cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14697332
title: Surface profiles of drilled and reamed holes

description: This dataset includes surface profiles—raw profile, roughness, and waviness—of 3,600 reamed holes and 400 drilled holes. Additionally, it features a 360-degree scan of a reamed bore captured at five-degree increments. It is part of the project "KI-Span". The research project focuses on improving tool life and part quality in machining processes by analysing data, with the goal of developing robust, process-independent methods. By leveraging high-quality production data, the project aims to reduce tool-related costs, particularly in industries like aerospace, where tools account for a significant portion of production expenses.

Files Included1. Reamed_hole_360.parquet



Description: Contains surface data of a single bore, measured in 1° increments.

Index: distance — the distance along the bore axis.

Columns: multi-level: 1. 'raw_profile' or 'roughness'; 2. Measurement taken at a specific angular position 0-359 (in degrees).

Values: Height data of the profiles.


2. surface_profiles.parquet



Description: Contains raw surface profiles, waviness, and roughness data of all measured bores.

Index: A multi-level index with 1. 'plate', 2. 'hole_number' and 3. 'distance'.

Columns: 'raw_profile', 'waviness' and 'roughness'.

Values: Height data of the profiles.


Example Usage in Python

import pandas as pdimport matplotlib.pyplot as plt

# Load the datasetdf = pd.read_parquet(".../surface_profiles.parquet", engine="pyarrow")

# Exclude drilled holes (not reamed)drilled_rows = [3, 10, 17]max_hole_number = df.index.get_level_values('hole_number').max()drilled_holes = [i for i in range(1, max_hole_number + 1) if i % 20 in drilled_rows]df = df[~df.index.get_level_values('hole_number').isin(drilled_holes)]

# Plot the raw profile of one borehole_data = df.loc[(2, 11)]  # (plate 2, hole 11)

plt.figure(figsize=(10, 2))plt.plot(hole_data.index, hole_data['raw_profile'], label='Raw Profile')

plt.xlabel('Distance (mm)')plt.ylabel('Raw Profile (mm)')plt.title('Raw Profile of Hole 11 (Plate 1)')plt.grid(True)plt.legend()plt.tight_layout()plt.show()
DOI: 10.7910/dvn/q2vhw0
title: Replication Data for: Assessing the Conservative Nature of the Supreme Court of Japan via Ideal Point Estimation of Justices

description: Japan is an intriguing case in the literature of judicial independence because of the Liberal Democratic Party (LDP)’s long-lasting one-party dominance in government—which, in theory, leads to low independence. Although scholars have found plentiful anecdotal observations implying the LDP’s judicial control, quantitative evidence remains scarce. Focusing on the Supreme Court as the first step, this study provides a new dataset on justices’ ideal points through an extensive compilation of justices’ voting data and application of the dynamic item response theory model. I validate the estimates’ interpretability as ideological positions. The results present several novel findings: justices with a career-judge background are relatively conservative; the Chief Justice tends to be particularly conservative; the conservative camp has tended to hold on to a court majority since the 1960s; and the government’s partisanship, to some degree, influences appointed justices’ positions. These results reinforce scholars’ view that Japan’s court leans conservatively and aligns with the LDP, with implications for judicial independence in Japan.
DOI: 10.7910/dvn/gn8cdj
title: Appendix for: A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty

