cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.pkcs9h
title: Occurrence Download

description: A dataset containing 96281 records in GBIF matching the query:
SELECT
 '394' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 37.42857426825602
 AND decimalLatitude &lt;= 41.89415215079384
 AND decimalLongitude &gt;= -125.87556979961315
 AND decimalLongitude &lt;= -115.12824358810933
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 96281 records were derived from 341 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010434-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7vsxx
title: Occurrence Download

description: A dataset containing 19177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "Geometry POLYGON((-172.5 53.27,-144.63 53.27,-144.63 64.31,-172.5 64.31,-172.5 53.27))",
 "HasCoordinate is true",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0, CC0 1.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ochrophyta"
 ]
}

 The dataset includes 19177 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010439-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.96s9pc
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parastrephia phyliciformis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010440-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18364836
title: SuperDARN data in netCDF format (2004-Jul)

description: 2004-Jul SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6727002
title: SuperDARN data in netCDF format (2004-Jul)

description: 2004-Jul SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.18365053
title: WAY TO INCREASE THE COMPETITIVENESS OF INDUSTRIAL ENTERPRISES IN THE DIGITAL ECONOMY

description: This paper examines strategic and operational pathways for enhancing the competitiveness of industrial enterprises within the rapidly expanding digital economy. By combining theoretical frameworks with empirical observations, the study articulates a multi-dimensional model of competitiveness that incorporates digital transformation, automation, data-driven management, supply-chain digitalization, and human capital development. The research draws on national examples—Almalyk Mining and Metallurgical Combine (AMMC), Navoi Mining and Metallurgical Combine (NMMC), and UzAuto Motors—to illustrate applied practices in Uzbekistan. Policy recommendations and a practical roadmap for firms and policymakers are proposed. The article uses analytical-methodical approaches, statistical review, and SWOT analysis to develop actionable conclusions.
DOI: 10.5281/zenodo.18365054
title: WAY TO INCREASE THE COMPETITIVENESS OF INDUSTRIAL ENTERPRISES IN THE DIGITAL ECONOMY

description: This paper examines strategic and operational pathways for enhancing the competitiveness of industrial enterprises within the rapidly expanding digital economy. By combining theoretical frameworks with empirical observations, the study articulates a multi-dimensional model of competitiveness that incorporates digital transformation, automation, data-driven management, supply-chain digitalization, and human capital development. The research draws on national examples—Almalyk Mining and Metallurgical Combine (AMMC), Navoi Mining and Metallurgical Combine (NMMC), and UzAuto Motors—to illustrate applied practices in Uzbekistan. Policy recommendations and a practical roadmap for firms and policymakers are proposed. The article uses analytical-methodical approaches, statistical review, and SWOT analysis to develop actionable conclusions.
DOI: 10.15468/dl.6yuxdk
title: Occurrence Download

description: A dataset containing 2873226134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Thecamoeba, Vannella, Rhizamoeba, Pelomyxa, Heleopera, Padaungiella, Hyalosphenia, Arcella, Centropyxis, Quadrulella, Penardochlamys, Nebela, Multicilia, Erpobdella, Theromyzon, Haemadipsa, Haemopis, Alma, Eiseniella, Animalia, Dero, Tubificoides, Barbronia, Enchytraeus, Lumbricillus, Allonais, Baltidrilus, Peloscolex, Lumbriculus, Stylodrilus, Aporrectodea, Dendrobaena, Alboglossiphonia, Glossiphonia, Helobdella, Torix, Piscicola)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2873226134 records from 55963 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010360-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2fmc2xrdvt.1
title: LINF_180019800

description: DnaJ domain-containing protein | JDP37 | J37
Leishmania infantum (strain JPCM5)
DOI: 10.17632/2fmc2xrdvt
title: LINF_180019800

description: DnaJ domain-containing protein | JDP37 | J37; Leishmania infantum (strain JPCM5)
DOI: 10.17632/2fmc2xrdvt.2
title: LINF_180019800

description: DnaJ domain-containing protein | JDP37 | J37; Leishmania infantum (strain JPCM5)
DOI: 10.7910/dvn/2lgwjr
title: A semi-supervised machine learning detector for physics events in tokamak discharges

