cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26976232
title: Supplementary Material for: Expecting Relocation to a Nursing Home: Longitudinal Links with Functional Limitations, Self-Rated Health, and Life Satisfaction

description: Introduction: Developing realistic expectations of future old age constitutes an adaptational process which facilitates the anticipation of- and adjustment to challenges, such as relocation to a nursing home. Developing such expectations might minimize negative impacts of relocation. This pre-registered study examined (a) to which extent lower levels and declines in health (i.e., functional limitations and self-rated health) and life satisfaction before relocation were associated with higher levels and increases in expectations to relocate, and (b) to which extent higher expectations to relocate were associated with more positive changes in health and life satisfaction after relocation. Methods: Using data from the Health and Retirement Study (HRS; 2006-2018), we selected older adults (aged 65 years and older) who relocated to a nursing home. We used latent growth curve models (LGMs) to assess the longitudinal links between self-reported measures of health, life satisfaction, and expectations to relocate to a nursing home from up to seven years before (n = 1,048) until up to five years after relocation (n = 307). Results: As hypothesized, more functional limitations and lower self-rated health were related to higher expectations of relocation. Surprisingly, changes in expectations to relocate were not related to changes in health and life satisfaction before relocation. Moreover, expectations to relocate were not associated with changes in health and life satisfaction after relocation. Conclusion: The absence of a link between expectations to relocate to a nursing home with changes in health and well-being suggests that these expectations did not constitute adaptational processes before or after this transition.
DOI: 10.6141/tw-srda-ah020013-1
title: Survey on Equality in Employment and Management, 2017

description: Survey on Gender Equality in Employment and Management
DOI: 10.15787/vtt1j01q
title: Naturalistic Engagement in Secondary Tasks (NEST) Dataset

description: The Naturalistic Engagement in Secondary Tasks (NEST) data set is the product of a collaboration between the Virginia Tech Transportation Institute (VTTI) and the Toyota Collaborative Safety Research Center (Toyota CSRC). The purpose of the project was to develop a dataset that would enable users to study multiple aspects of secondary task involvement including factors which may contribute to distraction and to distraction-related safety-critical events (SCEs) that include a crash or near-crash (C/NC). The dataset also includes baseline epochs to aid in future research. The dataset will eventually be available to the public and will allow researchers access to de-identified, highly detailed time-series data as well as additional high-level data about both secondary task engagement and distraction-related SCEs during real-world driving. Further information about the construction of this data set can be found in Owens, Angell, Hankey, Foley, & Ebe (2015), and information regarding specific variables in the data set can be found in the accompanying NEST Data Dictionary.
description: Detailed information about glances, hands-off-wheel, and secondary task activities, as well as event summary data, were coded for the time period surrounding C/NC and baseline events, while high-level information about secondary task engagement was coded for the entire trips prior to these events and baselines, up to 20 minutes (with oversampling for longer trips).
description: The data set consists of 1,180 Microsoft Excel files.
DOI: 10.17894/ucph.ccc9d536-8f1f-4a3c-bad0-901bb2f0c8ab
title: WiLiMan-ID D5.1
DOI: 10.15468/dl.nwtw5b
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ruppia tuberosa J.S.Davis & Toml.",
 "Year 2010-2020"
 ]
}

 The dataset includes 86 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026412-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6141/tw-srda-ah020014-1
title: Survey on Equality in Employment and Management, 2018

description: Survey on Gender Equality in Employment and Management
DOI: 10.6141/tw-srda-ah020015-1
title: Survey on Equality in Employment and Management, 2019

description: Survey on Gender Equality in Employment and Management
DOI: 10.6141/tw-srda-ah020016-1
title: Survey on Equality in Employment and Management, 2020

description: Survey on Gender Equality in Employment and Management
DOI: 10.6141/tw-srda-ah020017-1
title: Survey on Equality in Employment and Management, 2021

description: Survey on Gender Equality in Employment and Management
DOI: 10.5281/zenodo.7437870
title: JULES ISIMIP2b fire data

description: © Crown Copyright, Met Office JULES model output data, driven with four Earth System Models according to ISIMIP2b protocol. The model simulations include fire, as detailed in Mathison et al (2022). The variables here are those used for the burnt area and land carbon analysis, for the paper "Fire weakens land carbon sinks before 1.5℃" The accompanying data is made available under the terms of the Non-Commercial Government Licence (https://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/) Reference: Mathison, C., Burke, E., Hartley, A. J., Kelley, D. I., Burton, C., Robertson, E., Gedney, N., Williams, K., Wiltshire, A., Ellis, R. J., Sellar, A., and Jones, C.: Description and Evaluation of the JULES-ES setup for ISIMIP2b, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1196, 2022.
DOI: 10.17632/34tphk2yxz.1
title: Salter S. 2021 Note for COP 26 on Marine Cloud Brightening

description: Present policies of most Governments, with a few predictable exceptions, concentrate on the desperate need to get to zero carbon emissions as soon as possible. This is a necessary but not sufficient objective. There is strong evidence from the Keeling curve below, about the difficulty.
 
