cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25614/bllgeo_1992_2015
title: Blood lead level test results for children residing in North Carolina, 1992 - 2015

description: Blood lead level (BLL) test results for years 1992-2015 for children residing in North Carolina. These data are collected as part of the Childhood Lead Poisoning Surveillance program. There is one record per child and test with a unique identifier for each child. Information includes the BLL test result in micrograms per deciliter, date of the test, demographic information (race, ethnicity, sex), birth date, X/Y coordinates and census block. Note that the 2015 records are incomplete. Some records are missing.
DOI: 10.5255/ukda-sn-855803
title: Youth Engagement and Skills Acquisition Within Africa's Transport Sector: Promoting a Gender Agenda Towards Transitions into Meaningful Work, Qualitative Data Collection, 2019-2022

description: Youth engagement and skills acquisition within Africa’s transport sector was a collaborative research project between Durham University, UK, the University of Sokoto, Nigeria, the South African Labour and Development Research Unit [SALDRU] at the University of Cape Town, South Africa, and the UK-based NGO Transaid. The project’s core data set deposited with RESHARE comprises in-depth interviews focused on daily mobility and transport, conducted by project academic staff and young unemployed women we trained as peer researchers at the outset of the study; a small number of focus group discussions conducted by academic staff; and diaries focused on daily mobility, mostly written by peer researchers during the pandemic. Anonymised data sets are provided for each of the three study cities. Note: The research team had also anticipated collecting quantitative data concerning the pilot trainings for transport users and transport workers led by Transaid. These were to have comprised baseline assessments, followed by post-intervention surveys after one month and six months to assess skills uptake among participating women. Although Transaid staff succeeded in implementing pilot training interventions in each city, in the final months of the project, COVID constraints limited recruitment numbers and the collection of baseline data amenable to statistical analysis. Collection of post-intervention data has not been possible due to COVID constraints and the requirement to end the project on 31st March 2022. Transaid’s reports on the pilot interventions will be made available on the project website: https://transportandyouthemploymentinafrica.com
DOI: 10.25614/cohort_dbr_education_1993_2005
title: Linked NC births and education data, Grade 4, cohort years 1993-2005

description: The dataset described in this document is the combination of two sources: 1. 'Births' – Detailed birth records for births in North Carolina from 1990 through 2013. 2. 'Education' – End-of-grade education information for students in North Carolina public or charter schools in grades 3-8 for school years 2002-2003 through 2015-2016. The resulting linked dataset includes all birth and education records for children born in the cohort years, regardless of whether they are linked.
DOI: 10.5255/ukda-sn-855800
title: Identifying and Mitigating the Individual and Dyadic Impact of COVID-19 and Life under Physical Distancing on People with Dementia and Carers, 2020-2022

description: INCLUDE was a mixed-methods cross-sectional observational study embedded in, and forming a discrete component of, the ongoing longitudinal ‘Improving the experience of Dementia and Enhancing Active Life’ (IDEAL) cohort. INCLUDE comprised 172 people with dementia and 288 carers living in England and Wales. People with dementia residing in care homes could not be contacted to take part so only community dwelling people with dementia took part in INCLUDE. Interviews with people with dementia were carried out over the telephone or via videoconference. All responses were recorded by researchers using an online survey designed in Qualtrics. Carers were either interviewed in a similar way or self-completed an online form in their own time. Data were stored in Qualtrics. Structured assessments with all participants were conducted remotely due to COVID-19 restrictions between September 21, 2020, and April 30, 2021. For people with dementia, interviews began with questions about health and healthcare during the pandemic, and subsequent sections covered perceptions of social connection and relationships, psychological health, ability to manage everyday life during the period, and overall perceptions of the capability to ‘live well.’ Carers were asked to provide informant reports and describe their own experiences. The questions for carers covered health, social networks, psychological well-being, and caregiving experiences. In addition, people with dementia and carers who were both willing and able to participate in a semi-structured interview were identified, and interviews were conducted remotely between November 2020 and January 2022. Three sets of interviews were conducted, totalling 51 interviews. In the first set, eighteen interviews were conducted representing 21 participants: 8 were with people with dementia, 7 were with carers and 3 were joint interviews, i.e., the person with dementia and carer were interviewed together. In the second set, fourteen interviews were conducted representing 15 participants: 7 with people with dementia, 6 with carers, and 1 joint interview. For the third set, participants had previously been interviewed either for one of the two sets of INCLUDE in-depth interviews or for an earlier IDEAL sub-study conducted at the start of the pandemic, the IDEAL COVID-19 Dementia Initiative (IDEAL-CDI). In the third set, nineteen interviews were conducted: 9 with people with dementia and 10 with carers. Of the people with dementia interviewed in this third set, 6 participants were from INCLUDE set 1 interviews, 2 from INCLUDE set 2 interviews and 1 from IDEAL-CDI. Of the carers interviewed in this third set, 6 participants were from INCLUDE set 1 interviews, 3 from INCLUDE set 2 interviews and 1 from IDEAL-CDI. It must be noted that the IDEAL-CDI interviews are not archived, and the data is not currently available.
DOI: 10.25614/cohort_dbr_lead_1992_2009
title: Linked NC births and lead test results data, cohort years 1992-2009

