100+ datasets found
  1. Oman OM: Completeness of Total Death Reporting

    • ceicdata.com
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    CEICdata.com, Oman OM: Completeness of Total Death Reporting [Dataset]. https://www.ceicdata.com/en/oman/health-statistics/om-completeness-of-total-death-reporting
    Explore at:
    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, 2007 - Dec 1, 2009
    Area covered
    Oman
    Description

    Oman OM: Completeness of Total Death Reporting data was reported at 69.684 % in 2009. This records a decrease from the previous number of 74.821 % for 2008. Oman OM: Completeness of Total Death Reporting data is updated yearly, averaging 69.684 % from Dec 2007 (Median) to 2009, with 3 observations. The data reached an all-time high of 74.821 % in 2008 and a record low of 69.441 % in 2007. Oman OM: Completeness of Total Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Oman – Table OM.World Bank.WDI: Health Statistics. Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; Weighted average;

  2. T

    Indonesia - Completeness Of Birth Registration

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 6, 2017
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    TRADING ECONOMICS (2017). Indonesia - Completeness Of Birth Registration [Dataset]. https://tradingeconomics.com/indonesia/completeness-of-birth-registration-percent-wb-data.html
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Jun 6, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Indonesia
    Description

    Completeness of birth registration (%) in Indonesia was reported at 77 % in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. Indonesia - Completeness of birth registration - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  3. s

    Civil Registration Completeness within 12 months of Birth or Death

    • pacific-data.sprep.org
    • pacificdata.org
    Updated Jun 28, 2025
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    SPC (2025). Civil Registration Completeness within 12 months of Birth or Death [Dataset]. https://pacific-data.sprep.org/dataset/civil-registration-completeness-within-12-months-birth-or-death
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    application/vnd.sdmx.data+csv; labels=name; version=2; charset=utf-8Available download formats
    Dataset updated
    Jun 28, 2025
    Dataset provided by
    Pacific Data Hub
    Authors
    SPC
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    -2.129450541085248], 12.330422368497594], [210.4087629144771, [180.68604618348473, [191.82666666663366, [160.79484880452924, [173.43205267523365, -13.251170035468647], -27.075509410830477], [148.78475549077353, American Samoa, Vanuatu, Republic of the Marshall Islands, French Polynesia, Kiribati, New Caledonia, Papua New Guinea, Solomon Islands, Tonga, Wallis and Futuna
    Description

    Estimations of civil registration completeness within 12 months of birth or 12 months of death. These estimates are drawn from SPC Country profiles or from presentations made at the 2023 Pacific Civil Registrars Meeting.

    Find more Pacific data on PDH.stat.

  4. T

    World - Completeness Of Birth Registration

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 29, 2017
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    TRADING ECONOMICS (2017). World - Completeness Of Birth Registration [Dataset]. https://tradingeconomics.com/world/completeness-of-birth-registration-percent-wb-data.html
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    May 29, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    World, World
    Description

    Completeness of birth registration (%) in World was reported at 72.31 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Completeness of birth registration - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  5. d

    US Consumer Marketing Data - 269M+ Consumer Records - 95% Email and Direct...

    • datarade.ai
    Updated Jun 13, 2025
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    Giant Partners (2025). US Consumer Marketing Data - 269M+ Consumer Records - 95% Email and Direct Dials Accuracy [Dataset]. https://datarade.ai/data-products/consumer-business-data-postal-phone-email-demographics-giant-partners
    Explore at:
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Giant Partners
    Area covered
    United States
    Description

    Premium B2C Consumer Database - 269+ Million US Records

    Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

    Core Database Statistics

    Consumer Records: Over 269 million

    Email Addresses: Over 160 million (verified and deliverable)

    Phone Numbers: Over 76 million (mobile and landline)

    Mailing Addresses: Over 116,000,000 (NCOA processed)

    Geographic Coverage: Complete US (all 50 states)

