US Healthcare NPI Data is a comprehensive resource offering detailed information on health providers registered in the United States.

Dataset Highlights:

• NPI Numbers: Unique identification numbers for health providers.
• Contact Details: Includes addresses and phone numbers.
• State License Numbers: State-specific licensing information.
• Additional Identifiers: Other identifiers related to the providers.
• Business Names: Names of the provider’s business entities.
• Taxonomies: Classification of provider types and specialties.

Taxonomy Data:

• Includes codes, groupings, and classifications.
• Facilitates detailed analysis and categorization of providers.

Data Updates:

• Weekly Delta Changes: Ensures the dataset is current with the latest changes.
• Monthly Full Refresh: Comprehensive update to maintain accuracy.

Use Cases:

• Market Analysis: Understand the distribution and types of healthcare providers across the US. Analyze market trends and identify potential gaps in healthcare services.
• Outreach: Create targeted marketing campaigns to reach specific types of healthcare providers. Use contact details for direct outreach and engagement with providers.
• Research: Conduct in-depth research on healthcare providers and their specialties. Analyze provider attributes to support academic or commercial research projects.
• Compliance and Verification: Verify provider credentials and compliance with state licensing requirements. Ensure accurate provider information for regulatory and compliance purposes.

Data Quality and Reliability:

• The dataset is meticulously curated to ensure high quality and reliability. Regular updates, both weekly and monthly, ensure that users have access to the most current information. The comprehensive nature of the data, combined with its regular updates, makes it a valuable tool for a wide range of applications in the healthcare sector.

Access and Integration: - CSV Format: The dataset is provided in CSV format, making it easy to integrate with various data analysis tools and platforms. - Ease of Use: The structured format of the data ensures that it can be easily imported, analyzed, and utilized for various applications without extensive preprocessing.

Ideal for:

• Healthcare Professionals: Physicians, nurses, and other healthcare providers who need to verify information about their peers.
• Analysts: Data analysts and business analysts who require detailed and accurate healthcare provider data for their projects.
• Businesses: Companies in the healthcare sector looking to understand market dynamics and reach out to providers.
• Researchers: Academic and commercial researchers conducting studies on healthcare providers and services.

Why Choose This Dataset?

• Comprehensive Coverage: Detailed information on millions of healthcare providers across the US.
• Regular Updates: Weekly and monthly updates ensure that the data remains current and reliable.
• Ease of Integration: Provided in a user-friendly CSV format for easy integration with your existing systems.
• Versatility: Suitable for a wide range of applications, from market analysis to compliance and research.

By leveraging the US Healthcare NPI & Taxonomy Data, users can gain valuable insights into the healthcare landscape, enhance their outreach efforts, and conduct detailed research with confidence in the accuracy and comprehensiveness of the data.

Summary:

• This dataset is an invaluable resource for anyone needing detailed and up-to-date information on US healthcare providers. Whether for market analysis, research, outreach, or compliance, the US Healthcare NPI & Taxonomy Data offers the detailed, reliable information needed to achieve your goals.

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

Comprehensive dataset containing 11 verified Portal locations in United States with complete contact information, ratings, reviews, and location data.

