cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/i2eq9m
title: Update: Press materials from the European Commission (DG Trade) between 1989-2025 – Open Access

description: UPDATE: The data corpus (Nvivo) comprises all press materials published in the European Commission’s Press Corner –– filtered by press releases from the Directorate-General for Trade (DG Trade) spanning the period 1989 to February 10, 2025. The Nvivo corpus consists of 1868 documents, scraped from: https://ec.europa.eu/commission/presscorner/home/en.

More specifically, the Nvivo corpus consists of speeches and press releases from EU Trade Commissioners Frans Andriessen (1989-1992), Leon Brittan (1993-1999), Pascal Lamy (1999-2004), Peter Mandelson (2004-2008), Karel De Gucht (2010-2014), Cecilia Malmström (2014-2019), Phil Hogan (2019-2020), Valois Dombrovskis (2020-2024), and Maroš Šefčovič (2024-10th February 2025). 

Speeches and press data from Danuta Hübner (2004), Catherine Ashton (2008-2009), and Benita Ferrero-Waldner (2009-2010) are excluded due to their relatively brief tenures as EU Trade Commissioners.

Most documents are provided in PDF format to ensure efficient coding in Nvivo. The dataset is openly accessible to support researchers exploring EU trade politics, policy, and institutional dynamics. Users should cite the source when using the dataset but are otherwise free to code and use the data as they see fit.
DOI: 10.7910/dvn/uvuqwv
title: Effectiveness of Self-Leadership Intervention on Burnout and Recovery Experience from Work

description: The purpose of current study was to investigate the effectiveness of self-leadership intervention on burnout and recovery experience from work. A semi-experimental, of pre-test-post-test type with a control group was conducted (n=30). In order to measure burnout and recovery experience from work, Burnout Assessment Tool (BAT) and Recovery Experience from Work questionnaire (REQ) were utilized. The results of the covariance analysis showed that 6 sessions of self-leadership training leads to a reduction in core and secondary dimensions of burnout (50%, 23% respectively) and an increase in the recovery experience from work (48%). In the terms of burnout, self-leadership intervention has been significant in the dimensions of exhaustion (47%), mental distance (34%), cognitive impairment (16%). While, no significant impact demonstrated in emotional impairment dimension. Moreover, the results were significant in all four dimensions of recovery experience from work (psychological detachment (26%), relaxation (25%), mastery experience (44%) and control (31%)). The self-leadership intervention was effective on employee’s burnout and recovery experience from work. Regarding to conversation of resource theory, self-leadership intervention by providing additional resources, can improve the experience of recovery from work while reducing job stress and, as a result, burnout.
DOI: 10.7910/dvn/r5me4a
title: R code for: A fat chance of survival: Body condition provides life-history dependent buffering of environmental change in a wild mammal population

description: All R code files used in the analysis of data for "A fat chance of survival: Body condition provides life-history dependent buffering of environmental change in a wild mammal population", published in Climate Change Ecology (doi: 10.1016/j.ecochg.2021.100022). For any questions, as well as the data underpinning these analyses, please reach out to the corresponding author: jbrightross@gmail.com.
DOI: 10.7910/dvn/t64sez
title: Replication Data for: Institutional Liquidity Costs, Internalized Retail Trade Imbalances, and the Cross-Section of Stock Returns

description: Computer programs and pseudo data that illustrate the necessary steps to arrive at the key results of the article.
DOI: 10.7910/dvn/su4les
title: The Role of Artificial Intelligence and Machine Learning in Nigerian Accounting

description: &lt;!DOCTYPE html&gt;
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&lt;head&gt;
 &lt;meta charset="UTF-8"&gt;
 &lt;title&gt;Abstract&lt;/title&gt;
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&lt;body&gt;
&lt;p&gt;The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the accounting profession has significantly transformed traditional practices. This study examines the impact of AI and ML on the Nigerian accounting sector, focusing on their practical applications, benefits, challenges, and future prospects. Adopting a descriptive survey research design, the study collected primary data on AI and ML applications in Nigerian accounting. Also, inferential statistical methods, specifically multiple linear regression analysis, were employed to explore the relationship between AI adoption and accounting performance. The findings reveal a balanced representation across gender and educational qualifications. The majority of respondents (45%) fall within the 20–30 age bracket, followed by those aged 31–40 (33%) and 41–50 (22%). Gender distribution was equally split, with male and female participants each accounting for 50%. Furthermore, the results indicate that AI awareness has a coefficient of 0.58, suggesting a positive relationship between AI awareness and accounting performance. Similarly, the coefficient for AI usage is 0.43, demonstrating a positive and significant relationship between AI tool adoption and accounting performance. The intercept value of 2.35 represents the expected level of accounting performance when both AI awareness and AI usage are zero. Overall, the findings suggest a growing acceptance and utilization of AI and ML in Nigerian accounting. While the benefits are widely recognized, addressing challenges such as cost, complexity, and training requirements will be essential for broader adoption and optimal outcomes.&lt;/p&gt;
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DOI: 10.7910/dvn/tydnvo
title: TAFSSA District Agrifood Systems Assessment in India 2023: Market Survey

