100+ datasets found
  1. e

    Popis prebivalstva, gospodinjstev in stanovanj v RS v letu 2002 - Dataset -...

    • b2find.eudat.eu
    Updated Sep 2, 2024
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    (2024). Popis prebivalstva, gospodinjstev in stanovanj v RS v letu 2002 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/4e3b150c-a0f6-5e37-9260-1a5f0aa3ee00
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    Dataset updated
    Sep 2, 2024
    Description

    Namen popisa v letu 2002 je bil zbrati osnovne podatke o prebivalstvu, gospodinjstvih in stanovanjih in stavbah tudi za najnižje teritorialne ravni in za primerjavo s prejšnjimi popisi. Podatki so pomembni za državne ustanove, raziskovalce in tudi širšo javnost pri ugotavljanju stanja in načrtovanju sprememb v družbi. Statistični urad Republike Slovenije je na spletni strani (gl. https://www.stat.si/popis2002/si/default.htm) in v svojih publikacijah objavil agregirane popisne podatke v obliki tabel. Vzorec mikropodatkov za javno uporabo : 5-odstotni vzorec posameznikov, stanovanj in stavb je namenjen predvsem za uporabo v raziskovanju in izobraževanju in omogoča poljubno pregledovanje povezanosti med spremenljivkami. Na voljo so tri podatkovne datoteke: osebe, stanovanja in stavbe. Datoteke so za splošno rabo preko ADP anonimizirane, dostop do celovitih podatkov je ob upoštevanju omejitev zaradi statistične zaupnosti mogoč samo na SURS. V datoteki oseb so zajete geografske značilnosti oseb, kot so regija prebivališča, kraj šolanja ali dela, pogostost in način dnevnih migracij, čas in država ali regija selitve, nato demografske značilnosti oseb, kot so število živorojenih otrok, spol in starost, zakonski stan, nato ekonomske značilnosti, kot so izobrazba, delovna aktivnost, panoga zaposlitve in poklic, ter stanovanjsko razmerje gospodinjstva in lastno pridelovanje hrane. Spremenljivki narodnost in veroizpoved sta izločeni iz datotek zaradi občutljivosti pri skrbi za zaupnost podatkov. Datoteka stanovanj zajema regijo, vrsto in lastništvo stanovanja, število oseb in gospodinjstev v stanovanju, lego, površino, število sob v stanovanju, opremljenost s pomožnimi prostori, priključki in napeljavami, način in vir ogrevanja. Datoteka stavb zajema spremenljivke vrste zgraditve, števila nadstropij in stanovanj, materiala konstrukcije in leta zgraditve. The purpose of Census 2002 is to collect data concerning inhabitants, families, households and dwellings for planning future necessities, decisions and trend on Slovenia's different territorial levels and different social groups (see https://www.stat.si/popis2002/si/default.htm). Public Use Microdata Sample : 5- Percent Sample of Individuals, Dwellings and Buildings is available for students and researchers primarily, who would like to explore more complex relations among variables. Data is anonymised for public use. Integral data is accessible under certain condition directly from SURS. Three data sets are available in this collection: individuals, dwellings and buildings. Data on region, daily and permanent migrations, education and work, family and household situation are available on persons level. Dwellings are described by region, ownership, physical properties, supply and communication installations, and source and installation of heating. Buildings are described by type, number of floors, dwellings, construction material used and year when constructed. Verjetnostno: stratificirano: proporcionalnoProbability.Stratified.Proportional Probability: Stratified: ProportionalProbability.Stratified.Proportional Osebni intervju: PAPIOsebno anketiranje na terenu z vprašalnikom na papirju. Samoizpolnjevana anketa. Za del popisnih vprašanj je bila dana možnost samopopisa. Podatki prevzeti iz administrativnih in statističnih registrov.Interview.FaceToFace.PAPI Face-to-face interview: Paper-and-pencil (PAPI)Personal interviews; classical enumeration, when all census questionnaires were filled in by especially qualified enumerators on the basis of answers provided by the respondent or by an adult member of the household for absent household members and children under 15. Self completed survey; self-enumeration, when answers to most questions on the P-2 census questionnaire for dwellings and P-3 census questionnaire for persons were answered by the respondents themselves (for themselves and for other household members); from administrative and statistical sources.Interview.FaceToFace.PAPI

  2. f

    Data from: Structure-Based Discovery of SD-36 as a Potent, Selective, and...