description: The dataset described in this document is the combination of two sources: 1. 'Births' – Detailed birth records for births in North Carolina from 1990 through 2013. 2. 'Lead' – Blood lead level (BLL) test results for children residing in North Carolina for October 1992 through December 2015. The resulting linked dataset includes all birth and lead records for children born in the cohort years, regardless of whether they are linked. Indicators are provided to easily identify records that contain both birth and lead data for a child, only birth information, or only lead information. All records are retained so that researchers can compare the linked population to those not linked and identify biases if they exist.
DOI: 10.25614/dbr1990_1999
title: North Carolina detailed birth records during the period 1990 - 1999

description: Long form birth records for children born in the state of North Carolina during the period 1990-1999. Includes information regarding maternal health, infant health, events of labor and delivery, and maternal and paternal demographics.
DOI: 10.25614/dbr2010
title: North Carolina detailed birth records for 2010

description: Detailed birth records for children born in the state of North Carolina during the year 2010. Includes information regarding maternal health, birth details, and neonatal details.
DOI: 10.6084/m9.figshare.20277778
title: Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models

description: We define a novel class of additive models, called Extended Latent Gaussian Models, that allow for a wide range of response distributions and flexible relationships between the additive predictor and mean response. The new class covers a broad range of interesting models including multi-resolution spatial processes, partial likelihood-based survival models, and multivariate measurement error models. Because computation of the exact posterior distribution is infeasible, we develop a fast, scalable approximate Bayesian inference methodology for this class based on nested Gaussian, Laplace, and adaptive quadrature approximations. We prove that the error in these approximate posteriors is op(1) under standard conditions, and provide numerical evidence suggesting that our method runs faster and scales to larger datasets than methods based on Integrated Nested Laplace Approximations and Markov chain Monte Carlo, with comparable accuracy. We apply the new method to the mapping of malaria incidence rates in continuous space using aggregated data, mapping leukemia survival hazards using a Cox Proportional-Hazards model with a continuously-varying spatial process, and estimating the mass of the Milky Way Galaxy using noisy multivariate measurements of the positions and velocities of star clusters in its orbit. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.20277778.v1
title: Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models

description: We define a novel class of additive models, called Extended Latent Gaussian Models, that allow for a wide range of response distributions and flexible relationships between the additive predictor and mean response. The new class covers a broad range of interesting models including multi-resolution spatial processes, partial likelihood-based survival models, and multivariate measurement error models. Because computation of the exact posterior distribution is infeasible, we develop a fast, scalable approximate Bayesian inference methodology for this class based on nested Gaussian, Laplace, and adaptive quadrature approximations. We prove that the error in these approximate posteriors is op(1) under standard conditions, and provide numerical evidence suggesting that our method runs faster and scales to larger datasets than methods based on Integrated Nested Laplace Approximations and Markov chain Monte Carlo, with comparable accuracy. We apply the new method to the mapping of malaria incidence rates in continuous space using aggregated data, mapping leukemia survival hazards using a Cox Proportional-Hazards model with a continuously-varying spatial process, and estimating the mass of the Milky Way Galaxy using noisy multivariate measurements of the positions and velocities of star clusters in its orbit. Supplementary materials for this article are available online.
DOI: 10.25614/dbr2011_2014
title: North Carolina Detailed Birth Records during the period 2011 - 2014

description: Detailed birth records for children born in the state of North Carolina during the period 2011-2014. Includes information regarding maternal health, birth details, and neonatal details.
DOI: 10.25614/ei_us_2000_bg
title: Educational isolation values based on the 2000 census block group level using the 2000 census boundaries

