cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e195162v1
title: Replication: Incomes and Income Inequality in Stockholm, 1870–1970: Evidence from Micro Data

description: In the early 1900s, economic inequality was stark in the industrialized countries, but over the decades after the First World War, inequality fell in what has been labelled the Great Levelling. This paper studies the Swedish capital of Stockholm, using uniquely detailed micro data, to investigate mechanisms of the high inequality prevailing until about 1920, and the equalization thereafter. The investigation builds on a new dataset from the population register, comprising 38,022 randomly sampled Stockholm residents, using information about income for persons who earned enough to pay income tax, but also, for taxpayers and non-taxpayers alike, job title, age, and household composition, in the years 1870, 1880, 1900, 1910, 1920, 1940 and 1950. This is complemented with the Census of 1930 and a Statistics Sweden random sample for 1960 and 1970. The results show that incomes were very unequally distributed 1870–1920, with Gini coefficients of pre-tax income around sixty and with no statistically significant change. After 1920 inequality fell quite steadily for every benchmark year, to a Gini coefficient of to the mid-fifties in 1930, mid-forties in 1950, and the thirties in 1970. A drop in capital incomes contributed, and when looking at post-tax incomes the growth of progressive taxation after 1930 also contributed, but most of the high inequality up to 1920 and equalization after that depended on the distribution of labour income. We show that professional groups had huge income advantages over workers in the early 1900s, but that this advantage was drastically reduced after 1920 when working-class incomes grew rapidly. An important mechanism of income growth was the replacement of worse-paid jobs by better paid jobs. The share of domestic servants in the working class was reduced from 45 percent in 1870 to 10 percent in 1950. Given the decline of domestic service generally in the Western world in this period and the associated upgrading of the female work force, this has implications for understanding inequality also elsewhere. The results show the importance of structural change, beyond the Kuznetsian binary of agriculture–manufacturing, for understanding long-run economic inequality.
DOI: 10.21338/ess4at
title: ESS4 - Austria (Fieldwork period 01.11.10 to 28.02.11)
DOI: 10.7284/145988
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AR61-B using a Hawaii UHDAS instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145991
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AR61-B using a SeaBird SBE-911+ instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146005
title: Flowmeter data collected during research cruise AR61-B using a Thiel Thiel Flowmeter instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145976
title: Fluorometer data collected during research cruise AR61-B using a WETLabs WETStar instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145983
title: GNSS (Global Navigation Satellite System) data collected during research cruise AR61-B using a CCTech C-Nav 3050 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146003
title: GNSS (Global Navigation Satellite System) data collected during research cruise AR61-B using a Kongsberg DPS112 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145990
title: Gravimeter data collected during research cruise AR61-B using a Bell BGM-3 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145996
title: Gyrocompass data collected during research cruise AR61-B using a Sperry NAVIGAT X MK 1 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146002
title: INS (Inertial Navigation System) data collected during research cruise AR61-B using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145992
title: Meteorological Station data collected during research cruise AR61-B using a Vaisala WXT520 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145993
title: Meteorological Station data collected during research cruise AR61-B using a Vaisala WXT520 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146009
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise AR61-B using a GeneralOceanics 8050 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145985
title: Radiometer data collected during research cruise AR61-B using a Eppley RAD instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145986
title: Radiometer data collected during research cruise AR61-B using a Biospherical QSR-2150 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145982
title: Singlebeam Echosounder data collected during research cruise AR61-B using a Knudsen 3260 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146006
title: Speedlog data collected during research cruise AR61-B using a Furuno DS-60 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145997
title: Splitbeam Echosounder data collected during research cruise AR61-B using a Kongsberg EK80 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146007
title: SSV (Sound Speed Velocimeter) data collected during research cruise AR61-B using a Valeport Thru-Hull SVS instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145994
title: Water Temperature data collected during research cruise AR61-B using a SeaBird SBE-48 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/146008
title: Transmissometer data collected during research cruise AR61-B using a SeaBird C-Star instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145978
title: TSG (Thermosalinograph) data collected during research cruise AR61-B using a SeaBird SBE-45 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145959
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise AR63 using a Hawaii UHDAS instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145960
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise AR63 using a SeaBird SBE-911+ instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145961
title: Expendable Probe data collected during research cruise AR63 using a Sippican MK21 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145969
title: Flowmeter data collected during research cruise AR63 using a Thiel Thiel Flowmeter instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145952
title: Fluorometer data collected during research cruise AR63 using a WETLabs WETStar instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145956
title: GNSS (Global Navigation Satellite System) data collected during research cruise AR63 using a CCTech C-Nav 3050 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145968
title: GNSS (Global Navigation Satellite System) data collected during research cruise AR63 using a Kongsberg DPS112 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145965
title: Gyrocompass data collected during research cruise AR63 using a Sperry NAVIGAT X MK 1 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145967
title: INS (Inertial Navigation System) data collected during research cruise AR63 using a Applanix POS/MV-320 V5 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145962
title: Meteorological Station data collected during research cruise AR63 using a Vaisala WXT520 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145963
title: Meteorological Station data collected during research cruise AR63 using a Vaisala WXT520 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145973
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise AR63 using a GeneralOceanics 8050 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145957
title: Radiometer data collected during research cruise AR63 using a Eppley RAD instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145958
title: Radiometer data collected during research cruise AR63 using a Biospherical QSR-2150 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145955
title: Singlebeam Echosounder data collected during research cruise AR63 using a Knudsen 3260 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145970
title: Speedlog data collected during research cruise AR63 using a Furuno DS-60 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145966
title: Splitbeam Echosounder data collected during research cruise AR63 using a Kongsberg EK80 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145971
title: SSV (Sound Speed Velocimeter) data collected during research cruise AR63 using a Valeport Thru-Hull SVS instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145964
title: Water Temperature data collected during research cruise AR63 using a SeaBird SBE-48 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/145972
title: Transmissometer data collected during research cruise AR63 using a SeaBird C-Star instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.21338/ess4lt
title: ESS4 - Lithuania (no design weights)
DOI: 10.7284/145953
title: TSG (Thermosalinograph) data collected during research cruise AR63 using a SeaBird SBE-45 instrument system onboard the platform RV Neil Armstrong