description: TAFSSA (Transforming Agrifood Systems in South Asia) is a CGIAR Regional Integrated Initiative aimed at advancing equitable access to sustainable healthy diets, enhancing farmers' livelihoods and resilience, and conserving natural resources such as land, air, and water across South Asia. The TAFSSA district agrifood systems assessment seeks to establish a robust, accessible, and integrated evidence base that connects farm production, market access, dietary patterns, climate risk responses, and natural resource management, with gender considerations integrated throughout. The assessment focuses on rural areas in Bangladesh, India, and Nepal, utilizing a district-level, multi-year approach.&lt;/p&gt;
Data collection took place between February and June 2023 in the Nalanda district of Bihar, India. The survey covered 50 villages in the district, focusing on formal and informal multi-vendor markets offering various food products within a 10-kilometer radius of the village centroid. The types of multi-vendor markets included village markets, weekly village markets, roadside/street markets, and wholesale markets (mandis).&lt;/p&gt;

The survey employed pretested, structured questionnaires divided into three distinct modules:&lt;/p&gt;

1. Interview-Based Module: Collected data on vendor information, assortments of essential goods, availability, resilience, food sourcing, food wastage, and dimensions of access and protection.&lt;/p&gt;
2. Observation + Photo Module: Documented market information, infrastructure, and the quality, safety, and hygiene of the market.&lt;/p&gt;
3. Food List Module: Recorded the availability and prices of a comprehensive list of food items found at the location.
description: Household- and Community-level Surveys
description: STATA, 17
DOI: 10.7910/dvn/7qyl3n
title: Replication Data for: Mini-Publics, (Lack of) Representativeness, and Legitimacy Beliefs

description: Data and statistical code necessary to replicate "Mini-Publics, (Lack of) Representativeness, and Legitimacy Beliefs", forthcoming in the British Journal of Political Science
DOI: 10.7910/dvn/t7b1dg
title: Extracted Data From: Firearm Mortality by State

description: This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information: Centers for Disease Control and Prevention, National Center for Health Statistics. National Vital Statistics System, Mortality 2018-2023 on CDC WONDER Online Database, released in 2024. 
&lt;br /&gt;&lt;br /&gt;
If you have questions about the underlying data stored here, please call 301-458-4800 or e-mail at paoquery@cdc.gov. If you have questions or recommendations related to this metadata entry and extracted data, please contact the CAFE Data Management team at: climatecafe@bu.edu.
&lt;br /&gt;&lt;br /&gt;
"Number of deaths and age-adjusted death rates from firearm-related fatalities. States are categorized from highest rate to lowest rate. Although adjusted for differences in age-distribution and population size, rankings by state do not take into account other state specific population characteristics that may affect the level of mortality. When the number of deaths is small, rankings by state may be unreliable due to instability in death rates." This dataset includes firearms mortality by state and year from 2005 to 2022. Taken from "Stats of the States", NCHS.
&lt;br /&gt;
[Quote from: https://www.cdc.gov/nchs/pressroom/stats_of_the_states.htm]
description: Stats of the States
description: Terms and conditions were captured directly from CDC and are pasted below:
"The information provided using this website is only intended to be general summary information to the public. It is not intended to take the place of either the written law or regulations."
description: This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information.

