc.”, with order, depositions, complaints, and petition and confession of R. Watson, petition on page 447, ca. April 1691] &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Massachusetts Archives volume 36, page 447 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/yaljhc
title: Wright Files I-Z Edited; Docketed Case: 24394
DOI: 10.15468/dl.4jfvb9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rupicapra pyrenaica Bonaparte, 1845)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015241-250525065834625/datasets/export for details.
DOI: 10.7910/dvn/gr7gi8
title: Passed Acts; St. 1843, c.69, SC1/series 229

description: &lt;p&gt;Petition subject: Great Massachusetts Petition &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13448109"&gt;http://nrs.harvard.edu/urn-3:FHCL:13448109&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Massachusetts &lt;/p&gt; &lt;p&gt;Total signatures: 1562 &lt;/p&gt; &lt;p&gt;Unidentified signatures: 1562 &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Additional archivist notes: George Latimer [note: this data reflects the information on the spreadsheet submitted by Henry I. Bowditch and William F. Channing to the legislature, which was filed with St. 1843, c.69, passed April 26, 1843. The majority of the Great Massachusetts Petition has not been located. The final number represents 26 unknown towns.] &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: St. 1843, c.69, passed April 26, 1843 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.15468/dl.6awm6q
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015236-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/0b9v-sv30
title: "DigitConfuse-23k: A Synthetic Dataset of Digit Confusion Patterns"

description: "\ud83d\udcca DigitConfuse-23k: A Synthetic Dataset of Digit Confusion PatternsDigitConfuse-23k is a synthetic dataset containing 23,000 images of digit pairs designed to capture visual anomalies and confusion cases commonly encountered in OCR, CAPTCHA recognition, optical illusions and human digit interpretation tasks.Each image contains two-digit numbers generated using the Humor-Sans font (font_size=32, cell_w=60, cell_h=40). For each confusion category, ~1000 images are included.The dataset is also made available on other trusted public dataset repositories for better transparency and wider usage. \ud83d\udd22 Categories of Digit Anomalies\ud83d\udd38 Digit shape confusion (similar glyphs) \u2192 11 \u2194 17, 21 \u2194 27, 71 \u2194 77\ud83d\udd04 Mirror \/ rotation confusion \u2192 69 \u2194 96, 68 \u2194 86, 89\u219498,  26 \u2194 62\ud83c\udfaf One-pixel stroke differences \u2192 33 \u2194 38, 35 \u2194 36, 53 \u2194 58, 39\u219489\ud83c\udf00 Closed vs. open loop confusion \u2192 38 \u2194 88, 98 \u2194 99, 18 \u2194 19, 56\u219458, 28\u219488\u27bf Nearly identical when repeated \u2192 88 \u2194 89, 11 \u2194 12, 55 \u2194 56\ud83d\udc40 Human OCR-like errors (CAPTCHA\/OCR cases) \u2192 47 \u2194 17, 57 \u2194 37, 12 \u2194 72, 14 \u2194 74\ud83c\udfaf Applications\ud83e\uddea Benchmarking OCR systems\ud83d\udee1 Studying digit recognition robustness\ud83d\udd11 Training models for noisy \/ CAPTCHA-like digits\ud83d\udea8 Anomaly detection in digit datasets"
DOI: 10.22033/esgf/cmip6.13965
title: NASA-GISS GISS-E2.1H model output prepared for CMIP6 CFMIP abrupt-2xCO2

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CFMIP.NASA-GISS.GISS-E2-1-H.abrupt-2xCO2' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'.
 
 The GISS-E2.1H climate model, released in 2019, includes the following components:
 aerosol: Varies with physics-version (p==1 none, p==3 OMA, p==4 TOMAS, p==5 MATRIX), atmos: GISS-E2.1 (2.5x2 degree; 144 x 90 longitude/latitude; 40 levels; top level 0.1 hPa), atmosChem: Varies with physics-version (p==1 Non-interactive, p&gt;1 GPUCCINI), land: GISS LSM, ocean: HYCOM Ocean (~1 degree tripolar grid; 360 x 180 longitude/latitude; 33 levels; top grid cell 0-10 m), seaIce: GISS SI. 
The model was run by the Goddard Institute for Space Studies, New York, NY 10025, USA (NASA-GISS) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 100 km, seaIce: 250 km. 

Project: These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).

CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ).

The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. - Project website: https://pcmdi.llnl.gov/CMIP6.