cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r3atu9
title: Occurrence Download

description: A dataset containing 266 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.28_1",
 "TaxonKey is Reaumuria songarica"
 ]
}

 The dataset includes 266 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048735-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48610/5be0717
title: Emotion word selections - Validation wheel - GBR region - 2024

description: This dataset contains a frequency table of 'emotion words' related to the environment at three scales: Favourite Place; Local Region; Great Barrier Reef. 

Research participants were asked to select three words that best represented their emotional responses to the environment at each of the three scales (9 words in total).

Study area: Great Barrier Reef region
Localities: Bundaberg; Gladstone; Mackay; Townsville; Cairns; Cooktown
Year: 2024
Data collection method: Focus groups
File type: Excel spreadsheet
DOI: 10.7910/dvn/gk3tmy
title: Replication Data for: The Ideological Asymmetry of White Identity

description: This is replication data and code files for the manuscript "The Ideological Asymmetry of White Identity."
DOI: 10.7910/dvn/lzvce
title: Senate Unpassed Legislation 1836, Docket 9794, SC1/series 231, Petition of Bryant Newcomb

description: &lt;p&gt;Petition subject: Against the resolutions to suppress abolitionist societies and publications &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11857828"&gt;http://nrs.harvard.edu/urn-3:FHCL:11857828&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Braintree &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Joseph Richards, Braintree; committee who have that subject under consideration &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Bryant Newcomb&lt;/li&gt;&lt;li&gt;Samuel Newcomb&lt;/li&gt;&lt;li&gt;Jonathan Pratt Jr.&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Legislative action: Referenced to the committee who have that subject under consideration &lt;/p&gt; &lt;p&gt;Total signatures: 27 &lt;/p&gt; &lt;p&gt;Legislative action summary: Referenced &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 27 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens, ["others"] &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;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: Senate Unpassed 1836, Docket 9794 &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/mk6sxt
title: Replication Data for: "Audiobook Stylistics: Comparing Print and Audio in the Bestselling Segment"

description: Partial replication data and code for the article "Audiobook Stylistics: Comparing Print and Audio in the Bestselling Segment", for exploring differences in stylistic properties among bestsellers and beststreamers in Swedish fiction.
DOI: 10.7910/dvn/hjsg5
title: BELIZE (2010): HIV/AIDS TRaC STUDY EVALUATING CONDOM USE AMONG MSM IN BELIZE CITY, CAYO, ORANGE WALK, COROZAL TOWN AND STANN CREEK. ROUND TWO.

description: The purpose of this study is to provide an assessment of the key health behaviors, determinant and exposure to PSI programming among men who have sex with male (MSM) in five (5) districts in Belize where PASMO (Pan-American Social Marketing Organization) is implementing a USAID funded project targeting MSM. The survey was conducted in the following districts: Belize City, Cayo, Orange Walk, Corozal Town and Stan Creek.
DOI: 10.7910/dvn/gxkl22
title: Replication Data for: Elements of an evolutionary approach to comparative economic studies: complexity, systemism, and path dependent development

description: All data and code necessary to replicate the results of the paper "Elements of an evolutionary approach to comparative economic studies: complexity, systemism, and path dependent development". For a more detailed description of data and code see the associated repository on Github: https://github.com/graebnerc/evol-comparative-studies
DOI: 10.7910/dvn/qraih8
title: ODOT Organizational Assessment Survey, 2007
DOI: 10.7910/dvn/wck08t
title: Universal Vote-by-Mail Increases Democratic Vote Share

description: Replication data for "Universal Vote-by-Mail Increases Democratic Vote Share" by Christopher T. Kenny and Dominic J. Valentino. This paper is a replication and extension of Thompson, D. M., Wu, J. A., Yoder, J., & Hall, A. B. (2020). Universal vote-by-mail has no impact on partisan turnout or vote share. Proceedings of the National Academy of Sciences.
DOI: 10.7910/dvn/hlgjvk
title: Wright Files I-Z Edited; Docketed Case: 23649
DOI: 10.7910/dvn/gk8ysq
title: 2010 State Snapshots
title: Agency for Healthcare Research and Quality

