cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/xwis3h
title: Replication data for: Entrepreneurial Migration

description: Replication Dataset for. 

Bryan, Kevin, and Jorge Guzman. "Entrepreneurial Migration" The Review of Economics and Statistics
description: Volume XX, Issue X
DOI: 10.7910/dvn/ablbeg
title: Physical characteristics of soil samples

description: The table presents data on soil characteristics, as determined in a laboratory setting through the analysis of soil samples collected for the purpose. The same samples were utilized for both the laboratory analysis and the CT scans. The following properties were quantified: total porosity, dry bulk density, and field capacity.
DOI: 10.7910/dvn/ao7dtp
title: Replication Data for: Lacking Legislative Experience

description: This dataset includes data and code needed to replicate all models, tables, and figures in this paper. If you use this data, please cite the article in The Journal of Law and Courts as well as this dataset.
DOI: 10.7910/dvn/do66zr
title: COVID-19 Treatment Combinations and Associations with Mortality in a Large Multi-Site Healthcare System

description: This is the de-identified dataset used for the analyses in this manuscript.
DOI: 10.7910/dvn/h2xbz9
title: Massachusetts Archives Collection. v.41-Judicial, 1725-1742. SC1/series 45X, Petition of Robert Auchmuty

description: &lt;p&gt;Petition subject: Court cases &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:13906009"&gt;http://nrs.harvard.edu/urn-3:FHCL:13906009&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: 1739 &lt;/p&gt; &lt;p&gt;Petition location: Boston &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Robert Auchmuty&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1739-10-04,1739-10-04,1739-12-14,1739-12-14 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the Council on October 4, 1739 and read and ordered and sent for concurrence and received in the House on October 4, 1739 and read and concurred and received in the Council on December 14, 1739 and read again together with the answer of Hewes and ordered and sent for concurrence and received in the House on December 14, 1739 and read and concurred &lt;/p&gt; &lt;p&gt;Total signatures: 1 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, read, ordered, sent, received, read, concurred, received, read, ordered, sent, received, read, concurred &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;Identifications of signatories: Nathaniel Cunningham, merchant &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: Nathaniel Cunningham, George Hewes, Robert Hewes, Cato, Nero, Quagno, Scipio, [additional documents in volumes] &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: Massachusetts Archives volume 41, pages 425-427 &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/lccczv
title: A08_17044.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/650be25f-f88d-8458-7e8d-f502f096d8c9'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/650be25f-f88d-8458-7e8d-f502f096d8c9
DOI: 10.7910/dvn/og0vyb
title: Constituent Influence on International Trade Policy in the United States, 1987–2006

description: The debate on whether class-based or industry-based coalitions are politically salient in American trade politics has illuminated domestic sources of international trade policy but remains unresolved. In particular, the literature offers contradictory evidence on the dominance in recent years of class-based or industry-based trade politics. This contradiction is mainly due to selective use of congressional votes. This article contributes to this debate by applying a multilevel item-response-theory model to the entire universe of trade-related votes since 1987. This study finds that class-based coalitions are politically salient in current U.S. trade politics. Furthermore, while this study confirms the significance of party influence on trade voting, it finds little support for the view that political parties have dyadic relationships with particular groups of constituents.
DOI: 10.7910/dvn/r68rlm
title: COVID-19 in Senegal - A Household Survey to Assess Education, Economic, and Health-Related Outcomes

description: The survey took place in May 2021 with a nationally representative sample of 984 households. This data has been collected as part of PREPARE: a consortium of research organisations from Ghana, Kenya, Malawi, Senegal, and Pakistan, all focused on the educational challenges posed by COVID-19.
DOI: 10.7910/dvn/rvrcap
title: Replication data for: The Need for Speed: Demand, Regulation, and Welfare on the Margin of Alternative Financial Services

description: Replication code for The Need for Speed: Demand, Regulation, and Welfare on the Margin of Alternative Financial Services
description: Volume XX, Issue X
DOI: 10.7910/dvn/yxmgmu
title: Replication data for: "Party Over Pocketbook? How Party Cues Influence Opinion When Citizens Have a Stake in Policy"

description: Data and code to replicate findings in "Party Over Pocketbook? How Party Cues Influence Opinion When Citizens Have a Stake in Policy" by Rune Slothuus and Martin Bisgaard, forthcoming in American Political Science Review.
DOI: 10.7910/dvn/4uomeh
title: Simulation dataset

