cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/h4aoqp
title: Replication Data for: Capture-Recapture Methods for Data on the Activation of Applications on Mobile Phones

description: This work is concerned with the analysis of marketing data on the activation of applications (apps) on mobile devices. Each application has a hashed identification number that is specific to the device on which it has been installed. This number can be registered by a platform at each activation of the application. Activations on the same device are linked together using the identification number. By focusing on activations that took place at a business location one can create a capture-recapture data set about devices, that is users, that "visited" the business: the units are owners of mobile devices and the capture occasions are time intervals such as days. A unit is captured when she activates an application, provided that this activation is recorded by the platform providing the data.
Statistical capture-recapture techniques can be applied to the app data to estimate the total number of users that visited the business over a time period, thereby providing an indirect estimate of foot traffic. This article argues that the robust design, a method for dealing with a nested mark-recapture experiment, can be used in this context. A new algorithm for estimating the parameters of a robust design with a fairly large number of capture occasions and a simple parametric bootstrap variance estimator are proposed. Moreover, new estimation methods and new theoretical results are introduced for a wider application of the robust design. This is used to analyze a data set about the mobile devices that visited the auto-dealerships of a major auto brand in a US metropolitan area over a period of one year and a half. Technical developments are provided in the Supplementary Material available online.
DOI: 10.7910/dvn/pvsmby
title: A15_29723.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/80ae391e-a81b-4e80-97a5-66d2aff65800'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/80ae391e-a81b-4e80-97a5-66d2aff65800
DOI: 10.7910/dvn/qawkt7
title: Executive Agreements Database, Statement Concerning the Agreement with Bulgaria Concerning Cooperation In The Area of the Prevention Of Proliferation Of Weapons Of Mass Destruction Signed At Washington June 17, 2008 Entered Into Force January 29, 2009

description: TIAS 09-129

cover memo
DOI: 10.6084/m9.figshare.27216219
title: MOTOR FAULT DETECTION DATA

description: Induction motors play a crucial role in industrial applications, but their operation is often compromised by various mechanical and electrical faults. This paper presents a new dataset for comprehensive fault diagnosis of three-phase induction motors, using synchronized multi-sensor data collection. The dataset includes real-time measurements of vibration, voltage, and current collected from a 0.2 kW squirrel cage induction motor. Fault scenarios such as phase removal and mechanical misalignments were simulated to capture a wide range of motor behaviors. Data were collected using high-resolution sensors, with the vibration ,voltage and current sampled at 50kHz. The dataset is organized into tem distinct CSV files, covering different operational scenarios, providing a comprehensive resource for researchers aiming to develop or test fault detection algorithms. The dataset was used to train a RandomForest classifier for fault detection, achieving an accuracy of 99.82%. This demonstrates the effectiveness of the dataset for developing machine learning models aimed at real-time fault diagnosis and predictive maintenance. Unlike existing datasets, this collection provides synchronized data across multiple sensor types, enabling cross-analysis of electrical and mechanical faults. The dataset is publicly available, offering a valuable tool for advancing research in motor fault diagnosis and predictive maintenance.
DOI: 10.6084/m9.figshare.27216219.v1
title: MOTOR FAULT DETECTION DATA

description: Induction motors play a crucial role in industrial applications, but their operation is often compromised by various mechanical and electrical faults. This paper presents a new dataset for comprehensive fault diagnosis of three-phase induction motors, using synchronized multi-sensor data collection. The dataset includes real-time measurements of vibration, voltage, and current collected from a 0.2 kW squirrel cage induction motor. Fault scenarios such as phase removal and mechanical misalignments were simulated to capture a wide range of motor behaviors. Data were collected using high-resolution sensors, with the vibration ,voltage and current sampled at 50kHz. The dataset is organized into tem distinct CSV files, covering different operational scenarios, providing a comprehensive resource for researchers aiming to develop or test fault detection algorithms. The dataset was used to train a RandomForest classifier for fault detection, achieving an accuracy of 99.82%. This demonstrates the effectiveness of the dataset for developing machine learning models aimed at real-time fault diagnosis and predictive maintenance. Unlike existing datasets, this collection provides synchronized data across multiple sensor types, enabling cross-analysis of electrical and mechanical faults. The dataset is publicly available, offering a valuable tool for advancing research in motor fault diagnosis and predictive maintenance.
DOI: 10.7910/dvn/vl0fgg
title: Replication Data for: "Race, Representation, and the Legitimacy of International Organizations"