    • acs.figshare.com
    txt
    Updated May 31, 2023
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    Haibin Zhou; Longchuan Bai; Renqi Xu; Yujun Zhao; Jianyong Chen; Donna McEachern; Krishnapriya Chinnaswamy; Bo Wen; Lipeng Dai; Praveen Kumar; Chao-Yie Yang; Zhaomin Liu; Mi Wang; Liu Liu; Jennifer L. Meagher; Han Yi; Duxin Sun; Jeanne A. Stuckey; Shaomeng Wang (2023). Structure-Based Discovery of SD-36 as a Potent, Selective, and Efficacious PROTAC Degrader of STAT3 Protein [Dataset]. http://doi.org/10.1021/acs.jmedchem.9b01530.s002
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    txtAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    ACS Publications
    Authors
    Haibin Zhou; Longchuan Bai; Renqi Xu; Yujun Zhao; Jianyong Chen; Donna McEachern; Krishnapriya Chinnaswamy; Bo Wen; Lipeng Dai; Praveen Kumar; Chao-Yie Yang; Zhaomin Liu; Mi Wang; Liu Liu; Jennifer L. Meagher; Han Yi; Duxin Sun; Jeanne A. Stuckey; Shaomeng Wang
    License

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

    Description

    Signal transducer and activator of transcription 3 (STAT3) is a transcription factor and an attractive therapeutic target for cancer and other human diseases. Despite 20 years of persistent research efforts, targeting STAT3 has been very challenging. We report herein the structure-based discovery of potent small-molecule STAT3 degraders based upon the proteolysis targeting chimera (PROTAC) concept. We first designed SI-109 as a potent, small-molecule inhibitor of the STAT3 SH2 domain. Employing ligands for cereblon/cullin 4A E3 ligase and SI-109, we obtained a series of potent PROTAC STAT3 degraders, exemplified by SD-36. SD-36 induces rapid STAT3 degradation at low nanomolar concentrations in cells and fails to degrade other STAT proteins. SD-36 achieves nanomolar cell growth inhibitory activity in leukemia and lymphoma cell lines with high levels of phosphorylated STAT3. A single dose of SD-36 results in complete STAT3 protein degradation in xenograft tumor tissue and normal mouse tissues. SD-36 achieves complete and long-lasting tumor regression in the Molm-16 xenograft tumor model at well-tolerated dose-schedules. SD-36 is a potent, selective, and efficacious STAT3 degrader.

  3. f

    Average monthly income (in Euros) of residents in Ljubljana, Nova Gorica,...

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Franc Marušič; Rok Žaucer; Vesna Plesničar; Tina Razboršek; Jessica Sullivan; David Barner (2023). Average monthly income (in Euros) of residents in Ljubljana, Nova Gorica, Slovenska Bistrica, and Metlika (from the Statistical Office of the Republic of Slovenia (pxweb.stat.si)). [Dataset]. http://doi.org/10.1371/journal.pone.0159208.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Franc Marušič; Rok Žaucer; Vesna Plesničar; Tina Razboršek; Jessica Sullivan; David Barner
    License

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

    Area covered
    Metlika, Nova Gorica, Slovenska Bistrica, Ljubljana, Slovenia
    Description

    Average monthly income (in Euros) of residents in Ljubljana, Nova Gorica, Slovenska Bistrica, and Metlika (from the Statistical Office of the Republic of Slovenia (pxweb.stat.si)).