description: The simulated dataset used in the paper:
Zhuozhao Zhan, Vasan S. Ramachandran, Edwin van den Heuvel, Joint modeling with time-dependent treatment and heteroskedasticity: Bayesian analysis with application to the Framingham Heart Study
DOI: 10.7910/dvn/cpm3y3
title: Replication Data for: Testing the Automation Revolution Hypothesis

description: Data taken from O*NET, OES, and independent researchers, cleaned, filtered, and reshaped in formats that should be more accessible and useful for fellow researchers. Filtering primarily consisted of taking a series of datasets with different formats and updates at specific time periods and transformating them into a single data format, easily accessible and searchable. Data can be easily selected for only OES or only O*NET data points. All code and raw data are included. Additional included analysis demonstrates how to use interpolation to approximate missing values in the sparse data set to match against an O*NET variable of interest.
DOI: 10.15468/dl.fp5622
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brownlowia argentata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 99 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004996-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18449071
title: METHODOLOGYOFTEACHINGTHERUSSIANLANGUAGEINTHESYSTEMOFEVENINGEDUCATIONFORSTUDENTSOFNON-LINGUISTICSPECIALTIES

description: The article examines theoretical and practical aspects of teaching the Russian language within the system of evening education for students of non-linguistic specialties. Particular attention is paid to the specific characteristics of adult learners, the goals and objectives of instruction, the selection of teaching materials, teaching methods and forms, as well as the application of modern pedagogical technologies. Based on an analysis of contemporary methodological approaches, the necessity of a communicative and practice-oriented focus of instruction and the use of professionally oriented tasks to enhance the effectiveness of language acquisition is substantiated. Recommendations are provided for organizing the educational process with consideration of limited classroom time and the motivational characteristics of evening students.
DOI: 10.5281/zenodo.18449070
title: METHODOLOGYOFTEACHINGTHERUSSIANLANGUAGEINTHESYSTEMOFEVENINGEDUCATIONFORSTUDENTSOFNON-LINGUISTICSPECIALTIES

description: The article examines theoretical and practical aspects of teaching the Russian language within the system of evening education for students of non-linguistic specialties. Particular attention is paid to the specific characteristics of adult learners, the goals and objectives of instruction, the selection of teaching materials, teaching methods and forms, as well as the application of modern pedagogical technologies. Based on an analysis of contemporary methodological approaches, the necessity of a communicative and practice-oriented focus of instruction and the use of professionally oriented tasks to enhance the effectiveness of language acquisition is substantiated. Recommendations are provided for organizing the educational process with consideration of limited classroom time and the motivational characteristics of evening students.
DOI: 10.15468/dl.24rccz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - Austria"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004998-260129131611470/datasets/export for details.
DOI: 10.15468/dl.rswws7
title: Occurrence Download

description: A dataset listing the 4142373 species recorded in GBIF matching the query:
{ }

 The dataset's 4142373 records were derived from 88637 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004988-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xwxgcw
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Callirhoe triangulata",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 75 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004999-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31223788
title: <b>Africa MATRIX: </b><b>Demographic compensation across biomes stabilizes Africa’s forest structure under climate change</b>

description: <b>Overview</b>This Figshare deposit provides the processed datasets, trained Random Forest model objects, validation outputs, and climate covariates supporting the Africa MATRIX forest demographic modeling framework.These materials enable reproduction of model training, evaluation, and simulation results reported in the associated manuscript, including demographic rate estimation (mortality, upgrowth, recruitment), cross-validation, cross-sample interval validation (Inventory 1 → Inventory 2), and long-term forest projections (2010–2100) under constant and scenario-based climate forcing (e.g., SSP1–2.6 and SSP5–8.5).All simulations were implemented in R and executed on Linux-based high-performance computing systems. The complete preprocessing, training, validation, and projection scripts are available separately via the companion GitHub repository.<b>Contents of this deposit</b>This repository includes the following components:<b>Processed training and simulation datasets</b><br>Plot- and state-space–level inputs used for model training and projection, including species-group × DBH-class abundance matrices and structural and diversity metrics.<b>Trained Random Forest models</b><br>Serialized R model objects (<code>.rds</code>) for mortality, upgrowth, and recruitment, including feature lists and tuned hyperparameters.<b>Validation outputs</b><br>Out-of-fold predictions from 5-fold cross-validation and outputs from forward (Inventory 1 → Inventory 2) simulation used to assess emergent stand dynamics.<b>Climate covariates</b><br>Static baseline climate inputs and annual plot-level climate time series for SSP1–2.6 and SSP5–8.5 projection scenarios.<b>Relationship to code</b>All R scripts used to generate the contents of this deposit—including preprocessing, model training, cross-validation, forward validation, and long-term projections—are publicly available in the associated GitHub repository and are not duplicated here.<b>License</b>All files in this deposit are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license unless otherwise noted.<b>Citation</b>Please cite this Figshare deposit when using these data or model objects:<i>DOI will appear here after publication.</i><b>Contact</b>Desmond Sosu Mensah<br>Department of Forestry and Natural Resources, Purdue University<br>Email: dmensah@purdue.edu / desmondsosumensah@gmail.com
DOI: 10.6084/m9.figshare.31223788.v1
title: <b>Africa MATRIX: </b><b>Demographic compensation across biomes stabilizes Africa’s forest structure under climate change</b>

