cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14213408
title: Concurrent optimisation of modular product and Reconfigurable Manufacturing System configuration: a customer-oriented offer for mass customisation

description: Reconfigurable Manufacturing Systems (RMS) emerged from companies’ needs to increase their responsiveness to an uncertain market, in which customers are increasingly demanding mass-customised products. Companies focused on mass customisation mainly use the modular product design (MPD) strategy to cost-effectively provide a large product variety. Hence, coupling the MPD with the manufacturing in RMS seems to be a good strategy to effectively provide mass-customised products with lower costs. However, few papers have concurrently optimised the modular products’ and RMS’s configurations for that end. Further, very few papers have explored the RMS’s layout configuration. In order to fill these gaps, this paper proposes a Nonlinear Integer Programming model that integrates the configuration of modular products and RMS, driven by individual customer requirements, to minimise manufacturing costs of mass-customised products. An approach combining a Modified Brute-Force Algorithm (MBFA) and a genetic algorithm (GA) is proposed and compared with a CPLEX-based approach for a small-sized problem, proving its ability to find an optimal solution in lower computation time. An illustrative example of modular smartphones confirms the MBFA-GA’s ability to solve medium/large-sized problems in a reasonable amount of time while ensuring an optimal product configuration that meets customer requirements.
DOI: 10.6084/m9.figshare.14213408.v1
title: Concurrent optimisation of modular product and Reconfigurable Manufacturing System configuration: a customer-oriented offer for mass customisation

description: Reconfigurable Manufacturing Systems (RMS) emerged from companies’ needs to increase their responsiveness to an uncertain market, in which customers are increasingly demanding mass-customised products. Companies focused on mass customisation mainly use the modular product design (MPD) strategy to cost-effectively provide a large product variety. Hence, coupling the MPD with the manufacturing in RMS seems to be a good strategy to effectively provide mass-customised products with lower costs. However, few papers have concurrently optimised the modular products’ and RMS’s configurations for that end. Further, very few papers have explored the RMS’s layout configuration. In order to fill these gaps, this paper proposes a Nonlinear Integer Programming model that integrates the configuration of modular products and RMS, driven by individual customer requirements, to minimise manufacturing costs of mass-customised products. An approach combining a Modified Brute-Force Algorithm (MBFA) and a genetic algorithm (GA) is proposed and compared with a CPLEX-based approach for a small-sized problem, proving its ability to find an optimal solution in lower computation time. An illustrative example of modular smartphones confirms the MBFA-GA’s ability to solve medium/large-sized problems in a reasonable amount of time while ensuring an optimal product configuration that meets customer requirements.
DOI: 10.5281/zenodo.6477619
title: Mixed nanoparticle 4D-STEM data

description: Gold, silica and iron oxide nanoparticle sample studied with 4D-STEM. Data acquired at the NUANCE center on the JEOL ARM300 taken with the Gatan K3-IS camera.
description: This work made use of the EPIC facility of Northwestern University's NUANCE Center, which has received support from the SHyNE Resource (NSF ECCS-2025633), the IIN, and Northwestern's MRSEC program (NSF DMR-1720139). Research reported in this publication was supported in part by instrumentation provided by the Office of The Director, National Institutes of Health of the National Institutes of Health under Award Number S10OD026871. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
DOI: 10.5281/zenodo.6477618
title: Mixed nanoparticle 4D-STEM data

description: Gold, silica and iron oxide nanoparticle sample studied with 4D-STEM. Data acquired at the NUANCE center on the JEOL ARM300 taken with the Gatan K3-IS camera.
description: This work made use of the EPIC facility of Northwestern University's NUANCE Center, which has received support from the SHyNE Resource (NSF ECCS-2025633), the IIN, and Northwestern's MRSEC program (NSF DMR-1720139). Research reported in this publication was supported in part by instrumentation provided by the Office of The Director, National Institutes of Health of the National Institutes of Health under Award Number S10OD026871. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
DOI: 10.15139/s3/h70uw8
title: Kenya CT-OVC Program Evaluation, Youth Data

