100+ datasets found
  1. w

    Distribution of artworks in Graphic Design by acquisition date

    • workwithdata.com
    Updated May 8, 2025
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    Work With Data (2025). Distribution of artworks in Graphic Design by acquisition date [Dataset]. https://www.workwithdata.com/charts/artworks?agg=count&chart=bar&f=1&fcol0=art_medium&fop0=%3D&fval0=Graphic+Design&x=acquisition_date&y=records
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    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This bar chart displays artworks by acquisition date using the aggregation count. The data is filtered where the art medium is Graphic Design. The data is about artworks.

  2. p

    Distribution of Students Across Grade Levels in High School Of Graphic...

    • publicschoolreview.com
    Updated Jul 15, 2022
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    Public School Review (2022). Distribution of Students Across Grade Levels in High School Of Graphic Communication Arts [Dataset]. https://www.publicschoolreview.com/high-school-of-graphic-communication-arts-profile
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    Dataset updated
    Jul 15, 2022
    Dataset authored and provided by
    Public School Review
    License

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

    Description

    This dataset tracks annual distribution of students across grade levels in High School Of Graphic Communication Arts

  3. d

    County-Level Geographic Distributions for 47 Exotic Plant Species in Midwest...

    • datasets.ai
    • data.usgs.gov
    • +1more
    55
    Updated Sep 8, 2024
    + more versions
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    Department of the Interior (2024). County-Level Geographic Distributions for 47 Exotic Plant Species in Midwest USA and Central Canada, Compiled 2019 [Dataset]. https://datasets.ai/datasets/county-level-geographic-distributions-for-47-exotic-plant-species-in-midwest-usa-and-centr
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    55Available download formats
    Dataset updated
    Sep 8, 2024
    Dataset authored and provided by
    Department of the Interior
    Area covered
    Midwestern United States, Canada, Central Canada, United States
    Description

    Geographic distribution data were collected based on county level occurrences (or converted from point occurrences to county level occurrences) within the five focal states (Minnesota, North Dakota, South Dakota, Nebraska & Iowa) and each U.S. state or Canadian province bordering those focal states (Wisconsin, Illinois, Missouri, Kansas, Wyoming, & Montana in the USA and Saskatchewan, Ontario & Manitoba in Canada).

  4. Geographic Distribution of VA Expenditures State Map

    • catalog.data.gov
    • data.va.gov
    • +3more
    Updated Aug 2, 2025
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    Department of Veterans Affairs (2025). Geographic Distribution of VA Expenditures State Map [Dataset]. https://catalog.data.gov/dataset/geographic-distribution-of-va-expenditures-state-map
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    Dataset updated
    Aug 2, 2025
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    This map presents a visual portrayal of the state level data contained in the Geographic Distribution of VA Expenditures report.

  5. Data from: The Impact of Interdisciplinary, Gender and Geographic...

    • figshare.com
    txt
    Updated Dec 15, 2023
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    Ronaldo Prati (2023). The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling [Dataset]. http://doi.org/10.6084/m9.figshare.24817254.v1
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    txtAvailable download formats
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Ronaldo Prati
    License

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

    Description

    The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and ModelingFigures 1 (a,b,c,d) and 2 (a,b,c,d) and 3 (d) can be generated using the graphs.R scriptFigures 3 (a,b,c) running the notebooks Figures3a.ipynb, Figures3b.ipynb and Figures3c.ipynb, respectively.

  6. Geographic Distribution of VA Expenditures FY 2016

    • catalog.data.gov
    • data.va.gov
    • +4more
    Updated Nov 30, 2024
    + more versions
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    Department of Veterans Affairs (2024). Geographic Distribution of VA Expenditures FY 2016 [Dataset]. https://catalog.data.gov/dataset/geographic-distribution-of-va-expenditures-fy-2016
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    Dataset updated
    Nov 30, 2024
    Dataset provided by
    United States Department of Veterans Affairshttp://va.gov/
    Description

    This report details VA expenditures at the state, county, and Congressional District level. It includes categories such as Compensation and Pension, Construction, Insurance, and Medical Care. Veteran population estimates and the number of unique patients who used VA health care services are also included.

