100+ datasets found
  1. Business Email List | 61.9M+ Verified Business Leads

    • datacaptive.com
    Updated Feb 11, 2025
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    DataCaptive™ (2025). Business Email List | 61.9M+ Verified Business Leads [Dataset]. https://www.datacaptive.com/business-email-list/
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    Dataset updated
    Feb 11, 2025
    Dataset provided by
    DataCaptive
    Authors
    DataCaptive™
    Area covered
    Poland, Norway, Greece, Jordan, Spain, Switzerland, Netherlands, Ireland, United Kingdom, New Zealand
    Description

    Get a high-quality business email list to target potential clients and maximize returns per lead. Reach the intended inbox with personalized messages.

  2. R

    Wanted List Dataset

    • universe.roboflow.com
    zip
    Updated Oct 13, 2022
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    (2022). Wanted List Dataset [Dataset]. https://universe.roboflow.com/project-gjzmx/wanted-list
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    zipAvailable download formats
    Dataset updated
    Oct 13, 2022
    License

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

    Variables measured
    Wanted List Bounding Boxes
    Description

    Wanted List

    ## Overview
    
     Wanted List is a dataset for object detection tasks - it contains Wanted List annotations for 4,044 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  3. The IUCN Red List of Threatened Species

    • gbif.org
    Updated Mar 24, 2025
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    The IUCN Red List of Threatened Species [Dataset]. https://www.gbif.org/dataset/19491596-35ae-4a91-9a98-85cf505f1bd3
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    Dataset updated
    Mar 24, 2025
    License

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

    Description

    Established in 1964, the International Union for Conservation of Nature’s Red List of Threatened Species has evolved to become the world’s most comprehensive information source on the global extinction risk status of animal, fungus and plant species. The IUCN Red List is a critical indicator of the health of the world’s biodiversity. Far more than a list of species and their status, it is a powerful tool to inform and catalyse action for biodiversity conservation and policy change, critical to protecting the natural resources we need to survive. It provides information about range, population size, habitat and ecology, use and/or trade, threats, and conservation actions that will help inform necessary conservation decisions. The IUCN Red List is used by government agencies, wildlife departments, conservation-related non-governmental organisations (NGOs), natural resource planners, educational organisations, students, and the business community. The Red List process has become a massive enterprise involving the IUCN Global Species Program staff, partner organisations and experts in the IUCN Species Survival Commission and partner networks who compile the species information to make The IUCN Red List the indispensable product it is today.

  4. Data from: List of data journals

    • zenodo.org
    • data.niaid.nih.gov
    bin, csv, pdf
    Updated Jul 16, 2024
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    Maxi Kindling; Maxi Kindling; Dorothea Strecker; Dorothea Strecker (2024). List of data journals [Dataset]. http://doi.org/10.5281/zenodo.7082126
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    pdf, csv, binAvailable download formats
    Dataset updated
    Jul 16, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Maxi Kindling; Maxi Kindling; Dorothea Strecker; Dorothea Strecker
    License

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

    Description

    This document describes a dataset that aggregates information about 135 data journals.
    Data journals focus on the publication of data papers -- a specialized publication type describing datasets, their collection and reuse potential that is peer-reviewed, citable and indexed.
    This dataset includes a comprehensive list of data journals that was compiled by aggregating existing sources, as well as an overview of these sources.

