56 datasets found
  1. g

    United States Supreme Court Justices Biographical Data, 1789-1958 - Version...

    • search.gesis.org
    Updated Feb 15, 2021
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    Schmidhauser, John R. (2021). United States Supreme Court Justices Biographical Data, 1789-1958 - Version 1 [Dataset]. http://doi.org/10.3886/ICPSR07240.v1
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    Dataset updated
    Feb 15, 2021
    Dataset provided by
    ICPSR - Interuniversity Consortium for Political and Social Research
    GESIS search
    Authors
    Schmidhauser, John R.
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de441284https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de441284

    Description

    Abstract (en): This study contains biographical data on the 92 Supreme Court justices appointed between 1789 and 1958. Potter C. Stewart, appointed in 1958, was the last justice to be included in the study. The study recorded personal data such as place of birth, education, political as well as nonpolitical occupation, legal and judicial experience, age at the time of Supreme Court appointment, ethnic background, and religious affiliation. Other background information on each justice includes party identification, reputation as a frequent dissenter, and the state from which he was appointed. Various aspects of family background such as social and economic status, paternal occupation, and familial traditions of judicial service were also explored. 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: Standardized missing values.; Checked for undocumented or out-of-range codes.. United States Supreme Court justices appointed between 1789 and 1958. The sample in this study consists of the entire population.

  2. Bio-optical Data from Chilean Coastal waters 2017 - 2020

    • researchdata.edu.au
    • data.csiro.au
    datadownload
    Updated Dec 4, 2020
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    Elizabeth Brewer; Bozena Wojtasiewicz; Diego Ocampo Melgar; Patricio Bernal; Andy Steven; Joey Crosswell; Nagur Cherukuru; Tim Malthus; Lesley Clementson (2020). Bio-optical Data from Chilean Coastal waters 2017 - 2020 [Dataset]. http://doi.org/10.25919/QBBV-V359
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    datadownloadAvailable download formats
    Dataset updated
    Dec 4, 2020
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Elizabeth Brewer; Bozena Wojtasiewicz; Diego Ocampo Melgar; Patricio Bernal; Andy Steven; Joey Crosswell; Nagur Cherukuru; Tim Malthus; Lesley Clementson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 17, 2017 - May 8, 2020
    Description

    This is a collection of data consisting of pigment concentration and composition, particulate and dissolved absorption co-efficients and total suspended matter concentration. The data relates to samples collected in Chilean coastal waters where aquaculture is present. The data will be used to develop a local algorithm for retrieved satellite estimates of bio-optical parameters in the water column. Lineage: Water samples were taken on-board the vessel and stored under cool and dark conditions until filtering took place on land. Samples were analysed and QC procedures were carried out in the Bio-Analytical facility, CSIRO Marine Labs, Hobart. For pigment analysis, 4 litres of sample water was filtered through a 47 mm glass fibre filter (Whatman GF/F) and then stored in liquid nitrogen until analysis. To extract the pigments, the filters were cut into small pieces and covered with 100% acetone (3 mls) in a 10 ml centrifuge tube. The samples were vortexed for about 30 seconds and then sonicated for 15 minutes in the dark. The samples were then kept in the dark at 4 °C for approximately 15 hours. After this time 200 µL water was added to the acetone such that the extract mixture was 90:10 acetone:water (vol:vol) and sonicated once more for 15 minutes. The extracts were centrifuged to remove the filter paper and then filtered through a 0.2 µm membrane filter (Whatman, anatope) prior to analysis by HPLC using a Waters Alliance high performance liquid chromatography system, comprising a 2695XE separations module with column heater and refrigerated autosampler and a 2996 photo-diode array detector. Immediately prior to injection the sample extract was mixed with a buffer solution (90:10 28 mM tetrabutyl ammonium acetate, pH 6.5 : methanol) within the sample loop. Pigments were separated using a Zorbax Eclipse XDB-C8 stainless steel 150 mm x 4.6 mm ID column with 3.5 µm particle size (Agilent Technologies) with gradient elution as described in Van Heukelem and Thomas (2001). The separated pigments were detected at 436 nm and identified against standard spectra using Waters Empower software. Concentrations of chlorophyll a, chlorophyll b, b,b-carotene and b,e-carotene in sample chromatograms were determined from standards (Sigma, USA or DHI, Denmark). For Absorption coefficients: 4 litres of sample water was filtered through a 25 mm glass fibre filter (Whatman GF/F) and the filter was then stored flat in liquid nitrogen until analysis. Optical density spectra for total particulate matter were obtained using a Cintra 404 UV/VIS dual beam spectrophotometer equipped with an integrating sphere. For CDOM: water filtered through a 0.22 Durapore filter on an all glass filter unit. Optical density spectra was obtained using 10 cm cells in a Cintra 404 UV/vis spectrophotometer with Milli-q water as a reference. For TSM: determined by drying the filter at 60°C to constant weight; the filter may then be muffled at 450°C to burn off the organic fraction. The inorganic fraction is weighed ad the organic fraction is determined as the difference between the SPM and the inorganic fraction.

