68 datasets found
  1. Complete Antivirus Database

    • comodo.com
    cav
    Updated Apr 15, 2010
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    Comodo (2010). Complete Antivirus Database [Dataset]. https://www.comodo.com/home/internet-security/updates/vdp/database.php
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    cavAvailable download formats
    Dataset updated
    Apr 15, 2010
    Dataset provided by
    Comodo Grouphttp://www.comodo.com/
    Authors
    Comodo
    License

    https://www.comodo.com/home/internet-security/updates/vdp/database.phphttps://www.comodo.com/home/internet-security/updates/vdp/database.php

    Description

    The complete Comodo Internet Security database is available for download...

  2. T

    Data from: Stochastic Komodo Algorithm

    • dataverse.telkomuniversity.ac.id
    pdf
    Updated Jul 14, 2022
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    Telkom University Dataverse (2022). Stochastic Komodo Algorithm [Dataset]. http://doi.org/10.34820/FK2/UQKWB2
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    pdf(401434)Available download formats
    Dataset updated
    Jul 14, 2022
    Dataset provided by
    Telkom University Dataverse
    License

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

    Description

    A novel metaheuristic algorithm is proposed in this paper, namely stochastic komodo algorithm (SKA). This proposed algorithm is an improved version of Komodo mlipir algorithm (KMA), which is inspired by the behaviour of Komodo during foraging and mating. The improvement is conducted by simplifying the basic form of KMA.

  3. I

    Indonesia Aircraft Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo

    • ceicdata.com
    + more versions
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    CEICdata.com, Indonesia Aircraft Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo [Dataset]. https://www.ceicdata.com/en/indonesia/aircraft-traffic-domestic/aircraft-traffic-domestic-arrival-east-nusa-tenggara-komodo
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    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, 2006 - Dec 1, 2017
    Area covered
    Indonesia
    Variables measured
    Vehicle Traffic
    Description

    Indonesia Aircraft Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo data was reported at 3,899.000 Unit in 2017. This records an increase from the previous number of 3,636.000 Unit for 2016. Indonesia Aircraft Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo data is updated yearly, averaging 1,771.500 Unit from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 3,899.000 Unit in 2017 and a record low of 468.000 Unit in 2010. Indonesia Aircraft Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Transport and Telecommunication Sector – Table ID.TB005: Aircraft Traffic: Domestic.

  4. Komodo kratom USA Import & Buyer Data

    • seair.co.in
    Updated Sep 2, 2017
    + more versions
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    Seair Exim (2017). Komodo kratom USA Import & Buyer Data [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Sep 2, 2017
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    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.

  5. e

    Eximpedia Export Import Trade

    • eximpedia.app
    Updated Feb 17, 2025
    + more versions
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    Seair Exim (2025). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 17, 2025
    Dataset provided by
    Eximpedia PTE LTD
    Eximpedia Export Import Trade Data
    Authors
    Seair Exim
    Area covered
    British Indian Ocean Territory, Maldives, United States Minor Outlying Islands, Holy See, Tanzania, Grenada, Australia, Anguilla, Mexico, Angola
    Description

    Eximpedia Export import trade data lets you search trade data and active Exporters, Importers, Buyers, Suppliers, manufacturers exporters from over 209 countries

  6. Komodo Fitnessltd Importer/Buyer Data in USA, Komodo Fitnessltd Imports Data...

    • seair.co.in
    Updated Feb 18, 2024
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    Seair Exim (2024). Komodo Fitnessltd Importer/Buyer Data in USA, Komodo Fitnessltd Imports Data [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 18, 2024
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    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.

  7. MB "Komodo Modo" - turnover, revenue, profit | Okredo

    • okredo.com
    Updated Jul 4, 2025
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    Okredo (2025). MB "Komodo Modo" - turnover, revenue, profit | Okredo [Dataset]. https://okredo.com/en-lt/company/mb-komodo-modo-305680560/finance
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    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Okredo
    License

    https://okredo.com/en-lt/general-ruleshttps://okredo.com/en-lt/general-rules

    Time period covered
    2020 - 2024
    Area covered
    Lithuania
    Variables measured
    Equity (€), Turnover (€), Net Profit (€), CurrentAssets (€), Non-current Assets (€), Amounts Payable And Liabilities (€)
    Description

    MB "Komodo Modo" financial data: profit, annual turnover, paid taxes, sales revenue, equity, assets (long-term and short-term), profitability indicators.

