cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/icpsr35518.v1
title: Primacy in the Effects of Face Exposure: Perception is Influenced More By Faces That Are Seen First
title: Version 1

description: Exposure to faces biases perceptions of subsequently viewed faces. In literature on memory, there are prominent effects of primacy, whereby people remember things better if they are at the beginning of a list. Here we tested for primacy in face exposure by exposing people to faces that had been transformed in opposite directions twice. In one condition, for example, we exposed people to "plus" faces and measured how much they thought "plus" faces appeared normal and then exposed them to "anti" faces and again measured how much they thought "plus" faces appeared normal. A primacy effect would be seen if after the second measurement, judgments of "plus" faces were unchanged from the first measurement whereas a recency effect would be seen if after the second measurement, judgments of "plus" faces were lower than from the first measurement. We found no change in normality judgement between first and second judgments supporting a primacy effect. Our results indicated a primacy effect in adaptation whereby faces seen first affected perception more than faces seen later. This primacy effect could lead to long lasting effects of exposure to faces.
description: Convenience, volunteers visiting a research website.
description: Datasets: DS1: Primacy in the Effects of Face Exposure: Perception is Influenced More By Faces That Are Seen First
description: web-based surveyThis dataset is associated with an in press publication: Little AC, Jones BC, and DeBruine LM. (In Press). Primacy in the effects of face exposure: perception is influenced more by faces that are seen first. Archives of Scientific Psychology.
DOI: 10.3886/icpsr35626.v1
title: When Should Guidance Be Presented During Physics Instruction?
title: Version 1

description: It is often recommended that providing students with explicit instruction by, for example, using a worked example to show them directly how to solve a problem may be more beneficial for transfer performance after learners attempt to solve the problem first on their own rather than presenting the worked example first. There is a concern, however, that the studies that have indicated a problem solving first advantage have often used mismatched manipulations between experimental groups such as adopting different learning materials between the groups in the learning phase. The current experiments compared example-problem and problem-example sequences in physics learning using strictly controlled conditions with examples and problems identical for both sequences and the order of activities as the only variable that was altered. The study also investigated the effect of presenting principle-based information as a form of instructional explanations to supplement worked examples or problems. The results supported the general conclusion that learning is facilitated by the early rather than later use of explicit guidance that prioritizes worked examples and by providing learners with other information that they may require to successfully solve transfer problems.
description: Datasets: DS0: Study-Level Files DS1: Experiment 1 DS2: Experiment 2
description: High school students.
description: Data and documentation (in SPSS and Microsoft Word format) are contained in a zipped package.
DOI: 10.3886/icpsr36095.v3
title: National Center for Teacher Effectiveness Main Study
title: Version 3

description: The National Center for Teacher Effectiveness Main Study (NCTE) encompasses three years of data collection and observations of math instruction in approximately 50 schools and 300 classrooms. Data were collected from classroom observations, student assessments, and teacher surveys. Teacher background information includes number of years of experience, education, race, and gender. Student respondent demographic and household information includes race, gender, household makeup, free and reduced lunch status, English proficiency, number of books in the household, and number of rooms in the home.
description: The data are not weighted and there are no weight variables present in the data.
description: Response Rates: 56 percent
description: Presence of Common Scales: Mathematical Knowledge for Teaching (MKT), Mathematical Quality of Instruction (MQI), Classroom Assessment Scoring System (CLASS), Tripod Student Survey
description: NCTE partnered with 4 public school districts, which were chosen due to prior established relationships. The study targeted 4th and 5th grade math teachers from all public schools where principals agreed to allow for the randomization of class rosters to teachers in year 3 of the study. Teachers were recruited from schools where there were at least 2 or more math teachers in either 4th or 5th grade.
description: Datasets: DS0: Study-Level Files DS1: Class Observations DS2: Mathematical Quality of Instruction DS3: Student Questionnaire DS4: Value Added Scores DS5: Student Administrative Data DS6: Teacher Background Questionnaire DS7: Teacher Fall Questionnaire DS8: Teacher Spring Questionnaire DS9: Student Test Responses DS10: Student Random Assignment Roster
description: Elementary (4th and 5th Grade) math teachers and students. Smallest Geographic Unit: District
description: coded video observation; cognitive assessment test; mail questionnaireAdditional information about the National Center for Teacher Effectiveness Main Study can be found at the National Center for Teacher Effectiveness Web site.
DOI: 10.3886/icpsr36044.v1
title: National Crime Victimization Survey: Identity Theft Supplement, 2014
title: Version 1