  3. Samples and data accessibility in research biobanks

    • zenodo.org
    • data.niaid.nih.gov
    xls
    Updated Jan 24, 2020
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    Marco Capocasa; Paolo Anagnostou; Flavio D'Abramo; Giulia Matteucci; Valentina Dominici; Giovanni Destro Bisol; Fabrizio Rufo; Marco Capocasa; Paolo Anagnostou; Flavio D'Abramo; Giulia Matteucci; Valentina Dominici; Giovanni Destro Bisol; Fabrizio Rufo (2020). Samples and data accessibility in research biobanks [Dataset]. http://doi.org/10.5281/zenodo.17098
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jan 24, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Marco Capocasa; Paolo Anagnostou; Flavio D'Abramo; Giulia Matteucci; Valentina Dominici; Giovanni Destro Bisol; Fabrizio Rufo; Marco Capocasa; Paolo Anagnostou; Flavio D'Abramo; Giulia Matteucci; Valentina Dominici; Giovanni Destro Bisol; Fabrizio Rufo
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This dataset contains answers at a questionnaire relative to modes of sample and data accessibility in research Biobanks

  4. c

    Indexes to A.B. Emden's Biographical Registers of the University of...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    • +1more
    Updated Nov 28, 2024
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    Aston, T. H., University of Oxford (2024). Indexes to A.B. Emden's Biographical Registers of the University of Cambridge to 1500 [Dataset]. http://doi.org/10.5255/UKDA-SN-3788-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    History of the University of Oxford
    Authors
    Aston, T. H., University of Oxford
    Time period covered
    Jan 1, 1940 - Jan 1, 1977
    Area covered
    England
    Variables measured
    Individuals, Subnational, Graduates, Men, Students
    Measurement technique
    Compilation or synthesis of existing material
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The purpose of the project was to make accessible for historical analysis the biographical information contained in Emden's Biographical Registers of the Universities of Oxford to 1540 and Cambridge to 1500. It was not intended to eliminate the need to consult the printed volumes, but rather to facilitate access to the different categories of material contained in them. For example, one could extract the names of those meeting certain predetermined criteria such as members of Merton College between 1320 and 1339 (dates were encoded as belonging to 20 year 'generations') who were authors. For fuller details the printed volumes would have to be consulted.
    Main Topics:
    The datasets consist of a series of indexes to the entries in Emden's Biographical Registers of the Universities of Oxford to 1540 and Cambridge to 1500, arranged by various categories of biographical information. The categories include: membership of faculties, colleges and religious orders; place of origin; ownership, authorship and donations of books; tenure of legal and official posts; and association with royal, noble and episcopal households.

  5. Soela Voyage SO 5/83 Biological Data Overview

    • data.wu.ac.at
    • researchdata.edu.au
    html, pdf, wms
    Updated Jun 24, 2017
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    CSIRO Oceans and Atmosphere - Information and Data Centre (2017). Soela Voyage SO 5/83 Biological Data Overview [Dataset]. https://data.wu.ac.at/schema/data_gov_au/NWZjNDJmM2YtMjNmNi00NGQzLWJmMzItOTQ4ZjI2ZjRlODBm
    Explore at:
    pdf, wms, htmlAvailable download formats
    Dataset updated
    Jun 24, 2017
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Area covered
    282b11dcce6755c6c8ffe6ecdacd95af50995996
    Description

    This record is an overview entry for biological data collected on Soela cruise SO 5/83. This cruise took place in the North West Shelf during 7 October - 17 November 1983, under the leadership of Tim Davis and D. Tranter. Biological data collected on this cruise include composition data of demersal fish community and selected fish specimens for growth, reproduction, and mortality studies. Biological material from 39 species of fish. 84 sharks from longlining and 71 sharks from in the trawls. Zooplankton abundance data and larval fish samples. Ichthyoplankton and juvenile fish specimens for otolithic ageing. 56 samples of benthic fauna. Information on the effect of bridles and trawl speed on the catch. Stomach samples from 19 fish species and from Metaepeneopsis for fatty acid analysis (CSIRO Division of Food Research). Data on fish spoilage trials.(derived from the cruise report) - Biological data is available via Data Trawler. - Biological Field Data Sheets recorded during this voyage have been scanned to PDF, and are available on-line at http://www.marine.csiro.au/datacentre/process/data_files/BioData/log_sheet_scans/BOX_AB2009_661/BOX_AB2009_661_index.htm

  6. d

    Soela Voyage SO 6/82 Biological Data Overview

    • data.gov.au
    • researchdata.edu.au
    • +1more
    csiro open app, html +1
    Updated Apr 6, 2015
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    CSIRO Oceans & Atmosphere - Hobart (2015). Soela Voyage SO 6/82 Biological Data Overview [Dataset]. https://data.gov.au/dataset/ds-marlin-209bfafa-1f27-4d27-ae29-06822a92e1b3?q=
    Explore at:
    html, csiro open app, wmsAvailable download formats
    Dataset updated
    Apr 6, 2015
    Dataset provided by
    CSIRO Oceans & Atmosphere - Hobart
    Description

    This record is an overview entry for biological data collected on Soela cruise SO 6/82. This cruise took place in the North West Shelf during 15 November - 16 December 1982, under the leadership of …Show full descriptionThis record is an overview entry for biological data collected on Soela cruise SO 6/82. This cruise took place in the North West Shelf during 15 November - 16 December 1982, under the leadership of Tim Davis and A. Heron. Biological data collected on this cruise include demersal fish and shark samples. Lutjanus vitta samples to investigate lunar periodicity in spawning activity. Stomach samples of Nemipterus peronii, Saurida undosquamis, Abalistes stellaris, Parapeneus pleurospilus, Nemipterus tambuloides and Lethrinus choerorhynchus from diel feeding experiment and 4812 stomach samples from 52 trawls. Zooplankton abundance data, larval fish and benthic samples. Phytoplankton, bacteria and zooplankton productivity data. Storage trial data on Epinephalus areolatus and Glaucosoma burgeri for the food technology studies. Trial data on healthy fish tagging. EK 400 acoustic data at four stations for John Penrose, W.A.I.T.(derived from the cruise report) - Biological data is available via Data Trawler. - Biological Field Data Sheets recorded during this voyage have been scanned to PDF, and are available on-line at http://www.marine.csiro.au/datacentre/process/data_files/BioData/log_sheet_scans/BOX_AB2009_549/BOX_AB2009_549_index.htm and http://www.marine.csiro.au/datacentre/process/data_files/BioData/log_sheet_scans/BOX_AB2009_550/BOX_AB2009_550_index.htm