description: These data contain a residential isolation value for people with or without a college degree at the census block group level. Population counts from the 2000 census are used to calculate the index. For each block group, the index is the proportion of the population (with or without a college degree) in the index block group and block groups adjacent to the index block group.  Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent block groups.
DOI: 10.6084/m9.figshare.16601913
title: Estimating energy interindustry linkages based on the Hypothetical Extraction Method (HEM) in China and USA

description: Energy efficiency policies can help to reduce energy use and mitigate the effects of climate change. This paper examines the U.S. and Chinese economies by applying HEM to both. Key sectors absorbing more energy from other sectors by purchasing intermediate products from them and, simultaneously, transferring more energy by selling products to the rest of the sectors are identified. This provides insights for decision-making on appropriate energy efficiency policies. It appears that the U.S. economy should focus on the service sector, and the Chinese should focus on the industrial sector.
DOI: 10.6084/m9.figshare.16601913.v1
title: Estimating energy interindustry linkages based on the Hypothetical Extraction Method (HEM) in China and USA

description: Energy efficiency policies can help to reduce energy use and mitigate the effects of climate change. This paper examines the U.S. and Chinese economies by applying HEM to both. Key sectors absorbing more energy from other sectors by purchasing intermediate products from them and, simultaneously, transferring more energy by selling products to the rest of the sectors are identified. This provides insights for decision-making on appropriate energy efficiency policies. It appears that the U.S. economy should focus on the service sector, and the Chinese should focus on the industrial sector.
DOI: 10.25614/ei_us_2000_trt
title: Educational isolation values based on the 2000 census tract level using the 2000 census boundaries

description: These data contain a residential isolation value for people with or without a college degree at the census tract level. Population counts from the 2000 census are used to calculate the index. For each tract, the index is the proportion of the population (with or without a college degree) in the index tract and tracts adjacent to the index tract.  Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent tracts.
DOI: 10.6084/m9.figshare.20352763.v1
title: News-Driven Uncertainty Fluctuations*

description: We investigate the channels through which news influences the subjective beliefs of economic agents, with a particular focus on their subjective uncertainty. The main insight of the paper is that news that is more at odds with agents’ prior beliefs generates an increase in uncertainty; news that is more consistent with their prior beliefs generates a decrease in uncertainty. We illustrate this insight theoretically and then estimate the model empirically using data on US output and professional forecasts to provide novel measures of news shocks and uncertainty. We then estimate impulse responses from the identified shocks to show that news shocks can affect macroeconomic variables in ways that resemble the effects of uncertainty shocks. Our results suggest that controlling for news can potentially diminish the estimated effects of uncertainty shocks on real variables, particularly at longer horizons.
DOI: 10.6084/m9.figshare.20352763
title: News-Driven Uncertainty Fluctuations*

description: We investigate the channels through which news influences the subjective beliefs of economic agents, with a particular focus on their subjective uncertainty. The main insight of the paper is that news that is more at odds with agents’ prior beliefs generates an increase in uncertainty; news that is more consistent with their prior beliefs generates a decrease in uncertainty. We illustrate this insight theoretically and then estimate the model empirically using data on US output and professional forecasts to provide novel measures of news shocks and uncertainty. We then estimate impulse responses from the identified shocks to show that news shocks can affect macroeconomic variables in ways that resemble the effects of uncertainty shocks. Our results suggest that controlling for news can potentially diminish the estimated effects of uncertainty shocks on real variables, particularly at longer horizons.
DOI: 10.25614/ei_us_2010_bg
title: Educational isolation values based on the 2010 census block group level using the 2008-2012 ACS 5-year population estimates

description: These data contain a residential isolation value for people with or without a college degree at the census block group level. Population counts from the 2008-2012 5-year American Community Survey (ACS) are used to calculate the index. For each block group, the index is the proportion of the population (with or without a college degree) in the index block group and block groups adjacent to the index block group.  Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent block groups.
DOI: 10.25614/ei_us_2010_trt
title: Educational isolation values based on the 2010 census tract level using the 2008-2012 ACS 5-year population estimates

description: These data contain a residential isolation value for people with or without a college degree at the census tract level. Population counts from the  2008-2012 5-year American Community Survey are used to calculate the index. For each tract, the index is the proportion of the population (with or without a college degree) in the index tract and tracts adjacent to the index tract. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent tracts.
DOI: 10.25614/ei_us_2015_bg
title: Educational isolation values based on the 2013-2017 5-year ACS population estimates using the 2010 block group boundaries 