    Compliance Status: CCPA compliant with consent management

    Targeting Categories Available

    Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

    Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

    Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

    Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

    Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

    Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

    Multi-Channel Campaign Applications

    Deploy across all major marketing channels:

    Email marketing and automation

    Social media advertising

    Search and display advertising (Google, YouTube)

    Direct mail and print campaigns

    Telemarketing and SMS campaigns

    Programmatic advertising platforms

    Data Quality & Sources

    Our consumer data aggregates from multiple verified sources:

    Public records and government databases

    Opt-in subscription services and registrations

    Purchase transaction data from retail partners

    Survey participation and research studies

    Online behavioral data (privacy compliant)

    Technical Delivery Options

    File Formats: CSV, Excel, JSON, XML formats available

    Delivery Methods: Secure FTP, API integration, direct download

    Processing: Real-time NCOA, email validation, phone verification

    Custom Selections: 1,000+ selectable demographic and behavioral attributes

    Minimum Orders: Flexible based on targeting complexity

    Unique Value Propositions

    Dual Spouse Targeting: Reach both household decision-makers for maximum impact

    Cross-Platform Integration: Seamless deployment to major ad platforms

    Real-Time Updates: Monthly data refreshes ensure maximum accuracy

    Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

    Compliance Management: Built-in opt-out and suppression list management

    Ideal Customer Profiles

    E-commerce retailers seeking customer acquisition

    Financial services companies targeting specific demographics

    Healthcare organizations with compliant marketing needs

    Automotive dealers and service providers

    Home improvement and real estate professionals

    Insurance companies and agents

    Subscription services and SaaS providers

    Performance Optimization Features

    Lookalike Modeling: Create audiences similar to your best customers

    Predictive Scoring: Identify high-value prospects using AI algorithms

    Campaign Attribution: Track performance across multiple touchpoints

    A/B Testing Support: Split audiences for campaign optimization

    Suppression Management: Automatic opt-out and DNC compliance

    Pricing & Volume Options

    Flexible pricing structures accommodate businesses of all sizes:

    Pay-per-record for small campaigns

    Volume discounts for large deployments

    Subscription models for ongoing campaigns

    Custom enterprise pricing for high-volume users

    Data Compliance & Privacy

    VIA.tools maintains industry-leading compliance standards:

    CCPA (California Consumer Privacy Act) compliant

    CAN-SPAM Act adherence for email marketing

    TCPA compliance for phone and SMS campaigns

    Regular privacy audits and data governance reviews

    Transparent opt-out and data deletion processes

    Getting Started

    Our data specialists work with you to:

    1. Define your target audience criteria

    2. Recommend optimal data selections

    3. Provide sample data for testing

    4. Configure delivery methods and formats

    5. Implement ongoing campaign optimization

    Why We Lead the Industry

    With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

    Contact our team to discuss your specific targeting requirements and receive custom pricing for your marketing objectives.

  6. d

    Data from: Survey completeness of a global citizen-science database of bird...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Oct 8, 2019
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    Frank La Sorte; Marius Somveille (2019). Survey completeness of a global citizen-science database of bird occurrence [Dataset]. http://doi.org/10.5061/dryad.h9w0vt4d6
    Explore at:
    zipAvailable download formats
    Dataset updated
    Oct 8, 2019
    Dataset provided by
    Dryad
    Authors
    Frank La Sorte; Marius Somveille
    Time period covered
    2019
    Description

    Measuring the completeness of survey inventories created by citizen-science initiatives can identify the strengths and shortfalls in our knowledge of where species occur geographically. Here, we use occurrence information from eBird to measure the survey completeness of the world’s birds in this database at three temporal resolutions and four spatial resolutions across the annual cycle during the period 2002 to 2018. Approximately 84% of the earth’s terrestrial surface contained bird occurrence information with the greatest concentrations occurring in North America, Europe, India, Australia, and New Zealand. The largest regions with low levels of survey completeness were located in central South America, northern and central Africa, and northern Asia. Across spatial and temporal resolutions, survey completeness in regions with occurrence information was 55–74% on average, with the highest values occurring at coarser temporal and coarser spatial resolutions and during spring migration wi...