  7. c

    National Child Development Study: Social Participation and Identity,...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 28, 2024
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    Elliott, J., University of London, Institute of Education; Savage, M., University of Sussex; Miles, A., University of Manchester; Parsons, S., University of London, Institute of Education (2024). National Child Development Study: Social Participation and Identity, 2007-2010 [Dataset]. http://doi.org/10.5255/UKDA-SN-6691-3
    Explore at:
    Dataset updated
    Nov 28, 2024
    Dataset provided by
    School of Social Sciences
    Centre for Longitudinal Studies
    ESRC Centre for Research on Socio-Cultural Change
    Authors
    Elliott, J., University of London, Institute of Education; Savage, M., University of Sussex; Miles, A., University of Manchester; Parsons, S., University of London, Institute of Education
    Time period covered
    Jan 1, 2007 - Jan 1, 2010
    Area covered
    Wales, Scotland, England
    Variables measured
    Individuals, Subnational
    Measurement technique
    Face-to-face interview
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The National Child Development Study (NCDS) is a continuing longitudinal study that seeks to follow the lives of all those living in Great Britain who were born in one particular week in 1958. The aim of the study is to improve understanding of the factors affecting human development over the whole lifespan.

    The NCDS has its origins in the Perinatal Mortality Survey (PMS) (the original PMS study is held at the UK Data Archive under SN 2137). This study was sponsored by the National Birthday Trust Fund and designed to examine the social and obstetric factors associated with stillbirth and death in early infancy among the 17,000 children born in England, Scotland and Wales in that one week. Selected data from the PMS form NCDS sweep 0, held alongside NCDS sweeps 1-3, under SN 5565.

    Survey and Biomeasures Data (GN 33004):
    To date there have been nine attempts to trace all members of the birth cohort in order to monitor their physical, educational and social development. The first three sweeps were carried out by the National Children's Bureau, in 1965, when respondents were aged 7, in 1969, aged 11, and in 1974, aged 16 (these sweeps form NCDS1-3, held together with NCDS0 under SN 5565). The fourth sweep, also carried out by the National Children's Bureau, was conducted in 1981, when respondents were aged 23 (held under SN 5566). In 1985 the NCDS moved to the Social Statistics Research Unit (SSRU) - now known as the Centre for Longitudinal Studies (CLS). The fifth sweep was carried out in 1991, when respondents were aged 33 (held under SN 5567). For the sixth sweep, conducted in 1999-2000, when respondents were aged 42 (NCDS6, held under SN 5578), fieldwork was combined with the 1999-2000 wave of the 1970 Birth Cohort Study (BCS70), which was also conducted by CLS (and held under GN 33229). The seventh sweep was conducted in 2004-2005 when the respondents were aged 46 (held under SN 5579), the eighth sweep was conducted in 2008-2009 when respondents were aged 50 (held under SN 6137) and the ninth sweep was conducted in 2013 when respondents were aged 55 (held under SN 7669).

    Four separate datasets covering responses to NCDS over all sweeps are available. National Child Development Deaths Dataset: Special Licence Access (SN 7717) covers deaths; National Child Development Study Response and Outcomes Dataset (SN 5560) covers all other responses and outcomes; National Child Development Study: Partnership Histories (SN 6940) includes data on live-in relationships; and National Child Development Study: Activity Histories (SN 6942) covers work and non-work activities. Users are advised to order these studies alongside the other waves of NCDS.

    From 2002-2004, a Biomedical Survey was completed and is available under End User Licence (EUL) (SN 8731) and Special Licence (SL) (SN 5594). Proteomics analyses of blood samples are available under SL SN 9254.

    Linked Geographical Data (GN 33497):
    A number of geographical variables are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies.

    Linked Administrative Data (GN 33396):
    A number of linked administrative datasets are available, under more restrictive access conditions, which can be linked to the NCDS EUL and SL access studies. These include a Deaths dataset (SN 7717) available under SL and the Linked Health Administrative Datasets (SN 8697) available under Secure Access.

    Additional Sub-Studies (GN 33562):
    In addition to the main NCDS sweeps, further studies have also been conducted on a range of subjects such as parent migration, unemployment, behavioural studies and respondent essays. The full list of NCDS studies available from the UK Data Service can be found on the NCDS series access data webpage.

    How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:
    For information on how to access biomedical data from NCDS that are not held at the UKDS, see the CLS Genetic data and biological samples webpage.

    Further information about the full NCDS series can be found on the Centre for Longitudinal Studies website.


    The Social Participation and Identity project combined quantitative longitudinal data with a qualitative investigation of a sub-sample of the NCDS cohort when they were aged 50, presented here as a mixed-methods data collection containing both qualitative and quantitative data. This was the first attempt to interview members of a national, longitudinal cohort study in depth, with the possibility of linking such biographical narratives to structured survey data collected throughout the life course. Interviews were conducted with a sub-sample of 220 NCDS cohort members resident in Great Britain (England, Scotland and Wales). The...

  8. Education Sector uses of open data

    • data.wu.ac.at
    csv, json, xml
    Updated Mar 6, 2015
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    World Bank Group (2015). Education Sector uses of open data [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/Z3Jjei15bWYy
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    csv, json, xmlAvailable download formats
    Dataset updated
    Mar 6, 2015
    Dataset provided by
    World Bankhttp://worldbank.org/
    World Bank Grouphttp://www.worldbank.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    ​The World Bank Group and Inter-American Development Bank are conducting a study on open data and collecting examples of its use. You can submit your use here: https://bit.ly/OpenDataOps.

