12 datasets found
  1. SAP: number of employees 2006-2024

    • statista.com
    Updated Mar 3, 2025
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    Statista (2025). SAP: number of employees 2006-2024 [Dataset]. https://www.statista.com/statistics/276252/number-of-sap-employees-worldwide-since-2006/
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    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Between 2009 and 2024, SAP more than doubled its number of employees, increasing total employment from around 52,000 to around 109,973 in a little over 15 years. The company’s range of successful business software products, database management programs, and analytics tools has helped it to achieve years of consistent revenue growth. SAP SE SAP is a German tech company that focuses on enterprise business software. First making a name for itself in the 1970s with its real-time payroll and accounting software, the company has since grown into one of the most valuable technology brands in the world. One of the company’s main products is its SAP HANA software suite, which is a relational database management system with thousands of subscribers around the world SAP markets its software to companies of all sizes, providing a large range of analytics and data processing software in addition to its cloud and non-cloud database products. Enterprise Resource Planning software Enterprise resource planning (ERP) refers to the business process management software that allows businesses to integrate different aspects of business operations in one database, application and user interface. SAP, Oracle, and Microsoft are some of the biggest names in the market, each accounting for a significant portion of the total market, which brings in tens of billions of dollars in revenue each year.

  2. Estimates of the population for the UK, England, Wales, Scotland, and...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Oct 8, 2024
    + more versions
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    Office for National Statistics (2024). Estimates of the population for the UK, England, Wales, Scotland, and Northern Ireland [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/populationandmigration/populationestimates/datasets/populationestimatesforukenglandandwalesscotlandandnorthernireland
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    xlsxAvailable download formats
    Dataset updated
    Oct 8, 2024
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Ireland, England, United Kingdom
    Description

    National and subnational mid-year population estimates for the UK and its constituent countries by administrative area, age and sex (including components of population change, median age and population density).

  3. Data from: Linking Xylem Diameter Variations with Sap Flow Measurements at...

    • search.dataone.org
    • portal.edirepository.org
    • +1more
    Updated Dec 5, 2023
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    Sanna Sevanto; N. Michele Holbrook (2023). Linking Xylem Diameter Variations with Sap Flow Measurements at Harvard Forest 2003-2006 [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-hfr%2F129%2F13
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    Dataset updated
    Dec 5, 2023
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Sanna Sevanto; N. Michele Holbrook
    Time period covered
    Jan 1, 2003 - Jan 1, 2006
    Area covered
    Variables measured
    doy, year, datetime, oak1.stem, oak2.stem, maple.stem, oak1.xylem, oak2.xylem, birch1.stem, birch2.stem, and 5 more
    Description

    Measurements of variation in the diameter of tree stems provide a rapid response, high resolution tool for detecting changes in water tension inside the xylem. Water movement inside the xylem is caused by changes in the water tension and theoretically, the sap flow rate should be directly proportional to the water tension gradient and, therefore, also linearly linked to the xylem diameter variations. The coefficient of proportionality describes the water conductivity and elasticity of the conducting tissue. Xylem diameter variation measurements could thus provide an alternative approach for estimating sap flow rates, but currently we lack means for calibration. On the other hand, xylem diameter variation measurements could also be used as a tool for studying xylem structure and function. If we knew both the water tension in the xylem and the sap flow rate, xylem conductivity and/or elasticity could be calculated from the slope of their relationship. In this study we measured diurnal xylem diameter variation simultaneously with sap flow rates (Granier-type thermal method) in six deciduous species (Acer rubrum L., Alnus glutinosa Miller, Betula lenta L., Fagus Sylvatica L. Quercus rubra L., and Tilia vulgaris L.) for 7-91 day periods during summers 2003, 2005 and 2006 and analyzed the relationship between these two measurements. We found that in all species xylem diameter variations and sap flow rate were linearly related in daily scale (daily average R 2 = 0.61-0.87) but there was a significant variation in the daily slopes of the linear regressions. The largest variance in the slopes, however, was found between species, which is encouraging for finding a species specific calibration method for measuring sap flow rates using xylem diameter variations. At a daily timescale, xylem diameter variation and sap flow rate were related to each other via a hysteresis loop. The slopes during the morning and afternoon did not differ statistically significantly from each other, indicating no overall change in the conductivity. Because of the variance in the daily slopes, we tested three different data averaging methods to obtain calibration coefficients. The performance of the averaging methods depended on the source of variance in the data set and none of them performed best for all species. The best estimates of instantaneous sap flow rates were also given by different averaging methods than the best estimates of total daily water use. Using the linear relationship of sap flow rate and xylem diameter variations we calculated the conductance and specific conductivity of the soil-xylem-atmosphere water pathway. The conductance were of the order of magnitude 10-5 kg s-1 MPa-1 for all species, which compares well with measured water fluxes from broadleaved forests. Interestingly, because of the large sap wood area the conductance of Betula was approximately 10 times larger than in other species.