  4. A

    Popis prebivalstva, gospodinjstev in stanovanj v RS v letu 2002: Vzorec...

    • old.adp.fdv.uni-lj.si
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    Popis prebivalstva, gospodinjstev in stanovanj v RS v letu 2002: Vzorec mikropodatkov za javno uporabo : 5-odstotni vzorec posameznikov, stanovanj in stavb [Dataset]. https://old.adp.fdv.uni-lj.si/opisi/popis02/
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    Description

    Namen popisa v letu 2002 je bil zbrati osnovne podatke o prebivalstvu, gospodinjstvih in stanovanjih in stavbah tudi za najnižje teritorialne ravni in za primerjavo s prejšnjimi popisi. Podatki so pomembni za državne ustanove, raziskovalce in tudi širšo javnost pri ugotavljanju stanja in načrtovanju sprememb v družbi. Statistični urad Republike Slovenije je na spletni strani glej: Rezultati Popisa 2002 in svojih publikacijah objavil agregirane popisne podatke v obliki tabel. Vzorec mikropodatkov za javno uporabo : 5-odstotni vzorec posameznikov, stanovanj in stavb je namenjen predvsem za uporabo v raziskovanju in izobraževanju in omogoča poljubno pregledovanje povezanosti med spremenljivkami. Na voljo so tri podatkovne datoteke: osebe, stanovanja in stavbe. Datoteke so za splošno rabo preko ADP anonimizirane, dostop do celovitih podatkov je ob upoštevanju omejitev zaradi statistične zaupnosti mogoč samo na SURS. V datoteki oseb so zajete geografske značilnosti oseb kot so regija prebivališča, kraj šolanja ali dela, pogostost in način dnevnih migracij, čas in država ali regija selitve, nato demografske značilnosti oseb kot so število živorojenih otrok, spol in starost, zakonski stan, nato ekonomske značilnosti kot so izobrazba, delovna aktivnost, panoga zaposlitve in poklic, ter stanovanjsko razmerje gospodinjstva in lastno pridelovanje hrane. Spremenljivki narodnost in veroizpoved sta izločeni iz datotek zaradi občutljivosti pri skrbi za zaupnost podatkov. Datoteka stanovanj zajema regijo, vrsto in lastništvo stanovanja, število oseb in gospodinjstev v stanovanju, lego, površino, število sob v stanovanju, opremljenost s pomožnimi prostori, priključki in napeljavami, način in vir ogrevanja. Datoteka stavb zajema spremenljivke vrste zgraditve, števila nadstropij in stanovanj, materiala konstrukcije in leta zgraditve.

  5. h

    stat

    • huggingface.co
    Updated Jun 26, 2025
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    Crish Ajay Nagarkar (2025). stat [Dataset]. https://huggingface.co/datasets/CrishN/stat
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    Dataset updated
    Jun 26, 2025
    Authors
    Crish Ajay Nagarkar
    Description

    CrishN/stat dataset hosted on Hugging Face and contributed by the HF Datasets community

  6. h

    Stat

    • huggingface.co
    Updated May 1, 2025
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    Yaohui Zhang (2025). Stat [Dataset]. https://huggingface.co/datasets/yhzhang3/Stat
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 1, 2025
    Authors
    Yaohui Zhang
    Description

    yhzhang3/Stat dataset hosted on Hugging Face and contributed by the HF Datasets community

  7. d

    Library Monthly Stats

    • catalog.data.gov
    • data.lacity.org
    • +2more
    Updated Jun 29, 2025
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    data.lacity.org (2025). Library Monthly Stats [Dataset]. https://catalog.data.gov/dataset/library-monthly-stats
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    Dataset updated
    Jun 29, 2025
    Dataset provided by
    data.lacity.org
    Description

    Monthly statistics from the Library on Web visits, computer usage, e-media, etc.