description: Users can access data related to quality of health care for each state and the District of Columbia.
&lt;p&gt;&lt;b&gt;Background&lt;/b&gt;&lt;/p&gt; 2010 State Snapshots is a database maintained by the Agency for Healthcare Research and Quality (AHRQ). Data is based on information collected from the National Healthcare Quality Report (NHQR). 2010 State Snapshots database offers an in-depth analysis of the quality of care – by type of condition, level of care, treatment setting, race and income, and insurance status. &lt;p&gt;&lt;b&gt;User functionality &lt;/b&gt;&lt;/p&gt; Users can search for state data by using the interactive map and cl
icking on the state. Users are given data for the most recent year (2010) and baseline data year which varies by state. Each state has information on the state dashboard which includes information on types of care, settings of care, and care by clinical area. Users also have the option to focus on diabetes care, asthma care, healthy people 2010 goals, clinical preventative services, disparities in care, payer, and variation in overtime. Data is presented in tables or visual charts. Data is available for download using excel and XML format.
&lt;p&gt;&lt;b&gt;Data Notes &lt;/b&gt;&lt;/p&gt; Detailed information about the data is available under the “Methods” section. The website does not indicate when new data will become available.
DOI: 10.7910/dvn/wp0wu0
title: Wright Casebook Edited; Docketed Case: 74-1763
DOI: 10.7910/dvn/7hxjkl
title: Australian attitude toward Euthanasia and Religiosity

description: a causality analysis
DOI: 10.7910/dvn/r9cf6z
title: Jornal dos Sports 833

description: Newspaper
DOI: 10.7910/dvn/rkzn46
title: An Investigation of Undergraduate Pre-service Teachers' Beliefs on Digital Learning Materials Usage in Teaching and Learning in Tanzania

description: The dataset aims to publish data used to write a manuscript for journal publication. The data were collected from undergraduate pre-service teachers' beliefs regarding the use of digital learning materials in teaching and learning. Quantitative data collected were related to the pre-service teachers, normative beliefs, affective beliefs and control beliefs about usage of digital learning materials in daily teaching and learning process. Qualitative data were collected to address the general behavioural aspects of pre-service teachers, affective beliefs, normative beliefs and outcome beliefs on digital learning materials usage. The data can be used to write manuscripts for comparative studies and analysis of teaching and learning environment that responds to the pre-service teachers' expectations.
DOI: 10.7910/dvn/76251c
title: Wright Files I-Z Edited; Docketed Case: 79-1587
DOI: 10.7910/dvn/rjzoqg
title: student_perceptions_of_AI

description: Survey responses for a pilot study looking at High School Students’ Perceptions of using AI for Learning. The raw data is in Excel format, and an R Markdown document has been provided, which includes the R coding for data analysis.
DOI: 10.7910/dvn/w44pqc
title: Wright Casebook Edited; Docketed Case: 76-1734
DOI: 10.15468/dl.jpu7ae
title: Occurrence Download

description: A dataset containing 39909 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Dutch Vegetation Database",
 "Geometry POLYGON((5.05379 51.51856,5.25195 51.5534,5.24231 51.69308,4.98535 51.70241,4.85811 51.60971,5.05379 51.51856))"
 ]
}

 The dataset includes 39909 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015232-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/7ednm4
title: Executive Agreements Database, Statement Regarding the Agreement Between The United States and Mexico Concerning Transboundary Hydrocarbon Reservoirs In The Gulf Of Mexico Signed February 20, 2012 Entered Into Force July 18, 2014

description: TIAS 14-718 cover memo
DOI: 10.7910/dvn/tpcs6p
title: Slow Surface Subsidence and its Impact on Shallow Loess Landslides in Coal Mining Areas

description: Widespread Slow Surface Subsidence and its Impact on Shallow 
Loess Landslides in Coal Mining Areas
DOI: 10.7910/dvn/m01xeu
title: Wright Files I-Z Edited; Docketed Case: 85-5909
DOI: 10.7910/dvn/m3alul
title: State of Aadhaar Survey 2017-18 Datasets

description: Contains the following data sets:

a. Non-roster: The non-roster component of the survey includes questions on the respondent or their household (as a whole), as opposed to each household member.

i. SOA2018_nonroster_cleaned.dta: Cleaned data for the non-roster component of the survey.
ii. SOA2018_nonroster_cleaned.csv: The .csv version of the above .dta file.
iii. SOA2018_nonroster_cleaned_gen.dta: The output of running 00_genvar_nonroster_pub.do on SOA2018_nonroster_cleaned.dta to generate variables used for analysis (see “State of Aadhaar Survey 2017-18 Do_files”). The newly generated variables serve as inputs for our section-by-section analysis–do files.
iv. SOA2018_nonroster_cleaned_gen.csv: The .csv version of the above .dta file.

b. Roster: The roster component of the survey includes questions on all members of the respondent’s household (one for each member).