  4. f

    Demographic data and clinical characteristics of the SAP patients.

    • figshare.com
    xls
    Updated May 30, 2023
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    Yao Liu; Ling Wang; Zhifang Cai; Peng Zhao; Cijun Peng; Lijin Zhao; Chidan Wan (2023). Demographic data and clinical characteristics of the SAP patients. [Dataset]. http://doi.org/10.1371/journal.pone.0135768.t001
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Yao Liu; Ling Wang; Zhifang Cai; Peng Zhao; Cijun Peng; Lijin Zhao; Chidan Wan
    License

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

    Description

    Data are presented in either means and standard deviations or frequencies and percentages.Demographic data and clinical characteristics of the SAP patients.

  5. f

    Data_Sheet_1_Novel machine learning models to predict pneumonia events in...

    • figshare.com
    • frontiersin.figshare.com
    docx
    Updated Jun 14, 2023
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    Yan Zheng; Yuan-Xiang Lin; Qiu He; Ling-Yun Zhuo; Wei Huang; Zhu-Yu Gao; Ren-Long Chen; Ming-Pei Zhao; Ze-Feng Xie; Ke Ma; Wen-Hua Fang; Deng-Liang Wang; Jian-Cai Chen; De-Zhi Kang; Fu-Xin Lin (2023). Data_Sheet_1_Novel machine learning models to predict pneumonia events in supratentorial intracerebral hemorrhage populations: An analysis of the Risa-MIS-ICH study.docx [Dataset]. http://doi.org/10.3389/fneur.2022.955271.s001
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    docxAvailable download formats
    Dataset updated
    Jun 14, 2023
    Dataset provided by
    Frontiers
    Authors
    Yan Zheng; Yuan-Xiang Lin; Qiu He; Ling-Yun Zhuo; Wei Huang; Zhu-Yu Gao; Ren-Long Chen; Ming-Pei Zhao; Ze-Feng Xie; Ke Ma; Wen-Hua Fang; Deng-Liang Wang; Jian-Cai Chen; De-Zhi Kang; Fu-Xin Lin
    License

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

    Description

    BackgroundStroke-associated pneumonia (SAP) contributes to high mortality rates in spontaneous intracerebral hemorrhage (sICH) populations. Accurate prediction and early intervention of SAP are associated with prognosis. None of the previously developed predictive scoring systems are widely accepted. We aimed to derive and validate novel supervised machine learning (ML) models to predict SAP events in supratentorial sICH populations.MethodsThe data of eligible supratentorial sICH individuals were extracted from the Risa-MIS-ICH database and split into training, internal validation, and external validation datasets. The primary outcome was SAP during hospitalization. Univariate and multivariate analyses were used for variable filtering, and logistic regression (LR), Gaussian naïve Bayes (GNB), random forest (RF), K-nearest neighbor (KNN), support vector machine (SVM), extreme gradient boosting (XGB), and ensemble soft voting model (ESVM) were adopted for ML model derivations. The accuracy, sensitivity, specificity, and area under the curve (AUC) were adopted to evaluate the predictive value of each model with internal/cross-/external validations.ResultsA total of 468 individuals with sICH were included in this work. Six independent variables [nasogastric feeding, airway support, unconscious onset, surgery for external ventricular drainage (EVD), larger sICH volume, and intensive care unit (ICU) stay] for SAP were identified and selected for ML prediction model derivations and validations. The internal and cross-validations revealed the superior and robust performance of the GNB model with the highest AUC value (0.861, 95% CI: 0.793–0.930), while the LR model had the highest AUC value (0.867, 95% CI: 0.812–0.923) in external validation. The ESVM method combining the other six methods had moderate but robust abilities in both cross-validation and external validation and achieved an AUC of 0.843 (95% CI: 0.784–0.902) in external validation.ConclusionThe ML models could effectively predict SAP in sICH populations, and our novel ensemble model demonstrated reliable robust performance outcomes despite the populational and algorithmic differences. This attempt indicated that ML application may benefit in the early identification of SAP.