    The list is continually updated on GitHub, where additional information on data journals (URLs of data journal homepages) is provided: https://github.com/MaxiKi/data-journals

  5. d

    Listing of All Businesses

    • catalog.data.gov
    • data.lacity.org
    • +2more
    Updated Mar 22, 2025
    + more versions
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    data.lacity.org (2025). Listing of All Businesses [Dataset]. https://catalog.data.gov/dataset/listing-of-all-businesses
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    Dataset updated
    Mar 22, 2025
    Dataset provided by
    data.lacity.org
    Description

    Listing of all (active and inactive) businesses registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007

  6. LAT Monitored Source List Light Curves

    • catalog.data.gov
    • data.nasa.gov
    • +3more
    Updated Dec 7, 2023
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    National Aeronautics and Space Administration (2023). LAT Monitored Source List Light Curves [Dataset]. https://catalog.data.gov/dataset/lat-monitored-source-list-light-curves
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    Dataset updated
    Dec 7, 2023
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    The LAT team monitors flux values for a number of bright sources and transient sources that have shown flares during the mission. (See up-to-date weekly reports on flaring sources at the Fermi-LAT Flare Advocate Blog.) As sources cross the monitoring flux threshold of 1x10-6 cm-2s-1, they are added to the monitored source list. (The initial flux threshold was 2x10-6 cm-2s-1, but this value was lowered in June 2009.) In addition to the light curves below, the flux values in several bands are available via Browse. This list will continue to grow as the mission progresses.

  7. R

    Parts List Dataset

    • universe.roboflow.com
    zip
    Updated Mar 18, 2025
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    SDS (2025). Parts List Dataset [Dataset]. https://universe.roboflow.com/sds-q1m1d/parts-list/dataset/2
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    zipAvailable download formats
    Dataset updated
    Mar 18, 2025
    Dataset authored and provided by
    SDS
    License

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

    Variables measured
    Detection 2K00484of Parts Bounding Boxes
    Description

    Parts List

    ## Overview
    
    Parts List is a dataset for object detection tasks - it contains Detection 2K00484of Parts annotations for 995 images.
    
    ## Getting Started
    
    You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
    
      ## License
    
      This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
    
  8. Sale-to-list price ratio of housing sales in the U.S. 2012-2022

    • statista.com
    Updated Jan 28, 2025
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    Statista (2025). Sale-to-list price ratio of housing sales in the U.S. 2012-2022 [Dataset]. https://www.statista.com/statistics/1242369/home-sale-to-list-price-ratio-usa/
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    Dataset updated
    Jan 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2012 - Dec 2022
    Area covered
    United States
    Description

    The average home in the U.S. sold for several percent below its asking price in December 2022, as a result of the housing market slowing. Just a few months before that, In the second quarter of 2022, the so-called sale-to-list price ratio went above 100. This reflected the high housing demand and the need of prospective home buyers to bid above the asking price. Housing demand - as measured in pending home sales - went up, as mortgage rates were historically low and plummeted once rates were increased.

  9. B

    LIST-S2: pre-computed deleteriousness of all possible mutations in human...

    • borealisdata.ca
    • open.library.ubc.ca
    Updated Apr 4, 2020
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    Nawar Malhis (2020). LIST-S2: pre-computed deleteriousness of all possible mutations in human (OX=9606) protein sequences [Dataset]. http://doi.org/10.5683/SP2/PM9TAB
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 4, 2020
    Dataset provided by
    Borealis
    Authors
    Nawar Malhis
    License