  8. R

    Oe Stat Dataset

    • universe.roboflow.com
    zip
    Updated Jun 27, 2024
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    xxtention-bs (2024). Oe Stat Dataset [Dataset]. https://universe.roboflow.com/xxtention-bs/oe-stat
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    zipAvailable download formats
    Dataset updated
    Jun 27, 2024
    Dataset authored and provided by
    xxtention-bs
    License

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

    Variables measured
    Om
    Description

    OE Stat

    ## Overview
    
    OE Stat is a dataset for classification tasks - it contains Om annotations for 275 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [Public Domain license](https://creativecommons.org/licenses/Public Domain).
    
  9. Amount of data created, consumed, and stored 2010-2023, with forecasts to...

    • statista.com
    Updated Jun 30, 2025
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    Statista (2025). Amount of data created, consumed, and stored 2010-2023, with forecasts to 2028 [Dataset]. https://www.statista.com/statistics/871513/worldwide-data-created/
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    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2024
    Area covered
    Worldwide
    Description

    The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching *** zettabytes in 2024. Over the next five years up to 2028, global data creation is projected to grow to more than *** zettabytes. In 2020, the amount of data created and replicated reached a new high. The growth was higher than previously expected, caused by the increased demand due to the COVID-19 pandemic, as more people worked and learned from home and used home entertainment options more often. Storage capacity also growing Only a small percentage of this newly created data is kept though, as just * percent of the data produced and consumed in 2020 was saved and retained into 2021. In line with the strong growth of the data volume, the installed base of storage capacity is forecast to increase, growing at a compound annual growth rate of **** percent over the forecast period from 2020 to 2025. In 2020, the installed base of storage capacity reached *** zettabytes.

  10. Slovenia STAT Projection: Population: Male

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Slovenia STAT Projection: Population: Male [Dataset]. https://www.ceicdata.com/en/slovenia/population-projection-statistical-office-of-the-republic-of-slovenia/stat-projection-population-male
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2069 - Dec 1, 2080
    Area covered
    Slovenia
    Description

    Slovenia STAT Projection: Population: Male data was reported at 964,488.000 Person in 2080. This records an increase from the previous number of 964,460.000 Person for 2079. Slovenia STAT Projection: Population: Male data is updated yearly, averaging 1,019,594.000 Person from Dec 2014 (Median) to 2080, with 67 observations. The data reached an all-time high of 1,036,453.000 Person in 2025 and a record low of 964,460.000 Person in 2079. Slovenia STAT Projection: Population: Male data remains active status in CEIC and is reported by Statistical Office of the Republic of Slovenia. The data is categorized under Global Database’s Slovenia – Table SI.G002: Population: Projection: Statistical Office of the Republic of Slovenia.

  11. e

    Information on beneficiaries of pensions, state social allowances and...

    • data.europa.eu
    excel xls, excel xlsx +1
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    Information on beneficiaries of pensions, state social allowances and allowances addressed to families with children, in the register of the National Social Insurance House [Dataset]. https://data.europa.eu/data/datasets/18965-informatie-privind-beneficiarii-de-pensii-alocatii-sociale-de-stat-si-indemnizatii-adresate-fa
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    excel xlsx, excel xls, unknownAvailable download formats
    Description

    Information on beneficiaries of pensions, state social allowances and allowances addressed to families with children, in the register of the National Social Insurance House

  12. Quick Stats Agricultural Database API

    • catalog.data.gov
    • datadiscoverystudio.org
    • +3more
    Updated Apr 21, 2025
    + more versions
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    National Agricultural Statistics Service, Department of Agriculture (2025). Quick Stats Agricultural Database API [Dataset]. https://catalog.data.gov/dataset/quick-stats-agricultural-database-api
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    National Agricultural Statistics Servicehttp://www.nass.usda.gov/
    Description

    Quick Stats API is the programmatic interface to the National Agricultural Statistics Service's (NASS) online database containing results from the 1997, 2002, 2007, and 2012 Censuses of Agriculture as well as the best source of NASS survey published estimates. The census collects data on all commodities produced on U.S. farms and ranches, as well as detailed information on expenses, income, and operator characteristics. The surveys that NASS conducts collect information on virtually every facet of U.S. agricultural production.