  6. Ecosystem-Scale Rainfall Manipulation in a Piñon-Juniper Forest at the...

    • search.dataone.org
    • portal.edirepository.org
    Updated Apr 5, 2019
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    William Pockman; Nathan McDowell (2019). Ecosystem-Scale Rainfall Manipulation in a Piñon-Juniper Forest at the Sevilleta National Wildlife Refuge, New Mexico: Sap Flow Data (2006-2013) [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-sev%2F277%2F2360028
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    Dataset updated
    Apr 5, 2019
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    William Pockman; Nathan McDowell
    Time period covered
    Jan 1, 2006 - Jan 1, 2013
    Area covered
    Variables measured
    Day, Hour, Year, Month, PJ_day, species, Tree Name, treatment, Julian_day, sapflow Js, and 10 more
    Description

    Climate models predict that water limited regions around the world will become drier and warmer in the near future, including southwestern North America. We developed a large-scale experimental system that allows testing of the ecosystem impacts of precipitation changes. Four treatments were applied to 1600 m2 plots (40 m × 40 m), each with three replicates in a piñon pine (Pinus edulis) and juniper (Juniper monosperma) ecosystem. These species have extensive root systems, requiring large-scale manipulation to effectively alter soil water availability.  Treatments consisted of: 1) irrigation plots that receive supplemental water additions, 2) drought plots that receive 55% of ambient rainfall, 3) cover-control plots that receive ambient precipitation, but allow determination of treatment infrastructure artifacts, and 4) ambient control plots. Our drought structures effectively reduced soil water potential and volumetric water content compared to the ambient, cover-control, and water addition plots. Drought and cover control plots experienced an average increase in maximum soil and air temperature at ground level of 1-4° C during the growing season compared to ambient plots, and concurrent short-term diurnal increases in maximum air temperature were also observed directly above and below plastic structures. Our drought and irrigation treatments significantly influenced tree predawn water potential, sap-flow, and net photosynthesis, with drought treatment trees exhibiting significant decreases in physiological function compared to ambient and irrigated trees.  Supplemental irrigation resulted in a significant increase in both plant water potential and xylem sap-flow compared to trees in the other treatments. This experimental design effectively allows manipulation of plant water stress at the ecosystem scale, permits a wide range of drought conditions, and provides prolonged drought conditions comparable to historical droughts in the past – drought events for which wide-spread mortality in both these species was observed. The focus of this study was to determine the effects of rainfall manipulation on our two target tree species.  Therefore, the analysis of the water relations of these trees was an essential component of the project.  Sap-flow within each individual target tree was monitored through the use of Granier probes.  These monitoring efforts provided a window on processes such as transpiration and the night-time re-filling of the xylem tissue.  Drought tolerance and adaptation strategies were also explored by comparing differences in sap-flow rates across treatment types and between species.

  7. f

    Original data set.

