cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/a0h2-7953
title: Lake Kharinei loss-on-ignition dataset

description: Raw data for the Lake Kharinei loss-on-ignition 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/blgfdu
title: Replication Data for: Partisan Temporal Selective News Avoidance: Evidence from Online Trace Data

description: Copy directly We assess the phenomenon of partisan temporal selective avoidance, or individuals dynamically altering their news consumption when news is negative toward their in-party and out-party. Using nine months of online behavioral data (27,648,770 visits) from 2,462 Americans paired with machine learning classifications, we examine whether changing daily news sentiment toward in- and out-party (macro-level) and exposure to articles negative toward in- or out-party during one's browsing session (micro-level) influence news use. We test if partisans change their consumption of (a) news overall, (b) partisan outlets, (c) hard vs. soft news, and (d) individual articles. We find support for partisan temporal selective news avoidance; partisans alter the volume, type, and source of news because of changing news sentiment. On the macro-level, partisan asymmetries emerge, and on the micro-level, negative news about either party reduce news browsing length while increasing hard news and negative news visits for both Democrats and Republicans.from abstract in AJPS publication
description: This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. 
<br>
 
The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the Center for Open Science. 
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<br>
Open Materials Badge
DOI: 10.7910/dvn/xzhxvf
title: Replication Data for: Out of Order: Specification Check Sequencing in Cox Models

description: The Cox duration model serves as the basis for more complex duration models like competing risks, repeated events, and multistate models. These models make a number of assumptions, many of which can be assessed empirically, sometimes for substantive ends. We use Monte Carlo simulations to show the order in which practitioners assess these assumptions can impact the model’s final specification, and ultimately, can produce misleading inferences. We focus on three assumptions regarding model specification decisions: proportional hazards (PH), stratified baseline hazards, and stratum-specific covariate effects. Our results suggest checking the PH assumption before checking for stratum-specific covariate effects tends to produce the correct final specification most frequently. We reexamine Davis and Wilf (2017) to illustrate our points.
description: See readme.html for instructions.
DOI: 10.21233/ej0y-zm13
title: Heart Lake diatom dataset

description: Raw data for the Heart Lake diatom 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/evigdy
title: Plasma branched-chain fatty acids reflect dairy-fat intake in a pilot clinical trial in individuals with prediabetes

description: Poster from American Physiology Summit 2024
DOI: 10.7910/dvn/bvonc4
title: Filling the Blanks

description: EN: The project on interest groups in Poland, Slovakia, Czech Republic and North Macedonia. The Project received funding from National Science Centre Poland (2021/41/B/HS5/01455)
PL: Projekt nt. grup intreresu w Polsce, Republice Czeskiej, Słowacji oraz Macedonii Północnej. Sfinansowany ze źródeł Narodwego Centrum Nauki (2021/41/B/HS5/01455)
DOI: 10.7910/dvn/btpppu
title: data for "Topics and Trends in Contemporary Chinese Newspaper Discourse on Translation (1949-2023): A Digital Humanities Approach"

description: The excel shows the cumulative proportions of translation-related terms in the newspaper discourse over the years 1949-2023. And the text file lists the filtered words in KH coder.
DOI: 10.21233/d92k-4q83
title: Koosharem Reservoir water chemistry dataset

description: Raw data for the Koosharem Reservoir water chemistry 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/yrd5df
title: Replication Data for: Introducing the UNCIPPO (UN Civilian Posts in Peacekeeping Operations) Dataset

description: This research note presents a dataset on budgeted civilian personnel posts in UN peacekeeping operations by mission, unit, rank, and staff category in the 1991–2020 period: the UNCIPPO (UN Civilian Posts in Peacekeeping Operations) Dataset. Civilian staff in UN peacekeeping operations include specialists in political affairs, human rights, gender, child protection, electoral support, security sector reform, strategic communications, and information analysis, among others. Our coding of almost three hundred UN budget documents reveals what kinds of civilian posts member states agree to fund. UNCIPPO data also permit more nuanced analyses of the impact of civilian personnel on mission effectiveness. We illustrate this by re-examining Blair, Di Salvatore, and Smidt's (2023) study of the effect of civilian staff on host country democratization, showing that the observed effect is driven by international staff—countering a surprising negative national staff effect—and that staff in units with democracy-related tasks contribute more significantly to this effect than staff in other units. The dataset opens new avenues for research on peacekeeping operations (for example, on peacekeeping resourcing and effectiveness) and IOs more generally (for instance, on the politics of budgeting, the growth of transnational expertise, and the profiles of international bureaucrats).
DOI: 10.7910/dvn/blf0km
title: Intussusception Adverse Events Post Vaccination