description: Replication files for "Race, Representation, and the Legitimacy of International Organizations"
DOI: 10.7910/dvn/8xzbfc
title: Replication Data for: Computing control invariant sets of nonlinear systems: decomposition and distributed computing

description: Julia code and project data for this work.
DOI: 10.7910/dvn/pzpoj
title: House Unpassed Legislation 1847, Docket 1891, SC1/series 230, Petition of Israel H. Browne

description: &lt;p&gt;Petition subject: Secession from the Union &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:11029585"&gt;http://nrs.harvard.edu/urn-3:FHCL:11029585&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Sudbury &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Reuben Haynes, Sudbury; committee on the judiciary &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Israel H. Browne&lt;/li&gt;&lt;li&gt;Lucy Browne&lt;/li&gt;&lt;li&gt;Sewall Hunt&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Actions taken on dates: 1847-03-03 &lt;/p&gt; &lt;p&gt;Legislative action: Received in the House on March 3, 1847 and referred to the committee on the judiciary &lt;/p&gt; &lt;p&gt;Total signatures: 43 &lt;/p&gt; &lt;p&gt;Legislative action summary: Received, referred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 20 &lt;/p&gt; &lt;p&gt;Female signatures: 23 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: inhabitants, legal voters, ladies, [females], ["others"] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Signatory column format: column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: no additional documents &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: House Unpassed 1847, Docket 1891 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/wgdqll
title: Wright Casebook Edited; Docketed Case: 19,131
DOI: 10.7910/dvn/2xxetf
title: KPC June 2002

description: Kibale Party Composition files from 2002-06-01 to 2002-06-30 include ?? files. Access to these files is restricted. Please contact Dr. Zarin Machanda (machanda@fas.harvard.edu) for permission.
DOI: 10.7910/dvn/cnwbpn
title: Inequality in Latin America: the role of the nature of trade and partners

description: This paper investigates the relationship between trade openness and income inequality in 11 Latin American countries over the period 1989–2015. The authors use a Panel dynamic approach to take into account the high persistence of income inequality. The analysis classifies trade flows, exports and imports according to trading partner’s income level. Then, the authors split trade flows according to different stages of production. The results show that Overall trade flows do not statistically affect income inequality in Latin America. However, trade has divergent effects depending on the trade partners: trade with similar- and lower-income countries exacerbates inequality, while trade with higher-income countries reduces income dispersion. The results also emphasise the role of the export channel (in particular in primary commodities) in explaining income inequality in Latin American countries and imports of consumption goods seem to matter more than imports of intermediate and capital goods.
DOI: 10.7910/dvn/jyvglu
title: Replication Data for: Human Rights Violations in Space: Assessing the External Validity of Machine Geo-coded Vs. Human Geo-coded Data

description: This replication directory contains both R-code and data necessary to reproduce all models, figures, and tables included in "Human Rights Violations in Space: Assessing the External Validity of Machine Geo-coded Vs. Human Geo-coded Data" as well as its supplemental appendix.

Political event data are widely used in studies of political violence. Recent years have seen notable advances in the automated coding of political event data from international news sources. Yet, the validity of machine coded event data remains disputed, especially in the context of event geolocation. We analyze the frequencies of human- and machine geo-coded event data agreement in relation to an independent (ground truth) source. The events are human rights violations in Colombia. We perform our evaluation for a key, eight year period of the Colombian conflict and in three two-year subperiods as well as for a selected set of (non)journalistically remote municipalities. As a complement to this analysis, we estimate spatial probit models based on the three datasets. These models assume Gaussian Markov Random Field (GMRF) error processes; they are constructed using a stochastic differential equation and estimated with integrated Laplacian approximation. The estimated models tell us whether the three datasets produce comparable predictions, underreport events in relation to the same covariates, and have similar patterns of prediction error. Together the two analyses show that, for this subnational conflict, the machine and human geocoded datasets are comparable in terms of external validity but, according to the geostatistical models, produce prediction errors that differ in important respects.
description: Volume #, Issue #
DOI: 10.7910/dvn/xg8kds
title: Replication Data for: The impact of rickets on growth and morbidity during recovery among children with complicated severe acute malnutrition in Kenya: A cohort study