description: The primary purpose of the Identity Theft Supplement is to obtain additional information about identity theft-related victimizations so that policymakers, academic researchers, practitioners at the Federal, state and local levels, and special interest groups who are concerned with identity theft can make informed decisions concerning policies and programs. Responses are linked to the NCVS survey instrument responses for a more complete understanding of the individual's circumstances.
description: The data contain weights for creating national estimates.
description: Response Rates: The ITS response rate was 90.6 percent. The combined overall NCVS-ITS unit response rate for NCVS households, NCVS persons, and ITS persons was 66.1 percent.
description: Each household member age 16 years or older was administered the 2014 ITS questionnaire.
description: Datasets: DS1: National Crime Victimization Survey: Identity Theft Supplement, 2014
description: NCVS household members ages 16 years or older. Smallest Geographic Unit: Region
description: computer-assisted personal interview (CAPI); computer-assisted telephone interview (CATI)
DOI: 10.5281/zenodo.6480457
title: ReMIX pea-barley dataset FiBL/INRAe

description: This dataset contains agronomic measurement data of pure stands and mixed stands of 27 pea genotypes (<em>P. sativum </em>L.) and 8 barley genotypes (<em>H. vulgare </em>L.), sown in an incomplete factorial (Haug et al., 2021) at two locations in Switzerland over two years (2018 and 2019) under organic management. It contains 13'522 data points collected on 960 micro plots. total yield mixed stand/pure stand yield fraction yields of pea and barley in mixed stand land equivalent ratios (LERs) early vigor early canopy height (1st measurement) early canopy height (2nd measurement) canopy height at grain filling canopy height at maturity onset of pea flowering total biomass stipule length stipule size stipule area lodging at grain filling lodging at maturity The data set contains data used in the PhD thesis of Benedikt Haug (http://theses.fr/2021UPASB042). The data was acquired in the framework of the ReMIX project (https://www.remix-intercrops.eu/) which was funded by the European Union's Horizon 2020 research and innovation program, under grant agreement nr. 727217. Literature: Haug, B., Messmer, M. M., Enjalbert, J., Goldringer, I., Forst, E., Flutre, T., et al. (2021). Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept. <em>Front. Plant Sci.</em> 11. doi: 10.3389/fpls.2020.620400.
DOI: 10.3886/icpsr36109.v1
title: Mapping Congress: Roll Call Votes of the Congress of the Confederate States of America, 1862-1865
title: Version 1

description: This data collection is a sub-project associated with ICPSR #67, Roll Call Voting Records for the Confederate Congresses, 1862-1865, and represents an investigation of the voting records of representatives and senators of the Congress of the Confederacy. The project was conducted for use in a geographic information system, in order to understand the relationship between geography and public policy during the American Civil War.
description: None
description: The data were not sampled; this collection contains complete data from the Confederate Journal.
description: Datasets: DS1: Mapping Congress: Roll Call Votes of the Congress of the Confederate States of America, 1862-1865
description: All voting members of both chambers of the three Confederate Congresses in the United States in the period 1861-1865. Smallest Geographic Unit: Congressional District
description: record abstracts; mixed modeThis collection is being released exactly as it was provided to ICPSR. Please refer to the related data collection, ICPSR #67, Roll Call Votes of the Congress of the Confederate States of America for further information.A unique identifier, MCCJOINID, was created for each election and roll call record, based on Congress, chamber, state, and district or class. Please see the Mapping Congress Guide to Confederate Data Document found in the zip package for further information.For additional information on the Mapping Congress project, as well as to obtain shapefiles and further data, please visit the Mapping Congress Web site.
DOI: 10.3886/icpsr36109
title: Mapping Congress: Roll Call Votes of the Congress of the Confederate States of America, 1862-1865
title: Archival Version

description: This data collection is a sub-project associated with ICPSR #67, Roll Call Voting Records for the Confederate Congresses, 1862-1865, and represents an investigation of the voting records of representatives and senators of the Congress of the Confederacy. The project was conducted for use in a geographic information system, in order to understand the relationship between geography and public policy during the American Civil War.
description: None
description: The data were not sampled; this collection contains complete data from the Confederate Journal.
description: Datasets: DS1: Mapping Congress: Roll Call Votes of the Congress of the Confederate States of America, 1862-1865
description: All voting members of both chambers of the three Confederate Congresses in the United States in the period 1861-1865. Smallest Geographic Unit: Congressional District
description: record abstracts; mixed modeThis collection is being released exactly as it was provided to ICPSR. Please refer to the related data collection, ICPSR #67, Roll Call Votes of the Congress of the Confederate States of America for further information.A unique identifier, MCCJOINID, was created for each election and roll call record, based on Congress, chamber, state, and district or class. Please see the Mapping Congress Guide to Confederate Data Document found in the zip package for further information.For additional information on the Mapping Congress project, as well as to obtain shapefiles and further data, please visit the Mapping Congress Web site.
DOI: 10.21227/jwxd-ja23
title: ValueInvesting.io - Discounted Cash Flows and WACC