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.21338/ess4inte03
title: ESS4 - data from Interviewer's questionnaire, ed. 3.0
DOI: 10.21338/ess4mtmme01_0
title: ESS4 - test variables from Supplementary questionnaire, edition 1.0
DOI: 10.6084/m9.figshare.24565495
title: Untitled ItemSupporting information for the paper "Molecular Insights into the Variability in Infection and Immune Evasion Capabilities of SARS-CoV-2 Variants: A Sequence and Structural Investigation of the RBD Domain".

description: The "input" subfolder within the support files.zip file contains the protein structure files, topology files, and parameter files required for running the molecular dynamics simulations with GROMACS, as mentioned in the paper "Molecular Insights into the Variability in Infection and Immune Evasion Capabilities of SARS-CoV-2 Variants: A Sequence and Structural Investigation of the RBD Domain". The "rmsd" subfolder includes the root mean square deviation (RMSD) data from all the molecular dynamics simulations, which were run independently in triplicates. The "Ramachandran" subfolder contains the Ramachandran plots for all proteins obtained through homology modeling.<br>The support_information.pdf contains detailed RMSD data from the molecular dynamics simulation process of the RBD-ACE2 binding for various variants, statistics of hydrogen bonds and salt bridges, residue contact maps, and detailed data from the alanine scanning residue energy decomposition.
DOI: 10.6084/m9.figshare.24565495.v1
title: Untitled ItemSupporting information for the paper "Molecular Insights into the Variability in Infection and Immune Evasion Capabilities of SARS-CoV-2 Variants: A Sequence and Structural Investigation of the RBD Domain".

description: The "input" subfolder within the support files.zip file contains the protein structure files, topology files, and parameter files required for running the molecular dynamics simulations with GROMACS, as mentioned in the paper "Molecular Insights into the Variability in Infection and Immune Evasion Capabilities of SARS-CoV-2 Variants: A Sequence and Structural Investigation of the RBD Domain". The "rmsd" subfolder includes the root mean square deviation (RMSD) data from all the molecular dynamics simulations, which were run independently in triplicates. The "Ramachandran" subfolder contains the Ramachandran plots for all proteins obtained through homology modeling.<br>The support_information.pdf contains detailed RMSD data from the molecular dynamics simulation process of the RBD-ACE2 binding for various variants, statistics of hydrogen bonds and salt bridges, residue contact maps, and detailed data from the alanine scanning residue energy decomposition.
DOI: 10.21338/ess4cf_e02_1
title: ESS4 - data from Contact forms, edition 2.1
DOI: 10.18712/nsd-nsd2343-v9
title: Norwegian Citizen Panel Round 5, 2015

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. For access to time series data, or text data, please contact DIGSSCORE. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2344-v9
title: Norwegian Citizen Panel Round 6, 2016