description: Databases of physics events have been used in various fusion research applications, including the development of scaling laws and disruption avoidance algorithms, yet they can be time-consuming and tedious to construct. This paper presents a novel application of the label spreading semi-supervised learning algorithm to accelerate this process by detecting distinct events in a large dataset of discharges, given few manually labeled examples. A high detection accuracy (&gt;85%) for H-L back transitions and initially rotating locked modes is demonstrated on a dataset of hundreds of discharges from DIII-D with manually identified events for which only 3 discharges are initially labeled by the user. Lower yet reasonable performance (~75%) is also demonstrated for the core radiative collapse, an event with a much lower prevalence in the dataset. Additionally, analysis of the performance sensitivity indicates that the same set of algorithmic parameters is optimal for each event. This suggests that the method can be applied to detect a variety of other events not included in this paper, given that the event is well described by a set of 0D signals robustly available on many discharges. Procedures for analysis of new events are demonstrated, showing automatic event detection with increasing fidelity as the user strategically adds manually labeled examples. Detections on Alcator C-Mod and EAST are also shown, demonstrating the potential for this to be used on a multi-tokamak dataset.
description: PSFC REPORT PSFC/JA-20-74<br><br>This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Fusion Energy Sciences, using the DIII-D National Fusion Facility, a DOE Office of Science user facility, under Awards DE-SC0010492 and DE- FC02-04ER54698.
DOI: 10.7910/dvn/bon24t
title: Replication Data for: Oil and International Cooperation International Studies Quarterly

description: This is the replication data for Ross, Michael L., and Erik Voeten. "Oil and international cooperation." International Studies Quarterly (2015): sqv003. The do-file is self-explanatory. The main datafile is ReplicationRossVoeten. The other datasets are for ancillary analyses and robustness checks reported in the article.
DOI: 10.7910/dvn/ce7ikn
title: Field Data

description: Experimental results
DOI: 10.7910/dvn/qch5ty
title: Wright Files I-Z Edited; Docketed Case: 79-1614
DOI: 10.7910/dvn/w15cqf
title: Impacts of engaging communities through traditional and religious leaders on vaccination coverage in Cross River State, Nigeria

description: R script and ready-for-analysis data used in the analysis published in the Final Report to 3ie for the project, "Impacts of engaging communities through traditional and religious leaders on vaccination coverage in Cross River State, Nigeria" (project code TW10.1073). This project was funded as part of the Innovations in Increasing Immunisation Evidence Programme.
DOI: 10.7910/dvn/x22oda
title: Replication Data for: Investigating the empirical existence of static user equilibrium

description: Traffic data used in :
Raimbault, J. (2017). Investigating the empirical existence of static user equilibrium. Transportation research procedia, 22, 450-458.
DOI: 10.7910/dvn/26203
title: Replication data for: You Wouldn't Like Me When I'm Angry

description: List experiment respondents may misreport the number of list items that they associate with in order to associate themselves with a socially desirable test item or to disassociate themselves from a socially undesirable test item. Tests for such misreporting were conducted. List experiments from the 1991 National Race and Politics Survey, the 2006 Cooperative Congressional Election Study, and the 2008 Cooperative Campaign Analysis Project were analyzed or reviewed. Evidence suggested that some respondents deﬂated their report more than necessary to avoid association with a socially undesirable test item. List experiments may provide inaccurate estimates of the percentage of the population to which the test item applies, but the direction of bias is predictable.
DOI: 10.7910/dvn/bnwmon
title: When Insecurity Dampens Desire

description: These two datasets include longitudinal dyadic data of emerging romantic couples. 
Data were analyzed using multilevel modeling, and the attached files are structured as level 1.
DOI: 10.7910/dvn/8nel7b
title: Populism and Political Parties Expert Survey 2018 (POPPA)