This map shows the access to mental health providers in every county and state in the United States according to the 2024 County Health Rankings & Roadmaps data for counties, states, and the nation. It translates the numbers to explain how many additional mental health providers are needed in each county and state. According to the data, in the United States overall there are 319 people per mental health provider in the U.S. The maps clearly illustrate that access to mental health providers varies widely across the country.The data comes from this County Health Rankings 2024 layer. An updated layer is usually published each year, which allows comparisons from year to year. This map contains layers for 2024 and also for 2022 as a comparison. County Health Rankings & Roadmaps (CHR&R), a program of the University of Wisconsin Population Health Institute with support provided by the Robert Wood Johnson Foundation, draws attention to why there are differences in health within and across communities by measuring the health of nearly all counties in the nation. This map's layers contain 2024 CHR&R data for nation, state, and county levels. The CHR&R Annual Data Release is compiled using county-level measures from a variety of national and state data sources. CHR&R provides a snapshot of the health of nearly every county in the nation. A wide range of factors influence how long and how well we live, including: opportunities for education, income, safe housing and the right to shape policies and practices that impact our lives and futures. Health Outcomes tell us how long people live on average within a community, and how people experience physical and mental health in a community. Health Factors represent the things we can improve to support longer and healthier lives. They are indicators of the future health of our communities. Some example measures are:Life ExpectancyAccess to Exercise OpportunitiesUninsuredFlu VaccinationsChildren in PovertySchool Funding AdequacySevere Housing Cost BurdenBroadband AccessTo see a full list of variables, definitions and descriptions, explore the Fields information by clicking the Data tab here in the Item Details of this layer. For full documentation, visit the Measures page on the CHR&R website. Notable changes in the 2024 CHR&R Annual Data Release:Measures of birth and death now provide more detailed race categories including a separate category for ‘Native Hawaiian or Other Pacific Islander’ and a ‘Two or more races’ category where possible. Find more information on the CHR&R website.Ranks are no longer calculated nor included in the dataset. CHR&R introduced a new graphic to the County Health Snapshots on their website that shows how a county fares relative to other counties in a state and nation. Data Processing:County Health Rankings data and metadata were prepared and formatted for Living Atlas use by the CHR&R team. 2021 U.S. boundaries are used in this dataset for a total of 3,143 counties. Analytic data files can be downloaded from the CHR&R website.

Comprehensive dataset containing 21 verified El Portal locations in United States with complete contact information, ratings, reviews, and location data.

This dataset, “AquaMatch Dissolved Organic Carbon Data from Water Quality Portal ~1970-2024”, is a component of a forthcoming update to AquaSat (Ross et al., 2019), AquaSat version 2 (“V2”). The overarching purpose of AquaSat V2 is to emphasize the individual parts of the AquaSat pipeline that make-up the matchups between satellite and in-situ measurements. As such, we have greatly expanded and improved upon the AquaSat dissolved organic carbon dataset in two ways: First, we have incorporated additional recent in situ data beyond what was available at the publication of AquaSat. Second, we have created a data quality tiering system to provide end-users with more guidance on data usage. In this schema we have three tiers: restrictive data that are verifiably self-similar across organizations and time-periods and can be considered highly reliable; narrowed data that we have good reason to believe are self-similar, but for which we cannot verify full compatibility across data providers; and inclusive data, which are assumed to be reliable and are harmonized to our best ability given the information available from the data provider. We have also added flag columns to help users understand complexities of the available depth and field sampling data. This dataset is a derived data product created using records downloaded from the Water Quality Portal (WQP) spanning January 5, 1970, to June 27, 2024. The WQP is a data warehouse for water-related data measured or observed within the United States and US territories managed by the Environmental Protection Agency, United States Geological Survey, and the National Water Quality Monitoring Council. The dataset does not contain remote sensing matchups but can be paired with Landsat surface reflectances using the pipeline presented in Ross et al. (2019). Ross, M. R. V., Topp, S. N., Appling, A. P., Yang, X., Kuhn, C., Butman, D. et al. (2019). AquaSat: A data set to enable remote sensing of water quality for inland waters. Water Resources Research, 55, 10012–10025. https://doi.org/10.1029/2019WR024883

Comprehensive dataset containing 1 verified Portal locations in Massachusetts, United States with complete contact information, ratings, reviews, and location data.

A good DATA is crucial for any business or organization to grow the network. This is because all relevant details about the company and user are stored in the database. Your companies have benefited from using our email database to extract their prospect's details.

It is a well-known fact that LinkedIn gives you the opportunity to expand your business network. You can easily connect with your prospects, directly or through mutual connections, by using search keywords related to their name, company, profile, address, etc. However, we're a leading data provider, with us you do not need to do such a thing. Our Professional's email database contains all the necessary business information from your prospects. There are several ways to access them (especially email addresses and phone numbers).

With our service, you can reach over 69 million records in 200+ countries. Our database is well organized and keeps information easily accessible, so you can use it. Easily increase your sales with reliable LinkedIn data that connects you directly to your goal, here we have worked hard to supply quality, reliable, sustainable email databases.