description: &lt;em&gt;Appendix for:&lt;/em&gt; A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty 
&lt;br&gt;&lt;br&gt;
&lt;em&gt;Abstract:&lt;/em&gt; Earth observation (EO) data such as satellite imagery can have far-reaching impacts on our understanding of the geography of poverty, especially when coupled with machine learning (ML) and computer vision. Early research in computer vision used predictive models to estimate living conditions, especially in contexts where data availability on poverty was scarce. Recent work has progressed beyond using EO data to predict such outcomes---now also using it to conduct causal inference. However, how such EO-ML models are used for causality remains incompletely mapped. To address this gap, we conduct a scoping review where we first document the growth of interest in using satellite images and other sources of EO data in causal analysis. We then trace the methodological relationship between spatial statistics and ML methods before discussing five ways in which EO data has been used in scientific workflows---(1) outcome imputation for downstream causal analysis, (2) EO image deconfounding, (3) EO-based treatment effect heterogeneity, (4) EO-based transportability analysis, and (5) image-informed causal discovery. We consolidate these observations by providing a detailed workflow for how researchers can incorporate EO data in causal analysis going forward---from data requirements to choice of computer vision model and evaluation metrics. While our discussion focuses on health and living conditions outcomes, our workflow applies to other measures of sustainable development where EO data are informative. 
&lt;br&gt;&lt;br&gt;
&lt;em&gt;Reference:&lt;/em&gt; Sakamoto, Kazuki, Connor T. Jerzak, and Adel Daoud. "A Scoping Review of Earth Observation and Machine Learning for Causal Inference: Implications for the Geography of Poverty." In &lt;em&gt;Geography of Poverty&lt;/em&gt;, edited by Ola Hall and Ibrahim Wahab. Edward Elgar Publishing (Cheltenham, UK), 2025.
DOI: 10.7910/dvn/grpn3h
title: replication Data for 'Going Naked, Creating a Boomerang: The Misappropriation of Gendered Resistance of Body'

description: This is the dataset (interview) for a reserch work titled 'Going Naked, Creating a Boomerang: The Misappropriation of Gendered Resistance of Body'
DOI: 10.7910/dvn/gsnh4n
title: A16_32653.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/4c1bb30b-0066-460a-bad5-a5b12e753f8c'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/4c1bb30b-0066-460a-bad5-a5b12e753f8c
DOI: 10.7910/dvn/pz1gaj
title: Research Data of Import, Government Expense, Government Gross Saving, and CPI

description: This data based on World Bank, OECD webiste, and Ourworldindata for 18 OECD Countries
DOI: 10.7910/dvn/pzdeki
title: Meaning in life, attitude toward death and general self-efficacy in hospice volunteers and non-volunteers

description: The database contains results from the Meaning in Life Questionnaire, the Death Attitude Profile-Revised, the General Self-Efficacy Scale and the sociodemographic survey in hospice volunteers (n = 46) and non-volunteers (n = 60).
DOI: 10.7910/dvn/gqxgvq
title: Ro5-4864, a Ligand of the Mitochondrial Translocator Protein, Protects Against Heart Failure in Mice

description: Read Me file
DOI: 10.7910/dvn/py0nkm
title: Replication Data for: The Financialization of Housing and Its Political Consequences

description: Institutional investors in residential real estate have become targets of political backlash against unaffordable housing. We argue that this backlash is not only about economic issues such as rising rents; it reflects a fundamental rejection of "financialized capitalism" that turns housing from a basic need into a speculative asset. Using novel geo-coded real estate transaction data, we document the extent of housing financialization cross-nationally and over time, and demonstrate that neighborhood-level exposure to financialization alone is insufficient to explain the widespread support to expropriate corporate landlords in a historic 2021 Berlin referendum. We then develop nationally-representative surveys to show that German citizens conceptualize housing as a social right and hold the state responsible for its under-provision. We demonstrate experimentally that arguments about housing financialization significantly raise support for expropriation beyond rent effects. Our findings suggest that financialized capitalism can unite diverse groups of voters in favor of housing socialism.
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. 
<br>


<br>
Open Materials Badge

<br>
Proprietary data used in this study are not included in the replication package.
DOI: 10.7910/dvn/goruz1
title: Survey of Latinos on the News Media
title: Pew Hispanic Center

description: Users can download data on information related to news media use among Latinos in the U.S.
&lt;p&gt;&lt;b&gt;Background&lt;/b&gt;&lt;/p&gt; The Survey of Latinos on the News Media was conducted by the Pew Hispanic Center. This survey explores the cross-cultural experience for the Latino population in America regarding the language in which they obtain the news. Topics include: language of news media and obtaining media in multiple languages. &lt;p&gt;&lt;b&gt;User Functionality&lt;/b&gt;&lt;/p&gt; Users can download the dataset directly into SPSS statistical software. &lt;p&gt;&lt;b&gt;Data Notes&lt;/b&gt;&lt;/p&gt; A telephone survey of a nationally re
presentative sample of U.S. Latinos was conducted in 2004. The geographic unit is indicated in the dataset.
DOI: 10.7910/dvn/pwnhrw
title: Replication Data for: "El efecto de la desigualdad económica en los homicidios en la Unión Europea"