description: This dataset is specifically for the Youth data of the dataset Kenya’s CT-OVC cash transfer program. Access to this data must be applied for separately. The files are password-protected using 7zip. Email transfer@unc.edu for the password. About the Kenya CT-OVC dataset: The study interviewed households, individuals, and community members at three time points, in 2007, 2009, and 2011. The data package contains six primary datasets (from three individual/household and three community surveys) and several auxiliary datasets that provide additional information on tracking and attrition. A sensitive section on sexual behavior from the third wave of the survey is excluded from this package and can be obtained through special requests. If you would like to gain access to the data in this study, please go to the CPC Data Portal, which will guide you through the process and requirements: http://data.cpc.unc.edu/projects/13/view Please DO NOT request access on Dataverse prior to submitting an application on the CPC Data Portal. Data may be downloaded in the following formats: Stata (version 11 or 14), SPSS windows, R, or SAS 9. The accompanying Data Use Instructions provide information about the dataset and merging each cross-section into a panel. The dataset is released by The Transfer Project, housed at the Carolina Population Center at the University of North Carolina – Chapel Hill. Additional information about the project not included in the Data Use Instructions can be found on The Transfer Project’s Website: https://transfer.cpc.unc.edu/.
DOI: 10.3886/icpsr25341.v3
title: National Incident-Based Reporting System, 2007: Extract Files
title: Version 3

description: The National Incident-Based Reporting System (NIBRS) is a part of the Uniform Crime Reporting Program (UCR), administered by the Federal Bureau of Investigation (FBI). The extract files version of NIBRS was created to simplify working with NIBRS data. Data management issues with NIBRS are significant, especially when two or more segment levels are being merged. These issues require skills separate from data analysis. NIBRS data as formatted by the FBI are stored in a single file. These data are organized by various segment levels (record types). There are six main segment levels: administrative, offense, property, victim, offender, and arrestee. Each segment level has a different length and layout. There are other segment levels that occur with less frequency than the six main levels. Significant computing resources are necessary to work with the data in its single-file format. In addition, the user must be sophisticated in working with data in complex file types. For these reasons and the desire to facilitate the use of NIBRS data, ICPSR created the extract files. The data are not a representative sample of crime in the United States.
description: Datasets: DS0: Study-Level Files DS1: Incident-Level File DS2: Victim-Level File DS3: Offender-Level File DS4: Arrestee-Level File
description: Law enforcement agencies in the United States participating in the National Incident-Based Reporting System.
description: self-enumerated questionnaire
DOI: 10.3886/icpsr25402.v1
title: Indian National Election Study, 1967, 1971, 1979, 1985
title: Version 1

description: The Indian National Election studies were a series of face-to-face surveys of adults in India in the periods immediately following the 1967, 1971, 1979, and 1985 national elections. This collection was based on the research of Samuel Eldersveld of the University of Michigan, Ahmed Bashiruddin of the Centre for the Study of Developing Societies in New Delhi, and Dwaine Marvick of the University of California-Los Angeles. The focus of these surveys was on the perceptions, attitudes, and behavior of the adult public toward party structures and organizations at the national level of government. In order to assess the sources of influence on respondents' political attitudes and behavior, they were asked about issues they considered to be most important to both the local and state population, and to rank these issues in order of priority. Respondents were also asked for their opinion on public organizations in India, as well as their level of involvement in these organizations. Respondents were asked if they aligned themselves with a party or a candidate, for whom they voted, and their level of involvement or previous experience in any party or candidate's political campaign. At the national level, respondents were asked for their opinions on the Indian Congress, its role and strength in the government, actions taken and legislation passed by the Congress and the level of involvement it should take concerning bovine issues. Also explored were the involvement and the opinion of the respondent's family and caste in the political process, party campaigns as well as interaction with party leaders. Demographic information includes whether or not the respondent was from a rural or urban setting, their caste classification, gender, age, religion, household composition, occupation, father's occupation, level of education completed, and income and monthly expenditures.
description: Datasets: DS0: Study-Level Files DS1: 1967 Data DS2: 1971 Data DS3: 1979 Data DS4: 1985 Data
DOI: 10.18112/openneuro.ds004107.v1.0.0
title: MIND DATA
DOI: 10.5281/zenodo.6435770
title: Práctica 1 - Tipología y ciclo de vida de los datos

description: Datasets de la Práctica 1 de la asignatura "Tipología y ciclo de vida de los datos" del Máster en Ciencia de Datos de la UOC.
DOI: 10.5281/zenodo.6435769
title: Práctica 1 - Tipología y ciclo de vida de los datos

description: Datasets de la Práctica 1 de la asignatura "Tipología y ciclo de vida de los datos" del Máster en Ciencia de Datos de la UOC.
DOI: 10.3886/icpsr25424.v2
title: Monitoring of Federal Criminal Sentences, [United States], 2007-2008
title: Version 2