    This dataset will be updated periodically, as additional cases are submitted.

  9. Open Data Use Cases & Solutions - Survey Responses

    • data.wu.ac.at
    csv, json, xml
    Updated Sep 8, 2016
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    World Bank Group (2016). Open Data Use Cases & Solutions - Survey Responses [Dataset]. https://data.wu.ac.at/schema/finances_worldbank_org/aGliaC16NGF4
    Explore at:
    xml, json, csvAvailable download formats
    Dataset updated
    Sep 8, 2016
    Dataset provided by
    World Bankhttp://worldbank.org/
    World Bank Grouphttp://www.worldbank.org/
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Description

    ​The World Bank Group and Inter-American Development Bank conducted a study on open data and collecting examples of its use.

  10. c

    Indexes to A.B. Emden's Biographical Registers of the University of Oxford...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 28, 2024
    + more versions
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    Aston, T. H., University of Oxford (2024). Indexes to A.B. Emden's Biographical Registers of the University of Oxford to 1540 [Dataset]. http://doi.org/10.5255/UKDA-SN-3787-1
    Explore at:
    Dataset updated
    Nov 28, 2024
    Dataset provided by
    History of the University of Oxford
    Authors
    Aston, T. H., University of Oxford
    Time period covered
    Jan 1, 1940 - Jan 1, 1977
    Area covered
    Oxford, England
    Variables measured
    Individuals, Subnational, Graduates, Men, Students
    Measurement technique
    Compilation or synthesis of existing material
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The purpose of the project was to make accessible for historical analysis the biographical information contained in Emden's Biographical Registers of the Universities of Oxford to 1540 and Cambridge to 1500. It was not intended to eliminate the need to consult the printed volumes, but rather to facilitate access to the different categories of material contained in them. For example, one could extract the names of those meeting certain predetermined criteria such as members of Merton College between 1320 and 1339 (dates were encoded as belonging to 20 year 'generations') who were authors. For fuller details the printed volumes would have to be consulted.
    Main Topics:
    The datasets consist of a series of indexes to the entries in Emden's Biographical Registers of the Universities of Oxford to 1540 and Cambridge to 1500, arranged by various categories of biographical information. The categories include: membership of faculties, colleges and religious orders; place of origin; ownership, authorship and donations of books; tenure of legal and official posts; and association with royal, noble and episcopal households.

  11. WARLUX nodegoat database, on recruits of Schifflange/Luxembourg, Luxembourg...

    • zenodo.org
    • data.niaid.nih.gov
    bin, csv, png
    Updated Jul 11, 2024
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    Nina Janz; Nina Janz; Sarah Maya Vercruysse; Sarah Maya Vercruysse (2024). WARLUX nodegoat database, on recruits of Schifflange/Luxembourg, Luxembourg Centre for Contemporary and Digital History/University of Luxembourg [Dataset]. http://doi.org/10.5281/zenodo.8138202
    Explore at:
    png, bin, csvAvailable download formats
    Dataset updated
    Jul 11, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Nina Janz; Nina Janz; Sarah Maya Vercruysse; Sarah Maya Vercruysse
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Schifflange, Luxembourg
    Description

    Project WARLUX - Soldiers and their communities in WWII: The impact and legacy of war experiences in Luxembourg is a research project based at the Luxembourg Centre for Contemporary and Digital History (C²DH) (University of Luxembourg). The projects focuses on the war experiences of male Luxembourgers born between 1920 and 1927 who were recruited and conscripted into Nazi German services (Reichsarbeitsdienst (RAD) and Wehrmacht) under the Nazi occupation in Luxembourg during the Second World War.

    Data Sample

    While over 12,000 men and women were affected by the conscription, Project WARLUX focuses on a case study of 304 recruits from Schifflange and their families. In total, the data sample includes around 1200 persons, recruits and their family members.

    Origin of the data

    The dataset primarily consists of compiled archival documentation, including organizational and official documents, statistics, and standardized fiches and cards. These sources are primarily sourced from the Luxembourgish National Archives and other relevant repositories.

    In addition to basic information such as name, birth date, and residence, the (internal) dataset also incorporates military records sourced from German archives. Furthermore, supplementary information related to captivity, repatriation, and compensation was collected in the post-war period. The surveys and statistics conducted by the Luxembourgish state provide valuable insights into the experiences and trajectories of the war-affected generation.

    It is important to note that the dataset is a composite of multiple heterogeneous sources, reflecting its diverse origins.

    Database

    The researchers involved in the WARLUX project opted for the utilization of a relational database, nodegoat.

    The WARLUX project adheres to an object-oriented approach, which is reflected in the core functionalities provided by nodegoat. Given the project's specific focus on the war experiences of recruited Luxembourgers within Nazi services such as the Wehrmacht and RAD, the included data model (warlux data model file) represents only a partial depiction of the comprehensive nodegoat environment employed in the WARLUX project. Within this data model, the interconnected objects and their respective sub-objects are presented, with particular emphasis placed on the individual profiles of recruits and their involvement in military service.

    As the data can not be published due to restriction, the team provides a pseudonymized dataset as an example of the data structure.

    The provided dataset shows the male recruits (and conscripts) of the Case Study Schifflange (born between 1920 and 1927). It includes

    • nodegoat ID
    • their birthdate
    • information on death if it occurred during the war
    • whereabout after the war (unknown, missing, KIA, returned etc.)

    The dataset also includes references to their recruitment into

    • the Wehrmacht and/or the RAD as well as their subsequent activities such as
    • being captured as a Prisoner of War (POW)
    • serving for the Allied Forces
    • desertion, or
    • draft evasion (réfractaire).