  7. g

    Development Economics Data Group - Completeness of birth registration (%) |...

    • gimi9.com
    + more versions
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    Development Economics Data Group - Completeness of birth registration (%) | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_wb_hcp_lastnm_birth_reg/
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    License

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

    Description

    Percentage of children under age 5 whose births were registered at the time of the survey (either as verified by the interviewer seeing the birth certificate or as reported by the mother or caretaker). Name in source: Completeness of birth registration (%).

  8. C

    Hospital Annual Financial Disclosure Report – Complete Data Set

    • data.chhs.ca.gov
    • data.ca.gov
    • +2more
    csv, docx, html, pdf +2
    Updated Apr 16, 2025
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    Department of Health Care Access and Information (2025). Hospital Annual Financial Disclosure Report – Complete Data Set [Dataset]. https://data.chhs.ca.gov/dataset/hospital-annual-financial-disclosure-report-complete-data-set
    Explore at:
    xlsx(11764965), xlsx, xlsx(12480917), xlsx(11925012), pdf, docx, xlsx(12202181), html, csv, xlsx(12204483), xlsx(12399572), zip, xlsx(12183715)Available download formats
    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Department of Health Care Access and Information
    Description

    On an annual basis (individual hospital fiscal year), individual hospitals and hospital systems report detailed facility-level data on services capacity, inpatient/outpatient utilization, patients, revenues and expenses by type and payer, balance sheet and income statement.

  9. d

    US B2B Contact Data | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON

    • datarade.ai
    .json, .csv
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    Forager.ai, US B2B Contact Data | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON [Dataset]. https://datarade.ai/data-products/us-b2b-contact-data-180m-records-bi-weekly-updates-csv-forager-ai
    Explore at:
    .json, .csvAvailable download formats
    Dataset provided by
    Forager.ai
    Area covered
    United States
    Description

    US B2B Contact Database | 200M+ Verified Records | 95% Accuracy | API/CSV/JSON Elevate your sales and marketing efforts with America's most comprehensive B2B contact data, featuring over 200M+ verified records of decision-makers, from CEOs to managers, across all industries. Powered by AI and refreshed bi-weekly, this dataset ensures you have access to the freshest, most accurate contact details available for effective outreach and engagement.

    Key Features & Stats:

    200M+ Decision-Makers: Includes C-level executives, VPs, Directors, and Managers.

    95% Accuracy: Email & Phone numbers verified for maximum deliverability.

    Bi-Weekly Updates: Never waste time on outdated leads with our frequent data refreshes.

    50+ Data Points: Comprehensive firmographic, technographic, and contact details.

    Core Fields:

    Direct Work Emails & Personal Emails for effective outreach.

    Mobile Phone Numbers for cold calls and SMS campaigns.

    Full Name, Job Title, Seniority for better personalization.

    Company Insights: Size, Revenue, Funding data, Industry, and Tech Stack for a complete profile.

    Location: HQ and regional offices to target local, national, or international markets.

    Top Use Cases:

    Cold Email & Calling Campaigns: Target the right people with accurate contact data.

    CRM & Marketing Automation Enrichment: Enhance your CRM with enriched data for better lead management.

    ABM & Sales Intelligence: Target the right decision-makers and personalize your approach.

    Recruiting & Talent Mapping: Access CEO and senior leadership data for executive search.

    Instant Delivery Options:

    JSON – Bulk downloads via S3 for easy integration.

    REST API – Real-time integration for seamless workflow automation.

    CRM Sync – Direct integration with your CRM for streamlined lead management.

    Enterprise-Grade Quality:

    SOC 2 Compliant: Ensuring the highest standards of security and data privacy.

    GDPR/CCPA Ready: Fully compliant with global data protection regulations.

    Triple-Verification Process: Ensuring the accuracy and deliverability of every record.

    Suppression List Management: Eliminate irrelevant or non-opt-in contacts from your outreach.