description: The 2018 Populism and Political Parties Expert Survey (POPPA) dataset measures positions and attitudes of 250 parties on key attributes related to populism, political style, party ideology, and party organization in 28 European countries. The expert survey was fielded between April 2018 and July 2018 to 294 country-experts. 
The principal motivation for the expert survey is to provide a better understanding of key party characteristics related to populism and political representation. Rather than imposing one specific definition of populism and specifying which parties are to be classified as populist, the Populism and Political Parties Expert Survey (POPPA) aims to measure the relevant constitutive dimensions underlying dominant conceptualizations of populism for all political parties in each party system. 
The POPPA expert survey was conducted by dr. Maurits Meijers and dr. Andrej Zaslove. We are grateful for the amazing research assistance by Margot Daris, Loran de Hollander and Lars Stevenson. We could not have done this project without them. In addition, we would like to thank Victor Ellenbroek and Benthe van Wanrooij for their research assistance. The POPPA team gratefully acknowledges funding from Radboud University and from the Dutch Research Council (NWO) [Grant: M. Meijers, VI.Veni.191R.018].

We provide the following data files:
- party_means: This file contains the mean expert judgments per political party.
- party_medians: This file contains the median expert judgments per political party.
- expert-level: This file contains the expert judgments per political party on expert level.
All files are available in Stata format (.dta) and as a comma-separated values file (.csv).
DOI: 10.7910/dvn/gsmutz
title: Census Linking Project: 1850-1940 Crosswalk

description: This crosswalk consists of individuals matched between the 1850 and 1940 complete-count US Censuses. Within the crosswalk, users have the option to select the linking method with which these matches were created. This version of the crosswalk contains links made by the ABE-exact (conservative and standard) method, the ABE-NYSIIS (conservative and standard) method and the ABE-NYSIIS (conservative and standard) method where race is used as a matching variable. Users can then merge into this crosswalk a wide set of individual- and household-level variables provided publicly by IPUMS, thereby creating a historical longitudinal dataset for analysis.
DOI: 10.7910/dvn/pygbdo
title: Parliaments day-by-day

description: Data files and r-scripts to go with manuscript titled 'Parliaments Day-by-Day: A New Open Source Database to Answer the Question Who Was in What Parliament, Party and Party-group When'
DOI: 10.7910/dvn/byafjr
title: Replication Data for: The Politics of Flu Vaccines: International Collaboration and Political Partisanship

description: While vaccine hesitancy has become a salient issue, few studies have examined the influence of international collaboration and vaccine developments on people’s attitudes toward vaccines. The international collaboration especially with China has been an integral part of the field of influenza. In recent years, attitudes toward vaccines and China are both heavily politicized in the U.S. with a deepening partisan divide. Republicans are more likely than Democrats to be vaccine hesitant, and they are also more likely to view China negatively. At the same time, the U.S. has economic, security and medical collaboration with Japan and most Americans display a very positive view of the country. Thus, does a more international collaboration or more country specific vaccine development have an influence on U.S. vaccine hesitancy? This study conducts a survey-embedded question-wording experiment to assess the roles of US-China and US-Japan collaboration and partisanship in people’s willingness to get the flu vaccine. Despite the previously successful and effective US-China collaboration, this study finds that respondents especially Republicans are much less likely to receive a US-China flu vaccine than a US-Japan or US alone. Interestingly, both Democrats and Republicans are as willing to receive a US-Japan vaccine as US alone. These results point to critical roles of partisanship and international relations.
DOI: 10.7910/dvn/hu9yyc
title: Replication Data for: Dataset "P3Numbers_20150126_m_12_002" available at http://eegdatabase.kiv.zcu.cz/experiments-detail?DEFAULT_PARAM_ID=651

description: Guess the number is a simple P300-based brain-computer interface experiment. Its aim is to ask the measured participant to pick a number between 1 and 9. Then, he or she is exposed to corresponding visual stimuli and experimenters try to guess the number thought while observing event-related potential waveforms on-line. 250 school-age children participated in the experiments that were carried out in elementary and secondary schools in the Czech Republic. Electroencephalographic data from three EEG channels (Fz, Cz, Pz) and stimuli markers were stored. Additional metadata about the participants were collected (gender, age, the number thought by the participant, the guess of the experimenters, and various interesting additional information). The data are stored in the Brain Vision format.
description: Presentation, 18.1
description: Brain Vision Recorder, 1.20.0001
description: All data and metadata in this dataverse can be downloaded as an experimental package named "PROJECT DAYS P3 NUMBERS" that is available at https://eegdatabase.kiv.zcu.cz in section "All experiments"
DOI: 10.7910/dvn/26270
title: Socio-economic Dynamics of Changes in Rice Production System in inland areas of Orissa-NATP