But if we could reduce carbon emissions to zero the concentration of atmospheric greenhouse gases will be what we have now plus what we will be emitting between now and the zero-emission date minus the amount taken up by the oceans. This means that typhoons, floods, droughts, bushfires, sea-level rise, Arctic ice loss and damage to coral will all be worse, perhaps much worse than now. If you think that present conditions are not acceptable you have to conclude that zero is not low enough. As well as reducing emissions we will HAVE TO remove greenhouse gases, probably with help from phytoplankton, and also do direct cooling a soon as we can and hopefully ramp it down as emissions reduce.
DOI: 10.17632/3sb9zk9rc9.1
title: Salter S. 2020 Sea Level Rise and Ice Recovery

description: This is a MathCad worksheet which calculates the number of spray vessels needed to reverse the rise in
sea levels using John Latham's proposal for marine cloud brightening. I was surprised at the result and
would like the arguments and assumptions checked.
Any initial engineering calculation to assess feasibility has to make use of many approximate assumptions
with questionable accuracy. These are marked with red text. If there is any chance of a feasible outcome
it will be necessary to increase confidence in them. Single lumped numbers should be replaced by
multi-decade variables. Blue is plain text. Black is live algebra with automatic unit handling. I can
easily adjust the final spray vessel calculation for any other assumptions and would like to know your
values.
Key points are that the power to cool ocean water is about 25 times the power needed to save the ice and
nearly 600 times the peak electrical generating capacity of the United States in 2018 and just over 35
times total world energy use.
DOI: 10.17632/5z3t72n6rd.1
title: Baiman 2024 Incremental Polar SAI, the International Space Station, and Great Barrier Reef MCB

description: A 'coalition of the willing' strategy for gradual pilot-testing and incremental deployment of Stratospheric Aerosol Injection (SAI) in the polar regions.
DOI: 10.17632/8bmwp98786.1
title: Salter S. 2022 Simulations of a Demonstration of Cloud Albedo Change

description: The reflectivity of marine stratocumulus clouds can be increased by a change of the concentration of cloud condensation nuclei. The increase can be sufficient to reverse global warming Latham et (2008). This paper shows the results as a function of initial cloud conditions and spray quantity and shows that it may be difficult to detect planet saving effects by eye.
1.Twomey (1977)showed that the reflectivity of a cloud depends on the size distribution of its drops. For the same liquid water content, a large number of small drops will reflect more than a small number of large ones. For a wide range of cloud conditions, doubling the number of drops will increase reflectivity by about 0.056, Schwarz and Slingo (1996). In clean mid-oceanic clouds the concentration of cloud drops (set by humidity and the availability of condensation nuclei) is quite low, often between 50 and 100 per cm3 Bennartz (2007) and sometimes as low as 10. The salty residues left after the evaporation of submicron drops of sea spray are ideal cloud condensation nuclei. Latham (1990) (2008) suggested spraying sub-micron drops of sea water into the marine boundary layer to increase the reflectivity of marine stratocumulus clouds and send more solar energy back out to space.
DOI: 10.17632/pr38g8834g.2
title: Oeste F. and Elsworth C. 2024 Tropospheric photosensitive Climate Catalyst Aerosols (CCAs) for climate cooling

description: Since preindustrial times methane‘s atmospheric concentration has roughly tripled, so that it now contributes around 40% of the current energy imbalance causing global warming (Forster et al, 2023, Hansen et al, 2023). Methane has an instantaneous global warming potential per unit mass of 120x that of CO2, and globally there are millions of methane sources. However, it is not cost-effective to plug or otherwise remove all these sources, nor is it practical to capture methane from major sources such as wetlands or rice paddies. Methane currently has an average lifetime of around 9-10 years, and we propose shortening that by enhancing its natural sink using climate catalyst aerosols.
As a highly inert volatile organic compound (VOC), methane is removed naturally from the air only by a process initiated by oxidative chemical radicals. These are mainly the hydroxyl radical (°OH), and the chlorine radical (°Cl). Depending on humidity, °Cl initiates methane oxidation at least 16x faster than °OH (Oeste et al, 2017). The atmosphere’s oxidative capacity (AOC) constituted by these radicals (i.e. methane sink) is increasingly consumed by VOC emissions and other sources such as carbon monoxide from wild-fires, agricultural slash and burn, and vehicle and industrial emissions. A future hydrogen economy will consume the AOC further, because H2 is a chemical reductant (i.e. reacts with oxidants). H2 is also a greenhouse gas with a global warming potential at least 8 times that of CO2 (Derwent 2023).
DOI: 10.18128/d060.v2.7
title: American Time Use Survey Data Extract Builder: Version 2.7