    US Business Contacts | B2B Email Database | Sales Leads | CRM Enrichment | Verified Phone Numbers | ABM Data | CEO Contact Data | US B2B Leads | US prospects data

  10. Azerbaijan AZ: Completeness of Total Death Reporting

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Azerbaijan AZ: Completeness of Total Death Reporting [Dataset]. https://www.ceicdata.com/en/azerbaijan/health-statistics/az-completeness-of-total-death-reporting
    Explore at:
    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, 2007 - Dec 1, 2010
    Area covered
    Azerbaijan
    Description

    Azerbaijan Completeness of Total Death Reporting data was reported at 78.817 % in 2010. This records a decrease from the previous number of 81.081 % for 2008. Azerbaijan Completeness of Total Death Reporting data is updated yearly, averaging 81.081 % from Dec 2007 (Median) to 2010, with 3 observations. The data reached an all-time high of 84.290 % in 2007 and a record low of 78.817 % in 2010. Azerbaijan Completeness of Total Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Azerbaijan – Table AZ.World Bank.WDI: Social: Health Statistics. Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; Weighted average;

  11. d

    Data from: Skeletal completeness of the non‐avian theropod dinosaur fossil...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Jul 2, 2019
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    Daniel D. Cashmore; Richard J. Butler (2019). Skeletal completeness of the non‐avian theropod dinosaur fossil record [Dataset]. http://doi.org/10.5061/dryad.37c840g
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    zipAvailable download formats
    Dataset updated
    Jul 2, 2019
    Dataset provided by
    Dryad
    Authors
    Daniel D. Cashmore; Richard J. Butler
    Time period covered
    2019
    Area covered
    Global
    Description

    Non‐avian theropods were a highly successful clade of bipedal, predominantly carnivorous, dinosaurs. Their diversity and macroevolutionary patterns have been the subject of many studies. Changes in fossil specimen completeness through time and space can bias our understanding of macroevolution. Here, we quantify the completeness of 455 non‐avian theropod species using the skeletal completeness metric (SCM), which calculates the proportion of a complete skeleton preserved for a specimen. Temporal patterns of theropod skeletal completeness show peaks in the Carnian, Oxfordian–Kimmeridgian and Barremian–Aptian, and lows in the Berriasian and Hauterivian. Lagerstätten primarily drive the peaks in completeness and observed taxonomic diversity in the Oxfordian–Kimmeridgian and the Barremian–Aptian. Theropods have a significantly lower distribution of completeness scores than contemporary sauropodomorph dinosaurs but change in completeness through time for the two groups shows a significant co...

  12. d

    Data from: Quantifying historical trends in the completeness of the fossil...

    • datadryad.org
    • narcis.nl
    zip
    Updated Jun 13, 2011
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    Daniel T. Ksepka; Clint A. Boyd (2011). Quantifying historical trends in the completeness of the fossil record and the contributing factors: an example using Aves [Dataset]. http://doi.org/10.5061/dryad.k7t00
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    zipAvailable download formats
    Dataset updated
    Jun 13, 2011
    Dataset provided by
    Dryad
    Authors
    Daniel T. Ksepka; Clint A. Boyd
    Time period covered
    2011
    Description

    Ksepka&BoydPaleobiologyFossil data used for calculations in ASCC: taxon, geological age, date of discovery and date of recognition.

  13. i

    Experiments data used for evaluating PerfSim simulation accuracy based on...

    • ieee-dataport.org
    • paperswithcode.com
    Updated Mar 16, 2021
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    Michel Gokan (2021). Experiments data used for evaluating PerfSim simulation accuracy based on sfc-stress workloads [Dataset]. https://ieee-dataport.org/documents/experiments-data-used-evaluating-perfsim-simulation-accuracy-based-sfc-stress-workloads
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    Dataset updated
    Mar 16, 2021
    Authors
    Michel Gokan
    License

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

    Description

    This dataset is being used to evaluate PerfSim accuracy and speed against a real deployment in a Kubernetes cluster based on sfc-stress workloads.