    • figshare.com
    • plos.figshare.com
    xlsx
    Updated Jun 1, 2023
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    Laura Adelaide Dalla Vecchia; Franca Barbic; Beatrice De Maria; Domenico Cozzolino; Roberto Gatti; Franca Dipaola; Enrico Brunetta; Antonio Roberto Zamuner; Alberto Porta; Raffaello Furlan (2023). Original data set. [Dataset]. http://doi.org/10.1371/journal.pone.0216567.s001
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    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Laura Adelaide Dalla Vecchia; Franca Barbic; Beatrice De Maria; Domenico Cozzolino; Roberto Gatti; Franca Dipaola; Enrico Brunetta; Antonio Roberto Zamuner; Alberto Porta; Raffaello Furlan
    License

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

    Description

    Original data set of the enrolled population (11 amateur triathletes and 11 age-matched healthy controls). (XLSX)

  8. Enterprise Survey 2016 - Cambodia

    • catalog.ihsn.org
    • microdata.worldbank.org
    Updated Jun 26, 2017
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    World Bank (2017). Enterprise Survey 2016 - Cambodia [Dataset]. https://catalog.ihsn.org/catalog/study/KHM_2016_ES_v01_M
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    Dataset updated
    Jun 26, 2017
    Dataset authored and provided by
    World Bankhttp://worldbank.org/
    Time period covered
    2016
    Area covered
    Cambodia
    Description

    Abstract

    This survey was conducted in Cambodia between February - June 2016, as part of the Enterprise Survey project, an initiative of the World Bank. The objective of the survey is to obtain feedback from enterprises on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries. Only registered businesses are surveyed in the Enterprise Survey.

    Data from 373 establishments was analyzed. Stratified random sampling was used to select the surveyed businesses. The data was collected using face-to-face interviews.

    The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country's business environment. The remaining questions assess the survey respondents' opinions on what are the obstacles to firm growth and performance.

    Geographic coverage

    Phnom Penh, Plains, Mountains, Coastal and Tonle Sap

    Analysis unit

    The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

    Universe

    The whole population, or universe of the study, is the non-agricultural economy. It comprises: all manufacturing sectors according to the group classification of ISIC Revision 3.1: (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities-sectors.

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The sample was selected using stratified random sampling. Three levels of stratification were used in this country: industry, establishment size, and region.

    Industry stratification was designed in the way that follows: the universe was stratified into one manufacturing industry and two services industries- Manufacturing (ISIC 3.1 codes 15 - 37), Retail (ISIC code 52), and Other Services (ISIC codes 45, 50, 51, 55, 60-64, and 72).

    For the Cambodia ES, size stratification was defined as follows: small (5 to 19 employees), medium (20 to 99 employees), and large (100 or more employees).

    Regional stratification for the Cambodia ES was done across five regions: Phnom Penh, Plains, Mountains, Coastal and Tonle Sap.

    The sample frame consisted of listings of firms from two sources: First, for panel firms the list of 472 firms from the Cambodia 2013 ES was used. Second, for fresh firms (i.e., firms not covered in 2013), data from the National Institute of Statistics (NIS) was used.

    The quality of the frame was enhanced by the verification process conducted by Mekong Economics. However, the sample frame was not immune from the typical problems found in establishment surveys: positive rates of non-eligibility, repetition, non-existent units, etc.

    Given the impact that non-eligible units included in the sample universe may have on the results, adjustments may be needed when computing the appropriate weights for individual observations. The percentage of confirmed non-eligible units as a proportion of the total number of sampled establishments contacted for the survey was 0% (0 out of 984 establishments).

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The structure of the data base reflects the fact that two different versions of the survey instrument were used for all registered establishments. Questionnaires have common questions (core module) and respectfully additional manufacturing- and services-specific questions. The eligible manufacturing industries have been surveyed using the Manufacturing questionnaire (includes the core module, plus manufacturing specific questions). Retail firms have been interviewed using the Services questionnaire (includes the core module plus retail specific questions) and the residual eligible services have been covered using the Services questionnaire (includes the core module). Each variation of the questionnaire is identified by the index variable, a0.

    Cleaning operations

    Data entry and quality controls are implemented by the contractor and data is delivered to the World Bank in batches (typically 10%, 50% and 100%). These data deliveries are checked for logical consistency, out of range values, skip patterns, and duplicate entries. Problems are flagged by the World Bank and corrected by the implementing contractor through data checks, callbacks, and revisiting establishments.