description: This collection contains information on federal criminal cases sentenced under the Sentencing Guidelines and Policy Statements of the Sentencing Reform Act of 1984. The data files include all cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2007, and September 30, 2008, and were assessed as constitutional. Constitutionality compares each case's sentencing date, circuit, district, and judge to provide uniformity in reporting the cases. In 1999, the United States Sentencing Commission added more variables from its databases to this collection, so the data are now provided in two files. Several variables iterate to include multiple occurrences of the same event. Part 1, Main Data, includes all noniterating variables plus the highest occurrences of each iterating variable. Part 2, Supplementary Data, includes the remaining iterations.
description: Datasets: DS0: Study-Level Files DS1: Main Data DS2: Supplemental Data
description: All cases received by the United States Sentencing Commission that had sentencing dates between October 1, 2007, and September 30, 2008, and were assessed as constitutional. Smallest Geographic Unit: federal court district
description: Starting with the 1999 data, ICPSR archives MONITORING OF FEDERAL CRIMINAL SENTENCES under a new study number for each year of data. Data for the years 1993-1998 are archived in MONITORING OF FEDERAL CRIMINAL SENTENCES, 1987-1998 (ICPSR 9317).The data producer is the United States Sentencing Commission, Washington, DC.
DOI: 10.5281/zenodo.6478556
title: Viral Communication: Trajectories of Experience through the Pandemic - A Qualitative Longitudinal Dataset

description: Here, we present a dataset collected within a longitudinal interview study that has been conducted as part of a larger project (i.e., Viral Communication), exploring (changing) public attitudes and behaviours through the course of the pandemic in Germany. From a nationally representative survey, forty participants were purposively sampled on the basis of gender, age and socioeconomic status for the interviews. Each participant was interviewed three times within a 10 month time frame (between December 2020 and September 2021), with the exception of two dropouts from the study. The semi-structured interviews were developed to further elaborate on some of the responses in the survey instrument and to provide additional insights into topics and controversies surrounding the Covid-19 pandemic in Germany, such as information/misinformation, trust/distrust, compliance, vaccination, and conspiracy beliefs. Interviews Phase I (December 2020): 40 Interviews Interviews Phase II (April 2021): 38 Interviews Interviews Phase III (September 2021): 38 Interviews
DOI: 10.3886/icpsr25461.v2
title: National Crime Victimization Survey, 2008 [Collection Year Record-Type Files]
title: Version 2

description: The National Crime Victimization Survey (NCVS) Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1973. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. The survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual attack, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, motor vehicle theft, and vandalism. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected, to enable analysis of crime by various subpopulations. This version of the NCVS, referred to as the collection year, contains records from interviews conducted in the 12 months of the given year.
description: The data files include several weight variables used to calculate national estimates of: households, persons, victimizations, and incidents. The codebook describes how to use the weights.
description: Stratified multistage cluster sample.
description: Datasets: DS0: Study-Level Files DS1: Address Record-Type File DS2: Household Record-Type File DS3: Person Record-Type File DS4: Incident Record-Type File DS5: 2008 Collection Year Incident-Level Extract File
description: All persons in the United States aged 12 and over. Smallest Geographic Unit: region
description: computer-assisted personal interview (CAPI); computer-assisted telephone interview (CATI); face-to-face interview; telephone interviewThe 2008 Collection Year Incident-Level Extract File was created from the record-type files and includes information on victims of crime; nonvictims are not included. Under the collection year format a crime incident is included based on when the interview is conducted, not on when the crime incident occurred.The data were collected by the United States Department of Commerce, Bureau of the Census.
DOI: 10.5281/zenodo.5781239
title: 45 Vulnerability Discoverability Timelines from the 2019 Collegiate Penetration Testing Competition

description: <em><strong>Description</strong></em> This is a collection of manually curated timelines from the 2019 Collegiate Penetration Testing Competition (CPTC). Collection and annotation are described in detail in this publication: Benjamin S. Meyers, Sultan Fahad Almassari, Brandon N. Keller, and Andrew Meneely. Examining Penetration Tester Behavior in the Collegiate Penetration Testing Competition. Forthcoming at Transactions on Software Engineering and Methodology. https://dl.acm.org/doi/10.1145/3514040 <em><strong>Included Files</strong></em> <strong><em>2019_cptc_timelines.csv</em>:</strong> Completed timelines for ten teams from the 2019 CPTC nationals competition. <strong><em>2019_cptc_timeline_columns.csv</em>:</strong> Descriptions of the columns in <strong><em>2019_cptc_</em></strong><em><strong>timelines.csv</strong></em>. <strong><em>2019_cptc_vulnerabilities.csv</em>:</strong> Brief vulnerability descriptions and CWE mappings. <em><strong>Other Resources</strong></em> Complete Splunk log data dumps are available here. These must be ingested and viewed with a Splunk instance. To request access to the CPTC team reports, please contact Brock Wagehoft (email). <em><strong>Contact</strong></em> Please contact Benjamin S. Meyers (email) with questions about this data and its collection. <em><strong>Acknowledgments</strong></em> Collection of this data has been sponsored in part by the National Science Foundation grant 1922169, and by a Department of Defense DARPA SBIR program (grant 140D63-19-C-0018).
DOI: 10.5281/zenodo.5781238
title: 45 Vulnerability Discoverability Timelines from the 2019 Collegiate Penetration Testing Competition