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

    Description

    LIST-S2 predicts the deleteriousness of amino acid mutations in protein sequences. Here we provide precomputed predictions of human protein sequences. Scores are in the range [0 .. 1], where lower scores indicate more benign and higher indicate deleteriousness. One can also visualize/download LIST-S2 scores for all possible mutation of a specific protein sequence identified by its UniProt accession number. https://precomputed.list-s2.msl.ubc.ca/ LIST-S2 2019_10 tabix files: Precomputed predictions of ~200,000 human protein sequences release 2019_10 identified by their UniParc protein ID (UPI). Columns: 1. UniParc: UniParc protein ID UPI 2. Position: sequence position start at 1. 3. rAA: Reference amino acid. 4. AAA: Allele amino acid. 5. LIST-S2: LIST-S2 score. Two files: 1. LIST-S2_Human_UniParc_2019_10.tsv.gz.tbi 2. LIST-S2_Human_UniParc_2019_10.tsv.gz, divided into 4 parts: LIST-S2_Human_UniParc_2019_10_part1 LIST-S2_Human_UniParc_2019_10_part2 LIST-S2_Human_UniParc_2019_10_part3 LIST-S2_Human_UniParc_2019_10_part4 To reassemble LIST-S2_Human_UniParc_2019_10.tsv.gz: mv LIST-S2_Human_UniParc_2019_10_part1 LIST-S2_Human_UniParc_2019_10.tsv.gz cat LIST-S2_Human_UniParc_2019_10_part2 >> LIST-S2_Human_UniParc_2019_10.tsv.gz cat LIST-S2_Human_UniParc_2019_10_part3 >> LIST-S2_Human_UniParc_2019_10.tsv.gz cat LIST-S2_Human_UniParc_2019_10_part4 >> LIST-S2_Human_UniParc_2019_10.tsv.gz LIST-S2_OX9606_2019_10: Precomputed predictions of ~200,000 human protein sequences release 2019_10 identified by their UniProt accession. Columns: 1. AC: Sequence id from the fasta header. 2. Pos: Amino acid position. 3. Ref: The reference amino acid. 4. Conservation: The average LIST-S2 deleteriousness score of all possible mutations at that position. 5. 20 columns one for each amino acid: The potential deleteriousness LIST-S2 score for mutating the reference amino acid to “this” amino acid. The data is divided into two files: LIST-S2_OX9606_2019_10_part1 LIST-S2_OX9606_2019_10_part2 To reassemble: mv LIST-S2_OX9606_2019_10_part1 OX9606.tar.gz cat LIST-S2_OX9606_2019_10_part2 >> OX9606.tar.gz LIST-S2_Genomic_Human_2019_10.tsv.gz: Precomputed predictions of ~60,000 human protein sequences release 2019_10 identified by their genomic positions. Columns: 1. Chromosome: chromosome id. 2. position_g: chromosome position 3. ref_n: reference nucleotide. 4. allele_n: allele nucleotide. 5. AC: UniProt accession. 6. UPI: UniParc protein ID. 7. position_aa: amino acid position. 8. ref_aa: reference amino acid. 9. allele_aa: allele amino acid. 10. LIST-S2: LIST-S2 score. LIST-SI_OX=9606 (2019-07-14): Precomputed predictions of ~115,000 human protein sequences identified by their UniProt accession followed by Ensembl ENST id. Columns: 1. AC: Sequence id from the fasta header. 2. Pos: Amino acid position. 3. Ref: The reference amino acid. 4. Conservation: The average LIST-S2 deleteriousness score of all possible mutations at that position. 5. 20 columns one for each amino acid: The potential deleteriousness LIST-S2 score for mutating the reference amino acid to “this” amino acid. The data is divided into two files: LIST-SI_OX=9606_P1.tar.gz and LIST-SI_OX=9606_P2.tar.gz.

  10. Number of candidates on organ waiting list in the U.S. by age group 2024

    • statista.com
    Updated Dec 10, 2024
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    Statista (2024). Number of candidates on organ waiting list in the U.S. by age group 2024 [Dataset]. https://www.statista.com/statistics/398516/number-of-us-candidates-on-organ-waiting-list-by-age-group/
    Explore at:
    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The age group with the largest number of individuals on the transplant waiting list in the U.S. as of December 8, 2024 was those aged 50-64 years. This age group had 43,960 patients waiting to receive transplants at that time. There is an extensive need for organ donations in the United States. Organ donations In the U.S. deceased donors can donate kidneys, liver, lungs, heart, pancreas and intestines. Living donors can donate one kidney, one lung or a portion of the liver, pancreas or intestine. Organs are donated mostly from middle-aged U.S. adults. Among all age groups, those aged 50 to 64 years had the highest number of organ donors in 2023. Waiting lists The number of organ donors in the U.S. has increased dramatically since 1988. Despite such a dramatic increase in the number of donors, there is still a great need among U.S. patients. As of the end of 2024, the organs with the most patients waiting for transplants in the U.S. were kidneys and livers. Over 90 thousand patients required a kidney at that time.

