17 datasets found
  1. m

    Data from: Dataset for the electronic customer relationship management based...

    • data.mendeley.com
    Updated Feb 22, 2022
    + more versions
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    Bui Thanh Khoa (2022). Dataset for the electronic customer relationship management based on S-O-R model in electronic commerce [Dataset]. http://doi.org/10.17632/n9tdpdp45k.4
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    Dataset updated
    Feb 22, 2022
    Authors
    Bui Thanh Khoa
    License

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

    Description

    This dataset includes a data file (.csv), a questionnaire (.pdf), and a figure (.png). It contains 485 records and three research factors: electronic loyalty (3 items), perceived metal benefits (4 items), and hedonic value (4 items). Based on data analysis, there were positive impacts of perceived mental benefits and hedonic value on electronic loyalty, which confirmed the Stimulus–Organism–Response (SOR) model. Additional, the hedonic value is a mediator in the relationship between electronic loyalty and perceived mental benefits in electronic customer relationship management.

  2. E-commerce, customer relation management (CRM) and secure transactions by...

    • data.europa.eu
    Updated Nov 30, 2009
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    Eurostat (2009). E-commerce, customer relation management (CRM) and secure transactions by size class of enterprise [Dataset]. https://data.europa.eu/data/datasets/i9yvadmdw9xeyctv8zeswg?locale=en
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    Dataset updated
    Nov 30, 2009
    Dataset authored and provided by
    Eurostathttps://ec.europa.eu/eurostat
    Description

    The dataset "isoc_bde15dec" has been discontinued since 08/02/2024.

  3. R

    Crm Dataset

    • universe.roboflow.com
    zip
    Updated Jun 1, 2022
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    Giang Ha (2022). Crm Dataset [Dataset]. https://universe.roboflow.com/giang-ha/crm
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jun 1, 2022
    Dataset authored and provided by
    Giang Ha
    License

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

    Variables measured
    Coral Bounding Boxes
    Description

    CRM

    ## Overview
    
    CRM is a dataset for object detection tasks - it contains Coral annotations for 3,151 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).
    
  4. R

    Hts Crm Dataset

    • universe.roboflow.com
    zip
    Updated Aug 22, 2025
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    MLB (2025). Hts Crm Dataset [Dataset]. https://universe.roboflow.com/mlb-kfctw/hts-crm-91te3/model/4
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    zipAvailable download formats
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    MLB
    License

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

    Variables measured
    Objects Bounding Boxes
    Description

    Hts CRM

    ## Overview
    
    Hts CRM is a dataset for object detection tasks - it contains Objects annotations for 899 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).
    
  5. 3A Superstore (Market Orders Data-CRM)

    • kaggle.com
    Updated Sep 21, 2025
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    Cem Eragan (2025). 3A Superstore (Market Orders Data-CRM) [Dataset]. http://doi.org/10.34740/kaggle/dsv/13124483
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 21, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Cem Eragan
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    The dataset contains customer and order information from 3A Superstore, a fake retail chain located in Turkiye. It consists of 5 interconnected tables.

    This dataset includes: - 161 different superstore branches - 27,000 categorized supermarket items - 99,998 unique customers and addresses - 10,235,193 unique orders - 51,185,032 rows of order details and 230,323,422 sold products

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F22786112%2Fde7c23b2857d002bfbe9001f3a0cba96%2FScreenshot%202025-09-18%20at%2017.32.44.png?generation=1758295704110333&alt=media" alt="">

    Veri Türkiye konumunda olan 3A Superstore isimli hayali bir marketin müşteri ve sipariş bilgisini içermekte. Birbirine bağlı toplam 5 farklı tablo içermekte.

    Veri seti;

    • 161 farklı şube
    • 27.000 süpermarket ürünü
    • 99.998 tekil müşteri ve adres bilgisi
    • 10.235.193 tekil sipariş
    • 51.185.032 satır sipariş detayı ve 230.323.422 satılmış ürün içermekte
  6. R

    Crm Underwater Dataset

    • universe.roboflow.com
    zip
    Updated May 30, 2022
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    Giang Ha (2022). Crm Underwater Dataset [Dataset]. https://universe.roboflow.com/giang-ha/crm-underwater/dataset/5
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    zipAvailable download formats
    Dataset updated
    May 30, 2022
    Dataset authored and provided by
    Giang Ha
    License

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

    Variables measured
    Coral Fungus Bounding Boxes
    Description

    CRM Underwater

    ## Overview
    
    CRM Underwater is a dataset for object detection tasks - it contains Coral Fungus annotations for 2,304 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).
    