    Response rate

    Survey non-response must be differentiated from item non-response. The former refers to refusals to participate in the survey altogether whereas the latter refers to the refusals to answer some specific questions. Enterprise Surveys suffer from both problems and different strategies were used to address these issues.

    Item non-response was addressed by two strategies: a- For sensitive questions that may generate negative reactions from the respondent, such as corruption or tax evasion, enumerators were instructed to collect "Refusal to respond" (-8) as a different option from "Don't know" (-9). b- Establishments with incomplete information were re-contacted in order to complete this information, whenever necessary.

    Survey non-response was addressed by maximizing efforts to contact establishments that were initially selected for interview. Attempts were made to contact the establishment for interview at different times/days of the week before a replacement establishment (with similar strata characteristics) was suggested for interview. Survey non-response did occur but substitutions were made in order to potentially achieve strata-specific goals.

    The number of interviews per contacted establishments was 0.38. This number is the result of two factors: explicit refusals to participate in the survey, as reflected by the rate of rejection (which includes rejections of the screener and the main survey) and the quality of the sample frame, as represented by the presence of ineligible units. The number of rejections per contact was 0.08.

  9. d

    AFSC/RACE/SAP/Pathobiology: 2015 Bitter crab disease prevalence in immature...

    • datadiscoverystudio.org
    html
    Updated Feb 7, 2018
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    (2018). AFSC/RACE/SAP/Pathobiology: 2015 Bitter crab disease prevalence in immature Chionoecetes spp. at 6 index sites in eastern Bering Sea. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/85f069d214b44a95bedc85ce468a75db/html
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    htmlAvailable download formats
    Dataset updated
    Feb 7, 2018
    Area covered
    Bering Sea
    Description

    description: This dataset contains crab data from a field survey of Chionoecetes bairdi and C. opilio collected at six designated index sites in the Bering Sea during the 2015 NOAA/NMFS/AFSC/RACE crab-groundfish bottom trawl surveys of the eastern Bering Sea. Each of the six index sites were made up of approximately 10 survey stations and chosen based on historical incidences of the parasite Hematodinium sp., the causative agent of Bitter Crab Syndrome (BCS). Blood samples were taken from collected crab using non-lethal methods and were preserved in 100% ethanol. Samples were tested in a laboratory with a DNA test to detect the presence of the parasite Hematodinium sp., the causative agent of Bitter Crab Syndrome (BCS) to evaluate any changes in intensity of disease within the index sites that may provide information as to how the disease is moving or changing within EBS crab populations. The data includes sampling year, index site, species, crab morphometrics, Hematodinium sp. parasite presence/absence based on PCR assay results.; abstract: This dataset contains crab data from a field survey of Chionoecetes bairdi and C. opilio collected at six designated index sites in the Bering Sea during the 2015 NOAA/NMFS/AFSC/RACE crab-groundfish bottom trawl surveys of the eastern Bering Sea. Each of the six index sites were made up of approximately 10 survey stations and chosen based on historical incidences of the parasite Hematodinium sp., the causative agent of Bitter Crab Syndrome (BCS). Blood samples were taken from collected crab using non-lethal methods and were preserved in 100% ethanol. Samples were tested in a laboratory with a DNA test to detect the presence of the parasite Hematodinium sp., the causative agent of Bitter Crab Syndrome (BCS) to evaluate any changes in intensity of disease within the index sites that may provide information as to how the disease is moving or changing within EBS crab populations. The data includes sampling year, index site, species, crab morphometrics, Hematodinium sp. parasite presence/absence based on PCR assay results.