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. For access to time series data, or text data, please contact DIGSSCORE. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.18712/nsd-nsd2401-v8
title: Norwegian Citizen Panel Round 7, 2016

description: The Norwegian Citizen Panel is a platform for internet surveys of public opinion in important areas of society and politics in Norway. Participants are randomly recruited from the Norwegian population register, and they are encouraged to participate over time. The panel was fielded for the first time the fall of 2013 and as of 2017 the survey is carried out three times a year. The University of Bergen owns and is responsible for the Citizen panel. The company ideas2evidence recruits respondents, produces the survey, and provides documentation of the data. Data is stored and shared by Sikt - Norwegian Agency for Shared Services in Education and Research. For access to time series data, or text data, please contact DIGSSCORE. The Norwegian Citizen Panel welcomes research proposals for survey content. More information about calls and other updates are available at www.uib.no/en/citizen

The full text for the answer options can be found in the codebook, which is located further down the page.
DOI: 10.6084/m9.figshare.24547816
title: A Resilient Battery Electric Bus Transit System Configuration (Source data)

description: This data is linked with a research article (A Resilient Battery Electric Bus Transit System Configuration).
DOI: 10.6084/m9.figshare.24547816.v1
title: A Resilient Battery Electric Bus Transit System Configuration (Source data)

description: This data is linked with a research article (A Resilient Battery Electric Bus Transit System Configuration).
DOI: 10.14279/depositonce-18422
title: HsMM-EEG for a Mental Rotation Task

description: This package contains the necessary data and code files to reproduce the application of HsMM-EEG for the Mental Rotation Task.
DOI: 10.21227/etqz-hy32
title: Supplemental material for "Multi-Layered Continuous Reasoning for Cloud-IoT Application Management"

description: The advent of the Internet of Things has increased the interest in automating mission-critical processes from domains such as smart cities. These applications' stringent Quality of Service (QoS) requirements motivate their deployment through the Cloud-IoT Continuum, which requires solving the NP-hard problem of placing the application's services onto the infrastructure's devices. Moreover, as the infrastructure and application change over time, the placement needs to continuously adapt to these changes to maintain an acceptable QoS. While continuous reasoning techniques have enabled the creation of tools for these scenarios, they can have some trouble finding a feasible adaptation for abrupt and sharp changes, requiring non-adaptive techniques in those cases. Furthermore, for scenarios with smoother changes, it would be desirable to have faster algorithms to perform this placement. To explore the trade-off of effectiveness and execution times of different methods while ensuring that an application placement is found, we propose Multi-Layered Continuous Reasoning (MLCR) as a framework to adapt application placements through multiple continuous reasoning-based methods. We also present an MLCR prototype based on three methods: Faustum, MigDADO, and ConDADO. An evaluation in a realistic use case shows that MLCR is faster than traditional methods for application placement and maintains an acceptable QoS.
DOI: 10.25381/cput.24541063
title: Effect of lean six sigma on order fulfilment process: evidence from manufacturing companies in Gauteng, South Africa

description: <b>Ethical Clearance reference </b> No | 2021_FBMSREC 103A questionnaire was employed in this study to acquire data because it allowed the researcher to have a full understanding of the respondents who replied as it allowed enough time and space to respond and provide the respondents’ views. Additionally, this research method allowed researchers to collect data remotely. Accessing respondents in Gauteng Province would have been difficult for the researcher given the travel and other limits placed on people due to Covid-19 in South Africa at the time. The concerns or difficulties identified by the literature were considered while creating the questionnaire. Out of three hundred (300) participants, one hundred and fifty eight (158) workers answered the questionnaire. The workers were well versed in LSS requirements and the order fulfilment procedure.
DOI: 10.25381/cput.24541063.v1
title: Effect of lean six sigma on order fulfilment process: evidence from manufacturing companies in Gauteng, South Africa

description: <b>Ethical Clearance reference </b> No | 2021_FBMSREC 103A questionnaire was employed in this study to acquire data because it allowed the researcher to have a full understanding of the respondents who replied as it allowed enough time and space to respond and provide the respondents’ views. Additionally, this research method allowed researchers to collect data remotely. Accessing respondents in Gauteng Province would have been difficult for the researcher given the travel and other limits placed on people due to Covid-19 in South Africa at the time. The concerns or difficulties identified by the literature were considered while creating the questionnaire. Out of three hundred (300) participants, one hundred and fifty eight (158) workers answered the questionnaire. The workers were well versed in LSS requirements and the order fulfilment procedure.
DOI: 10.34740/kaggle/dsv/6973973
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.10129841
title: Dataset of "Vertical pathway inhibition of receptor tyrosine kinases and BAD with synergistic efficacy in triple negative breast cancer"
DOI: 10.5281/zenodo.10129840
title: Dataset of "Vertical pathway inhibition of receptor tyrosine kinases and BAD with synergistic efficacy in triple negative breast cancer"
DOI: 10.21338/ess3lv
title: ESS3 - Latvia (no design weights)
DOI: 10.21338/ess3ro
title: ESS3 - Romania (no design weights)