  7. p

    Spain Number Dataset

    • listtodata.com
    .csv, .xls, .txt
    Updated Jul 17, 2025
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    List to Data (2025). Spain Number Dataset [Dataset]. https://listtodata.com/spain-dataset
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    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 17, 2025
    Dataset authored and provided by
    List to Data
    License

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

    Time period covered
    Jan 1, 2025 - Dec 31, 2025
    Area covered
    Spain
    Variables measured
    phone numbers, Email Address, full name, Address, City, State, gender,age,income,ip address,
    Description

    Spain number dataset is an important contact number in the present day for SMS marketing. There are around 47.9 million people and our database includes all contacts of them. If you like to acquire rapid growth in the company, then this List To Data website is the suitable option for that. Moreover, it ensures you a 95% precision rate for those accurate contact libraries. Further, the Spain number dataset is a perfect solution for marketing in B2C platforms. From this dataset, you can obtain your regular and most reliable clients lead. The Spain number dataset is most suitable for company promotion by cold calls or text messages. That makes your firm well-known in business sectors by developing deals. Hence, accept it for a beneficial marketing process. Spain phone data creates many opportunities to earn from telemarketing. Furthermore, our List To Data is a famous website to promote brands and products across the nation. Mostly, the seller can have old clients with these faithful contacts. A businessman can further get many new clients as well. However, we send you the file in Excel or CSV structure for Spain phone data. Above all, this Spain phone data gives your business a new chance to develop it. Everyone from any area is now totally dependent on a phone set. Above all, our team gives new and active leads for businesses worldwide. Mostly, this database gives you an enormous benefit if you use our contacts appropriately. Spain phone number list is very beneficial for running the business in the long term. Mainly, it plays a vital role in business publicity to expand sales. The List To Data has all effective phone numbers for direct marketing. In other words, if you buy a Spain phone number list from us it gives you the chance to make more earnings. As a result, this Spain phone number list helps boost any business by directly connecting with the customers. Therefore, this brings the business a great amount of return on investment (ROI). Hence, you must check our database package to obtain more info. On the other hand, we follow the GDPR rules and laws strictly. To that end, you can download it in any CRM software anytime.

  8. R

    Teste_crm Dataset

    • universe.roboflow.com
    zip
    Updated Apr 10, 2024
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    Startup (2024). Teste_crm Dataset [Dataset]. https://universe.roboflow.com/startup-r32uu/teste_crm
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 10, 2024
    Dataset authored and provided by
    Startup
    License

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

    Variables measured
    Flaw Polygons
    Description

    Teste_CRM

    ## Overview
    
    Teste_CRM is a dataset for instance segmentation tasks - it contains Flaw annotations for 342 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).
    
  9. p

    Tunisia Number Dataset

    • listtodata.com
    .csv, .xls, .txt
    Updated Jul 17, 2025
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    List to Data (2025). Tunisia Number Dataset [Dataset]. https://listtodata.com/tunisia-dataset
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Jul 17, 2025
    Dataset authored and provided by
    List to Data
    License

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

    Time period covered
    Jan 1, 2025 - Dec 31, 2025
    Area covered
    Tunisia
    Variables measured
    phone numbers, Email Address, full name, Address, City, State, gender,age,income,ip address,
    Description