  14. f

    Additional file 2 of Generating age-specific mortality statistics from...

    • springernature.figshare.com
    xlsx
    Updated Jun 10, 2023
    + more versions
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    Tim Adair; Alan D Lopez (2023). Additional file 2 of Generating age-specific mortality statistics from incomplete death registration data: two applications of the empirical completeness method [Dataset]. http://doi.org/10.6084/m9.figshare.14746585.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    figshare
    Authors
    Tim Adair; Alan D Lopez
    License

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

    Description

    Additional File 2. Demonstration of Equivalent deaths method (GBD standard life table) in Brazilian states, 2015.

  15. T

    European Union - Completeness Of Birth Registration

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 10, 2017
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    TRADING ECONOMICS (2017). European Union - Completeness Of Birth Registration [Dataset]. https://tradingeconomics.com/european-union/completeness-of-birth-registration-percent-wb-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jun 10, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    European Union
    Description

    Completeness of birth registration (%) in European Union was reported at 100 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. European Union - Completeness of birth registration - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

  16. a

    Rapid Transit and Bus Prediction Accuracy Data

    • hub.arcgis.com
    • gis.data.mass.gov
    Updated Feb 1, 2022
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    Massachusetts geoDOT (2022). Rapid Transit and Bus Prediction Accuracy Data [Dataset]. https://hub.arcgis.com/datasets/155ab68df00145cabddfb90377201b0e
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    Dataset updated
    Feb 1, 2022
    Dataset authored and provided by
    Massachusetts geoDOT
    Area covered
    Description

    This file contains the prediction accuracy for subway and bus. Prediction accuracy is determined by the number of accurate predictions vs the number of total predictions for each "bin" or timeframe. Data is not guaranteed to be complete for any line or date. There is a known gap in Orange Line data from 09/02/2022 to 09/16/2022.NameDescriptionData TypeExampleweeklyDate representing one week's worth of data. For both bus and subway, the week is labeled as a Friday and represents data from the previous Friday up till the Thursday the day before. (05/23/2025 represents data from 05/16/2025 to 05/22/2025.) The date is based on "service day", so "May 1" means May 1, 3:00am ET until May 2, 2:59am ET.Date05/23/2025modeEither "bus" for bus predictions, or "subway" for Red, Orange, Green-[B/C/D/E], Blue, and Mattapan predictions.Stringbusroute_idThe subway route the data is for. Our bus data provider does not have this data at a per-route level.StringGreen-Barrival_departureFor bus, whether the data is about the timing of an arrival at a bus stop, or the departure from that bus stop. Bus only supports "departure". Absent on subway data because subway uses a "blended" approach of departure predictions at terminals, and arrival predictions otherwise.StringdeparturebinThe bin a prediction belongs to based on how far in the future the predicted event is for. The options are "0-3 min", "3-6 min", "6-12 min", and "12-30 min".String0-3 minnum_predictionsThe count of predictions sampled that meet the criteria of the other fields.Integer50000num_accurate_predictionsOf the num_predictions, how many of them were considered accurate, where "accurate" means the predicted number of seconds was within a threshold of the actual number of seconds, based on the bin. For a given bin, the passing threshold is if a vehicle arrives: 0-3 min: 60 seconds early to 60 seconds late, 3-6 min: 90 seconds early to 120 seconds late, 6-12 min: 150 seconds early to 210 seconds late, 12:30 min: 240 seconds early to 360 seconds late.Integer30000MassDOT/MBTA shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data.