description: Data from the article "El efecto de la desigualdad económica en los homicidios en la Unión Europea", by Jonathan Torres-Tellez, published in Revista DADOS, v. 65, n. 1, 2021.
description: Based on the work of Blau and Blau (1982), this article studies the correlation between inequality and homicides in the European Union after the last economic crisis of 2008. In order to attain this goal, we use a data panel with fixed effects in which the inequality moving average is used to capture its cumulative effects. The results show that inequality has a positive effect on every analysis made, confirming Blau and Blau’s reasoning. Furthermore, absolute poverty is also an important homicide rate enhancer in the EU. Moreover, the sample is divided into five groups under the welfare regime of every country to control the differences, and some divergences on the effect of the variables analyzed about homicides have been detected. Finally, it is determined that social support is a factor that contributes to minimizing this type of crime.
DOI: 10.7910/dvn/pz1brj
title: Data of cutaneous leishmaniasis patients in the city of Mashhad, Iran.

description: This dataverse, related to people with cutaneous leishmaniasis, has been collected separately for ‎the districts and neighborhoods of Mashhad city, Iran from 2016 to 2018. The data is also ‎summarized and categorized by the month of the year. The incidence rate of the disease is calculated for ‎each year. ‎
DOI: 10.7910/dvn/pvk9kw
title: Replication Data for: Changing patterns in marriage choice and related health risk in the Pakistani heritage community in Bradford UK: a qualitative study. Extended Data.

description: Extended Data for a Qualitative Study reported in a paper published by Wellcome Open
DOI: 10.7910/dvn/puihvc
title: 9081 images dataset for: Detection of weather events in optical satellite data using deep convolutional neural networks

description: The dataset used for classifying satellite images of different weather events, including tropical cyclones, convective cell clouds, convective roll clouds, wildfires, and dust storms, as presented in Li, Y., & Momen, M. (2021). 

Anyone can use this dataset by citing the following paper:
Li & Momen (2021): Detection of weather events in optical satellite data using deep convolutional neural networks. Remote Sensing Letters, 12(12), 1227–1237. https://doi.org/10.1080/2150704X.2021.1978581.

This dataset consists of 5 image datasets, one for each class 2202 for Cell Convection, 1655 for Dust Storms, 2147 for Tropical Cyclones, 1037 for Roll Convections and 2040 for Wild Fires, totaling 9081 optical satellite images. These data were processed and classified using deep convolutional neural networks (InceptionV3, ResNet50, VGG16, and VGG19) for accurate and automatic weather pattern detection.
DOI: 10.7910/dvn/pykiun
title: Replication Data for: Software Citations in Political Science

description: Political scientists rely on complex software to conduct research, and much of the software they use is written and distributed for free by other researchers. We argue that creating and maintaining these public goods is very costly for individual software developers, but that it is not adequately incentivized by the academic community. We demonstrate that statistical software is widely used but rarely cited in political science, and we highlight a partial solution to this problem: software bibliographies. To facilitate their creation, we introduce an \texttt{R} package which scans analysis scripts, detects the software used in those scripts, and creates bibliographies automatically. We hope that recognizing the contribution of software developers to science will encourage more academics to create public goods, which could yield important downstream benefits.
DOI: 10.7910/dvn/gogsv8
title: Exploratory research on Malawi’s National Emergency Contraception Strategy (R4S Study 1.14)

description: This mixed methods study was conducted from November 2022–March 2023 in 2 rural districts (Mchinji and Phalombe) implementing the strategy. We conducted qualitative interviews with 10 national stakeholders, 46 providers, and 24 clients aged 15–24 years about ECP service delivery. Additionally, 25 providers collected quantitative tally data about clients seeking ECPs and about how ECP was used in the selected service delivery channels. Channels included general population outreach, youth-specific outreach, Community health worker cadres (health surveillance assistants and volunteer community-based distribution agents), and youth clubs. We analyzed qualitative data using grounded theory and quantitative data descriptively. The quantitative data is publicly available on Harvard Dataverse, although the qualitative data is not publicly available since it could not be completely de-identified. 
This work is made possible by the generous support of the American people through the U.S. Agency for International Development (USAID), provided to FHI 360 through Cooperative Agreement 7200AA19CA00041. Partners on this work include Population Services International and Family Health Services Malawi.
DOI: 10.7910/dvn/gq02cc
title: Global (4°x5°) top-down methane emissions and OH fields constrained by GOSAT methane observations