    Tunisia number dataset provides millions of powerful contacts for direct marketing. Our List To Data website gives an accurate and active phone numbers library. On the other hand, everybody can get all confirmed contact numbers from our site for any business to communicate with new clients. This Tunisia number dataset creates powerful options for promoting company sales. Likewise, this Tunisia number dataset is highly efficacious for business promotion through cold calls and text messages. For that reason, cell phone lead gives instant feedback from consumers and grows contracts. Our special team presents all number databases to you in CSV or Excel structure. However, anyone can download it in any CRM software without any risk. Tunisia phone data is a very helpful contact library for SMS and telemarketing. Mainly, the marketing tool plays a vital role in future business plans. Even, we prioritize security and privacy, so we strictly adhere to all the GDPR laws. In short, anyone can purchase this without any mistrust from the List To Data website. As a result, buy this contact number dataset for your benefit. Moreover, the Tunisia phone data helps in many ways to earn more money from this country. This country is very wealthy in all those business sectors, so you can buy this number package now. This website is an excellent place for its reputation to collect all authentic client mobile contact numbers. To that end, our skilled team is ready to assist you 24/7 in supplying your necessary leads. Tunisia phone number list makes your business more profitable in a couple of months. This country has the nominal GDP (US$53 billion) and the most vast by purchasing power parity (US$179 trillion). Moreover, it creates a big possibility to earn more from this place. Hence, you can get a consumer contact number lead from us to catch them easily through direct calls or SMS. Also, this Tunisia phone number list is far better for your business activities nationwide. Primarily, people can do the marketing with this enormous group of people. Actually, it will increase your profit rapidly and expand the return on investment [ROI]. Thus, as a businessman, anyone bears your needed B2C sales leads from our website at a cheap cost.

  10. d

    CarePrecise Authoritative Physician Database

    • datarade.ai
    .csv
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    CarePrecise, CarePrecise Authoritative Physician Database [Dataset]. https://datarade.ai/data-products/careprecise-authoritative-physician-database-careprecise
    Explore at:
    .csvAvailable download formats
    Dataset authored and provided by
    CarePrecise
    Area covered
    United States of America
    Description

    [IMPORTANT NOTE: Sample file posted on Datarade is not the complete dataset, as Datarade permits only a single CSV file. Visit https://www.careprecise.com/healthcare-provider-data-sample.htm for more complete samples.] The APD is the only physician database with this deep pool of data, available for immediate download in Microsoft Access format and CSV files, for use with spreadsheet, database or CRM software on Windows PC, Mac or Linux.:

    100% of HIPAA-covered U.S. MD and DO physicians Their practice groups, with group size Independent practice indicator Sole proprietor indicator Their hospital affiliations All reported specialties, including the primary Years in practice Medical school attended Phone and fax numbers Rural/Urban practice indicator Practice and Mailing addresses Gender Current LEIE sanctions License Medicare practice PAC ID C-suite and director-level contacts for physician groups and hospitals Exclusive CoLoCode™ linkage between physicians practicing together and their group NPI records

  11. Data from: Moluscos de la Colección de Referencia de Biología Marina de la...

    • gbif.org
    • portal.obis.org
    • +2more
    Updated May 23, 2025
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    John Alexander Salazar Hernandez; Edgardo Londoño-Cruz; Erika Montoya-Cadavid; Jaime Ricardo Cantera Kintz; John Alexander Salazar Hernandez; Edgardo Londoño-Cruz; Erika Montoya-Cadavid; Jaime Ricardo Cantera Kintz (2025). Moluscos de la Colección de Referencia de Biología Marina de la Universidad del Valle (CRM-UV) [Dataset]. http://doi.org/10.15472/hnrpqx
    Explore at:
    Dataset updated
    May 23, 2025
    Dataset provided by
    Global Biodiversity Information Facilityhttps://www.gbif.org/
    Universidad del Valle
    Authors
    John Alexander Salazar Hernandez; Edgardo Londoño-Cruz; Erika Montoya-Cadavid; Jaime Ricardo Cantera Kintz; John Alexander Salazar Hernandez; Edgardo Londoño-Cruz; Erika Montoya-Cadavid; Jaime Ricardo Cantera Kintz
    License

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

    Time period covered
    Mar 1, 1972 - Sep 29, 2022
    Area covered
    Description

    Este conjunto de datos hace parte de la Colección de Referencia de Biología Marina de la Universidad del Valle. Actualmente posee 6320 registros de crustáceos, de los cuales se han revisado y curado 2630 registros biológicos hasta el momento, correspondientes a 365 especies, que se encuentran repartidas en 3 clases (Bivalvia, Gastropoda y Polyplacophora). Los registros provienen casi que en su totalidad, de la región del Pacífico colombiano. Estos registros datan desde el año 1972 hasta el año 2022, en donde el Biólogo Jaime Ricardo Cantera Kintz fue quien inició con la dirección de los esfuerzos para conformar esta colección en los años 1970's. Esta colección de referencia se estableció formalmente ante el instituto Alexander Von Humboldt en el año 2002.