  13. County Statistics File 4 (CO-STAT 4)

    • archive.ciser.cornell.edu
    Updated Jan 1, 2020
    + more versions
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    Bureau of the Census (2020). County Statistics File 4 (CO-STAT 4) [Dataset]. http://doi.org/10.6077/j5/sqrm19
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    Dataset updated
    Jan 1, 2020
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    Bureau of the Census
    Variables measured
    GeographicUnit
    Description

    This compilation of data, which was gathered from a variety of federal agencies and private organizations, provides information for the United States as a whole, the 50 states and the District of Columbia, and 3,141 counties and county equivalents (defined as of April 24, 1989). Data are included for the following general areas: age, ancestry, agriculture, banking, business, construction, crime, education, elections, government, health, households, housing, labor, land area, manufactures, money income, personal income, population, poverty, retail trade, service industries, social insurance and human services, veterans, vital statistics, wholesale trade, and journey to work. (Source: ICSPR, retrieved 06/29/2011)

  14. e

    STAT transcription factor, coiled-coil domain

    • ebi.ac.uk
    Updated Mar 5, 2020
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    (2020). STAT transcription factor, coiled-coil domain [Dataset]. https://www.ebi.ac.uk/interpro/entry/pfam/PF01017
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    Dataset updated
    Mar 5, 2020
    License

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

    Description

    STAT proteins (Signal Transducers and Activators of Transcription) are a family of transcription factors that are specifically activated to regulate gene transcription when cells encounter cytokines and growth factors. STATs share 6 structurally and functionally conserved domains including: an N-terminal domain (ND) that strengthens interactions between STAT dimers on adjacent DNA-binding sites; a coiled-coil STAT domain (CCD) that is implicated in protein-protein interactions; a DNA-binding domain (DBD) with an immunoglobulin-like fold similar to p53 tumour suppressor protein; an EF-hand-like linker domain connecting the DNA-binding and SH2 domains; an SH2 domain that acts as a phosphorylation-dependent switch to control receptor recognition and DNA-binding; and a C-terminal transactivation domain. This entry represents the coiled-coil domain (CCD)

  15. S

    Slovenia SI: Children Out of School: Primary: Male

    • ceicdata.com
    Updated Feb 3, 2018
    + more versions
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    CEICdata.com (2018). Slovenia SI: Children Out of School: Primary: Male [Dataset]. https://www.ceicdata.com/en/slovenia/social-education-statistics
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    Dataset updated
    Feb 3, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Slovenia
    Variables measured
    Education Statistics
    Description

    SI: Children Out of School: Primary: Male data was reported at 833.000 Person in 2022. This records a decrease from the previous number of 1,071.000 Person for 2021. SI: Children Out of School: Primary: Male data is updated yearly, averaging 1,195.500 Person from Dec 1995 (Median) to 2022, with 28 observations. The data reached an all-time high of 2,167.000 Person in 1995 and a record low of 679.000 Person in 2020. SI: Children Out of School: Primary: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Slovenia – Table SI.World Bank.WDI: Social: Education Statistics. Children out of school are the number of primary-school-age children not enrolled in primary or secondary school.;UNESCO Institute for Statistics (UIS). UIS.Stat Bulk Data Download Service. Accessed April 5, 2025. https://apiportal.uis.unesco.org/bdds.;Sum;

  16. Seair Exim Solutions

    • seair.co.in
    + more versions
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    Seair Exim, Seair Exim Solutions [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    India
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  17. County Statistics File 1 (CO-STAT): [United States]