  11. U

    United States Avg Sale to List: Single-Family: Crossville, TN

    • ceicdata.com
    Updated Dec 15, 2024
    + more versions
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    CEICdata.com (2024). United States Avg Sale to List: Single-Family: Crossville, TN [Dataset]. https://www.ceicdata.com/en/united-states/average-sales-to-list-by-metropolitan-areas/avg-sale-to-list-singlefamily-crossville-tn
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    Dataset updated
    Dec 15, 2024
    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
    Aug 1, 2019 - Jul 1, 2020
    Area covered
    United States
    Description

    United States Avg Sale to List: Single-Family: Crossville, TN data was reported at 96.438 % in Jul 2020. This records an increase from the previous number of 96.203 % for Jun 2020. United States Avg Sale to List: Single-Family: Crossville, TN data is updated monthly, averaging 94.343 % from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 98.001 % in Apr 2020 and a record low of 88.264 % in Feb 2014. United States Avg Sale to List: Single-Family: Crossville, TN data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB050: Average Sales to List: by Metropolitan Areas.

  12. Industry revenue of “directory and mailing list publishers“ in California...

    • statista.com
    Updated Dec 21, 2023
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    Statista (2023). Industry revenue of “directory and mailing list publishers“ in California 2012-2024 [Dataset]. https://www.statista.com/forecasts/1204885/directory-and-mailing-list-publishers-revenue-in-california
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    Dataset updated
    Dec 21, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2012 - 2017
    Description

    This statistic shows the revenue of the industry “directory and mailing list publishers“ in California from 2012 to 2017, with a forecast to 2024. It is projected that the revenue of directory and mailing list publishers in California will amount to approximately 308,9 million U.S. Dollars by 2024.

  13. U

    United States Avg Sale to List: Multi-Family: Cape Coral, FL

    • ceicdata.com
    Updated Jul 7, 2020
    + more versions
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    CEICdata.com (2024). United States Avg Sale to List: Multi-Family: Cape Coral, FL [Dataset]. https://www.ceicdata.com/en/united-states/average-sales-to-list-by-metropolitan-areas/avg-sale-to-list-multifamily-cape-coral-fl
    Explore at:
    Dataset updated
    Jul 7, 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
    Aug 1, 2019 - Jul 1, 2020
    Area covered
    United States
    Description

    United States Avg Sale to List: Multi-Family: Cape Coral, FL data was reported at 96.498 % in Jul 2020. This records an increase from the previous number of 95.758 % for Jun 2020. United States Avg Sale to List: Multi-Family: Cape Coral, FL data is updated monthly, averaging 95.940 % from Jun 2015 (Median) to Jul 2020, with 62 observations. The data reached an all-time high of 98.417 % in Oct 2018 and a record low of 93.794 % in Dec 2016. United States Avg Sale to List: Multi-Family: Cape Coral, FL data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB050: Average Sales to List: by Metropolitan Areas.

  14. P

    International Union for Conservation of Nature Red List for Palau

    • pacificdata.org
    • pacific-data.sprep.org
    • +1more
    xlsx
    Updated Feb 15, 2022
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    OERC - Environmental Response and Coordination (2022). International Union for Conservation of Nature Red List for Palau [Dataset]. https://pacificdata.org/data/dataset/international-union-for-conservation-of-nature-red-list-for-pal9bcd5942-3a88-45ec-9745-723fc03c6e6d
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Feb 15, 2022
    Dataset provided by
    OERC - Environmental Response and Coordination
    License

    https://pacific-data.sprep.org/dataset/data-portal-license-agreements/resource/de2a56f5-a565-481a-8589-406dc40b5588https://pacific-data.sprep.org/dataset/data-portal-license-agreements/resource/de2a56f5-a565-481a-8589-406dc40b5588

    Area covered
    Palau
    Description

    Palau has not produced a definitive list of endangered species although a number of species have been accorded legal protection. All endemics are vulnerable due to their sole residence being a single remote archipelago. This dataset host the available records of red list for Palau as recorded by IUCN.