i. SOA2018_roster_cleaned.dta: Cleaned data for the roster component of the survey.
ii. SOA2018_roster_cleaned.csv: The .csv version of the above .dta file.
iii. SOA2018_roster_cleaned_gen.dta: The output of running 0_genvar_roster_pub.do on SOA2018_roster_cleaned.dta to generate variables used for analysis (see “State of Aadhaar Survey 2017-18 Do_files”). The newly generated variables serve as inputs for our section-by-section analysis–do files.
iv. SOA2018_roster_cleaned_gen.csv: The .csv version of the above .dta file.
DOI: 10.7910/dvn/oiwuth
title: Cardiac MR images of thalassemia major patients with myocardial iron overload

description: Cardiac MR images and echocardiographic data of thalassemia major patients with myocardial iron overload (with Control group)
DOI: 10.7910/dvn/hjzqrx
title: Study of Hispanic Veterans, 1978

description: The purpose of this project was to provide the Veterans Administration with accurate, scientifically-derived information. The proposed expansion of Veterans Administration health service into barrios and areas of high-concentration Hispanic populations in Los Angeles required that the VA gather information about the exact health needs and desires, health problems and health behavior of Spanish-surnamed veterans as well as services they currently used. The study covers veteran's knowledge of, attitudes towards and utilization of Veterans Administration health services. Respondents were selected by random from those who had used VA facilities since January 1978, to represent the total population of veterans living in Los Angeles county who use VA facilities. There are two sets of data for this study: a user sample covering those who have used VA facilities, and a community sample of all veterans. N=1088 veterans.
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/xkerru
title: Replication Data for: Evaluating the Response Effort and Data Quality of Established Political Solidarity Measures - A Pre-Registered Experimental Test in an Online Survey of the German Adult Resident Population in 2021

description: The dataset allows to replicate the results of the following article: Goerres, A., & Höhne, J. K. (2022; accepted). Evaluating the Response Effort and Data Quality of Established Political Solidarity Measures - A Pre-Registered Experimental Test in an Online Survey of the German Adult Resident Population in 2021. Quality and Quantity.
DOI: 10.22033/esgf/cmip6.10075
title: NCAR CESM2-WACCM model output prepared for CMIP6 AerChemMIP piClim-2xNOx

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.AerChemMIP.NCAR.CESM2-WACCM.piClim-2xNOx' 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 CESM2-WACCM climate model, released in 2018, includes the following components:
 aerosol: MAM4 (same grid as atmos), atmos: WACCM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 70 levels; top level 4.5e-06 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320 x 384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). 
The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 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.
DOI: 10.22033/esgf/cmip6.15299
title: MPI-M MPI-ESM1.2-HR model output prepared for CMIP6 GeoMIP G6solar

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.GeoMIP.MPI-M.MPI-ESM1-2-HR.G6solar' 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 MPI-ESM1.2-HR climate model, released in 2017, includes the following components:
 aerosol: none, prescribed MACv2-SP, atmos: ECHAM6.3 (spectral T127; 384 x 192 longitude/latitude; 95 levels; top level 0.01 hPa), land: JSBACH3.20, landIce: none/prescribed, ocean: MPIOM1.63 (tripolar TP04, approximately 0.4deg; 802 x 404 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). 
The model was run by the Max Planck Institute for Meteorology, Hamburg 20146, Germany (MPI-M) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, land: 100 km, landIce: none, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 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.
DOI: 10.22033/esgf/cmip6.1782
title: CAS FGOALS-f3-L model output prepared for CMIP6 CMIP

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.CMIP.CAS.FGOALS-f3-L' 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 FGOALS-f3-L climate model, released in 2017, includes the following components:
 atmos: FAMIL2.2 (Cubed-sphere, c96; 360 x 180 longitude/latitude; 32 levels; top level 2.16 hPa), land: CLM4.0, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. 
The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 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.
DOI: 10.22033/esgf/cmip6.2046
title: CAS FGOALS-f3-L model output prepared for CMIP6 ScenarioMIP

description: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets: These data include all datasets published for 'CMIP6.ScenarioMIP.CAS.FGOALS-f3-L' 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 FGOALS-f3-L climate model, released in 2017, includes the following components:
 atmos: FAMIL2.2 (Cubed-sphere, c96; 360 x 180 longitude/latitude; 32 levels; top level 2.16 hPa), land: CLM4.0, ocean: LICOM3.0 (LICOM3.0, tripolar primarily 1deg; 360 x 218 longitude/latitude; 30 levels; top grid cell 0-10 m), seaIce: CICE4.0. 
The model was run by the Chinese Academy of Sciences, Beijing 100029, China (CAS) in native nominal resolutions: atmos: 100 km, land: 100 km, ocean: 100 km, seaIce: 100 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.