description: Intussusception is a rare serious adverse event (SAE) that occurs following immunization (AEFI) and viral infections. The etiology of intussusception is currently unknown. This study analyzes infant intussusception AEFIs. The Vaccine Adverse Event Reporting System (VAERS) database is retrospectively examined for intussusception AEFIs in young children.
DOI: 10.7910/dvn/wiz6zm
title: Foreign Trade of Shanghai: Analysis of Imports

description: Analysis of Imports is a series of tables and text files associated with: Shanghai annual returns of foreign trade, 1936 : analysis of imports and exports. Created by: China. Hai guan zong shui wu si shu. 
description: Shanghai annual returns of foreign trade, 1936 : analysis of imports and exports
DOI: 10.7910/dvn/blnmub
title: Global Leadership Representation Index: Country Rankings

description: The Country Representation Rankings dataset (MIT license) from the Global Leadership Project provides a set of indices quantifying how closely each country’s political leadership reflects its population’s demographic makeup. Contained in CountryRepresentationRankings.csv, it offers an Overall representation score, a Representation Gap (the difference between observed representation and what would be expected under a random-selection model), and separate indices for Ethnicity, Gender, Religion, and Language. These metrics enable researchers and policymakers to compare representation levels across nations, pinpoint areas of underrepresentation, and track trends over time when multiple snapshots are available. For complete details on data collection and index computation, please see: Gerring, John; Jerzak, Connor T.; Öncel, Erzen. 2024. “The Composition of Descriptive Representation.” American Political Science Review 118(2): 784–801.
DOI: 10.7910/dvn/afom9j
title: Replication Data for: Earnings Extrapolation and Predictable Stock Market Returns

description: Datasets used in Earnings Extrapolation and Predictable Stock Market Returns
DOI: 10.7910/dvn/f2umkm
title: Behavioral data sheets for 'Mapping the landscape of social behavior'

description: Extended behavioral data sheets for rat cohorts including CTRL, amphetamine, and ASD model lines
DOI: 10.7910/dvn/vyh1w2
title: African Voices from the 1835 Malê Revolt in Salvador, Bahia, Brazil

description: This dataset and the accompanying appendices present 157 additional published accounts from Brazil, namely those by Africans who participated in the 1835 Malê Revolt in Salvador, Bahia. Following the revolt, the police conducted more than two hundred hearings of enslaved and free Creoles and Africans in the city. In the late twentieth century, the Bahia state archives published the manuscripts in five volumes. Presenting transcriptions from those publications and translations into English of the testimony of each African (not Creoles) makes them available to more readers.
DOI: 10.7910/dvn/wyiiq1
title: Extracted Data From: National Health and Nutrition Examination Survey

description: At a glance
- NHANES is the National Health and Nutrition Examination Survey.
- NHANES is a national survey that measures the health and nutrition of adults and children in the United States.
&lt;br /&gt;&lt;br /&gt;
&lt;blockquote&gt;
The National Health and Nutrition Examination Survey (NHANES) collects data about the health of adults and children in the United States. We also collect data about what participants eat, drink, and take as supplements to determine how many nutrients are in their diet. These dietary interviews and blood tests help us measure the nutritional status of U.S. adults and children.
&lt;br /&gt;&lt;br /&gt;
CDC's National Center for Health Statistics (NCHS) conducts NHANES. NHANES is the only national health survey that includes health exams, laboratory tests, and dietary interviews for participants of all ages.
&lt;br /&gt;&lt;br /&gt;
NHANES data can help improve the health of Americans. Survey data have driven changes in how doctors treat patients and how public policy supports good health.
&lt;br /&gt;&lt;br /&gt;
The NHANES program began in the early 1960s. It started as a series of surveys that focused on different population groups and health topics. Since 1999, NCHS has conducted NHANES without interruption—what we call continuous NHANES. Now, NHANES can focus on different health and nutrition measurements to meet changing information needs.
&lt;br /&gt;&lt;br /&gt;
Each year, about 5,000 adults and children in communities across the United States participate in NHANES. We use a random, scientific process to select the people we invite to participate. This process ensures that this group of people can accurately represent the health and nutritional status of everyone in our diverse nation. 
&lt;br /&gt;&lt;br /&gt;
To collect data about a wide range of health and nutrition topics, NHANES includes—
- Interviews about health, diet, and personal, social, and economic characteristics
- Visits to our mobile exam center for dental exams and health and body measurements
- Laboratory tests by highly trained medical professionals
&lt;/blockquote&gt;
&lt;br /&gt;&lt;br /&gt;
(Text above quoted from https://www.cdc.gov/nchs/nhanes/about/ on 2025-03-23)
description: This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information.