description: When it comes to building DIscounted Cash Flow and WACC for global stocks, there is no competition to ValueInvesting.io. They are the ultimate value investing platform. Using comprehensive historical data and unbiased Wall St estimate, they are able to build super accurate models that truly reflect the intrisinc value of any stock. They are transparent about the assumptions they make so that you know exactly where the numbers you are viewing on the website come from.About DIscounted Cash Flow, they split the models into multiple subsections such as Revenue & Expenses, Working Capital, Capital Expenditure,etc.. to help users understand all the components of the DCF model. Sensitivity analysis is also done to help users understand how the fair value reported by the Discounted Cash Flow will change if the assumptions are changed. The sensitivity analysis helps to make users feel more confident about the results of DCF.The customer support of ValueInvesting.io is top-notch. You can always expect a response within a few hours after your first message
DOI: 10.5281/zenodo.6480562
title: ReMIX pea-barley dataset FiBL/INRAe

description: This dataset contains agronomic measurement data of pure stands and mixed stands of 27 pea genotypes (<em>P. sativum </em>L.) and 8 barley genotypes (<em>H. vulgare </em>L.), sown in an incomplete factorial (Haug et al., 2021) at two locations in Switzerland over two years (2018 and 2019) under organic management. It contains 13'522 data points collected on 960 micro plots. total yield mixed stand/pure stand yield fraction yields of pea and barley in mixed stand land equivalent ratios (LERs) early vigor early canopy height (1st measurement) early canopy height (2nd measurement) canopy height at grain filling canopy height at maturity onset of pea flowering total biomass stipule length stipule size stipule area lodging at grain filling lodging at maturity The data set contains data used in the PhD thesis of Benedikt Haug (http://theses.fr/2021UPASB042). The data was acquired in the framework of the ReMIX project (https://www.remix-intercrops.eu/) which was funded by the European Union's Horizon 2020 research and innovation program, under grant agreement nr. 727217. Literature: Haug, B., Messmer, M. M., Enjalbert, J., Goldringer, I., Forst, E., Flutre, T., et al. (2021). Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept. <em>Front. Plant Sci.</em> 11. doi: 10.3389/fpls.2020.620400.
DOI: 10.3886/icpsr36121.v2
title: National Incident-Based Reporting System, 2013: Extract Files
title: Version 2

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. Smallest Geographic Unit: city
description: record abstractsStarting with the 2012 data, some offense, location, bias motivation, race, and ethnicity codes have been added or modified to include recent Advisory Policy Board (APB) and Office of Management and Budget (OMB) policy mandates to the UCR Program related to Human Trafficking, Hate Crime, and Race and Ethnicity information.At the recommendation of the CJIS APB and with the approval of the FBI Director, the FBI UCR Program initiated the collection of rape data under a revised definition and removed the term "forcible" from the offense name in 2013. The changes bring uniformity to the offense in both the Summary Reporting System (SRS) and the NIBRS by capturing data (1) without regard to gender, (2) including penetration of any bodily orifice by any object or body part, and (3) including offenses where physical force is not involved. As a result of this decision, the program renamed the NIBRS sex offenses - Forcible Rape to Rape, Forcible Sodomy to Sodomy, and Forcible Fondling to Fondling.Prior to the 2013 data, the Batch Header information was released as three segments. Due to the NIBRS data rapidly growing in size, the FBI has removed the B1, B2, and B3 sections. All information in these sections is now contained in a single batch header (BH) segment. Variable names have been updated to reflect the change in the record layout.
DOI: 10.5281/zenodo.6480567
title: ReMIX pea-barley dataset FiBL/INRAe

description: This dataset contains agronomic measurement data of pure stands and mixed stands of 27 pea genotypes (<em>P. sativum </em>L.) and 8 barley genotypes (<em>H. vulgare </em>L.), sown in an incomplete factorial (Haug et al., 2021) at two locations in Switzerland over two years (2018 and 2019) under organic management. It contains 13'522 data points collected on 960 micro plots. total yield mixed stand/pure stand yield fraction yields of pea and barley in mixed stand land equivalent ratios (LERs) early vigor early canopy height (1st measurement) early canopy height (2nd measurement) canopy height at grain filling canopy height at maturity onset of pea flowering total biomass stipule length stipule size stipule area lodging at grain filling lodging at maturity The data set contains data used in the PhD thesis of Benedikt Haug (http://theses.fr/2021UPASB042). The data was acquired in the framework of the ReMIX project (https://www.remix-intercrops.eu/) which was funded by the European Union's Horizon 2020 research and innovation program, under grant agreement nr. 727217. Literature: Haug, B., Messmer, M. M., Enjalbert, J., Goldringer, I., Forst, E., Flutre, T., et al. (2021). Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept. <em>Front. Plant Sci.</em> 11. doi: 10.3389/fpls.2020.620400.
DOI: 10.5281/zenodo.6480456
title: ReMIX pea-barley dataset FiBL/INRAe