description: &lt;p&gt;This was seconday analysis of data from Daily co-trimoxazole prophylaxis to prevent mortality in children with complicated severe acute malnutrition: a multicentre, double-blind, randomized placebo-controlled trial ((ClinicalTrials.gov ID &lt;a href="https://clinicaltrials.gov/ct2/show/NCT00934492"&gt;NCT00934492&lt;/a&gt;). &lt;/p&gt;
&lt;p&gt;The aim of this secondary analysis was to investigate the associations of clinically diagnosed rickets at study enrolment with anthropometric recovery and life‐threatening events during 1 year following inpatient treatment for complicated SAM. The main outcomes were episodes of life‐threatening events and anthropometry (MUAC, weight, length/height, and head circumference) during the course of the primary trial of 12 months. Life‐threatening events were defined as all‐cause mortality or all hospital readmissions. Study participants data were collected at baseline and during one year follow-up.&lt;/p&gt;
description: Access to datasets is restricted as it contains sensitive information on participants. 
Accompanying documentation is available under open access. For more detailed information beyond the metadata and documentation provided, there is a process of managed access requiring submission of a request form for consideration by our Data Governance Committee ( http://kemri-wellcome.org/about-us/#ChildVerticalTab_15 )
DOI: 10.7910/dvn/8prrao
title: A12_22893.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/6baec93c-6e80-4c33-adb2-753d410a8595'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/6baec93c-6e80-4c33-adb2-753d410a8595
DOI: 10.7910/dvn/vsizj
title: Passed Acts; St. 1855, c.489, SC1/series 229, Petition of Eli Robbins

description: &lt;p&gt;Petition subject: Fugitive slave laws &lt;/p&gt; &lt;p&gt;Original: &lt;a href="http://nrs.harvard.edu/urn-3:FHCL:10670443"&gt;http://nrs.harvard.edu/urn-3:FHCL:10670443&lt;/a&gt; &lt;/p&gt; &lt;p&gt;Date of creation: (unknown) &lt;/p&gt; &lt;p&gt;Petition location: Lexington &lt;/p&gt; &lt;p&gt;Legislator, committee, or address that the petition was sent to: Curtis Cutler, Lexington; committee on federal relations &lt;/p&gt; &lt;p&gt;Selected signatures:&lt;ol&gt;&lt;li&gt;Eli Robbins&lt;/li&gt;&lt;li&gt;Ellen A. Stone&lt;/li&gt;&lt;li&gt;Edmond Fitzpatrick&lt;/li&gt;&lt;/ol&gt; &lt;/p&gt; &lt;p&gt;Legislative action: Referred to the committee on federal relations &lt;/p&gt; &lt;p&gt;Total signatures: 71 &lt;/p&gt; &lt;p&gt;Legislative action summary: Referred &lt;/p&gt; &lt;p&gt;Legal voter signatures (males not identified as non-legal): 21 &lt;/p&gt; &lt;p&gt;Female signatures: 48 &lt;/p&gt; &lt;p&gt;Other male signatures: 2 &lt;/p&gt; &lt;p&gt;Female only signatures: No &lt;/p&gt; &lt;p&gt;Identifications of signatories: citizens, legal voters, other persons, [females], [other males], ["inhabitants"] &lt;/p&gt; &lt;p&gt;Prayer format was &lt;a href="http://en.wikipedia.org/wiki/Printing"&gt;printed&lt;/a&gt; vs. &lt;a href="http://en.wikipedia.org/wiki/Manuscript"&gt;manuscript&lt;/a&gt;: Printed &lt;/p&gt; &lt;p&gt;Signatory column format: column separated &lt;/p&gt; &lt;p&gt;Additional non-petition or unrelated documents available at archive: additional documents available &lt;/p&gt; &lt;p&gt;Location of the petition at the Massachusetts Archives of the Commonwealth: St. 1855, c.489, passed May 21, 1855 &lt;/p&gt; &lt;p&gt;Acknowledgements: Supported by the National Endowment for the Humanities (PW-5105612), Massachusetts Archives of the Commonwealth, Radcliffe Institute for Advanced Study at Harvard University, Center for American Political Studies at Harvard University, Institutional Development Initiative at Harvard University, and Harvard University Library.&lt;/p&gt;
DOI: 10.7910/dvn/wgu9rw
title: Plebiscito Constitucional Chile 2020