  8. T

    Data from: Hybrid Pelican Komodo Algorithm

    • dataverse.telkomuniversity.ac.id
    pdf
    Updated Jul 14, 2022
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    Telkom University Dataverse (2022). Hybrid Pelican Komodo Algorithm [Dataset]. http://doi.org/10.34820/FK2/4PZIZ9
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    pdf(256160)Available download formats
    Dataset updated
    Jul 14, 2022
    Dataset provided by
    Telkom University Dataverse
    License

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

    Description

    In this work, a new metaheuristic algorithm, namely the hybrid pelican Komodo algorithm (HPKA), has been proposed. This algorithm is developed by hybridizing two shortcoming metaheuristic algorithms: the Pelican Optimization Algorithm (POA) and Komodo Mlipir Algorithm (KMA).

  9. H

    Data for Educational Research on Komodo Conservation in Flores

    • dataverse.harvard.edu
    Updated May 23, 2018
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    Puspita Kamil (2018). Data for Educational Research on Komodo Conservation in Flores [Dataset]. http://doi.org/10.7910/DVN/TWDUSC
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 23, 2018
    Dataset provided by
    Harvard Dataverse
    Authors
    Puspita Kamil
    License

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

    Description

    This dataset is for conservation awareness program in Flores, NTT, Indonesia.

  10. c

    Komodo Price Prediction for 2025-08-11

    • coinunited.io
    Updated Jul 12, 2025
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    cu.schema_organization_name (2025). Komodo Price Prediction for 2025-08-11 [Dataset]. https://coinunited.io/en/data/prices/crypto/komodo-kmd/price-prediction
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    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    cu.schema_organization_name
    Description

    Price prediction data for Komodo on 2025-08-11

  11. I

    Indonesia Ship Calls: Non Commercial Port: Domestic: East Nusa Tenggara:...

    • ceicdata.com
    + more versions
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    CEICdata.com, Indonesia Ship Calls: Non Commercial Port: Domestic: East Nusa Tenggara: Komodo [Dataset]. https://www.ceicdata.com/en/indonesia/ship-calls-domestic-voyage-by-non-commercial-port/ship-calls-non-commercial-port-domestic-east-nusa-tenggara-komodo
    Explore at:
    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, 2008 - Dec 1, 2017
    Area covered
    Indonesia
    Variables measured
    Vehicle Traffic
    Description

    Indonesia Ship Calls: Non Commercial Port: Domestic: East Nusa Tenggara: Komodo data was reported at 515.000 Unit in 2017. This records an increase from the previous number of 119.000 Unit for 2016. Indonesia Ship Calls: Non Commercial Port: Domestic: East Nusa Tenggara: Komodo data is updated yearly, averaging 152.000 Unit from Dec 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 531.000 Unit in 2009 and a record low of 2.000 Unit in 2013. Indonesia Ship Calls: Non Commercial Port: Domestic: East Nusa Tenggara: Komodo data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.TD009: Ship Calls: Domestic Voyage: by Non Commercial Port.

  12. I

    Indonesia Passenger Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Indonesia Passenger Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo [Dataset]. https://www.ceicdata.com/en/indonesia/passenger-traffic-domestic/passenger-traffic-domestic-arrival-east-nusa-tenggara-komodo
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    Dataset updated
    Feb 15, 2025
    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, 2006 - Dec 1, 2017
    Area covered
    Indonesia
    Variables measured
    Passenger Traffic
    Description

    Indonesia Passenger Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo data was reported at 217,922.000 Person in 2017. This records an increase from the previous number of 174,404.000 Person for 2016. Indonesia Passenger Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo data is updated yearly, averaging 54,457.000 Person from Dec 2006 (Median) to 2017, with 11 observations. The data reached an all-time high of 217,922.000 Person in 2017 and a record low of 17,687.000 Person in 2010. Indonesia Passenger Traffic: Domestic: Arrival: East Nusa Tenggara: Komodo data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Transport and Telecommunication Sector – Table ID.TB007: Passenger Traffic: Domestic.