description: To analyze spatial patterns of rice productivity growth and patterns of rice technology adoption and to diagnose policy intervention options for improving food security of rice farmers in Orissa.
description: Subject: Number of Repondents Type: Sample Size Notes: 200;
DOI: 10.7910/dvn/ceinp8
title: Replication Data/Code for: Hidden Agendas in Shareholder Voting

description: This page contains the code and instructions necessary to replicate the results of "Hidden Agendas in Shareholder Voting" by Adriana Robertson and Scott Hirst, published in the Yale Journal on Regulation (2022).
DOI: 10.7910/dvn/25593
title: Replication data for: Using Sequences to Model Crises

description: copy directly from abstract in PSRM publication
DOI: 10.7910/dvn/8o7ewh
title: Mixed-Methods, Cross-sectional Assessment of a Client-facing, Family Planning Counseling Chatbot in Côte d’Ivoire (R4S study # 1.9)

description: This mixed-method study was conducted among Counseling for Choice (C4C) family planning (FP) Chatbot users in Côte d'Ivoire in 2023. This cross-sectional study describes user characteristics and perceptions of chatbot usability, content, and relevance, and perceived effects on FP-related self-efficacy. We used a mixed-methods approach including an online survey and in-depth interviews (IDI) with C4C chatbot users, and chatbot back-end data. Between January 11 – July 15, 2022, we recruited 280 chatbot users for the survey, of whom 28 completed an IDI. Data from the IDIs are not included in the package. This study was made possible by the American People through the U.S. Agency for International Development (USAID), provided to FHI 360 through Cooperative Agreement 7200AA19CA00041 to implement Research for Scalable Solutions. Partners on this work included Evidence for Sustainable Human Development Systems in Africa, and Population Services International.
DOI: 10.7910/dvn/hugwom
title: NY Voter List 2020

description: NY Voter List 2020
DOI: 10.7910/dvn/vgxzg1
title: PAR-MMO Dataset

description: This dataset contains experimental data and computer code.
DOI: 10.7910/dvn/26233
title: Rice technology adoption in Orissa

description: Objectives of the study are to identify rice varieties that are recently being adopted by the farmers in the past 5 years, to estimate the extent of adoption and to identify factors influencing farmers to shift to new varieties.
description: Subject: Number of Repondents Type: Sample Size Notes: 300;
DOI: 10.7910/dvn/26330
title: Laguna Loop Survey (2007 - 2008)

description: The Laguna Loop survey is a farm household level data set collected by the IRRI - Agricultural Economics Department prior to the introduction of the high yielding varieties of rice. This initial survey refers to 1965 dry season - data that provided excellent benchmark information from rice farming respondents. The study was based upon a survey in which information was obtained regarding farm practices and costs and returns and other associated data related to rice production. The subsequent surveys have been taken every two to four years to note the pattern of adoption of the high yielding varieties, paddy yield, prices, various farming inputs, labor use, land tenure arrangement and the changes that have occurred in farming practices and costs and returns that have occurred overtime. These data are extremely useful historical records of the changes that have occurred during the four decades, the dynamic period of Philippine rice production. The sample farms are selected from the six municipalities in Laguna province - namely: Calauan, Bay, Calamba, Cabuyao, Sta. Rosa and Binan . In the later years - some of the farmers discontinue farming because their rice farms were converted into industrial and residential purpose. Hence, there was a reduction in the number of respondents per year or per season in the later years. Generally, the focal objective of this study is to track the changes in the farmer's rice technology, cultural practices, land tenure, m
echanization, and labor practices that occurred during the survey period from 1965 to 2008. A number of publications, research papers, reports, and vast collections of Masters and Dissertations theses have already been published that utilized this very exhaustive panel data sets.
description: Subject: Number of Repondents Type: Sample Size Notes: 33;