    The access to the WARLUX nodegoat database, on recruits of Schifflange/Luxembourg is restricted due to sensitive data. For further questions please contact warlux@uni.lu

    The project is funded by the Fond National de la Recherche Luxembourg (FNR).

  12. Quarterly Labour Force Survey 2024 - South Africa

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Aug 20, 2024
    + more versions
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    Statistics South Africa (2024). Quarterly Labour Force Survey 2024 - South Africa [Dataset]. https://microdata.worldbank.org/index.php/catalog/6287
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    Dataset updated
    Aug 20, 2024
    Dataset authored and provided by
    Statistics South Africahttp://www.statssa.gov.za/
    Time period covered
    2024
    Area covered
    South Africa
    Description

    Abstract

    The Quarterly Labour Force Survey (QLFS) is a household-based sample survey conducted by Statistics South Africa (Stats SA). It collects data on the labour market activities of individuals aged 15 years or older who live in South Africa.

    Geographic coverage

    National coverage

    Analysis unit

    Individuals

    Universe

    The QLFS sample covers the non-institutional population of South Africa with one exception. The only institutional subpopulation included in the QLFS sample are individuals in worker's hostels. Persons living in private dwelling units within institutions are also enumerated. For example, within a school compound, one would enumerate the schoolmaster's house and teachers' accommodation because these are private dwellings. Students living in a dormitory on the school compound would, however, be excluded.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The QLFS uses a master sampling frame that is used by several household surveys conducted by Statistics South Africa. This wave of the QLFS is based on the 2013 master frame, which was created based on the 2011 census. There are 3324 PSUs in the master frame and roughly 33000 dwelling units.

    The sample for the QLFS is based on a stratified two-stage design with probability proportional to size (PPS) sampling of PSUs in the first stage, and sampling of dwelling units (DUs) with systematic sampling in the second stage.

    For each quarter of the QLFS, a quarter of the sampled dwellings are rotated out of the sample. These dwellings are replaced by new dwellings from the same PSU or the next PSU on the list. For more information see the statistical release.

    Mode of data collection

    Face-to-Face and Computer Assisted Personal and Telephone Interview

    Research instrument

    The survey questionnaire consists of the following sections: - Biographical information (marital status, education, etc.) - Economic activities for persons aged 15 years and older

  13. Bio-detection Market Analysis North America, Europe, Asia, Rest of World...

    • technavio.com
    Updated Jun 15, 2024
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    Technavio (2024). Bio-detection Market Analysis North America, Europe, Asia, Rest of World (ROW) - US, China, Germany, Canada, UK - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/bio-detection-market-analysis
    Explore at:
    Dataset updated
    Jun 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United States, United Kingdom, Germany, Global
    Description

    Snapshot img

    Bio-detection Market Size 2024-2028

    The bio-detection market is estimated to grow by USD 16.85 billion, at a CAGR of 15.2% between 2023 and 2028. The market's expansion is driven by several significant factors. Primarily, the increasing prevalence of infectious diseases and cancer necessitates swift identification and treatment. In response, there is a growing emphasis on medical diagnostics. This trend is further fueled by the urgency to detect and manage illnesses as early as possible. Moreover, strategic alliances between healthcare entities and research institutions are playing a crucial role in driving innovation. These collaborations facilitate the development of advanced diagnostic technologies, such as autoimmune disease diagnostics and companion diagnostics. These technologies are not only propelling market growth but also broadening the accessibility of diagnostic solutions. Governmental support and funding initiatives are also bolstering these efforts. With healthcare priorities shifting towards early disease detection and effective management, these dynamics are underscoring the market's trajectory towards continuous advancement. The diagnostic industry is poised for significant growth, as these trends continue to shape the healthcare landscape.

    What will be the Size of the Bio-detection Market During the Forecast Period?

    To learn more about this bio-detection market report, Download Report Sample

    Bio-detection Market Segmentation

    The bio-detection market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD Billion' for the period 2024 to 2028, as well as historical data from 2018 to 2022 for the following segments.

    Application Outlook 
    
      Clinical
      Food and environmental
      Defense 
    
    
    
    
    
    Product Outlook 
    
      Instruments
      Accessories and consumables
      Reagents and media
    
    
    
    
    
    Region Outlook 
    
      North America
    
        The U.S.
        Canada
    
    
      Europe
    
        U.K.
        Germany
        France
        Rest of Europe
    
    
      Asia
    
        China
        India
        Vietnam
        Others
    
    
      Rest of World
    
        Saudi Arabia
        South Africa
        Brazil
        Others
    

    By Application

    The market share growth by the clinical segment will be significant during the forecast period. The clinical segment was a leading segment in the global market owing to increasing demand from critically ill patients after the pandemic and the increasing geriatric population across the world. The bio-detection market is expanding with innovations in real-time detection technologies, including portable bio-detection devices and integrated bio-detection systems. Wearable bio-detection sensors for healthcare are gaining prominence, offering continuous disease monitoring. AI and machine learning are enhancing bio-detection accuracy, particularly in point-of-care (POC) bio-detection. Biosensors and wearables are also crucial for disease monitoring and food safety, ensuring effective bio-threat detection in diverse sectors.

    Get a glance at the market contribution of various segments. Request PDF Sample

    The clinical segment was valued at USD 4.74 billion in 2018. There are increasing cases of infectious diseases such as influenza and measles in developed and developing countries across the world, which, in turn, increases the demand for bio-detection in clinics. This will be the primary factor that will be responsible for driving the segment growth during the forecast period.

    Regional Analysis

    For more insights on the market share of various regions, Request PDF Sample now!