description: <b>Overview</b>This Figshare deposit provides the processed datasets, trained Random Forest model objects, validation outputs, and climate covariates supporting the Africa MATRIX forest demographic modeling framework.These materials enable reproduction of model training, evaluation, and simulation results reported in the associated manuscript, including demographic rate estimation (mortality, upgrowth, recruitment), cross-validation, cross-sample interval validation (Inventory 1 → Inventory 2), and long-term forest projections (2010–2100) under constant and scenario-based climate forcing (e.g., SSP1–2.6 and SSP5–8.5).All simulations were implemented in R and executed on Linux-based high-performance computing systems. The complete preprocessing, training, validation, and projection scripts are available separately via the companion GitHub repository.<b>Contents of this deposit</b>This repository includes the following components:<b>Processed training and simulation datasets</b><br>Plot- and state-space–level inputs used for model training and projection, including species-group × DBH-class abundance matrices and structural and diversity metrics.<b>Trained Random Forest models</b><br>Serialized R model objects (<code>.rds</code>) for mortality, upgrowth, and recruitment, including feature lists and tuned hyperparameters.<b>Validation outputs</b><br>Out-of-fold predictions from 5-fold cross-validation and outputs from forward (Inventory 1 → Inventory 2) simulation used to assess emergent stand dynamics.<b>Climate covariates</b><br>Static baseline climate inputs and annual plot-level climate time series for SSP1–2.6 and SSP5–8.5 projection scenarios.<b>Relationship to code</b>All R scripts used to generate the contents of this deposit—including preprocessing, model training, cross-validation, forward validation, and long-term projections—are publicly available in the associated GitHub repository and are not duplicated here.<b>License</b>All files in this deposit are released under the Creative Commons Attribution 4.0 International (CC BY 4.0) license unless otherwise noted.<b>Citation</b>Please cite this Figshare deposit when using these data or model objects:<i>DOI will appear here after publication.</i><b>Contact</b>Desmond Sosu Mensah<br>Department of Forestry and Natural Resources, Purdue University<br>Email: dmensah@purdue.edu / desmondsosumensah@gmail.com
DOI: 10.6084/m9.figshare.30267025
title: Genome assembly and annotation of <i>Allium roylei</i>

description: The genus Allium including key crops such as onion, garlic, and bunching onion. These species are cultivated globally, valued not only as vegetables but also for their distinctive flavours, nutritional benefits, and health-promoting bioactive compounds. Despite their economic and dietary importance, genomic studies in Allium have been challenging because of their unusually large genome sizes (10–30 Gb) and the dominance of repetitive elements, which have hindered efforts to obtain high-quality assemblies with short-read sequencing. We performed assembly and annotation with PacBio long-read sequencing for <i>Allium roylei</i>. The final assembly analysis resulted in a total of 1,665 scaffolds, a genome size of 15.137 Gbp and an N50 length of 1.9 Gbp. Among these data, we confirmed 8 scaffolds exceeded 1 Gbp and classified as chromosome-level. The completeness of BUSCO rate was over 95%. A total gene set of 57,847 was identified.
DOI: 10.6084/m9.figshare.30267025.v2
title: Genome assembly and annotation of <i>Allium roylei</i>