description: Este proyecto consiste en una recolección de datos de la red social Twitter, a través de los hashtags relacionados al Plebiscito Nacional de Chile agendado para el día 25 de octubre del 2020. El conjunto de datos contiene los ID de 1,704,494 tweets. 
La ciudadanía debía decidir en esta consulta si era necesario reemplazar la constitución de 1980 y, en caso de ser necesario, si esa nueva constitución debería ser escrita por una asamblea mixta o una asamblea constitucional.
La desigualdad social fue una de las posibles causas principales del estallido social en Chile que comenzó el 6 de octubre de 2019 con el alza de la tarifa del transporte público y que culminó en un plebiscito.
 Si bien el alza fue de solo 30 pesos, esto fue suficiente para iniciar las manifestaciones dirigidas principalmente por estudiantes secundarios, que se organizaron para ir de forma masiva a evadir el pago del metro de Santiago, según &lt;a href=https://www.cnnchile.com/pais/evasion-masiva-estudiantes-metro_20191015/&gt;CNN Chile&lt;/a&gt;.
Se ha utilizado Twitter como fuente principal debido a que puede generar grandes e importantes cantidades de información, que puede ser efímera. Por lo que este proyecto ha sido realizado con la intención de recopilar, conservar y preservar datos relacionados a este hecho histórico para futuras investigaciones. 
Con esta finalidad, la extracción semanal de datos de Twitter comenzó en día 14 de octubre del 2020 y finalizó el día 26 de noviembre. Para esta actividad ha sido utilizada la herramienta &lt;a href=https://sfm.readthedocs.io/en/latest/citing.html&gt;Social Feed Manager (SFM)&lt;/a&gt;.
La siguiente lista incluye los hashtags utilizados para recopilar datos para este conjunto de datos: #Nuevoestado, #Plebiscito, #Anulo, #Apruebo, #Rechazo, #Chileyotequiero, #Yoapruebo, #Yorechazo, #Nuevaconstitución #ConvencionConstitucional, #Yovotoconvenciónconstitucional, #QueChileDecida, #Geonativaprueba, #Rutaconstituyente, #Elsuraprueba, #Mixtano, #Plebiscito2020, #PorChileYoRechazo, #Afrodescendientes, #25Octubre, #Votamosrechazo, #franjaelectoral #franjarechazo #franjadelapruebo, #constituyente, #constituyentesindependientes, #ListaÚnica, #NoPolíticosConstituyentes, #lanuevacontituciónesdelpueblo, #derechaconstituyente #nolovimosvenir, #telodije, #apruebosarrepentidos, #nosabenloquevotaron, #selosdijimos, #lesvolamoslaraja.
Según los &lt;a href=https://twitter.com/es/tos&gt;Términos de servicio&lt;/a&gt; de la Política para desarrolladores de Twitter, los ID de tweets pueden compartirse públicamente con fines académicos; en cambio, los tweets no . Por lo tanto, este conjunto de datos solo contiene los ID de tweets. Para recuperar los tweets que aún están disponibles (no eliminados por los usuarios), hay disponibles herramientas como &lt;a href=https://github.com/DocNow/hydrator&gt;Hydrator&lt;/a&gt;.
DOI: 10.7910/dvn/g6gwxe
title: Replication Data for: Better Incentives, Better Marks: A Synthetic Control Evaluation of the Educational Policies in Ceará, Brazil