  13. e

    Eximpedia Export Import Trade

    • eximpedia.app
    Updated Feb 18, 2025
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    Seair Exim (2025). Eximpedia Export Import Trade [Dataset]. https://www.eximpedia.app/
    Explore at:
    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Eximpedia PTE LTD
    Eximpedia Export Import Trade Data
    Authors
    Seair Exim
    Area covered
    Mauritania, Sint Eustatius and Saba, Qatar, Mali, Malaysia, Sweden, Bahrain, Åland Islands, Bonaire, San Marino
    Description

    Industrias Komodo Sa De Cv Company Export Import Records. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  14. n

    Data from: Exploring mechanisms and origins of reduced dispersal in island...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Oct 24, 2018
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    Tim S. Jessop; Achmad Arieifandy; Deni Purwandana; Claudio Ciofi; Jeri Imansyah; Yunias Jackson Benu; Damien A. Fordham; David M. Forsyth; Raoul A. Mulder; Benjamin L. Phillips; Achmad Ariefiandy (2018). Exploring mechanisms and origins of reduced dispersal in island Komodo dragons [Dataset]. http://doi.org/10.5061/dryad.2n8055g
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    zipAvailable download formats
    Dataset updated
    Oct 24, 2018
    Dataset provided by
    New South Wales Department of Primary Industries
    University of Florence
    Deakin University
    The University of Adelaide
    The University of Melbourne
    Komodo National Park, Labuan Bajo 86711, Flores, Indonesia
    Komodo Survival Program, Denpasar 80223, Bali, Indonesia
    Authors
    Tim S. Jessop; Achmad Arieifandy; Deni Purwandana; Claudio Ciofi; Jeri Imansyah; Yunias Jackson Benu; Damien A. Fordham; David M. Forsyth; Raoul A. Mulder; Benjamin L. Phillips; Achmad Ariefiandy
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Loss of dispersal typifies island biotas, but the selective processes driving this phenomenon remain contentious. This is because selection via, both indirect (e.g. relaxed selection or island syndromes) and direct (e.g. natural selection or spatial sorting) processes may be involved, and no study has yet convincingly distinguished between these alternatives. Here we combined observational and experimental analyses of an island lizard, the Komodo dragon (Varanus komodoensis, the world’s largest lizard), to provide evidence for the actions of multiple processes that could contribute to island dispersal loss. In the Komodo dragon, concordant results from telemetry, simulations, experimental translocations, mark-recapture and gene flow studies indicated that despite impressive physical and sensory capabilities for long distance movement, Komodo dragons exhibited near complete dispersal restriction: individuals rarely moved beyond the valleys they were born/captured in. Importantly, lizard site-fidelity was insensitive to common agents of dispersal evolution (i.e. indices of risk for inbreeding, kin and intraspecific competition and low habitat quality) that consequently reduced survival of resident individuals. We suggest that direct selection restricts movement capacity (e.g. via benefits of spatial philopatry and increased costs of dispersal) alongside use of dispersal-compensating traits (e.g. intraspecific niche partitioning) to constrain dispersal in island species.

  15. f

    Prevalence of study endpoint among PPS-exposed patients.

    • plos.figshare.com
    xls
    Updated Jan 9, 2025
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    Zhong Yuan; Subusola Vaughan; Carolyn Jeffcoat; Peter Hu; Ritchie Yuson; Daniel Fife; Durga Borkar (2025). Prevalence of study endpoint among PPS-exposed patients. [Dataset]. http://doi.org/10.1371/journal.pone.0313497.t002
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    xlsAvailable download formats
    Dataset updated
    Jan 9, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Zhong Yuan; Subusola Vaughan; Carolyn Jeffcoat; Peter Hu; Ritchie Yuson; Daniel Fife; Durga Borkar
    License

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

    Description

    Prevalence of study endpoint among PPS-exposed patients.