description: Methane emissions and OH concentrations for 2010-2022 at 4°x5° resolution, constrained by GOSAT methane observations.
DOI: 10.7910/dvn/gmj6e7
title: Replication Data for: 数字技术普及与国内暴力冲突

description: 随着人类社会加速迈入数字时代，互联网和手机等数字技术对冲突的影响成为学界日益关注的新课题。为何这些技术有时可以抑制国内暴力冲突爆发，有时却加剧了冲突？不同于既有研究着重关注数字技术的类型与冲突的关系，本文重点考察数字技术在不同普及阶段对国内冲突双方的影响。具体而言，数字技术普及对国内冲突的影响并非二元的抑制或加剧效应，相反却呈现出明显的阶段性差异：在技术普及前期，叛乱组织具有运用技术增强其叛乱能力与动机的先行优势，国内冲突发生概率增加；随着技术普及进入成熟期，政府在意识到技术带来的冲突风险之后会借助其实力优势实现对技术的非对称性控制，更有效地抑制叛乱组织发起的冲突，使国内冲突发生的可能性转而下降。借助全球跨国面板数据，以及国内层次的地理空间和个人问卷调查数据，本文利用多种统计分析方法检验并证实了上述动态理论。本研究丰富了我们对数字时代国内冲突的理解，也有助于从政策层面思考数字技术普及的阶段对冲突管理和解决的影响。
DOI: 10.7910/dvn/goyxzh
title: Replication Data for: Individual Agency in Street-Level Bureaucrats’ Implementation of Policy Reforms: The Role of their Policy Evaluation and Self-Efficacy

description: This contains the files used to produce the results shown in "Individual Agency in Street-Level Bureaucrats’ Implementation of Policy Reforms: 
The Role of their Policy Evaluation and Self-Efficacy".

Files should be run in the following order:
school measures.do
teacher measures.do
analysis.do
description: Stata, 17
DOI: 10.7910/dvn/pt7rey
title: DEL Panel 2024

description: Contains data from DEL Panel survey (2024) from Germany, Great Britain, France, and the United States on attitudes towards foreign aid, global poverty, and development.
DOI: 10.15468/dl.6ga6xj
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Lagerstroemia indica L."
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001321-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/gnrkkh
title: Map Index

description: The map index provides a table containing the name of each map in the library, a four-letter code used to help identify individual maps, and a link to each map in the Beauplan's Map Library.
DOI: 10.7910/dvn/pypukw
title: A85_371.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/8b7506d1-a9e7-7f21-0cc9-05bb6fdba1fe'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/8b7506d1-a9e7-7f21-0cc9-05bb6fdba1fe
DOI: 10.7910/dvn/gq1gov
title: Replication Data for: ICT Use in Secondary School Curriculum Implementation: The Experience of Heads of Schools in Dar es Salaam City, Tanzania

description: These are additional works cited in the manuscript titled: ICT Use in Secondary School Curriculum Implementation: The Experience of Heads of Schools in Dar es Salaam City, Tanzania
DOI: 10.7910/dvn/q1o2ue
title: Monthly averaged glyoxal vertical column density

description: Monthly averaged glyoxal vertical column density for OMI and GOME-2A/B
DOI: 10.7910/dvn/q05qvg
title: Replication Data for: The cribellate nanofibrils of the southern house spider: extremely thin natural silks with outstanding extensibility

description: Raw data of optical microscopy, field emission scanning electron microscopy (FE-SEM), transmission electron microscopy (TEM), atomic force microscopy (AFM), force spectroscopy, and data analysis. 