Firearm Mortality by State data was downloaded by Urvi Vinod on 2025-03-21.
DOI: 10.21233/d07q-gm82
title: LDDsite545 ostracode surface sample dataset

description: Raw data for the LDDsite545 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/5to4he
title: Experimental and simulated data for crop and grassland production and carbon-nitrogen fluxes

description: Multi-year datasets from field experiments and simulations at five agricultural sites in the Northern Hemisphere were developed for three cropland sites in Ottawa (Canada), Grignon (France) and Delhi (India) and two grassland sites at Laqueuille (France) and Easter Bush (UK). The cropland sites have rotations with wheat, triticale, maize, rapeseed, soybean, phacelia and rice, as well as periods of bare fallow. Cattle (Laqueuille) or mixed cattle and sheep (Easter Bush) graze in the two grassland sites. Field data were collected between 2003 and 2012 for three to eight years, including grain yield/above‐ground net primary productivity, nitrous oxide emissions, carbon fluxes (gross primary production, net ecosystem exchange, ecosystem respiration), together with daily weather data (solar radiation, maximum and minimum temperatures, precipitation, wind speed, relative humidity, vapour pressure), soil properties, and records of crop and grassland management. Simulated outputs are from 23 models: 11 crop models, eight grassland models and four models simulating both systems.
DOI: 10.7910/dvn/5rnkjg
title: Analysis of Scientific Literature on the Use of Copernicus Sentinel Services for Evaluating and Monitoring Atmospheric

description: This study aimed to perform an automated analysis of scientific literature using Natural Language Processing (NLP) techniques, specifically the Latent Dirichlet Allocation (LDA) model, to identify key themes and patterns in published research.
DOI: 10.7910/dvn/dekmkt
title: Replication Data for: Editor’s Choice: Measuring Candidate Quality using Local Newspaper Endorsements

description: I construct a new measure of candidate quality differentials using local newspaper endorsements. I argue that political endorsements made by newspapers can be used as expert opinions that reflect quality differences between the candidates in an election. Using a dataset of 21,095 local newspaper endorsements, I simultaneously estimate the quality differences between candidates in 6,432 elections, along with a dynamic measure of the partisan bias of 368 local newspapers. Using the new measure, I show that a one standard deviation increase in relative candidate quality increases a candidate’s two-party vote share by 3.4 percentage points, and that candidate quality accounts for about one-fourth of the incumbency advantage. These findings advance debates on the source of incumbency effects and demonstrate the broader electoral impact of candidate quality. I conclude by discussing the potential of these endorsement-based measures to enhance our understanding of candidate quality in electoral politics and governance.
DOI: 10.7910/dvn/dy9jd8
title: Party support in Lebanon based on a conjoint experiment

description: Party support in Lebanon based on a conjoint experiment
DOI: 10.21233/ngw5-r759
title: Lake Biwa, North Basin ostracode surface sample dataset

description: Raw data for the Lake Biwa, North Basin ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.7910/dvn/h04pzo
title: Study Quality Assessment

description: Study Quality Assessment: Adverse Events Related to Tirzepatide: A Systematic Review and Meta-Analysis
DOI: 10.7910/dvn/i7txrq
title: Replication Data for: Political Judgment above Transparency? Results from a Mixed-Method study about Politicians’ Close Cooperation with Interest Organizations

description: Replication Data for: Political Judgment above Transparency? Results from a Mixed-Method study about Politicians’ Close Cooperation with Interest Organizations
DOI: 10.7910/dvn/rshmqp
title: Replication Data & Online Supplemental Materials for: Weather to Vote: How Natural Disasters Shape Turnout Decisions

description: This location contains the replication code of the published article.
description: Abstract: Natural disasters can uproot peoples’ lives in a matter of minutes, leaving behind immeasurable hardships on the people and places that they strike. We examine the impact on voter turnout of one such force majeure in the days leading up to a midterm election. Leveraging the randomness of a rapidly developing, unpredictable Category 5 hurricane, we assemble an original dataset to examine the effects of Hurricane Michael on voting in Florida in the 2018 General Election. Our study assesses whether counties damaged by Hurricane Michael—as determined by relief policies administered by local election officials—affected voter behavior in 2018. Utilizing Difference-in-Difference models, we test whether voters registered in counties that were affected by Michael voted at rates comparable to their neighbors that were not directly impacted by the Category 5 hurricane. We also test whether voters in affected counties were more likely to alter their usual methods of voting. Our findings—that turnout was lower among those directly impacted by the storm but that early in-person voting helped to mitigate the effects—lend insight into how election administration decisions can offset the deleterious effects of a catastrophic event.
DOI: 10.7910/dvn/7v3asc
title: Replication Data for: Beyond COVID-19 Vaccine Acceptance: Survey Evidence from Taiwan