  16. D

    De-identified Health Data Market Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Jan 22, 2025
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    Archive Market Research (2025). De-identified Health Data Market Report [Dataset]. https://www.archivemarketresearch.com/reports/de-identified-health-data-market-9104
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Jan 22, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    Recent developments include: In February 2024, Veradigm published its first Veradigm Insights Report: Cardiovascular Conditions in 2024, analyzing de-identified real-world data from 53 million cardiovascular patients. The report assesses the prevalence of cardiovascular disease (CVD) and related conditions across all U.S. states, with demographic breakdowns based on age, ethnicity, and sex. , In July 2021, Verana Health and Komodo Health partnered to integrate Komodo’s Healthcare Map into Verana’s de-identified EHR datasets, spanning over 325 million patient journeys. This collaboration aims to provide life sciences researchers with detailed insights into patient pathways, encompassing treatment histories, hospitalizations, and socioeconomic factors. The partnership is expected to enhance research efforts in ophthalmology, neurology, and urology by combining clinical outcomes with real-world patient data, supporting more informed treatment development. , In September 2024, ICON announced a collaboration with Intel to utilize de-identified data from its clinical research platform alongside Intel's AI technology. This partnership enhances patient recruitment and streamlines clinical trial processes by deriving insights from de-identified patient data. The initiative aims to advance precision medicine and improve efficiencies in drug development and outcomes by integrating ICON's clinical trial expertise with Intel's AI capabilities. .

  17. c

    Komodo Price Prediction for 2025-08-02

    • coinunited.io
    Updated Jul 12, 2025
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    cu.schema_organization_name (2025). Komodo Price Prediction for 2025-08-02 [Dataset]. https://coinunited.io/en/data/prices/crypto/komodo-kmd/price-prediction
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    Dataset updated
    Jul 12, 2025
    Dataset authored and provided by
    cu.schema_organization_name
    Description

    Price prediction data for Komodo on 2025-08-02

  18. f

    Supplementary data: Burden of illness for patients with primary biliary...

    • becaris.figshare.com
    docx
    Updated Mar 6, 2025
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    Robert Gish; Joanna P MacEwan; Alina Levine; Dannielle Lebovitch; Leona Bessonova; Darren T Wheeler; Radhika Nair; Alan Bonder (2025). Supplementary data: Burden of illness for patients with primary biliary cholangitis: an observational study of clinical characteristics and healthcare resource utilization [Dataset]. http://doi.org/10.6084/m9.figshare.28548404.v1
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    docxAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset provided by
    Becaris
    Authors
    Robert Gish; Joanna P MacEwan; Alina Levine; Dannielle Lebovitch; Leona Bessonova; Darren T Wheeler; Radhika Nair; Alan Bonder
    License

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

    Description

    These are peer-reviewed supplementary materials for the article 'Burden of illness for patients with primary biliary cholangitis: an observational study of clinical characteristics and healthcare resource utilization' published in the Journal of Comparative Effectiveness Research.Supplementary Table 1: Codes used for cirrhosis diagnosis and imaging biopsy proceduresAim: To evaluate the clinical characteristics and healthcare resource utilization for acute care and its costs for patients with primary biliary cholangitis (PBC) with or without cirrhosis. Materials & methods: This retrospective observational cohort study was conducted using two datasets (Komodo’s Healthcare Map™ [Komodo Health] and Optum Clinformatics R ? Data Mart [CDM] database) between 2015 and 2023. Patients (≥18 years) with PBC were identified based on ≥1 inpatient or ≥2 outpatient claims. Healthcare resource utilization for acute care (hospitalizations and emergency department [ED] visits [not leading to hospitalization]) were assessed in both datasets, and associated medical costs were evaluated in Optum CDM. Results: In Komodo Health, of the 29,758 patients with PBC (mean age: 59.2 years), 21.6% had cirrhosis and 50.4% of patients with cirrhosis had Medicaid or Medicare coverage. Of the total 8143 patients in Optum CDM (mean age: 67.0 years), 20.7% had cirrhosis, and most were enrolled in Medicare (69.7%). There was a larger proportion of men in the cirrhosis group compared with the no-cirrhosis group in Komodo Health (31.7 vs 16.3%) and Optum CDM (29.7 vs 16.5%). Annually, among patients with cirrhosis who had a hospitalization, 69.3% had additional hospitalizations, and among patients who had an ED visit, 52.9% had additional ED visits in Komodo Health; similar results were observed in Optum CDM. Among patients with at least one acute-care event, the mean annual acute-care costs with and without cirrhosis were $113,568 and $47,436, respectively. Conclusion: Data from two large healthcare claims databases showed that the majority of patients who had at least one acute-care event experienced additional acute-care events, particularly among those with cirrhosis. Timely treatment to avoid hospitalization and disease progression may help mitigate the clinical and economic burden for patients with PBC.