  15. Provider Suspended and Ineligible List (S&I List) - t3m8-vd24 - Archive...

    • healthdata.gov
    application/rdfxml +5
    Updated Jun 28, 2024
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    (2024). Provider Suspended and Ineligible List (S&I List) - t3m8-vd24 - Archive Repository [Dataset]. https://healthdata.gov/dataset/Provider-Suspended-and-Ineligible-List-S-I-List-t3/74n3-bvfd
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    application/rssxml, tsv, csv, xml, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Jun 28, 2024
    Description

    This dataset tracks the updates made on the dataset "Provider Suspended and Ineligible List (S&I List)" as a repository for previous versions of the data and metadata.

  16. d

    USA Email List | USA Email Address List | 100M+ Business Emails

    • datacaptive.com
    Updated Mar 9, 2023
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    DataCaptive™ (2023). USA Email List | USA Email Address List | 100M+ Business Emails [Dataset]. https://www.datacaptive.com/usa-email-list/
    Explore at:
    Dataset updated
    Mar 9, 2023
    Dataset authored and provided by
    DataCaptive™
    Area covered
    United States
    Description

    Empower your outreach strategy with our exclusive USA Email Address List, featuring 100M+ business emails for unparalleled connection and impact.

  17. a

    MassDEP 2018/2020 Integrated List of Waters (Feature Service)

    • hub.arcgis.com
    • geo-massdot.opendata.arcgis.com
    Updated Jan 26, 2024
    + more versions
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    MassGIS - Bureau of Geographic Information (2024). MassDEP 2018/2020 Integrated List of Waters (Feature Service) [Dataset]. https://hub.arcgis.com/maps/a75fdc32cb9b4f98a466f28fc491af5c
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    Dataset updated
    Jan 26, 2024
    Dataset authored and provided by
    MassGIS - Bureau of Geographic Information
    Area covered
    Description

    The MassDEP Division of Watershed Management (DWM), Watershed Planning Program’s (WPP) 2018/2020 Integrated List of Waters data layer provides EPA-approved water quality assessment and listing decisions for the 2018/2020 reporting cycle, as required by the Clean Water Act (CWA) under Sections 305(b), 314, and 303(d). The objective of the CWA is to restore and maintain the chemical, physical, and biological integrity of the Nation's waters. As one step toward meeting this goal each state must administer a program to monitor and assess the quality of its surface waters and provide periodic status reports to the U.S. Environmental Protection Agency (EPA).More details...Map service also available.

  18. C

    GWCA Business List

    • data.cityofchicago.org
    Updated Mar 25, 2025
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    City of Chicago (2025). GWCA Business List [Dataset]. https://data.cityofchicago.org/widgets/if2z-vr7c
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    kmz, xml, application/geo+json, application/rdfxml, csv, kml, tsv, application/rssxmlAvailable download formats
    Dataset updated
    Mar 25, 2025
    Authors
    City of Chicago
    Description

    This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.

    Data fields requiring description are detailed below.

    APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.

    LICENSE STATUS: 'AAI' means the license was issued.

    Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.

    Data Owner: Business Affairs and Consumer Protection

    Time Period: Current

    Frequency: Data is updated daily

  19. Global Construction Punch List Software Market Size By Deployment Type...

    • verifiedmarketresearch.com
    Updated Aug 17, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Construction Punch List Software Market Size By Deployment Type (Cloud-based, On-Premises), By Platform Accessibility (Mobile Application, Web-based Application), By Integration Capabilities (Integration With IBM (Building Information Modeling) Software, Integration with Project Management Software, Integration with Accounting Software), By Subscription (Monthly, Annual, One-time license), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/construction-punch-list-software-market/
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    Dataset updated
    Aug 17, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Construction Punch List Software Market size was valued at USD 560 Million in 2024 and is projected to reach USD 1076 Million by 2031, growing at a CAGR of 9% from 2024 to 2031.