    • icpsr.umich.edu
    ascii
    Updated Jan 18, 2006
    + more versions
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    United States. Bureau of the Census (2006). County Statistics File 1 (CO-STAT): [United States] [Dataset]. http://doi.org/10.3886/ICPSR08314.v1
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    asciiAvailable download formats
    Dataset updated
    Jan 18, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States. Bureau of the Census
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/8314/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8314/terms

    Area covered
    Kentucky, Maryland, West Virginia, Mississippi, Idaho, Massachusetts, Kansas, South Dakota, District of Columbia, Oklahoma
    Description

    Data gathered from a variety of federal agencies and private organizations are contained in this collection which provides county statistics. Included in CO_STAT 1 are all data for counties published in the 1983 County and City Data Book and the 1982 State and Metropolitan Area Data Book, as well as a number of statistics not previously published. There are several levels of data (e.g., persons, housing units, and local governments). The collection supplies information on the following general areas: agriculture, banking, crime, education, elections, government, households, health, housing, labor, land area, manufactures, money income, personal income, population, poverty, retail trade, service industries, social insurance and human services, savings and loan associations, veterans, vital statistics, wholesale trade, and journey to work. Records are included for each of the fifty states and the District of Columbia as well as 3,137 counties or county equivalents.

  18. p

    Northeast Region Household Data. NER-Stat: Caregiving Survey

    • purr.purdue.edu
    Updated Apr 30, 2024
    + more versions
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    Shoshanah Inwood; Zuzana Bednarik; Florence Becot; Selena Caldera; Carrie Henning-Smith; Steven Cohen; Jennifer Finders; Leacey Brown (2024). Northeast Region Household Data. NER-Stat: Caregiving Survey [Dataset]. http://doi.org/10.4231/TP7N-8B10
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    Dataset updated
    Apr 30, 2024
    Dataset provided by
    PURR
    Authors
    Shoshanah Inwood; Zuzana Bednarik; Florence Becot; Selena Caldera; Carrie Henning-Smith; Steven Cohen; Jennifer Finders; Leacey Brown
    License

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

    Area covered
    Northeastern United States
    Description

    The NCRCRD, Ohio State University, and Pennsylvania State University collected household data for the Northeast Region to learn more about individuals and families who provide child, adult, and/or elder caregiving.

  19. d

    Data from: E-STAT in a Nutshell

    • search.dataone.org
    Updated Dec 28, 2023
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    Gail Curry (2023). E-STAT in a Nutshell [Dataset]. http://doi.org/10.5683/SP3/7ICVZ2
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Gail Curry
    Description

    This presentation provides an overview of E-STAT and a demonstration of how to use it to locate, retrieve, manipulate and display Census and CANSIM data.

  20. E

    Global Si-OLED Microdisplay Market Business Opportunities 2025-2032

    • statsndata.org
    excel, pdf
    Updated Jun 2025
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    Stats N Data (2025). Global Si-OLED Microdisplay Market Business Opportunities 2025-2032 [Dataset]. https://www.statsndata.org/report/si-oled-microdisplay-market-1395
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    excel, pdfAvailable download formats
    Dataset updated
    Jun 2025
    Authors
    Stats N Data
    License

    https://www.statsndata.org/how-to-orderhttps://www.statsndata.org/how-to-order

    Area covered
    Global
    Description

    The Si-OLED Microdisplay market is rapidly emerging as a transformative segment within the display technology industry, characterized by its compact form factor and superior visual performance. These microdisplays, which leverage silicon-based organic light-emitting diode technology, have become integral in various

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(2024). Popis prebivalstva, gospodinjstev in stanovanj v RS v letu 2002 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/4e3b150c-a0f6-5e37-9260-1a5f0aa3ee00

Popis prebivalstva, gospodinjstev in stanovanj v RS v letu 2002 - Dataset - B2FIND