  7. w

    Distribution of height per credit where art medium equals Graphic Design

    • workwithdata.com
    Updated May 8, 2025
    + more versions
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    Work With Data (2025). Distribution of height per credit where art medium equals Graphic Design [Dataset]. https://www.workwithdata.com/charts/artworks?agg=sum&chart=bar&f=1&fcol0=art_medium&fop0=%3D&fval0=Graphic+Design&x=credit&y=height
    Explore at:
    Dataset updated
    May 8, 2025
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    This bar chart displays height (cm) by credit using the aggregation sum. The data is filtered where the art medium is Graphic Design. The data is about artworks.

  8. Salary distribution of graphic artists in Denmark 2022, by salary group

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Salary distribution of graphic artists in Denmark 2022, by salary group [Dataset]. https://www.statista.com/statistics/877763/salary-distribution-of-graphic-artists-in-denmark-by-salary-group/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Denmark
    Description

    The largest share of graphic artists in Denmark had a monthly income of 30,000 to 32,999 Danish kroner. As of December 2022, 1.5 percent of graphic artists in Denmark had a monthly salary of 47,000 kroner or more, while 0.76 percent of Danish graphic artists earned between 14,000 and 15,999 Danish kroner per month.

  9. Geographic Distribution of Federal Funds, Fiscal Year 1981: [United States]

    • icpsr.umich.edu
    ascii
    Updated Mar 30, 2006
    + more versions
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    United States House of Representatives. Committee on House Administration. House Information Systems (2006). Geographic Distribution of Federal Funds, Fiscal Year 1981: [United States] [Dataset]. http://doi.org/10.3886/ICPSR06043.v1
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    asciiAvailable download formats
    Dataset updated
    Mar 30, 2006
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    United States House of Representatives. Committee on House Administration. House Information Systems
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/6043/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/6043/terms

    Time period covered
    Oct 1980 - Sep 1981
    Area covered
    United States
    Description

    This data collection reports the distribution of federal funds of the executive branch of the federal government by agency, program, and inference spending for every county of the United States and for each city where the population exceeds 25,000. Two tables provide codes and the names associated with those codes for program, appropriation, function, agency, and geographic variables used in the data.

  10. Geographic distribution of hedge fund assets in the U.S. 2018, by manager...

    • statista.com
    Updated May 23, 2022
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    Statista (2022). Geographic distribution of hedge fund assets in the U.S. 2018, by manager location [Dataset]. https://www.statista.com/statistics/948514/hedge-fund-assets-usa-by-location/
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    Dataset updated
    May 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    United States
    Description

    This statistic presents the distribution of assets managed by hedge funds in the United States in 2018, by manager location. At that time, more than half of the U.S. hedge funds, in terms of assets under management, were managed from New York.