&lt;h1&gt;File Formats&lt;/h1&gt;
&lt;ul&gt;
&lt;li&gt;AFM and force spectroscopy raw data, is provided in NT-MDT's proprietary format (MDT) as well as Gwyddion format (GWY), which can both be viewed using the Gwyddion AFM viewer, which has been released under the GNU public software license GPLv3 and can be downloaded for free at &lt;a href='http://gwyddion.net/'&gt;http://gwyddion.net/&lt;/a&gt;&lt;/li&gt;

&lt;li&gt;FE-SEM and TEM raw data is provided in TIF format &lt;/li&gt;

&lt;li&gt;Optical microscopy is provided in PNG format &lt;/li&gt;

&lt;li&gt;Data analysis is provided in an excel sheet (XLSX) &lt;/li&gt;
&lt;/ul&gt;
&lt;h1&gt;Data (Folder Structure)&lt;/h1&gt; 

&lt;h2&gt;Figure 1&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;All TIF files (with accompanying TXT files) from FE-SEM and PNG files from optical microscopy of the cribellate silk structure from the &lt;i&gt;K. hibernalis&lt;/i&gt;. &lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;Figure 2&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;All TIF files from TEM, TIF files (with accompanying TXT files) from FE-SEM, MDT and GWY files from AFM of the cribellate silk nanofibrils.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;Figure 3 + S3&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;MDT and GWY files from AFM and force spectroscopy of the cribellate silk nanofibrils as well as the hard substrate and holes within the substrate. XLSX file containing data analysis process with descriptive boxes of what each row does.&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;Figure S4&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;MDT and GWY files from AFM and force spectroscopy of the cribellate silk nanofibrils.&lt;/li&gt;
&lt;/ul&gt;
DOI: 10.7910/dvn/gogcvz
title: A15_27445.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/d17cdd6d-6dfa-48ed-a8cc-2cf7207db039'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/d17cdd6d-6dfa-48ed-a8cc-2cf7207db039
DOI: 10.7910/dvn/gsb75e
title: New aspects of security: citizens’ attitudes towards the issue of information regulation in Russia

description: . The effectiveness of government policies to ensure cyber- and information security directly depends on how successfully such measures are followed by citizens at the national level. The author considers the influence of cognitive-rational, value-affective, and socio-demographic factors on respondents' support for government policy in the field of information regulation through selected cases of regulating social networks and introducing a mandatory face recognition system in public transport. In the course of the study, a factorial survey (N=395) was conducted using vignettes to examine the effects of framing on respondents' perception of the measures proposed. The analysis of the experimental results in this study shows that news framing to persuade the population to support the proposed measures does not lead in the short term to an increase in support for the measures. However, certain factors influencing public perception, such as civic identity, trust in the political system, and assessment of cyber threats danger, show less variability over time. The results of the study allow us to confirm the hypothesis of a direct connection between civic identity and support for restrictive measures, as well as partially confirm the assumption that the political trust of citizens and the specifics of perception of cyber threats positively influence support for the introduction of measures. In addition, the heterogeneity of support for government measures at various levels of political trust of respondents was revealed, therefore we can identify the further potential of research on public perception of such measures taking into account trust in the political system and individual political actors (government, special services, army, etc.) in Russia.
DOI: 10.7910/dvn/pzzdsn
title: Replication Data for: "Effect of Campaign Contributions on Legislator Behavior: Intra Dairy Industry Interest Group Competition"

description: This is the replication package for "Effect of Campaign Contributions on Legislator Behavior: Intra Dairy Industry Interest Group Competition," accepted in 2023 by the Journal of Political Economy Microeconomics.
DOI: 10.7910/dvn/pzh5sk
title: A08_17027.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/f688d4c2-cba3-6373-7299-dc10497e8e86'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/f688d4c2-cba3-6373-7299-dc10497e8e86
DOI: 10.7910/dvn/goavbx
title: Replication Data for: Institutional Innovation in Response to Backlash: How Members Are Circumventing the WTO Impasse

description: This folder contains all the materials required to replicate the findings in 
Krzysztof Pelc. 2014. “Institutional Innovation in Response to Backlash: How Members Are Circumventing the WTO Impasse”. Review of International Organizations.