  17. Data from: Evaluating the Accuracy of Common Runoff Estimation Methods for...

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Nov 12, 2020
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    U.S. EPA Office of Research and Development (ORD) (2020). Evaluating the Accuracy of Common Runoff Estimation Methods for New Impervious Hot-Mix Asphalt [Dataset]. https://catalog.data.gov/dataset/evaluating-the-accuracy-of-common-runoff-estimation-methods-for-new-impervious-hot-mix-asp
    Explore at:
    Dataset updated
    Nov 12, 2020
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Description

    Excel workbook, First sheet is data dictionary. second sheet is the data representing the abstraction for events with short antecedent dry period (less than 24 hr). This dataset is associated with the following publication: Brown , R., and M. Borst. Evaluating the Accuracy of Common Runoff Estimation Methods for New Impervious Hot-Mix Asphalt. Journal of Sustainable Water in the Built Environment. American Society of Civil Engineers (ASCE), New York, NY, USA, online, (2015).

  18. d

    Altosight | AI Custom Web Scraping Data | 100% Global | Free Unlimited Data...

    • datarade.ai
    .json, .csv, .xls
    Updated Sep 7, 2024
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    Altosight (2024). Altosight | AI Custom Web Scraping Data | 100% Global | Free Unlimited Data Points | Bypassing All CAPTCHAs & Blocking Mechanisms | GDPR Compliant [Dataset]. https://datarade.ai/data-products/altosight-ai-custom-web-scraping-data-100-global-free-altosight
    Explore at:
    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Sep 7, 2024
    Dataset authored and provided by
    Altosight
    Area covered
    Paraguay, Tajikistan, Guatemala, Wallis and Futuna, Svalbard and Jan Mayen, Chile, Czech Republic, Singapore, Côte d'Ivoire, Greenland
    Description

    Altosight | AI Custom Web Scraping Data

    ✦ Altosight provides global web scraping data services with AI-powered technology that bypasses CAPTCHAs, blocking mechanisms, and handles dynamic content.

    We extract data from marketplaces like Amazon, aggregators, e-commerce, and real estate websites, ensuring comprehensive and accurate results.

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    ➤ Price Monitoring & Repricing Solutions

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    ➤ Marketplaces & Aggregators

    🔹 Crawl entire product categories and track best-sellers 🔹 Monitor position changes across categories 🔹 Identify which eRetailers sell specific brands and which SKUs for better market analysis

    ➤ Business Website Data

    🔹 Extract detailed company profiles, including financial statements, key personnel, industry reports, and market trends, enabling in-depth competitor and market analysis

    🔹 Collect customer reviews and ratings from business websites to analyze brand sentiment and product performance, helping businesses refine their strategies

    ➤ Domain Name Data

    🔹 Access comprehensive data, including domain registration details, ownership information, expiration dates, and contact information. Ideal for market research, brand monitoring, lead generation, and cybersecurity efforts

    ➤ Real Estate Data

    🔹 Access property listings, prices, and availability 🔹 Analyze trends and opportunities for investment or sales strategies

    ― Data Collection & Quality ―

    ► Publicly Sourced Data: Altosight collects web scraping data from publicly available websites, online platforms, and industry-specific aggregators

    ► AI-Powered Scraping: Our technology handles dynamic content, JavaScript-heavy sites, and pagination, ensuring complete data extraction

    ► High Data Quality: We clean and structure unstructured data, ensuring it is reliable, accurate, and delivered in formats such as API, CSV, JSON, and more

    ► Industry Coverage: We serve industries including e-commerce, real estate, travel, finance, and more. Our solution supports use cases like market research, competitive analysis, and business intelligence

    ► Bulk Data Extraction: We support large-scale data extraction from multiple websites, allowing you to gather millions of data points across industries in a single project

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    ― Why Choose Altosight? ―

    ✔ Unlimited Data Points: Altosight offers unlimited free attributes, meaning you can extract as many data points from a page as you need without extra charges

    ✔ Proprietary Anti-Blocking Technology: Altosight utilizes proprietary techniques to bypass blocking mechanisms, including CAPTCHAs, Cloudflare, and other obstacles. This ensures uninterrupted access to data, no matter how complex the target websites are

    ✔ Flexible Across Industries: Our crawlers easily adapt across industries, including e-commerce, real estate, finance, and more. We offer customized data solutions tailored to specific needs