description: These data contain a residential isolation value for people with or without a college degree at the census block group level. Population counts from the 2013-2017 5-year American Community Survey (ACS) are used to calculate the index. For each block group, the index is the proportion of the population (with or without a college degree) in the index block group and block groups adjacent to the index block group. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent block groups.
DOI: 10.25614/ei_us_2015_trt
title: Educational isolation values based on the 2015 census tract level using the 2013-2017 5-year ACS population estimates

description: These data contain a residential isolation value for people with or without a college degree at the census tract level. Population counts from the  2013-2017 5-year American Community Survey are used to calculate the index. For each tract, the index is the proportion of the population (with or without a college degree) in the index tract and tracts adjacent to the index tract. Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent block groups.  Islands (areal units with no first-level adjacent areal units) are removed as it is not possible to calculate isolation for units with no adjacent tracts.
DOI: 10.5255/ukda-sn-855857
title: Asylum Seekers and Refugees' Negotiations of the COVID-19 Pandemic, 2020-2022

description: This project collected data about how organisations working with or for asylum seekers and refugees responded to the COVID-19 pandemic. This project explored the needs of refugees and asylum-seekers in Glasgow, Scotland and in Newcastle-Gateshead, in the North-East of England, in the context of COVID-19. We focused on these cities because they are key points of dispersal with established asylum service infrastructures spanning distinctive national contexts. Due to ethical issues the data cannot be shared. The questionnaire used for the collection is made available in the record.
DOI: 10.25614/eog_2000_2007
title: End-of-grade testing results for students in grades 3-8 in North Carolina public schools. Years 2000-2007

description: These data contain end-of-grade testing results for students in grades 3-8 in North Carolina public schools for school years 1999-2000 through 2006-2007. The end-of-grade (EoG) tests are standardized reading and math tests administered across the state by the NC Department of Public Instruction (DPI). Results from retests are included. Additional relevant student information such as demographics, school and school district, absences, disabilities, economic status, and residential geolocation are also available.
DOI: 10.25614/eog_2008_2012
title: End-of-grade testing results for students in grades 3-8 in North Carolina public schools. Years 2008-2012

description: These data contain end-of-grade testing results for students in grades 3-8 in North Carolina public schools for school years 2007-2008 through 2011-2012. The end-of-grade (EoG) tests are standardized reading and math tests administered across the state by the NC Department of Public Instruction (DPI). Results from retests are included. Additional relevant student information such as demographics, school and school district, absences, disabilities, economic status, and residential geolocation are also available.
DOI: 10.25614/eog_2013_2016
title: End-of-grade testing results for students in grades 3-8 in North Carolina public schools. Years 2013-2016

description: These data contain end-of-grade testing results for students in grades 3-8 in North Carolina public schools for school years 2012-2013 through 2015-2016. The end-of-grade (EoG) tests are standardized reading and math tests administered across the state by the NC Department of Public Instruction (DPI). Results from retests are included. Additional relevant student information such as demographics, school and school district, absences, disabilities, economic status, and residential geolocation are also available.
DOI: 10.25614/ndi_2000_trt_allstates
title: Neighborhood Deprivation Index for year 2000, using the 2000 census geographic boundaries

description: The NDI provides a measure of neighborhood deprivation at the census tract level, with higher values corresponding to more severe deprivation. Each state's values are analyzed independently. The NDI empirically summarizes eight census variables representing five domains: income/poverty, education, employment, housing, and occupation. The eight census variables include the percent of: (1) males in management and professional occupations; (2) crowded housing; (3) households in poverty; (4) female-headed households with dependents; (5) households on public assistance; (6) households with earnings less than $30,000 per year; (7) individuals with less than a high school education; and (8) individuals that are unemployed. The NDI is calculated using a principal components analysis (Messer et al. 2006), such that the NDI values produced depend on the study area that is used in the NDI calculation. Specifically, the NDI value calculated for a given census tract will differ if the NDI was calculated using, for example, all tracts in the county vs. all tracts in the state vs. all tracts in the United States. Prior to selecting, calculating, or using the NDI, it is critically important to define the study area and analytical goals so that the most appropriate study domain is used for the NDI calculation.