    North America is estimated to contribute 41% to the growth of the global bio-detection market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period. North America was the largest revenue contributor to the global market in 2023, with the US being the leading country. The growing focus on drug and vaccine discovery and development, recent advances in biotechnology and pharmaceutical research, and the presence of several companies in the country offering a wide range of bio-detection products are aiding the growth of the market.

    In addition, the market in North America is led by the US and Canada owing to the increase in focus on drug discovery and development by several pharmaceutical companies, such as Novartis and Pfizer. R&D for drug development and diagnosis of diseases requires bio-detection products. The drug discovery market is expected to grow owing to the emergence of new fatal diseases, the high prevalence of infectious diseases such as respiratory infections and sexually transmitted diseases, and the increased demand for personalized medicines. Therefore, the increase in emphasis on the production of drugs has played a major role in the adoption of bio-detection in the region, which in turn, will boost the regional m

  14. Data from: Deep-sea bio-physical variables as surrogates for biological...

    • data.gov.au
    html
    Updated Jan 1, 2010
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    Commonwealth of Australia (Geoscience Australia) (2010). Deep-sea bio-physical variables as surrogates for biological assemblages, an example from the Lord Howe Rise [Dataset]. https://data.gov.au/dataset/ds-ga-a05f7892-f876-7506-e044-00144fdd4fa6
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    htmlAvailable download formats
    Dataset updated
    Jan 1, 2010
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Deep sea environments occupy much of the sea floor, yet little is known about diversity patterns of biological assemblages from these environments. Physical mapping technologies and their …Show full descriptionDeep sea environments occupy much of the sea floor, yet little is known about diversity patterns of biological assemblages from these environments. Physical mapping technologies and their availability are increasing rapidly. Sampling deep-sea biota over vast areas of the deep sea, however, is time consuming, difficult, and costly. Consequently, the growing need to manage and conserve marine resources, particularly deep sea areas that are sensitive to anthropogenic disturbance and change, is leading the promotion of physical data as surrogates to predict biological assemblages. However, few studies have directly examined the predictive ability of these surrogates. The physical environment and biological assemblages were surveyed for two adjacent areas - the western flank of Lord Howe Rise (LHR) and the Gifford Guyot - spanning combined water depths of 250 to 2,200 m depth on the northern part of the LHR, in the southern Pacific Ocean. Multibeam acoustic surveys were used to generate large-scale geomorphic classification maps that were superimposed over the study area. Forty two towed-video stations were deployed across the area capturing 32 hours of seabed video, 6,229 still photographs, that generated 3,413 seabed characterisations of physical and biological variables. In addition, sediment and biological samples were collected from 36 stations across the area. The northern Lord Howe Rise was characterised by diverse but sparsely distributed faunas for both the vast soft-sediment environments as well as the discrete rock outcrops. Substratum type and depth were the main variables correlated with benthic assemblage composition. Soft-sediments were characterised by low to moderate levels of bioturbation, while rocky outcrops supported diverse but sparse assemblages of suspension feeding invertebrates, such as cold water corals and sponges which in turn supported epifauna, dominated by ophiuroids and crinoids. While deep environments of the LHR flank .

  15. Global Bio Acrylic Acid Market Size By Derivatives (Methyl Acrylate, Ethyl...

    • verifiedmarketresearch.com
    Updated Jun 21, 2023
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    VERIFIED MARKET RESEARCH (2023). Global Bio Acrylic Acid Market Size By Derivatives (Methyl Acrylate, Ethyl Acrylate, Butyl Acrylate, Elastomers, 2-Ethylhexy Acrylate), By Application (Paints & Coatings, Surfactants, Adhesives & Sealants, Textiles, Sanitary Products), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/bio-acrylic-acid-market/
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    Dataset updated
    Jun 21, 2023
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Bio Acrylic Acid Market size is valued at USD 550.17 Million in the year 2024 and it is expected to reach USD 1568.04 Million in 2031, growing at a CAGR of 15.43% from 2024 to 2031.

    Global Bio Acrylic Acid Market Drivers

    Environmental Concerns and Regulatory Pressures: The demand for bio-based alternatives is being driven by the combination of strict regulations on products based on petrochemicals and growing awareness of environmental issues. Compared to its equivalent based on fossil fuels, bioacryl acid provides a more sustainable alternative because it is produced from renewable resources like biomass and waste streams. The usage of bio-based chemicals is encouraged by laws and regulations, which further quicken industry expansion.

    Transition to Sustainable Practices: Sustainability is becoming a fundamental concept in industries all over the world. This change is supported by bioacryl acid, which provides a renewable and environmentally acceptable substitute for a range of uses. The market for bio acrylic acid is being driven by pressure from investors, consumers, and regulatory bodies for businesses to adopt greener alternatives and lessen their carbon footprint.

    Expanding Requirement in End-Use Sectors: Bioacryl acid is used in many different sectors, such as textiles, superabsorbent polymers, adhesives, and coatings. The need for raw materials derived from biotechnology is growing along with these sectors. For example, bio acrylic acid is favored in the adhesives and sealants sector due to its higher performance and sustainability features, which propel its acceptance.

    Regulatory Pressures and Environmental Issues: The need for bio-based substitutes is being driven by strict controls on products based on petrochemicals and growing environmental awareness. Compared to its equivalent based on fossil fuels, acryl acid provides a more sustainable alternative because it is produced from renewable resources like biomass and waste streams. The usage of bio-based chemicals is encouraged by laws and regulations, which further quicken industry expansion.