This dataset, “AquaMatch Chlorophyll a Data from Water Quality Portal ~1970-2024”, is a component of a forthcoming update to AquaSat (Ross et al., 2019), AquaSat version 2 (“v2”). The overarching purpose of AquaSat V2 is to emphasize the individual parts of the AquaSat pipeline that make-up the matchups between satellite and in-situ measurements. As such, we have greatly expanded and improved upon the AquaSat chlorophyll a dataset in two ways: First, we have incorporated additional recent in situ data beyond what was available at the publication of AquaSat. Second, we have created a data quality tiering system to provide end-users with more guidance on data usage. In this schema we have three tiers: restrictive data that are verifiably self-similar across organizations and time-periods and can be considered highly reliable; narrowed data that we have good reason to believe are self-similar, but for which we can not verify full compatibility across data providers; and inclusive data, which are assumed to be reliable and are harmonized to our best ability given the information available from the data provider. We have also added flag columns to help users understand complexities of the available depth and field sampling data. This dataset is a derived data product created using records downloaded from the Water Quality Portal (WQP) spanning January 6, 1970, to June 20, 2024. The WQP is a data warehouse for water-related data measured or observed within the United States and US Territories managed by the Environmental Protection Agency, United States Geological Survey, and the National Water Quality Monitoring Council. The dataset does not contain remote sensing matchups but can be paired with Landsat surface reflectances using the pipeline presented in Ross et al. (2019). Ross, M. R. V., Topp, S. N., Appling, A. P., Yang, X., Kuhn, C., Butman, D. et al. (2019). AquaSat: A data set to enable remote sensing of water quality for inland waters. Water Resources Research, 55, 10012–10025. https://doi.org/10.1029/2019WR024883

Financial data service providers offer financial market data and related services, primarily real-time feeds, portfolio analytics, research, pricing and valuation data, to financial institutions, traders and investors. Companies aggregate data and content from stock exchange feeds, broker and dealer desks and regulatory filings to distribute financial news and business information to the investment community. Recent globalization of the world capital market has benefited the financial sector and increased trading speed. Businesses rely on real-time data more than ever to help them make informed decisions. When considering a data service provider, an easy-to-use interface that shows customized, relevant information is vital for clients. During times of economic uncertainty, this information becomes more crucial than ever. Clients want information as soon and as frequently as possible, causing providers to prioritize efficiency and delivery. This was evident during the pandemic, the high interest rate environment in the latter part of the period and as the Fed cuts rates in 2024. Increased automation has helped industry players process large volumes of financial data, reducing analysis and reporting times. In addition, automation has reduced operational costs and reduced human data errors. These trends have resulted in growing revenue, which has risen at a CAGR of 3.2% to $21.9 billion over the past five years, including a 3.5% uptick in 2024 alone. Corporate profit will continue to expand as inflationary concerns begin to wane slowly. This will lead many companies to take on new clients as financial data helps them gain insight into operating their business amid ongoing trends and economic shakeups. With technology constantly advancing, service providers will continue investing in research and development to improve their products and services and best serve their clients. As technological advances continue, smaller players will be able to better compete with larger industry players. While this may lead to new companies joining the industry, larger providers will resume consolidation activity to expand their customer base. Overall, revenue is expected to swell at a CAGR of 2.7% to $25.0 billion by the end of 2029.

United States Sold to End Users: Switched Access Lines: Internet Also (IA) data was reported at 793.000 Number in Dec 2023. This records a decrease from the previous number of 812.000 Number for Jun 2023. United States Sold to End Users: Switched Access Lines: Internet Also (IA) data is updated semiannually, averaging 889.000 Number from Jun 2014 (Median) to Dec 2023, with 20 observations. The data reached an all-time high of 919.000 Number in Jun 2016 and a record low of 793.000 Number in Dec 2023. United States Sold to End Users: Switched Access Lines: Internet Also (IA) data remains active status in CEIC and is reported by Federal Communications Commission. The data is categorized under Global Database’s United States – Table US.TB010: Number of Mobile Voice Subscriptions Providers.