  12. B2B Contact Data for Recruiters | Human Resources Professionals Worldwide |...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). B2B Contact Data for Recruiters | Human Resources Professionals Worldwide | Verified Contact Data with Work Emails | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/b2b-contact-data-for-recruiters-human-resources-professiona-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Bosnia and Herzegovina, Nigeria, New Zealand, Barbados, Austria, Tanzania, Saint Pierre and Miquelon, Puerto Rico, Anguilla, Lebanon
    Description

    Success.ai’s B2B Contact Data for Human Resources Professionals Worldwide empowers businesses to connect with HR leaders across the globe. With access to over 170 million verified professional profiles, this dataset includes critical contact information for key HR decision-makers in various industries. Whether you’re targeting HR directors, talent acquisition specialists, or employee relations managers, Success.ai ensures accurate and effective outreach.

    Why Choose Success.ai’s HR Professionals Data?

    1. Comprehensive Contact Information:
    2. Access verified work emails, direct phone numbers, and LinkedIn profiles for HR leaders worldwide.
    3. Data accuracy is backed by AI validation to ensure 99% reliability.

    4. Global Reach Across HR Functions:

    5. Includes profiles of HR directors, recruiters, payroll specialists, and training managers.

    6. Covers regions such as North America, Europe, Asia-Pacific, South America, and the Middle East.

    7. Continuously Updated Datasets:

    8. Real-time updates provide the latest information about HR professionals in decision-making roles.

    9. Ethical and Compliant:

    10. Adheres to GDPR, CCPA, and other global privacy regulations for ethical use of data.

    Data Highlights: - 170M+ Verified Professional Profiles: Includes HR professionals from diverse industries. - 50M Work Emails: Verified and AI-validated for seamless communication. - 30M Company Profiles: Rich insights to support detailed targeting. - 700M Global Professional Profiles: Enriched data for broad business objectives.

    Key Features of the Dataset:

    • HR Decision-Maker Profiles: Identify and connect with HR professionals at all levels, including C-suite HR leaders.
    • Advanced Filters for Precision Targeting: Filter by industry, company size, location, and specific HR roles for precise results.
    • AI-Driven Enrichment: Profiles enriched with actionable data for personalized engagement.

    Strategic Use Cases:

    1. Recruitment Solutions and HR Services:
    2. Offer your HR technology, software, or services directly to decision-makers.
    3. Build relationships with professionals managing recruitment, payroll, or employee engagement.

    4. Corporate Training and Development:

    5. Reach training managers to promote learning solutions, workshops, and skill-building programs.

    6. Showcase personalized employee development initiatives.

    7. Targeted Marketing Campaigns:

    8. Design campaigns to promote HR-focused tools, resources, or consultancy services.

    9. Leverage verified contact data for higher engagement and conversions.

    10. HR Tech Solutions:

    11. Present HR software, automation tools, or cloud solutions to relevant decision-makers.

    12. Target professionals managing HR digital transformation.

    Why Choose Success.ai?

    1. Best Price Guarantee: Enjoy premium-quality datasets at competitive pricing.
    2. Seamless Integration: Integrate data into your CRM using APIs or download datasets in preferred formats.
    3. Data Accuracy with AI Validation: Confidence in 99% accuracy for all profiles included in the dataset.
    4. Customizable and Scalable Solutions: Tailor data to your specific industry or HR role requirements.

    APIs for Enhanced Functionality

    1. Data Enrichment API: Enrich existing records with verified HR contact data.
    2. Lead Generation API: Automate lead generation for HR-specific campaigns and initiatives.

    Leverage B2B Contact Data for Human Resources Professionals Worldwide to connect with HR leaders and decision-makers in your target market. Success.ai offers verified work emails, phone numbers, and continuously updated profiles to ensure effective outreach and impactful communication.

    With AI-validated accuracy and a Best Price Guarantee, Success.ai provides the ultimate solution for accessing and engaging global HR professionals. Contact us now to elevate your business strategy with precise and reliable data!

    No one beats us on price. Period.