    Transition to Sustainable Practices: Sustainability is becoming a fundamental concept in industries all over the world. This change is supported by bioacryl acid, which provides a renewable and environmentally acceptable substitute for a range of uses. The market for bio acrylic acid is being driven by pressure from investors, consumers, and regulatory bodies for businesses to adopt greener alternatives and lessen their carbon fo

    Expanding Requirement in End-Use Sectors: Bioacryl acid is used in many different sectors, such as textiles, superabsorbent polymers, adhesives, and coatings. The need for raw materials derived from biotechnology is growing along with these sectors. For example, bio acrylic acid is favored in the adhesives and sealants sector due to its higher performance and sustainability features, which propel its acceptance.

  16. d

    Regulation of biographical transitions in second generation immigrants in...

    • da-ra.de
    Updated Jun 26, 2013
    + more versions
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    Yoav Lavee; Bernhard Nauck; Avi Sagi-Schwartz; Rainer K. Silbereisen; Anja Steinbach; Peter F. Titzmann (2013). Regulation of biographical transitions in second generation immigrants in Germany and Israel [Dataset]. http://doi.org/10.4232/1.11700
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    Dataset updated
    Jun 26, 2013
    Dataset provided by
    GESIS Data Archive
    da|ra
    Authors
    Yoav Lavee; Bernhard Nauck; Avi Sagi-Schwartz; Rainer K. Silbereisen; Anja Steinbach; Peter F. Titzmann
    Time period covered
    Oct 2007 - Jul 2008
    Area covered
    Israel, Germany
    Description

    The study "Regulation of Biographical Transitions among Second-Generation Migrants in Germany and Israel," commissioned by the German Federal Ministry of Education and Research, investigates the question of which factors promote the positive development of children, adolescents, and young adults. For this purpose, biographical transitions during the first three decades of life among natives, members of minorities, and people with a migration background in Germany and Israel were examined from a longitudinal perspective. In particular, the focus was on the following four biographical transitions: Entry into kindergarten and school enrollment in childhood, first partnerships in adolescence, and living together as a couple in young adulthood. In Germany, native Germans, ethnic German repatriates, Jewish immigrants from the former Soviet Union, and Turkish migrants were interviewed using standardized personal interviews. In Israel, native Israelis, persons belonging to the Arab minority, and Russian Jewish immigrants were the target group of the survey. In Germany, a random sample was drawn based on register data from Frankfurt and Stuttgart for all survey groups. Since Russian-Jewish immigrants were not identifiable based on the register data, they were recruited through snowball sampling. In Israel, a multistage random sample was formed based on statistical areas followed by telephone screening.

  17. Bio-Based Fibre Market Analysis APAC, Europe, North America, Middle East and...

    • technavio.com
    Updated Sep 27, 2024
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    Technavio (2024). Bio-Based Fibre Market Analysis APAC, Europe, North America, Middle East and Africa, South America - China, India, US, Germany, Japan, Brazil, France, Italy, UK, South Korea - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/bio-based-fibre-market-industry-analysis
    Explore at:
    Dataset updated
    Sep 27, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States, United Kingdom
    Description

    Snapshot img

    Bio-Based Fibre Market Size 2024-2028

    The bio-based fibre market size is forecast to increase by USD 18.6 billion at a CAGR of 7.7% between 2023 and 2028.

    The bio-based fibers market is experiencing significant growth due to various factors. One key trend is the increasing utilization of diverse feedstocks for the production of bio-based fibers. This diversification allows for greater flexibility in supply and reduces reliance on a single source. Another trend is the growing preference for eco-friendly textiles, as consumers become more conscious of the environmental impact of their clothing choices. Regulatory pressures and environmental concerns are driving the adoption of bio-based fibers in various industries, such as bioplastics, natural fiber composites, and bio-based chemicals. However, the market is also facing challenges, such as the variability in costs of raw materials for bio-based fibers. Producers must navigate these fluctuations to remain competitive and meet consumer demand for sustainable and affordable textiles. Overall, the market for bio-based fibers is expected to continue growing, driven by these trends and the increasing demand for sustainable textile solutions.
    

    What will be the Size of the Bio-Based Fibre Market During the Forecast Period?

    Request Free Sample

    The market encompasses a range of plant-derived fibres, including Nien Foun fiber and industrial plant fibres like jute, hemp, and flax. This sector is gaining traction in textiles and apparel due to increasing consumer demand for eco-friendly alternatives to synthetic fibres. Sustainable construction materials, green packaging solutions, and eco-friendly textiles are other significant applications.
    Moreover, bio-based fibres are also used In the production of biodegradable films, compostable containers, insulation materials, bio-based concrete, and recycled fibers. Biorefinery processes, synthetic biology, and microbial sources are key areas of innovation, leading to the development of bio-based polymers like PLA (polylactic acid), Bio-PET, PHA (polyhydroxyalkanoates), cellulose-based materials, and other plant-based and waste-derived materials.
    

    How is this Bio-Based Fibre Industry segmented and which is the largest segment?

    The bio-based fibre industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Application
    
      Textiles and apparel
      Home furnishings
      Automotive
      Others
    
    
    Type
    
      Synthetic fibers
      Natural fibers
    
    
    Geography
    
      APAC
    
        China
        India
    
    
      Europe
    
        Germany
    
    
      North America
    
        US
    
    
      Middle East and Africa
    
    
    
      South America
    

    By Application Insights

    The textiles and apparel segment is estimated to witness significant growth during the forecast period.
    

    The market is experiencing notable growth In the textiles and apparel industry due to the increasing demand for eco-friendly alternatives to synthetic fibres. Mycelium composites, derived from the mycelium of mushrooms, are gaining attention as a potential sustainable solution. Mycelium, the web-like root structure of fungi, exhibits properties suitable for textile production. Compared to synthetic fibres, which are derived from non-renewable resources and contribute to environmental pollution, mycelium-based textiles offer environmental benefits. Other bio-based fibres, such as hemp, green steel, bio-based packaging, sustainable textiles, mycelium leather, and algae-based textiles, are also being explored for their sustainability advantages. These developments are crucial for reducing the carbon footprint of the textiles industry and promoting sustainable practices.