description: Unlike many other industrial societies, the partisan fights on the vaccination against COVID-19 in Taiwan centered on its brand choice rather than acceptance. Did the incumbent DPP supporters adhere to their party line of Medigen to vaccinate against COVID-19 during the pandemic? We argue that individual COVID-19 vaccine brand choices as gradually updated judgements during the pandemic were not solely determined by the party line, but jointly shaped by the strength of party affiliation and the level of government trust to facilitate decision making in the highly uncertain information environment at the early stage of the pandemic. More specifically, when choosing COVID-19 vaccine brand, the incumbent DPP supporters, particularly weak ones, were more likely to adhere to their party line of Medigen as they trusted government more; however, this was only for the highly uncertain first shot, due to the absence of reliable information for making informed judgements about COVID vaccine brand choice at the early stage of the pandemic, not for the informationally rich booster shot. We report empirical findings consistent with our argument from statistical analyses of original data from a survey of 1642 Taiwanese adult respondents conducted in the fall of 2022.
DOI: 10.7910/dvn/7v9m9c
title: Replication Data for: GMC-21 Relevant Code

description: Relevant code was used to download the data and construct the database.
DOI: 10.15468/dl.r2b62s
title: Occurrence Download

description: A dataset containing 9646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "Geometry POLYGON ((-8.739756 41.31534, -8.734044 41.3156, -8.731715 41.31591, -8.731583 41.31714, -8.731583 41.31749, -8.730617 41.31947, -8.730617 41.32272, -8.726223 41.32026, -8.72429 41.32035, -8.725388 41.32839, -8.72798 41.32835, -8.728639 41.32993, -8.730968 41.33041, -8.739888 41.32914, -8.739756 41.31534))"
 ]
}

 The dataset includes 9646 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012387-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98s3js
title: Occurrence Download

description: A dataset listing the 83391 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (Portugal)"
 ]
}

 The dataset's 83391 records were derived from 2206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001475-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d37x5n
title: Occurrence Download

description: A dataset listing the 83391 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (Portugal)"
 ]
}

 The dataset's 83391 records were derived from 2206 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001478-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vaekpc
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Montanoa hibiscifolia",
 "Country is Tanzania, United Republic of",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084870-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mx5w83
title: Occurrence Download

description: A dataset containing 2490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Umbra pygmaea",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2490 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084871-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cm7y43
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 (Histurgops ruficauda)",
 "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/0084872-250717081556266/datasets/export for details.
DOI: 10.15468/dl.p4ysz7
title: Occurrence Download

description: A dataset containing 3723 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Malus hupehensis (Pamp.) Rehder, Malus hupehensis Koidz., Malus hupehensis var. mengshanensis G.Z.Qian & W.H.Shao, Malus hupehensis var. taishanensis N.G.Jiang, Malus hupehensis var. shizongensis N.G.Jiang, Malus hupehensis var. menshanensis G.Z.Qian & W.H.Shao, Malus hupehensis var. pingyiensis Jiang, Malus hupehensis var. pinyiensis N.G.Jiang, Malus hupehensis var. taiensis G.Z.Qian, Malus hupehensis f. rosea (Rehder) Rehder, Malus domestica var. hupehensis (Pamp.) Likhonos, Malus domestica subsp. hupehensis (Pamp.) Likhonos)"
 ]
}

 The dataset includes 3723 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077929-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wruzq4
title: Occurrence Download

description: A dataset containing 287 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orthoperus punctatus Wankowicz, 1865"
 ]
}

 The dataset includes 287 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0429361-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zqzb7b
title: Occurrence Download

description: A dataset containing 14357 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coptis Salisb."
 ]
}

 The dataset includes 14357 records from 231 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0237068-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5g27j
title: Occurrence Download

description: A dataset containing 4236988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "Year 2000-2022"
 ]
}

 The dataset includes 4236988 records from 667 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0429035-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/aj54-7jf9
title: Nitrogen oxides at Melpitz

description: Measurement of Nitrogen oxides at Melpitz
DOI: 10.48597/9jfb-fcm3
title: Measurement of Nitrogen oxides at Melpitz

description: Measurement of Nitrogen oxides at Melpitz