  13. f

    Improve Detroit Issues

    • data.ferndalemi.gov
    • detroitdata.org
    Updated May 1, 2025
    + more versions
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    City of Detroit (2025). Improve Detroit Issues [Dataset]. https://data.ferndalemi.gov/datasets/detroitmi::improve-detroit-issues/api
    Explore at:
    Dataset updated
    May 1, 2025
    Dataset authored and provided by
    City of Detroit
    Area covered
    Description

    Issues from the Improve Detroit application. Detroiters use Improve Detroit to submit non-emergency service requests to the City and to check the status of non-emergency requests such as potholes, graffiti and damaged street signs. Issues are submitted through the Improve Detroit mobile app or the website. Improve Detroit uses the SeeClickFix CRM system from CivicPlus.Each row in the dataset represents a recorded issue, and includes information such as the type of issue reported, a brief description, issue status, and when an issue was opened, acknowledged, and closed. Links to a SeeClickFix webpage with an issue summary are also included. City of Detroit departments that use Improve Detroit are: DWSD, DPD, GSD, BSEED, DPW, PLA, PDD, Demolition, CRIO and DDOT. DoIT acts as system administrators.Click here for the Analytics Hub visualization of Improve Detroit Issues.NOTE: This dataset may not be downloadable through the Open Data Portal. The complete dataset, updated daily, is available to download in csv format.

  14. a

    Fish Counting Sites

    • fisheries-map-gallery-crm.hub.arcgis.com
    Updated Jul 2, 2020
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    Coastal Resource Mapping Ltd (2020). Fish Counting Sites [Dataset]. https://fisheries-map-gallery-crm.hub.arcgis.com/datasets/fish-counting-sites
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    Dataset updated
    Jul 2, 2020
    Dataset authored and provided by
    Coastal Resource Mapping Ltd
    Area covered
    Description

    Locations of Pacific salmon-bearing streams that are subject to escapement surveys. Most often, the location is at the mouth of the waterbody, as defined in the Provincial Freshwater Atlas Stream Network dataset:https://catalogue.data.gov.bc.ca/dataset/freshwater-atlas-stream-networkThe GFE (geofeature) ID can be used to query the Salmon Escapement Database (NuSEDS-New Salmon Escapement Database System):https://open.canada.ca/data/en/dataset/c48669a3-045b-400d-b730-48aafe8c5ee6Note: this dataset is current as of January 2022, but may contain errors. The locations of some counting sites are currently under review and are subject to change.To view and download the authoritative Pacific Salmon Conservation Units, Sites & Status datasets, go to: https://open.canada.ca/data/en/dataset/1ac00a39-4770-443d-8a6b-9656c06df6a3From Open Data:Conservation Unit (CU) counting sites:Salmon spawner enumeration data in the Pacific Region is stored and managed in the New Salmon Escapement Database (NuSEDS). The term “escapement” is used to refer to the group of mature salmon that have ‘escaped’ from various sources of exploitation, and returned to freshwater to spawn and reproduce. This data is assigned to a “Counting Site”, which may be a complete watercourse with a marine terminus, a tributary to a larger watercourse, or a defined reach within a watercourse that may or may not encompass the entire population but represents an index of the abundance of that population.

  15. a

    SARA Critical Habitat: Killer Whale

    • fisheries-map-gallery-crm.hub.arcgis.com
    Updated May 11, 2020
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    Coastal Resource Mapping Ltd (2020). SARA Critical Habitat: Killer Whale [Dataset]. https://fisheries-map-gallery-crm.hub.arcgis.com/items/aa11b31fc0e74f1ba88b74dea7944fa7
    Explore at:
    Dataset updated
    May 11, 2020
    Dataset authored and provided by
    Coastal Resource Mapping Ltd
    Area covered
    Description

    *Filtered view to show only Killer Whale Critical HabitatCritical habitats were assembled by SARA regional biologists and recovery teams.They are designed to support the protection and recovery of species listed as Extirpated, Endangered or Threatened under the Species at Risk Act. They are also described and displayed in species’ Recovery Documents and Action Plans. Please note: there are different types of Critical Habitat descriptors. This dataset uses a "parcel" approach that delineates an area or extent in which the species may be found. Descriptors (such as bounding box coordinates are not included in this dataset).Learn more or download this dataset from the Government of Canada's Open data portal.