    ✔ GDPR & CCPA Compliance: Your data is handled securely and ethically, ensuring compliance with GDPR, CCPA and other regulations

    ✔ No Setup or Infrastructure Costs: Start scraping without worrying about additional costs. We provide a hassle-free experience with fast project deployment

    ✔ Free Data Delivery Methods: Receive your data via API, CSV, JSON, or FTP at no extra charge. We ensure seamless integration with your systems

    ✔ Fast Support: Our team is always available via phone and email, resolving over 90% of support tickets within the same day

    ― Custom Projects & Real-Time Data ―

    ✦ Tailored Solutions: Every business has unique needs, which is why Altosight offers custom data projects. Contact us for a feasibility analysis, and we’ll design a solution that fits your goals

    ✦ Real-Time Data: Whether you need real-time data delivery or scheduled updates, we provide the flexibility to receive data when you need it. Track price changes, monitor product trends, or gather...

  19. Costa Rica CR: Completeness of Infant Death Reporting

    • ceicdata.com
    Updated Mar 1, 2018
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    CEICdata.com (2018). Costa Rica CR: Completeness of Infant Death Reporting [Dataset]. https://www.ceicdata.com/en/costa-rica/health-statistics/cr-completeness-of-infant-death-reporting
    Explore at:
    Dataset updated
    Mar 1, 2018
    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, 2006 - Dec 1, 2010
    Area covered
    Costa Rica
    Description

    Costa Rica CR: Completeness of Infant Death Reporting data was reported at 95.994 % in 2010. This records an increase from the previous number of 93.644 % for 2009. Costa Rica CR: Completeness of Infant Death Reporting data is updated yearly, averaging 93.198 % from Dec 2006 (Median) to 2010, with 4 observations. The data reached an all-time high of 95.994 % in 2010 and a record low of 92.340 % in 2008. Costa Rica CR: Completeness of Infant Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Social: Health Statistics. Completeness of infant death reporting is the number of infant deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of infant deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; ;

  20. f

    Description of the indicators available in SisLeish.

    • plos.figshare.com
    xls
    Updated Jun 18, 2023
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    Ana N. S. Maia-Elkhoury; Samantha Y. O. B. Valadas; Lia Puppim-Buzanovsky; Felipe Rocha; Manuel J. Sanchez-Vazquez (2023). Description of the indicators available in SisLeish. [Dataset]. http://doi.org/10.1371/journal.pntd.0005868.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 18, 2023
    Dataset provided by
    PLOS Neglected Tropical Diseases
    Authors
    Ana N. S. Maia-Elkhoury; Samantha Y. O. B. Valadas; Lia Puppim-Buzanovsky; Felipe Rocha; Manuel J. Sanchez-Vazquez
    License

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

    Description

    Description of the indicators available in SisLeish.

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CEICdata.com, Oman OM: Completeness of Total Death Reporting [Dataset]. https://www.ceicdata.com/en/oman/health-statistics/om-completeness-of-total-death-reporting
Organization logo

Oman OM: Completeness of Total Death Reporting

Explore at:
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, 2007 - Dec 1, 2009
Area covered
Oman
Description

Oman OM: Completeness of Total Death Reporting data was reported at 69.684 % in 2009. This records a decrease from the previous number of 74.821 % for 2008. Oman OM: Completeness of Total Death Reporting data is updated yearly, averaging 69.684 % from Dec 2007 (Median) to 2009, with 3 observations. The data reached an all-time high of 74.821 % in 2008 and a record low of 69.441 % in 2007. Oman OM: Completeness of Total Death Reporting data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Oman – Table OM.World Bank.WDI: Health Statistics. Completeness of total death reporting is the number of total deaths reported by national statistics authorities to the United Nations Statistics Division's Demography Yearbook divided by the number of total deaths estimated by the United Nations Population Division.; ; The United Nations Statistics Division's Population and Vital Statistics Report and the United Nations Population Division's World Population Prospects.; Weighted average;

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