Explore at:
Dataset updated
Sep 2, 2024
Description

Namen popisa v letu 2002 je bil zbrati osnovne podatke o prebivalstvu, gospodinjstvih in stanovanjih in stavbah tudi za najnižje teritorialne ravni in za primerjavo s prejšnjimi popisi. Podatki so pomembni za državne ustanove, raziskovalce in tudi širšo javnost pri ugotavljanju stanja in načrtovanju sprememb v družbi. Statistični urad Republike Slovenije je na spletni strani (gl. https://www.stat.si/popis2002/si/default.htm) in v svojih publikacijah objavil agregirane popisne podatke v obliki tabel. Vzorec mikropodatkov za javno uporabo : 5-odstotni vzorec posameznikov, stanovanj in stavb je namenjen predvsem za uporabo v raziskovanju in izobraževanju in omogoča poljubno pregledovanje povezanosti med spremenljivkami. Na voljo so tri podatkovne datoteke: osebe, stanovanja in stavbe. Datoteke so za splošno rabo preko ADP anonimizirane, dostop do celovitih podatkov je ob upoštevanju omejitev zaradi statistične zaupnosti mogoč samo na SURS. V datoteki oseb so zajete geografske značilnosti oseb, kot so regija prebivališča, kraj šolanja ali dela, pogostost in način dnevnih migracij, čas in država ali regija selitve, nato demografske značilnosti oseb, kot so število živorojenih otrok, spol in starost, zakonski stan, nato ekonomske značilnosti, kot so izobrazba, delovna aktivnost, panoga zaposlitve in poklic, ter stanovanjsko razmerje gospodinjstva in lastno pridelovanje hrane. Spremenljivki narodnost in veroizpoved sta izločeni iz datotek zaradi občutljivosti pri skrbi za zaupnost podatkov. Datoteka stanovanj zajema regijo, vrsto in lastništvo stanovanja, število oseb in gospodinjstev v stanovanju, lego, površino, število sob v stanovanju, opremljenost s pomožnimi prostori, priključki in napeljavami, način in vir ogrevanja. Datoteka stavb zajema spremenljivke vrste zgraditve, števila nadstropij in stanovanj, materiala konstrukcije in leta zgraditve. The purpose of Census 2002 is to collect data concerning inhabitants, families, households and dwellings for planning future necessities, decisions and trend on Slovenia's different territorial levels and different social groups (see https://www.stat.si/popis2002/si/default.htm). Public Use Microdata Sample : 5- Percent Sample of Individuals, Dwellings and Buildings is available for students and researchers primarily, who would like to explore more complex relations among variables. Data is anonymised for public use. Integral data is accessible under certain condition directly from SURS. Three data sets are available in this collection: individuals, dwellings and buildings. Data on region, daily and permanent migrations, education and work, family and household situation are available on persons level. Dwellings are described by region, ownership, physical properties, supply and communication installations, and source and installation of heating. Buildings are described by type, number of floors, dwellings, construction material used and year when constructed. Verjetnostno: stratificirano: proporcionalnoProbability.Stratified.Proportional Probability: Stratified: ProportionalProbability.Stratified.Proportional Osebni intervju: PAPIOsebno anketiranje na terenu z vprašalnikom na papirju. Samoizpolnjevana anketa. Za del popisnih vprašanj je bila dana možnost samopopisa. Podatki prevzeti iz administrativnih in statističnih registrov.Interview.FaceToFace.PAPI Face-to-face interview: Paper-and-pencil (PAPI)Personal interviews; classical enumeration, when all census questionnaires were filled in by especially qualified enumerators on the basis of answers provided by the respondent or by an adult member of the household for absent household members and children under 15. Self completed survey; self-enumeration, when answers to most questions on the P-2 census questionnaire for dwellings and P-3 census questionnaire for persons were answered by the respondents themselves (for themselves and for other household members); from administrative and statistical sources.Interview.FaceToFace.PAPI

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