National Health and Nutrition Examination Survey data was downloaded by Michael Amato on 2025-03-23.
description: See attached PDF
DOI: 10.21233/hpxg-gx65
title: LDDsite2111 water chemistry dataset

description: Raw data for the LDDsite2111 water chemistry 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/bpbkvf
title: Extracted Data From: Enforcement Raw Data

description: This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information &lt;br /&gt;&lt;br /&gt;
If you have questions about the underlying data stored here, please contact phmsa.pipelinesafety@dot.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;
"The Pipeline Safety Enforcement Program is designed to monitor and enforce compliance with pipeline safety regulations and confirm operators are meeting PHMSA expectations for safe, reliable, and environmentally sound operation of their facilities. On this website PHMSA offers a variety of reports and records detailing its enforcement activity involving pipeline operators. These reports and records are offered on both nationwide and operator-specific bases..." [Quote from [https://primis.phmsa.dot.gov/enforcement-data] 
&lt;br /&gt;
description: This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information.

PHMSA raw data was downloaded by Bradley Wilson on 02-14-2025.
description: The terms and conditions were not captured from the source dataset, which was publicly available to download. If you have additional information about terms of use, please contact us.
DOI: 10.7910/dvn/povl6d
title: TAFSSA District Agrifood Systems Assessment in Nepal 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 was collected between February and June 2023 in the Banke and Surkhet districts of Nepal. The survey covered 25 wards in each district, focusing on formal and informal multi-vendor markets offering a variety of food products.&lt;/p&gt;


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


1. Interview-Based Module: Gathered information on vendors, assortments of essential goods, availability, resilience, food sourcing, food wastage, and dimensions of access and protection.&lt;/p&gt;

2. Observation + Photo-Based Module: Documented market details, infrastructure, and aspects related to food quality, safety, and hygiene.&lt;/p&gt;

3. Food List Module: Recorded the availability and prices of an extensive list of food items found in the markets.
description: Household- and Community-level Surveys
description: STATA, 17
DOI: 10.7910/dvn/bw1hlw
title: Appendix "Leasing models"

description: This dataset contains the questionnaire and the expert interviews of the paper "Cost and leasing models of outpatient surgery capacities to determine economic framework conditions of outpatient facilities"
DOI: 10.7910/dvn/ykavdv
title: Integrating machine learning into business and management in the age of artificial intelligence

description: co-occurrence analysis over 9,399 peer-reviewed documents retrieved from Scopus discussing machine learning in business and management
DOI: 10.7910/dvn/bxrtw6
title: Code to replicate the results published in: Cenci et al. Assessing the effectiveness of interdependent corporate sustainability choices. npj Climate Action (2025)

description: Code to replicate the results published in: Cenci et al. Assessing the effectiveness of interdependent corporate sustainability choices npj Climate Action (2025)
DOI: 10.7910/dvn/z8fsnr
title: SPSBrazil Survey 2019 - DATASET

description: SPSBrazil Survey 2019

Ass. Prof. Dr Sarah Berens (corresponding author)
University of Innsbruck
e-mail: sarah.berens@uni-koeln.de

Franziska Deeg
Cologne Center of Comparative Politics - University of Cologne
e-mail: fdeeg@uni-koeln.de

The survey was conducted by IBOPE between July 26th to August 12th 2019 in Sao Paulo State. 