  10. Baseline characteristics of all communes and those with at least one case of...

    • figshare.com
    xls
    Updated May 31, 2023
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    Duy Pham Thanh; Corinne N. Thompson; Maia A Rabaa; Soeng Sona; Sun Sopheary; Varun Kumar; Catrin Moore; Nga Tran Vu Thieu; Lalith Wijedoru; Kathryn E. Holt; Vanessa Wong; Derek Pickard; Guy E. Thwaites; Nicholas Day; Gordon Dougan; Paul Turner; Christopher M. Parry; Stephen Baker (2023). Baseline characteristics of all communes and those with at least one case of typhoid fever. [Dataset]. http://doi.org/10.1371/journal.pntd.0004785.t001
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Duy Pham Thanh; Corinne N. Thompson; Maia A Rabaa; Soeng Sona; Sun Sopheary; Varun Kumar; Catrin Moore; Nga Tran Vu Thieu; Lalith Wijedoru; Kathryn E. Holt; Vanessa Wong; Derek Pickard; Guy E. Thwaites; Nicholas Day; Gordon Dougan; Paul Turner; Christopher M. Parry; Stephen Baker
    License

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

    Description

    Baseline characteristics of all communes and those with at least one case of typhoid fever.

  11. Regression results highlighting factors associated with typhoid cases.

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 1, 2023
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    Duy Pham Thanh; Corinne N. Thompson; Maia A Rabaa; Soeng Sona; Sun Sopheary; Varun Kumar; Catrin Moore; Nga Tran Vu Thieu; Lalith Wijedoru; Kathryn E. Holt; Vanessa Wong; Derek Pickard; Guy E. Thwaites; Nicholas Day; Gordon Dougan; Paul Turner; Christopher M. Parry; Stephen Baker (2023). Regression results highlighting factors associated with typhoid cases. [Dataset]. http://doi.org/10.1371/journal.pntd.0004785.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Duy Pham Thanh; Corinne N. Thompson; Maia A Rabaa; Soeng Sona; Sun Sopheary; Varun Kumar; Catrin Moore; Nga Tran Vu Thieu; Lalith Wijedoru; Kathryn E. Holt; Vanessa Wong; Derek Pickard; Guy E. Thwaites; Nicholas Day; Gordon Dougan; Paul Turner; Christopher M. Parry; Stephen Baker
    License

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

    Description

    Regression results highlighting factors associated with typhoid cases.

  12. f

    Cervical cancer screening coverage at baseline, those referring a private...

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    xls
    Updated Jun 1, 2023
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    Amelia Acera; Josep Maria Manresa; Diego Rodriguez; Ana Rodriguez; Josep Maria Bonet; Marta Trapero-Bertran; Pablo Hidalgo; Norman Sànchez; Silvia de Sanjosé (2023). Cervical cancer screening coverage at baseline, those referring a private gynecologist and rescued coverage post intervention and final population coverage attained by intervention groups and the control group at five and a half years*. [Dataset]. http://doi.org/10.1371/journal.pone.0170371.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Amelia Acera; Josep Maria Manresa; Diego Rodriguez; Ana Rodriguez; Josep Maria Bonet; Marta Trapero-Bertran; Pablo Hidalgo; Norman Sànchez; Silvia de Sanjosé
    License

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

    Description

    Cervical cancer screening coverage at baseline, those referring a private gynecologist and rescued coverage post intervention and final population coverage attained by intervention groups and the control group at five and a half years*.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). SAP: number of employees 2006-2024 [Dataset]. https://www.statista.com/statistics/276252/number-of-sap-employees-worldwide-since-2006/
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SAP: number of employees 2006-2024

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Dataset updated
Mar 3, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

Between 2009 and 2024, SAP more than doubled its number of employees, increasing total employment from around 52,000 to around 109,973 in a little over 15 years. The company’s range of successful business software products, database management programs, and analytics tools has helped it to achieve years of consistent revenue growth. SAP SE SAP is a German tech company that focuses on enterprise business software. First making a name for itself in the 1970s with its real-time payroll and accounting software, the company has since grown into one of the most valuable technology brands in the world. One of the company’s main products is its SAP HANA software suite, which is a relational database management system with thousands of subscribers around the world SAP markets its software to companies of all sizes, providing a large range of analytics and data processing software in addition to its cloud and non-cloud database products. Enterprise Resource Planning software Enterprise resource planning (ERP) refers to the business process management software that allows businesses to integrate different aspects of business operations in one database, application and user interface. SAP, Oracle, and Microsoft are some of the biggest names in the market, each accounting for a significant portion of the total market, which brings in tens of billions of dollars in revenue each year.

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