  11. G

    Graphic Design Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 8, 2025
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    Data Insights Market (2025). Graphic Design Market Report [Dataset]. https://www.datainsightsmarket.com/reports/graphic-design-market-20411
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Mar 8, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The global graphic design market, valued at $54.35 billion in 2025, is projected to experience robust growth, exhibiting a Compound Annual Growth Rate (CAGR) of 5.89% from 2025 to 2033. This expansion is fueled by several key factors. The increasing adoption of digital platforms across various industries, coupled with the rising demand for visually appealing content in marketing and branding, significantly drives market growth. E-commerce businesses, particularly SMEs, heavily rely on compelling graphic design for online presence and product promotion, contributing substantially to market demand. Furthermore, the ongoing trend of personalized branding and the expansion of the creative economy are propelling the market forward. The market is segmented by design type (logo & brand identity, app & digital design, advertising, etc.), design platform (online and offline), and end-users (SMEs, large enterprises, and government). While online design platforms offer convenience and accessibility, offline design services still maintain significant relevance for high-end projects requiring bespoke solutions and personalized client interaction. The geographic distribution of the market reveals considerable dynamism, with North America and Europe currently holding the largest market shares. However, Asia-Pacific is poised for significant growth driven by rapid economic expansion and increasing digitalization. The competitive landscape is diverse, encompassing both established global players and agile niche firms specializing in specific design areas. Sustained innovation, evolving technological tools, and the continuous demand for creative and effective visual communication will solidify this market's trajectory in the coming years. The continued growth trajectory is underpinned by several factors. The increasing adoption of sophisticated design software and tools lowers the barrier to entry for aspiring designers and enables higher design efficiency for established firms. Furthermore, the global expansion of digital marketing campaigns across diverse industries is creating a substantial and consistent demand for high-quality graphic design services. While potential restraints could include economic downturns impacting marketing budgets, the long-term outlook for the graphic design market remains positive due to the intrinsic value of visual communication in building brands, attracting customers, and achieving business success in both the digital and physical spheres. The market's evolution will continue to be shaped by the emergence of new design trends, technological advancements, and the competitive landscape itself, necessitating adaptability and innovation from industry players to maintain market share and capitalize on opportunities. Graphic Design Market: A Comprehensive Analysis (2019-2033) This in-depth report provides a comprehensive analysis of the global graphic design market, covering the period from 2019 to 2033. With a base year of 2025 and an estimated market value exceeding billions of dollars, this study offers invaluable insights for businesses and investors seeking to understand this dynamic sector. We delve into market segmentation, key trends, competitive landscapes, and future growth projections, utilizing extensive data and expert analysis to deliver a robust and reliable resource. This report will equip you with the knowledge needed to navigate the complexities of the graphic design industry and capitalize on emerging opportunities. Recent developments include: July 2024: Adobe announced breakthrough innovations in its industry leading professional design apps Adobe Illustrator and Adobe Photoshop that accelerate everyday creative workflows and give creators more control. From ideation to production, the new release of Illustrator unlocks new ways for pro designers and illustrators to more easily and quickly bring their vision to life across brand graphics, logos and icons, product packaging, marketing deliverables, pattern creation and beyond.September 2024: PepsiCo introduced a new visual design for 7UP as part of this global refresh with bright colors and minimalistic aesthetics. The restaged 7UP VIS represents a frame of mind and style that encompasses all that is refreshing, distinctive, and modern.. Key drivers for this market are: Rising Demand for Digital Content, Expansion of Branding and Advertising Initiatives. Potential restraints include: Rising Demand for Digital Content, Expansion of Branding and Advertising Initiatives. Notable trends are: SMEs to Hold Significant Growth.

  12. Code and data to reproduce "Linking geographic distribution and niche...

    • figshare.com
    txt
    Updated Apr 28, 2025
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    Tad Dallas; Cleber Ten Caten (2025). Code and data to reproduce "Linking geographic distribution and niche through estimation of niche density" [Dataset]. http://doi.org/10.6084/m9.figshare.24158340.v1
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    txtAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Tad Dallas; Cleber Ten Caten
    License