The project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – project number 374666841 – CRC 1342

cite as: 
Berens, Sarah and Deeg, Franziska (2022) SPSBrazil Survey 2019, [Harvard Dataverse DOI]
DOI: 10.7910/dvn/zo9mcn
title: Replication Data for: The Bad Neighbor Problem

description: This is the replication data for "The Bad Neighbor Problem," written by Ben Jebb and Alisa Laufer. The data includes information on regime type, population, various economic factors, political fragmentation, political freedom, government effectiveness, and susceptibility to terrorism for 157 unique countries between 2002-2021.
DOI: 10.21233/rshq-m108
title: Hudson Pond diatom dataset

description: Raw data for the Hudson Pond diatom 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/zlcajp
title: Non-Puerperal Mastitis Database2024.12

description: Since its inception in December 2021, the Non-Puerperal Mastitis Database (NPMD) has retrospectively collected data from patients with non-puerperal mastitis who visited the Sichuan Provincial Maternal and Child Health Hospital in previous years. These patients have been followed up regularly, and the database content has been continuously updated. The last follow-up occurred in June 2024.
description: no.
DOI: 10.7910/dvn/pox0qk
title: Good Pumpkin: An open image dataset of good Pumpkins for machine vision enabled automated grading of produce based on visual characteristics.

description: Open Image Data Set of Good Pumpkins
DOI: 10.7910/dvn/euucrl
title: Replication Data for: Introducing CongressData and Correlates of State Policy

description: Replication data and code for Introducing CongressData and Correlates of State Policy
DOI: 10.7910/dvn/ewsawx
title: Prosody Generation Using Back Propagation Neural Networks for Sindhi Speech Processing Applications

description: Abstract
Analysis and synthesis of speech to be automated still require more research efforts in general and for the development of speech processing applications based on Arabic Script like Sindh Textto-Speech in particular. To achieve the required results from the speech processing applications prosodic features must be exercised extremely as the prosody is highly linked with the information of sounds having different characteristics like linguistic rules, complications and variations of expressions. 

Objectives: This study aims to generate and analyze the prosodic information specifically pitch and duration from the recorded Sindhi sounds using the back propagation neural network.

Methods: Two methods are used to obtain the prosodic information of Sindhi sounds, PRAAT speech analyser is used to obtain the results and for the validation a back propagation neural network model is implemented. From the four districts of Sindh 228 speakers were chosen and the sound of different descriptive sentences was recorded for the experiments.

Finding: After the experiments with a neural network model with multiple layers on the collected sound, 98.8% a highly acceptable level of accuracy achieved at the 18th epoch among the 100 epochs. 

Application and improvements: The generated Sindhi prosodic information and adopted research methodology will be supportive to the scholars of Sindhi speech processing applications. This research work can be considered as the first step as no work for generating Sindhi prosody is found yet.

Keywords: Sindhi Recorded Sounds, Pitch, Duration, Speech Analysis, Prosody Generation
DOI: 10.7910/dvn/bn1pir
title: Replication Data for: Remove electrical stimulus artifact in local field potential recorded from subthalamic nucleus by using manifold denoising

description: Deep brain stimulation (DBS) is an effective treatment for Parkinson’s disease (PD), and the DBS effects can be investigated by the analysis of local field potentials (LFPs) recorded through lead externalization. However, stimulus artifacts generated by high-intensity stimulation contaminate LFPs and might hamper the investigation. In this work, an algorithm based on manifold denoising idea is proposed, coined Shrinkage and Manifold based Artifact Removal using Template Adaptation (SMARTA), to remove the artifacts by deriving a specific template for each stimulus artifact and subtracting it from the signal. This semi-realistic dataset is used in our work for validating SMARTA. The semi-realistic signals are generated by adding artifacts recorded in an agar brain and LFPs recorded in PD patients without stimulation.
description: The signals are stored in mat files. There are three variables in each file: ‘x_add’ (semi-realistic LFP during DBS), ‘x_ori’ (base LFP without stimulation) and ‘fs’ (sampling rate). The length of ‘x_add’ is about 60 s, and the stimulus artifacts are added on the period of 10 s to 50 s.
DOI: 10.7910/dvn/exj54z
title: Supporting information

description: This dataset is supplementary material to the article entitled “Differences in Translational Dynamics Between Lactation and Dry Period in Dairy Goat Mammary Glands”.
DOI: 10.21233/jqgd-sd88
title: Mary Lake pollen dataset

description: Raw data for the Mary Lake pollen 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/x31fkf
title: Replication Data for: Assessing Attitude and Behavioral Intention toward Chatbots in an Insurance Setting: A Mixed Method Approach.

description: de Andrés-Sánchez, J., & Gené-Albesa, J. (2023). Assessing Attitude and Behavioral Intention toward Chatbots in an Insurance Setting: A Mixed Method Approach. International Journal of Human–Computer Interaction, 40(17), 4918–4933. https://doi.org/10.1080/10447318.2023.2227833