description: The American Time Use Survey Data Extract Builder (ATUS-X) is a part of IPUMS Time Use, dedicated to making time use data easier for researchers to use. The American Time Use Survey (ATUS) ATUS is an ongoing annual time diary study, started in 2003, that is funded by the U.S. Bureau of Labor Statistics (BLS) and fielded by the U.S. Census Bureau. It provides detailed information about the activities in which respondents engage together with extensive information about the characteristics of those respondents and other members of their households. The ATUS is a general purpose survey that already has been used to study a diverse range of topics, including parent time with children, gender differences in time devoted to household work, household production over the life cycle and its implications for the well-being of elderly Americans, hours of paid work, and the effects of shift work on time for other activities, to name just a few. ATUS-X is an online data access system and available free of charge to registered users at www.ipums.org/timeuse.
DOI: 10.25318/1110024101-fra
title: Seuils de faible revenu (SFR) avant et après impôt selon la taille de la communauté et la taille de la famille, en dollars courants

description: Seuils de faible revenu (SFR) avant et après impôt selon la taille de la communauté et la taille de la famille, en dollars courants, données annuelles.
DOI: 10.3886/icpsr34061.v1
title: National Crime Victimization Survey, [United States], 2011
title: Version 1

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: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
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: 2011 Collection Year Incident-Level Extract File
description: National Crime Victimization Survey (NCVS) Series
description: computer-assisted personal interview (CAPI)
description: face-to-face interview
description: All persons in the United States aged 12 and over. Smallest Geographic Unit: region
description: Stratified multistage cluster sample.
DOI: 10.3886/icpsr36142.v1
title: National Crime Victimization Survey, [United States], 2014
title: NCVS 2014
title: Version 1

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: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
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: 2014 Collection Year Incident-Level Extract File
description: National Crime Victimization Survey (NCVS) Series
description: computer-assisted personal interview (CAPI)
description: face-to-face interview
description: All persons in the United States aged 12 and older. Smallest Geographic Unit: region
description: Stratified multistage cluster sample.
DOI: 10.3886/icpsr36448.v1
title: National Crime Victimization Survey, [United States], 2015
title: NCVS 2015
title: Version 1

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: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Created variable labels and/or value labels.; Standardized missing values.; Performed recodes and/or calculated derived variables.; Checked for undocumented or out-of-range codes..
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: 2015 Collection Year Incident-Level Extract File
description: National Crime Victimization Survey (NCVS) Series
description: computer-assisted personal interview (CAPI)
description: face-to-face interview
description: All persons in the United States aged 12 and older. Smallest Geographic Unit: region
description: Stratified multistage cluster sample.
DOI: 10.5281/zenodo.6365726
title: Compendium of specialized metabolite biosynthetic diversity encoded in bacterial genomes

description: Bacterial specialized metabolites are a proven source of antibiotics and cancer therapeutics, but whether we have sampled all the secondary metabolite chemical diversity of cultivated bacteria is not known. We analysed ~ 170,000 bacterial genomes and ~ 47,000 metagenome assembled genomes (MAGs) using a modified BiG-SLiCE and the new clust-o-matic algorithm. We found that only 3% of the natural products potentially encoded in bacterial genomes have been experimentally characterized. We show that the variation of secondary metabolite biosynthetic diversity drops significantly on a genus level, identifying it as an appropriate taxonomic rank for comparison. Equal comparison of genera based on Relative Evolutionary Distance revealed that <em>Streptomyces</em> bacteria encode the largest biosynthetic diversity by far, with <em>Amycolatopsis</em>, <em>Kutzneria</em> and <em>Micromonospora</em> also encoding substantial chemical diversity. Finally we find that several less-well-studied taxa such as Weeksellaceae (Bacteroidota), Myxococcaceae (Myxococcota), <em>Pleurocapsa</em> and Nostocaceae (Cyanobacteria) have potential to produce highly diverse secondary metabolites that warrant further investigation.
description: Final version
DOI: 10.6141/tw-srda-ah030001-1
title: Survey on Women's Employment Equality and Satisfaction, 2007

description: Survey on Gender Equality at the Workplace