  19. d

    Data from: Protected by dragons: density surface modeling confirms large...

    • search.dataone.org
    • zenodo.org
    • +1more
    Updated Apr 25, 2025
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    Anna Reuleaux; Benny A. Siregar; Nigel J. Collar; Maria R. Panggur; Ani Mardiastuti; Martin J. Jones; Stuart J. Marsden (2025). Protected by dragons: density surface modeling confirms large population of the critically endangered Yellow-crested Cockatoo on Komodo island [Dataset]. http://doi.org/10.5061/dryad.47d7wm3b9
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    Dataset updated
    Apr 25, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Anna Reuleaux; Benny A. Siregar; Nigel J. Collar; Maria R. Panggur; Ani Mardiastuti; Martin J. Jones; Stuart J. Marsden
    Time period covered
    Jan 1, 2020
    Area covered
    Komodo
    Description

    Intense trapping of the critically endangered Yellow-crested Cockatoo Cacatua sulphurea for the International pet trade has devastated its populations across Indonesia such that populations >100 individuals remain at only a handful of sites. We combined distance sampling with density surface modeling (DSM) to predict local densities and estimate total population size for one of these areas, Komodo Island, part of Komodo National Park (KNP) in Indonesia. We modeled local density based on topography (topographic wetness index) and habitat types (percentage of palm savanna and deciduous monsoon forest). Our population estimate of 1,113 (95% CI: 587–2,109) individuals on Komodo Island was considerably larger than previous conservative estimates. Our density surface maps showed cockatoos to be absent over much of the island, but present at high densities in wooded valleys. Coincidence between our DSM and a set of independent cockatoo observations was high (93%). Standardized annual coun...

  20. I

    Indonesia Cargo Departure: Domestic: East Nusa Tenggara: Komodo-Labuhan...

    • ceicdata.com
    Updated Aug 9, 2020
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    CEICdata.com (2020). Indonesia Cargo Departure: Domestic: East Nusa Tenggara: Komodo-Labuhan Bajo-Denpasar [Dataset]. https://www.ceicdata.com/en/indonesia/cargo-departure-domestic-by-origin-and-destination/cargo-departure-domestic-east-nusa-tenggara-komodolabuhan-bajodenpasar
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    Dataset updated
    Aug 9, 2020
    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, 2007 - Dec 1, 2017
    Area covered
    Indonesia
    Variables measured
    Freight Traffic
    Description

    Indonesia Cargo Departure: Domestic: East Nusa Tenggara: Komodo-Labuhan Bajo-Denpasar data was reported at 172,556.000 kg in 2017. This records an increase from the previous number of 147,476.000 kg for 2016. Indonesia Cargo Departure: Domestic: East Nusa Tenggara: Komodo-Labuhan Bajo-Denpasar data is updated yearly, averaging 47,368.000 kg from Dec 2007 (Median) to 2017, with 10 observations. The data reached an all-time high of 172,556.000 kg in 2017 and a record low of 17,873.000 kg in 2010. Indonesia Cargo Departure: Domestic: East Nusa Tenggara: Komodo-Labuhan Bajo-Denpasar data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Indonesia Premium Database’s Transport and Telecommunication Sector – Table ID.TB019: Cargo Departure: Domestic: by Origin and Destination.

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Comodo (2010). Complete Antivirus Database [Dataset]. https://www.comodo.com/home/internet-security/updates/vdp/database.php
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Complete Antivirus Database

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10 scholarly articles cite this dataset (View in Google Scholar)
cavAvailable download formats
Dataset updated
Apr 15, 2010
Dataset provided by
Comodo Grouphttp://www.comodo.com/
Authors
Comodo
License

https://www.comodo.com/home/internet-security/updates/vdp/database.phphttps://www.comodo.com/home/internet-security/updates/vdp/database.php

Description

The complete Comodo Internet Security database is available for download...

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