description: <em><strong>Description</strong></em> This is a collection of manually curated timelines from the 2019 Collegiate Penetration Testing Competition (CPTC). Collection and annotation are described in detail in this publication: Benjamin S. Meyers, Sultan Fahad Almassari, Brandon N. Keller, and Andrew Meneely. Examining Penetration Tester Behavior in the Collegiate Penetration Testing Competition. Forthcoming at Transactions on Software Engineering and Methodology. https://dl.acm.org/doi/10.1145/3514040 <em><strong>Included Files</strong></em> <strong><em>2019_cptc_timelines.csv</em>:</strong> Completed timelines for ten teams from the 2019 CPTC nationals competition. <strong><em>2019_cptc_timeline_columns.csv</em>:</strong> Descriptions of the columns in <strong><em>2019_cptc_</em></strong><em><strong>timelines.csv</strong></em>. <strong><em>2019_cptc_vulnerabilities.csv</em>:</strong> Brief vulnerability descriptions and CWE mappings. <em><strong>Other Resources</strong></em> Complete Splunk log data dumps are available here. These must be ingested and viewed with a Splunk instance. To request access to the CPTC team reports, please contact Brock Wagehoft (email). <em><strong>Contact</strong></em> Please contact Benjamin S. Meyers (email) with questions about this data and its collection. <em><strong>Acknowledgments</strong></em> Collection of this data has been sponsored in part by the National Science Foundation grant 1922169, and by a Department of Defense DARPA SBIR program (grant 140D63-19-C-0018).
DOI: 10.25919/ac4a-vb84
title: Parkes observations for project P1152 semester 2022APRS_02

description: A large population of millisecond pulsars (MSPs) is expected in the Galactic bulge and is supported, among others, by the existence of a spatially extended gamma-ray excess emission discovered in Fermi-LAT data towards the inner Galaxy. Discovering MSPs in the Galactic bulge, would be a major breakthrough with strong impact onto several fields. In Berteaud et al. [2021a, 2021b], we have designed a new method to select bulge MSP candidates among Chandra X-ray cataloged sources. We also analysed imaging data of the VLA and identified 5 potential bulge MSP candidates, detected both with Chandra and VLA. Here we propose to follow up these 5 sources with the UWL receiver system on Parkes, which has the unique potential of probe their MSP nature thanks to multi-band, deep, observations. With the requested time, for two high-priority candidates, we will be able identify any bulge MSP with a pulse period P &gt; 1 ms. Three targets at lower priority can be identified as bulge MSP if their period is larger than 4 ms. Our goal is to provide the first multi-wavelength diagnostics of bulge MSPs, gather information about the MSP/pulsar ratio among the bulge X-ray candidates, and, finally, unveil the nature of the mysterious Fermi-LAT excess.
DOI: 10.6084/m9.figshare.19638783
title: Bugula_SD2019_MASTER.xls

description: Raw data from experiment examining resistance to copper toxicity across generations and populations in a common fouling organism <em>Bugula neritina. </em>Settling success, survival counts, and growth data (number of bifurcations) are recorded each week for six weeks.
DOI: 10.6084/m9.figshare.19638786.v1
title: Bugula_SD2019_Wk6Expanded.csv

description: Data from experiment examining resistance to copper toxicity across generations and populations in a common fouling organism <em>Bugula neritina. </em>These data show growth and survival of individuals that made it to week six and are organized by individual (rather than averaged across dishes i.e., binary survival data by individual rather than proportional data).
DOI: 10.6084/m9.figshare.19638786
title: Bugula_SD2019_Wk6Expanded.csv

description: Data from experiment examining resistance to copper toxicity across generations and populations in a common fouling organism <em>Bugula neritina. </em>These data show growth and survival of individuals that made it to week six and are organized by individual (rather than averaged across dishes i.e., binary survival data by individual rather than proportional data).
DOI: 10.3886/icpsr25623.v1
title: Consumer Expenditure Survey, 2007: Interview Survey and Detailed Expenditure Files
title: Version 1

description: The ongoing Consumer Expenditure Survey (CES) provides a continuous flow of information on the buying habits of American consumers and also furnishes data to support periodic revisions of the Consumer Price Index.
description: National probability sample of households designed to represent the total noninstitutionalized civilian population.
description: Datasets: DS1: Consumer Expenditure Survey, 2007: Interview Survey and Detailed Expenditure Files
description: Noninstitutionalized civilian population of the United States.
description: computer-assisted personal interview (CAPI); face-to-face interviewThese data are distributed exactly as they arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigators if further information is desired.