    Global Construction Punch List Software Market Drivers

    The market drivers for the Construction Punch List Software Market can be influenced by various factors. These may include:

    Streamlining Project Management Procedures: By digitizing and centralizing punch list creation, management, and resolution, construction punch list software helps to streamline project management procedures. Improved collaboration among project managers, contractors, subcontractors, and other stakeholders leads to increased project productivity and efficiency.

    Enhanced Communication and Collaboration: Regardless of a project team member’s physical location, construction punch list software enables real-time communication and collaboration. During the construction process, it helps to cut down on delays, mistakes, and misunderstandings by providing a centralized platform for stakeholders to assign tasks, track progress, and communicate updates.

    Enhanced Accuracy and Accountability: Construction punch list software improves the accuracy and accountability of project documentation by digitizing the punch list creation and management process. By allowing stakeholders to record in-depth details about flaws, shortcomings, and necessary remedial measures, it guarantees that problems are dealt with promptly and thoroughly.

    Enhanced Compliance and Quality Assurance: By offering standardized workflows, checklists, and reporting tools, construction punch list software contributes to increased regulatory compliance and quality assurance. It makes it possible for project teams to follow building codes, industry standards, and contractual obligations; this lowers the possibility of legal conflicts, rework, and expensive delays.

    Mobile Accessibility and On-site Efficiency: A lot of construction punch list software packages provide mobile accessibility, enabling users to use smartphones or tablets to create, edit, and resolve punch list items straight from the construction site. This mobile feature reduces administrative overhead related to paper-based processes, expedites issue resolution, and increases on-site efficiency.

    Integration with Other Technologies: Punch list software for construction can be integrated with project management platforms, building information modeling (BIM) software, and construction management systems, among other technologies. Stakeholders can see punch list items in the context of the digital model thanks to integration with BIM, which improves decision-making and coordination throughout the project lifecycle.

    Demand for Sustainable Construction Practices: Green building and sustainability are becoming more and more important to the construction sector. By making it possible to identify and address safety, health, and environmental concerns during the construction process, construction punch list software can assist sustainable construction initiatives.

    Market Demand for Digital Transformation Solutions: With the construction sector undergoing a digital revolution, software solutions that automate manual processes, boost operational effectiveness, and improve project outcomes are becoming more and more in demand. This trend is supported by construction punch list software, which provides digital tools and features that expedite punch list management and enhance project delivery.

  20. T

    Angie's List | 借入資本

    • jp.tradingeconomics.com
    csv, excel, json, xml
    Updated Oct 30, 2021
    + more versions
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    TRADING ECONOMICS (2021). Angie's List | 借入資本 [Dataset]. https://jp.tradingeconomics.com/angi:us:loan-capital
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Oct 30, 2021
    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, 2000 - Mar 27, 2025
    Area covered
    United States
    Description

    Angie's List 借入資本 - 現在の値は、過去のデータ、予測、統計、チャートや経済カレンダー - Mar 2025.Data for Angie's List | 借入資本 including historical, tables and charts were last updated by Trading Economics this last March in 2025.

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DataCaptive™ (2025). Business Email List | 61.9M+ Verified Business Leads [Dataset]. https://www.datacaptive.com/business-email-list/
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Business Email List | 61.9M+ Verified Business Leads

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Dataset updated
Feb 11, 2025
Dataset provided by
DataCaptive
Authors
DataCaptive™
Area covered
Poland, Norway, Greece, Jordan, Spain, Switzerland, Netherlands, Ireland, United Kingdom, New Zealand
Description

Get a high-quality business email list to target potential clients and maximize returns per lead. Reach the intended inbox with personalized messages.

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