    Get a glance at the Bio-Based Fibre Industry report of share of various segments Request Free Sample

    The textiles and apparel segment was valued at USD 20.35 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    APAC is estimated to contribute 46% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    For more insights on the market share of various regions, Request Free Sample

    The Asia Pacific region is leading the market's growth, driven by the textile industry's increasing adoption of biosynthetics. These fibres, derived from renewable resources like agricultural waste, food crops, and plants, provide a sustainable alternative to fossil-based fibres. The shift towards biosynthetics is gaining traction due to its potential to decrease reliance on non-renewable resources and mitigate climate change. The primary difference between biosynthetic fibres and traditional synthetic fibres lies In their raw materials.

    M

  18. Soela Voyage SO 4/82 Biological Data Overview

    • data.wu.ac.at
    • researchdata.edu.au
    • +1more
    html, pdf, wms
    Updated Jun 24, 2017
    + more versions
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    CSIRO Oceans and Atmosphere - Information and Data Centre (2017). Soela Voyage SO 4/82 Biological Data Overview [Dataset]. https://data.wu.ac.at/schema/data_gov_au/NDczM2JlODctMjViNi00NTk4LWI0NjUtZDczZTliZWE4OTAx
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    pdf, html, wmsAvailable download formats
    Dataset updated
    Jun 24, 2017
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Area covered
    70397b058cffc09dd12095fa7653a97d6734db97
    Description

    This record is an overview entry for biological data collected on Soela cruise SO 4/82. This cruise took place in the North West Shelf during 25 July - 23 August 1982, under the leadership of Keith Sainsbury and G. West. Biological data collected on this cruise include lobsters and prawns from prawn trawls, and fish from trawls. Samples for ageing, reproduction and gut analysis were obtained from 8 lutjanid and 4 carangid species. Approximately 80 shark samples, 200 Lethrinus nematocanthus and 100 Scolopsis regina were obtained, and squid samples when caught. Benthic invertebrate samples for the Western Australian Museum and dredge samples to augment existing data.(derived from the cruise report) - Biological data is available via Data Trawler. - Biological Field Data Sheets recorded during this voyage have been scanned to PDF, and are available on-line at http://www.marine.csiro.au/datacentre/process/data_files/BioData/log_sheet_scans/BOX_AB2009_537/BOX_AB2009_537_index.htm

  19. m

    Data for: Identification of living and dead microalgae cells with digital...

    • data.mendeley.com
    Updated Dec 21, 2020
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    Data for: Identification of living and dead microalgae cells with digital holography and verified in the East China Sea [Dataset]. https://data.mendeley.com/datasets/4d7dk9czxw/1
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    Dataset updated
    Dec 21, 2020
    Authors
    Peng Ju
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China, East China Sea
    Description

    The hologram information measured was from the sample of Prorocentrum lima. The sample size was 500 living cells and 500 dead cells.

  20. Guidance Note for Producing and Disseminating Gender Factbooks (English)

    • genderopendata.org
    pdf
    Updated Sep 14, 2024
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    The World Bank (2024). Guidance Note for Producing and Disseminating Gender Factbooks (English) [Dataset]. https://genderopendata.org/dataset/guidance-note-for-producing-and-disseminating-gender-factbooks-english
    Explore at:
    pdf(1205078)Available download formats
    Dataset updated
    Sep 14, 2024
    Dataset provided by
    World Bankhttp://worldbank.org/
    Authors
    The World Bank
    Description

    This guidance note provides recommendations for developing gender factbooks as a channel to effectively communicate gender statistics, which serves as a critical input to designing and monitoring policies to improve development opportunities for all. A gender factbook is a comprehensive publication that disseminates gender statistics through visuals and tables accompanied by relevant analysis and legal or policy frameworks that give context to the data presented. This guidance note is intended to support national statistics offices in their efforts to improve existing gender factbooks or to assist a country in developing its first gender factbook. Section 2 outlines the motivation for reporting on gender data and creating a gender factbook. Section 3 provides guidance on producing and disseminating a gender factbook, leveraging best-practice examples from a comprehensive review of existing gender factbooks and publications that focus on improving the communication and dissemination of gender statistics. Section 4 concludes, and the appendixes provide valuable sources, samples, and templates.

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Schmidhauser, John R. (2021). United States Supreme Court Justices Biographical Data, 1789-1958 - Version 1 [Dataset]. http://doi.org/10.3886/ICPSR07240.v1

United States Supreme Court Justices Biographical Data, 1789-1958 - Version 1

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Dataset updated
Feb 15, 2021
Dataset provided by
ICPSR - Interuniversity Consortium for Political and Social Research
GESIS search
Authors
Schmidhauser, John R.
License

https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de441284https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de441284

Description

Abstract (en): This study contains biographical data on the 92 Supreme Court justices appointed between 1789 and 1958. Potter C. Stewart, appointed in 1958, was the last justice to be included in the study. The study recorded personal data such as place of birth, education, political as well as nonpolitical occupation, legal and judicial experience, age at the time of Supreme Court appointment, ethnic background, and religious affiliation. Other background information on each justice includes party identification, reputation as a frequent dissenter, and the state from which he was appointed. Various aspects of family background such as social and economic status, paternal occupation, and familial traditions of judicial service were also explored. 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: Standardized missing values.; Checked for undocumented or out-of-range codes.. United States Supreme Court justices appointed between 1789 and 1958. The sample in this study consists of the entire population.

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