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

    Description

    Code to reproduce the analyses from: Dallas,T, and C Ten Caten. 2025. Linking geographic distribution and niche through estimation of niche density. Journal of Animal Ecology. Code is written in R and the file is in R markdown (.Rmd). The Rdata file included (env.RData) contains the environmental data layers used, but code to recreate these layers is also included in the analysis.Rmd (keep in mind that it will take some time and processing power). redlist_simple_summary.csv is the information from the IUCN redlist used in Appendix S1 of the manuscript. sessionInfo() for the R workspace is below for transparency and hopefully reproducibility (we recognize that some code will require modification in the future, as some spatial packages used here are being replaced by others).{r}sessionInfo()R version 4.4.2 (2024-10-31)Platform: x86_64-pc-linux-gnuRunning under: Ubuntu 22.04.5 LTSMatrix products: defaultBLAS: /usr/lib/x86_64-linux-gnu/atlas/libblas.so.3.10.3 LAPACK: /usr/lib/x86_64-linux-gnu/atlas/liblapack.so.3.10.3; LAPACK version 3.10.0locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=en_US.UTF-8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C time zone: America/New_Yorktzcode source: system (glibc)attached base packages:[1] stats graphics grDevices utils datasets methods base other attached packages: [1] RColorBrewer_1.1-3 ggplot2_3.5.1 ape_5.8 [4] alphahull_2.5 rnaturalearthdata_0.1.0 countrycode_1.5.0 [7] CoordinateCleaner_2.0-20 terra_1.7-39 raster_3.6-23 [10] sp_2.1-4 geosphere_1.5-20 geometry_0.4.7 [13] dbplyr_2.5.0 gbifdb_0.1.2 dplyr_1.1.4 [16] plyr_1.8.9 loaded via a namespace (and not attached): [1] tidyselect_1.2.1 farver_2.1.2 arrow_12.0.1 [4] R.utils_2.12.3 sgeostat_1.0-27 lazyeval_0.2.2 [7] spatstat.geom_3.2-9 digest_0.6.37 lifecycle_1.0.4 [10] sf_1.0-13 spatstat.data_3.0-4 magrittr_2.0.3 [13] compiler_4.4.2 rlang_1.1.4 tools_4.4.2 [16] utf8_1.2.4 data.table_1.16.2 labeling_0.4.3 [19] bit_4.5.0 interp_1.1-4 classInt_0.4-9 [22] xml2_1.3.6 abind_1.4-5 KernSmooth_2.23-24 [25] withr_3.0.2 purrr_1.0.2 R.oo_1.26.0 [28] grid_4.4.2 polyclip_1.10-6 fansi_1.0.6 [31] e1071_1.7-16 colorspace_2.1-1 scales_1.3.0 [34] spatstat.utils_3.0-4 cli_3.6.3 crayon_1.5.3 [37] generics_0.1.3 rgbif_3.7.7 httr_1.4.7 [40] magic_1.6-1 DBI_1.2.3 proxy_0.4-27 [43] stringr_1.5.1 parallel_4.4.2 rnaturalearth_0.3.3 [46] assertthat_0.2.1 vctrs_0.6.5 Matrix_1.7-1 [49] jsonlite_1.8.9 bit64_4.5.2 hexbin_1.28.4 [52] units_0.8-2 splancs_2.01-44 rgdal_1.6-7 [55] glue_1.8.0 spatstat.random_3.2-3 codetools_0.2-19 [58] stringi_1.8.4 gtable_0.3.6 deldir_1.0-9 [61] munsell_0.5.1 tibble_3.2.1 pillar_1.9.0 [64] R6_2.5.1 oai_0.4.0 lattice_0.22-5 [67] R.methodsS3_1.8.2 class_7.3-22 Rcpp_1.0.13-1 [70] nlme_3.1-165 whisker_0.4.1 rgeos_0.6-3 [73] pkgconfig_2.0.3

  13. f

    Data from: Community structure informs species geographic distributions

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated May 23, 2018
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    Estrada, Alba; Montesinos-Navarro, Alicia; Early, Regan; Mendoza, Manuel; Vicente, Joana R.; Honrado, Joao P.; Matias, Miguel G.; Font, Xavier; Prasad, Hari D.; Meireles, Catarina (2018). Community structure informs species geographic distributions [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000709609
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    Dataset updated
    May 23, 2018
    Authors
    Estrada, Alba; Montesinos-Navarro, Alicia; Early, Regan; Mendoza, Manuel; Vicente, Joana R.; Honrado, Joao P.; Matias, Miguel G.; Font, Xavier; Prasad, Hari D.; Meireles, Catarina
    Description