description: This dataset contains agronomic measurement data of pure stands and mixed stands of 27 pea genotypes (<em>P. sativum </em>L.) and 8 barley genotypes (<em>H. vulgare </em>L.), sown in an incomplete factorial (Haug et al., 2021) at two locations in Switzerland over two years (2018 and 2019) under organic management. It contains 13'522 data points collected on 960 micro plots. total yield mixed stand/pure stand yield fraction yields of pea and barley in mixed stand land equivalent ratios (LERs) early vigor early canopy height (1st measurement) early canopy height (2nd measurement) canopy height at grain filling canopy height at maturity onset of pea flowering total biomass stipule length stipule size stipule area lodging at grain filling lodging at maturity The data set contains data used in the PhD thesis of Benedikt Haug (http://theses.fr/2021UPASB042). The data was acquired in the framework of the ReMIX project (https://www.remix-intercrops.eu/) which was funded by the European Union's Horizon 2020 research and innovation program, under grant agreement nr. 727217. Literature: Haug, B., Messmer, M. M., Enjalbert, J., Goldringer, I., Forst, E., Flutre, T., et al. (2021). Advances in Breeding for Mixed Cropping – Incomplete Factorials and the Producer/Associate Concept. <em>Front. Plant Sci.</em> 11. doi: 10.3389/fpls.2020.620400.
DOI: 10.21227/39a1-wn06
title: SEC filings - AlphaResearch

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DOI: 10.3886/icpsr36137.v1
title: Educator Sexual Misconduct Database, 2008 - 2010
title: Version 1

description: The Educator Sexual Misconduct Database identifies a sample of criminal cases related to educator sexual misconduct (regardless of the specific criminal statute the defendant was ultimately charged under). The sample of cases all involve a defendant who was connected to the victim through their roles as an educator or school staff member, and who are alleged to have had physical sexual contact with a minor. This database provides a sample of criminal cases specific to educator sexual misconduct even if the defendant's custodial relationship to the minor is not specifically referenced in any of the criminal charges. The sample was identified through news media coverage of criminal proceedings based on a content analysis of newspaper archives and court records available in the LexisNexis news. Cases include convictions ranging from improper relationship between educator and student, to contributing to the delinquency of a minor.
description: Variables include criminal charges, case characteristics, victim demographics, defendant occupational role, defendant demographics, criminal case resolution, and criminal case outcomes.
description: None
description: Cases were selected into the sample based on news media coverage of the criminal trial and inclusion of the news source in the LexisNexis news archive. Relevant news documents were identified using the following search terms in LexisNexis: "teacher AND student AND sexual relationship OR sexual contact OR rape OR sexual assault," and restricting the search to all U.S. based news sources. These search terms were selected to ensure inclusion of cases that were not tried under statutory or custodial relationship statues. The sample was limited to cases that were reported on in the news media in 2008, 2009, or 2010 and for which the trial had occurred no earlier than 2005. Please refer to the codebook for more information on sampling.
description: Datasets: DS1: Educator Sexual Misconduct Database, 2008 - 2010
description: Criminal cases of educator sexual misconduct. Smallest Geographic Unit: United States
description: record abstracts
DOI: 10.6084/m9.figshare.19641561
title: IABPD and Gensini Score

description: Dataset to investigate the role of Inter-Arm Blood Pressure Difference (IABPD) as a tool for predicting coronary artery disease (CAD) severity.
DOI: 10.6084/m9.figshare.19641561.v1
title: IABPD and Gensini Score

description: Dataset to investigate the role of Inter-Arm Blood Pressure Difference (IABPD) as a tool for predicting coronary artery disease (CAD) severity.
DOI: 10.6084/m9.figshare.19641654
title: AGB of managed grasslands in China

description: This is a dataset associating with a MS submitted to the journal of <em>Scinece China: Life Sciences, </em>entitled " Opportunity to enhance grassland above-ground biomass potential through managed grassland establishment in China", by Guocheng Wang and his coauthors.