description: The genus Allium including key crops such as onion, garlic, and bunching onion. These species are cultivated globally, valued not only as vegetables but also for their distinctive flavours, nutritional benefits, and health-promoting bioactive compounds. Despite their economic and dietary importance, genomic studies in Allium have been challenging because of their unusually large genome sizes (10–30 Gb) and the dominance of repetitive elements, which have hindered efforts to obtain high-quality assemblies with short-read sequencing. We performed assembly and annotation with PacBio long-read sequencing for <i>Allium roylei</i>. The final assembly analysis resulted in a total of 1,665 scaffolds, a genome size of 15.137 Gbp and an N50 length of 1.9 Gbp. Among these data, we confirmed 8 scaffolds exceeded 1 Gbp and classified as chromosome-level. The completeness of BUSCO rate was over 95%. A total gene set of 57,847 was identified.
DOI: 10.6084/m9.figshare.30267025.v1
title: Genome assembly and annotation of <i>Allium roylei</i>

description: The genus Allium including key crops such as onion, garlic, and bunching onion. These species are cultivated globally, valued not only as vegetables but also for their distinctive flavours, nutritional benefits, and health-promoting bioactive compounds. Despite their economic and dietary importance, genomic studies in Allium have been challenging because of their unusually large genome sizes (10–30 Gb) and the dominance of repetitive elements, which have hindered efforts to obtain high-quality assemblies with short-read sequencing. We performed assembly and annotation with PacBio long-read sequencing for <i>Allium roylei</i>. The final assembly analysis resulted in a total of 1,665 scaffolds, a genome size of 15.137 Gbp and an N50 length of 1.9 Gbp. Among these data, we confirmed 8 scaffolds exceeded 1 Gbp and classified as chromosome-level. The completeness of BUSCO rate was over 95%. A total gene set of 57,847 was identified.
DOI: 10.15468/dl.2jtxtf
title: Occurrence Download

description: A dataset containing 223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Camptostemon schultzii",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 223 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005000-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v9pc7d
title: Occurrence Download

description: A dataset containing 3686290 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bryophyte data for Great Britain and Ireland from the British Bryological Society held by BRC"
 ]
}

 The dataset includes 3686290 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004992-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18449100
title: THEROLEOFAIALGORITHMSINDETECTINGSTUDENTS'PRONUNCIATIONERRORS

description: Detecting pronunciation errors is a critical step in developing second-language speaking proficiency. Traditional evaluation methods rely on teacher judgment or peer feedback, which can be subjective and inconsistent. With emerging artificial intelligence (AI) technologies such as automatic speech recognition (ASR) and machine learning models, pronunciation error detection has shifted toward more objective, data-driven approaches. This article examines how AI algorithms identify and categorize pronunciation errors, enhance diagnostic precision, and support personalized learning pathways. Recent research reveals that AI-supported systems can detect subtle phonological deviations and provide real-time corrective feedback, representing a major pedagogical advancement over traditional assessment practices.
DOI: 10.5281/zenodo.18449101
title: THEROLEOFAIALGORITHMSINDETECTINGSTUDENTS'PRONUNCIATIONERRORS

description: Detecting pronunciation errors is a critical step in developing second-language speaking proficiency. Traditional evaluation methods rely on teacher judgment or peer feedback, which can be subjective and inconsistent. With emerging artificial intelligence (AI) technologies such as automatic speech recognition (ASR) and machine learning models, pronunciation error detection has shifted toward more objective, data-driven approaches. This article examines how AI algorithms identify and categorize pronunciation errors, enhance diagnostic precision, and support personalized learning pathways. Recent research reveals that AI-supported systems can detect subtle phonological deviations and provide real-time corrective feedback, representing a major pedagogical advancement over traditional assessment practices.
DOI: 10.34740/kaggle/dsv/14697047
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.75ce4t
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carpodiptera africana",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 55 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005003-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwhjpw
title: Occurrence Download

description: A dataset containing 11904931 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "Geometry POLYGON((3.47478 47.55499,3.3909 46.36402,5.76445 46.29693,5.66381 48.42725,3.47478 47.55499))"
 ]
}

 The dataset includes 11904931 records from 1697 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004977-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10949808
title: On the Moreau–Jean scheme with the Frémond impact law: energy conservation and dissipation properties for elastodynamics with contact, impact and friction — data

description: This deposit contains the data output of the systems described in On the Moreau–Jean scheme with the Frémond impact law. Energy conservation and dissipation properties for elastodynamics with contact impact and friction. The codes that generated this data are available in another deposit archived on Zenodo, as well as in a GitHub repository archived on Software Heritage, which is the preferred method of obtaining the codes. Two of the files in this deposit ("deformed_sliding_block_mesh.png" and "sliding_block_mesh.png") are required for one of the codes in the code deposit to run successfully ("block_mesh_plot.py", with the files assumed to be located in the folder specified in the data_folder variable of the file "path_file.py"), but the deposits are otherwise independent.