    Understanding what determines species’ geographic distributions is crucial for assessing global change threats to biodiversity. Measuring limits on distributions is usually, and necessarily, done with data at large geographic extents and coarse spatial resolution. However, survival of individuals is determined by processes that happen at small spatial scales. The relative abundance of coexisting species (i.e. ‘community structure’) reflects assembly processes occurring at small scales, and are often available for relatively extensive areas, so could be useful for explaining species distributions. We demonstrate that Bayesian Network Inference (BNI) can overcome several challenges to including community structure into studies of species distributions, despite having been little used to date. We hypothesized that the relative abundance of coexisting species can improve predictions of species distributions. In 1570 assemblages of 68 Mediterranean woody plant species we used BNI to incorporate community structure into Species Distribution Models (SDMs), alongside environmental information. Information on species associations improved SDM predictions of community structure and species distributions moderately, though for some habitat specialists the deviance explained increased by up to 15%. We demonstrate that most species associations (95%) were positive and occurred between species with ecologically similar traits. This suggests that SDM improvement could be because species co-occurrences are a proxy for local ecological processes. Our study shows that Bayesian Networks, when interpreted carefully, can be used to include local conditions into measurements of species’ large-scale distributions, and this information can improve the predictions of species distributions.

  14. d

    Data from: Measuring Geographic Distribution for Political Research

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Rogers, Melissa; Lee, Dong Wook (2023). Measuring Geographic Distribution for Political Research [Dataset]. http://doi.org/10.7910/DVN/DKY4DY
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Rogers, Melissa; Lee, Dong Wook
    Description

    Replication code and data for Lee, Dong Wook and Melissa Rogers. 2019. Measuring Geographic Distribution for Political Research. Political Analysis.

  15. T

    Geographic Distribution of VA Expenditures FY1998

    • datahub.va.gov
    • data.va.gov
    • +5more
    application/rdfxml +5
    Updated Sep 12, 2019
    + more versions
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    (2019). Geographic Distribution of VA Expenditures FY1998 [Dataset]. https://www.datahub.va.gov/dataset/Geographic-Distribution-of-VA-Expenditures-FY1998/33cm-6aew
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    tsv, application/rssxml, csv, application/rdfxml, json, xmlAvailable download formats
    Dataset updated
    Sep 12, 2019
    Description

    This report details VA expenditures at the state, county, and Congressional District level. It includes categories such as Compensation and Pension, Construction, Insurance, and Medical Care. Veteran population estimates and the number of unique patients who used VA health care services are also available.

  16. D

    Geographic Distribution of VA Expenditures (GDX) Report

    • datalumos.org
    Updated Mar 19, 2025
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    (2025). Geographic Distribution of VA Expenditures (GDX) Report [Dataset]. http://doi.org/10.3886/E223502V1
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    Dataset updated
    Mar 19, 2025
    License

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

    Area covered
    Guam, United States
    Description

    The National Center for Veterans Analysis and Statistics (NCVAS) publishes the annual Geographic Distribution of VA Expenditures (GDX) Report. The GDX report provides a breakdown of VA expenditures for each major VA program at the state, county, and Congressional District levels. Expenditure data are grouped into the following program categories: Compensation and Pension;Education and Vocational Rehabilitation and Employment;Insurance and Indemnities;Loan Guaranty;Medical ExpendituresConstruction and Related Costs; andGeneral Operating Expenses and Related Costs. The GDX Report also includes Veteran population estimates at the state, county and Congressional District level and the number of unique patients who used VA health care services.

  17. Geographic distribution of big tech acquisitions, 2019-2025

    • statista.com
    Updated Jul 17, 2025
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    Statista (2025). Geographic distribution of big tech acquisitions, 2019-2025 [Dataset]. https://www.statista.com/statistics/1612689/big-tech-mergers-by-country/
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    Dataset updated
    Jul 17, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The U.S. leads as the primary target country for Big Tech acquisitions, with a count of *** companies acquired from 2019 to 2025, followed by the U.K. with ** companies.