  16. U.S. Coastal Relief Model Vol.1- Northeast Atlantic

    • ncei.noaa.gov
    • datasets.ai
    • +2more
    html, nc
    Updated Jan 1, 1999
    + more versions
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    NOAA National Geophysical Data Center (1999). U.S. Coastal Relief Model Vol.1- Northeast Atlantic [Dataset]. https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.ngdc.mgg.dem:713
    Explore at:
    nc, htmlAvailable download formats
    Dataset updated
    Jan 1, 1999
    Dataset provided by
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA National Geophysical Data Center
    Time period covered
    Jan 1, 1999 - Present
    Area covered
    Description

    NGDC's U.S. Coastal Relief Model (CRM) provides the first comprehensive view of the U.S. coastal zone integrating offshore bathymetry with land topography into a seamless representation of the coast. The CRM spans the U.S. East and West Coasts, the northern coast of the Gulf of Mexico, Puerto Rico, and Hawaii, reaching out to, and in places even beyond, the continental slope. Bathymetric and topographic data sources include: NGDC's NOS hydrographic surveys, multibeam bathymetry, and trackline bathymetry; the U.S. Geological Survey (USGS); and other federal government agencies and academic institutions. Bathymetric contours from the International Bathymetric Chart of the Caribbean Sea and the Gulf of Mexico project were also used. Digital elevation models (DEMs) of the Great Lakes, Southern Alaska, and high-resolution DEMs of U.S. coastal communities and territories are also available.

  17. Data for "Stable climate simulations using a realistic GCM with neural...

    • zenodo.org
    application/gzip, bin
    Updated Nov 1, 2021
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    Xin Wang; Xin Wang; Yilun Han; Yilun Han (2021). Data for "Stable climate simulations using a realistic GCM with neural network parameterizations for atmospheric moist physics and radiation processes" [Dataset]. http://doi.org/10.5281/zenodo.5625616
    Explore at:
    application/gzip, binAvailable download formats
    Dataset updated
    Nov 1, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Xin Wang; Xin Wang; Yilun Han; Yilun Han
    License

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

    Description

    This is sampling data of "Stable climate simulations using a realistic GCM with neural network parameterizations for atmospheric moist physics and radiation processes".

    'qv_nn_in' for the large scale specific humidity, [kg/kg]
    'T_nn_in' for the large scale temperature, [K]
    'dqvls_nn_in' for the large scale moisture advection, [kg/kg/s]
    'dTls_nn_in' for the large scale moisture advection, [K/s]
    'qtend_check' for the moistening rate by CRM, [kg/kg/s]
    'stend_check' for the heating rate by CRM, [K/s]
    'SOLS' for direct shorwave solar radiation down to surface, [W/m2]
    'SOLSD' for diffusive shortwave solar radiation down to surface, [W/m2]
    'SOLL' for direct near infrared solar radiation down to surface, [W/m2]
    'SOLLD' for diffusive near infrared solar radiation down to surface, [W/m2]
    'SOLIN' for insolation at model top, [W/m2]
    'FSNS' for net shortwave radiation at model surface, [W/m2]
    'FSNT' for net shortwave radiation at model top, [W/m2]
    'FLNS' for net longwave radiation at model surface, [W/m2]
    'FLNT' for net longwave radiation at model top, [W/m2]
    'SPPS' for surface pressure, [Pa]

    To download the full dataset of the SPCAM simulation in 1998. Please click the dropbox link: https://www.dropbox.com/s/p841v1tw00rokdy/SPCAM_VAR_1998.tar.gz?dl=0

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Bui Thanh Khoa (2022). Dataset for the electronic customer relationship management based on S-O-R model in electronic commerce [Dataset]. http://doi.org/10.17632/n9tdpdp45k.4

Data from: Dataset for the electronic customer relationship management based on S-O-R model in electronic commerce

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Dataset updated
Feb 22, 2022
Authors
Bui Thanh Khoa
License

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

Description

This dataset includes a data file (.csv), a questionnaire (.pdf), and a figure (.png). It contains 485 records and three research factors: electronic loyalty (3 items), perceived metal benefits (4 items), and hedonic value (4 items). Based on data analysis, there were positive impacts of perceived mental benefits and hedonic value on electronic loyalty, which confirmed the Stimulus–Organism–Response (SOR) model. Additional, the hedonic value is a mediator in the relationship between electronic loyalty and perceived mental benefits in electronic customer relationship management.

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