description: This article evaluates the effects of two educational policies implemented in the Brazilian state of Ceará. The first was a tax incentive (TI) for mayors to improve municipal education. Under this policy, municipal tax transfers were conditioned on educational achievement. The second was a program to offer educational technical assistance (TA) to municipalities. The impact of these policies was estimated by employing the synthetic control method to create a synthetic Ceará not affected by TI and TA. When the two policies were combined, the results were consistent with a 12 percent increase in Portuguese test scores in primary education and a 6.5 percent increase in lower secondary education. There were similar increases in mathematics test scores; however, these were not statistically significant. This study also investigates the impact of educational interventions on upper secondary schools, which, despite not being directly affected by the new policies, received better-prepared students from lower secondary schools. The findings show no effect on this level of education, highlighting the need for debate on how to extend the benefits of educational policies to upper secondary schools, as well as to other Brazilian states. This research is the first to analyze the impacts of the policies in Ceará on primary, lower secondary, and upper secondary schools using data from 1995 to 2019.
DOI: 10.7910/dvn/q3smrs
title: A13_25586.jpg

description: Link to OCHRE database: &lt;a href = 'http://pi.lib.uchicago.edu/1001/org/ochre/4f6583ec-383b-4e0f-8b4c-1ae5e5924585'&gt;http://pi.lib.uchicago.edu/1001/org/ochre/4f6583ec-383b-4e0f-8b4c-1ae5e5924585
DOI: 10.7910/dvn/vl7qmo
title: Replication data for: Empirical vs. Theoretical Claims about Extreme Counterfactuals: A Response

description: A response to Sambanis and Michaelides, "A Comment on Diagnostic Tools for Counterfactual Inference", which was a comment on: Gary King and Langche Zeng. 2006. "
&lt;a href="http://j.mp/iJ7KVv" target="_blank"&gt;The Dangers of Extreme Counterfactuals&lt;/a&gt;," &lt;em&gt;Political Analysis&lt;/em&gt;, 14, 2, Pp. 131-159. &lt;br /&gt;&lt;br /&gt; In response to the data-based measures of model dependence proposed in King and Zeng (2006), Sambanis and Michaelides (2008) propose alternative measures that rely upon assumptions untestable in observational data. If these assumptions are correct, then their measures are appropriate and ours, based solely on the empirical data, may be too conser
vative. If instead and as is usually the case, the researcher is not certain of the precise functional form of the data generating process, the distribution from whic
h the data are drawn, and the applicability of these modeling assumptions to new counterfactuals, then the data-based measures proposed in King and Zeng (2006) are much preferred. After all, the point of model dependence checks is to verify empirically, rather than to stipulate by assumption, the effects of modeling assumptions on counterfactual inferences.
DOI: 10.7910/dvn/gjwmyi
title: Relocation Experience of Urban Under-served Households

description: The study aimed to understand the lived experience of families that were moved from urban under-served settlements to government built low-income high-rises. 735 households were surveyed, which included households that had moved into allotted apartments in the high-rises, and for comparison purposes, those still living in under-served settlements awaiting allotment of houses in high-rises. The data collected from these households comprised of perceptions and lived experiences of the surveyed population.

This data provides an exhaustive list of explanatory variables relating to housing and respondent characteristics, social connectedness, perceptions of security and vulnerability to external shocks.

This particular dataset, therefore, is useful for researchers, policy makers and urban planners understand prevailing issues in relocation processes, and to enhance the well-being of existing dwellers in high-rises. This dataset is equally useful for planning future resettlement processes with “lessons learnt” from existing resettlement processes. It is also useful for researchers to identify patterns and trends visible within the community to prescribe policy solutions for urban under-served settlements.

For more: info@cepa.lk
description: For the comprehensive dataset, contact - info@cepa.lk