  18. Potential geographic distribution of malicious AI agents global 2024-2025

    • statista.com
    Updated Jul 1, 2025
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    Statista (2025). Potential geographic distribution of malicious AI agents global 2024-2025 [Dataset]. https://www.statista.com/statistics/1616191/geo-distribution-of-ai-agents-cyberattacks/
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    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2024 - May 2025
    Area covered
    Worldwide
    Description

    Between September 2024 and May 2025, India was the country where most AI agents deploying cyberattacks detected by a system behind simulated "vulnerable" services were distributed. This system, created by an AI research organization called Palisade Research and called LLM Agent Honeypot, is dedicated to tracking the behavior of agentic AI. According to the tracking, nearly ** percent of AI agents were potentially located in India, while around ** percent were potentially located in Hong Kong, Lithuania, and Singapore, each.

  19. A geographic distribution database of the cassava whitefly complex...

    • gbif.org
    Updated Jun 22, 2023
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    Aymer Andrés Vásquez Ordóñez; Aymer Andrés Vásquez Ordóñez (2023). A geographic distribution database of the cassava whitefly complex (Hemiptera, Aleyrodidae) and their associated parasitoids and hyperparasitoids (Hymenoptera) [Dataset]. http://doi.org/10.15472/5eycqu
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    Dataset updated
    Jun 22, 2023
    Dataset provided by
    International Center for Tropical Agriculturehttps://alliancebioversityciat.org/
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Authors
    Aymer Andrés Vásquez Ordóñez; Aymer Andrés Vásquez Ordóñez
    License

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

    Time period covered
    Jan 10, 1975 - Mar 11, 2012
    Area covered
    Description

    Whiteflies (Hemiptera, Aleyrodidae) are represented by more than 1500 herbivorous species around the world. Some of them are notorious pests of cassava (Manihot esculenta), a primary food crop in the tropics. Whitefly populations are regulated mainly by Hymenopteran parasitoids. Despite their importance, neither the distribution of cassava whiteflies, nor that of their associated parasitoids, is well documented. This paper therefore reports observational and specimen-based occurrence records of cassava whiteflies and their associated parasitoids and hyperparasitoids. The dataset consists of 1,311 distribution records documented by the International Center for Tropical Agriculture (CIAT) between 1975 and 2012. The specimens are held at CIAT’s Arthropod Reference Collection (CIATARC). Eleven species of whiteflies, 14 species of parasitoids and one species of hyperparasitoids are reported. Approximately 66% of the whitefly records belong to Aleurotrachelus socialis and 16% to Bemisia tuberculata. The parasitoids with most records are Encarsia hispida, Amitus macgowni and E. bellottii for A. socialis; and E. sophia for B. tuberculata. The complete dataset is available in Darwin Core Archive format via the Global Biodiversity Information Facility (GBIF).

  20. Communicable Diseases Geographic Distribution Data Package

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Communicable Diseases Geographic Distribution Data Package [Dataset]. https://www.johnsnowlabs.com/marketplace/communicable-diseases-geographic-distribution-data-package/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Description

    This data package contains the state level HIV, tuberculosis, viral hepatitis and STD cases for the United States.

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Work With Data (2025). Distribution of artworks in Graphic Design by acquisition date [Dataset]. https://www.workwithdata.com/charts/artworks?agg=count&chart=bar&f=1&fcol0=art_medium&fop0=%3D&fval0=Graphic+Design&x=acquisition_date&y=records

Distribution of artworks in Graphic Design by acquisition date

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Dataset updated
May 8, 2025
Dataset authored and provided by
Work With Data
License

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

Description

This bar chart displays artworks by acquisition date using the aggregation count. The data is filtered where the art medium is Graphic Design. The data is about artworks.

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