United States WR: Retail Switched Access Lines (RS) data was reported at 865.000 Number in Dec 2023. This records a decrease from the previous number of 882.000 Number for Jun 2023. United States WR: Retail Switched Access Lines (RS) data is updated semiannually, averaging 984.500 Number from Jun 2014 (Median) to Dec 2023, with 20 observations. The data reached an all-time high of 1,039.000 Number in Dec 2014 and a record low of 865.000 Number in Dec 2023. United States WR: Retail Switched Access Lines (RS) data remains active status in CEIC and is reported by Federal Communications Commission. The data is categorized under Global Database’s United States – Table US.TB010: Number of Mobile Voice Subscriptions Providers.

This dataset contains measures of broadband internet access and usage per United States ZIP code tabulation area (ZCTA) in 2014 through 2018. The data is derived primarily from internet service providers’ Form 477 reports to the Federal Communications Commission. Key variables include the average upload and download speed of fixed broadband connections, the number of internet service providers, and the number of households with broadband.

United States AK: WR: Retail Switched Access Lines (RS) data was reported at 18.000 Number in Dec 2017. This records an increase from the previous number of 17.000 Number for Jun 2017. United States AK: WR: Retail Switched Access Lines (RS) data is updated semiannually, averaging 17.500 Number from Jun 2014 (Median) to Dec 2017, with 8 observations. The data reached an all-time high of 19.000 Number in Dec 2014 and a record low of 17.000 Number in Jun 2017. United States AK: WR: Retail Switched Access Lines (RS) data remains active status in CEIC and is reported by Federal Communications Commission. The data is categorized under Global Database’s United States – Table US.TB011: Number of Mobile Voice Subscriptions Providers: By State: Far East Region.

Comprehensive dataset containing 73 verified Access to Money locations in United States with complete contact information, ratings, reviews, and location data.

Market Size statistics on the Financial Data Service Providers industry in the US

The U.S. Interagency Elevation Inventory (USIEI) displays high-accuracy topographic and bathymetric data for the United States and its territories. The project is a collaborative effort between the National Oceanic and Atmospheric Administration, the U.S. Geological Survey, the Federal Emergency Management Agency, the U.S. Department of Agriculture - Natural Resources Conservation Service and U.S. Forest Service, the National Park Service, and the U.S. Army Corps of Engineers. This resource is a comprehensive, nationwide listing of known high-accuracy topographic data, including lidar and IfSAR, and bathymetric data, including NOAA hydrographic surveys, multibeam data, and bathymetric lidar. This zip file contains the attribute information and footprints about the data sets that are displayed in the Topographic Lidar, Topobathy Shoreline Lidar, IfSAR Data, and Bathymetric Lidar layers in the USIEI viewer. This does not include the elevation data itself. The data are provided in Esri file geodatabase format (gdb) and in the open format of OGC GeoPackage (gpkg). The data is also available via this map service: https://coast.noaa.gov/arcgis/rest/services/USInteragencyElevationInventory/USIEIv2/MapServer. The data is updated quarterly. The information provided for each elevation data set includes many attributes such as vertical accuracy, point spacing, and date of collection. A direct link to access the data or information about the contact organization is also available through the inventory. The footprints in this data set are generalized to represent the coverage of the collection. If the exact data coverage is needed, please contact the data provider for an authoritative footprint. The fields in the gdb and gpkg are in four tables. The fields in each table are listed in the Entity Attribute Overview field.

This data package was created 2025-07-25 13:47:37 by NPSTORET and includes selected project, location, and result data. Data contained in the Pacific Island Network NPSTORET back-end file (PACN_NPSTORET_BE_20250725.ACCDB) were filtered to include: Station: - Include Trip QC And All Station Visit Results Value Status: - Accepted or Certified (exported as Final) or Final The data package is organized into five data tables: - Projects.csv - describes the purpose and background of the monitoring efforts - Locations.csv - documents the attributes of the monitoring locations/stations - Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping - HUC.csv - enumerates the domain of allowed values for 8-digit and 12-digit hydrologic unit codes utilized by the Locations data table - Characteristics.csv - enumerates the domain of characteristics available in NPSTORET to identify what was sampled, measured or observed in Results Period of record for filtered data is 2007-04-03 to 2023-12-14. This data package is a snapshot in time of multiple National Park Service projects. The most current data for these projects, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at: https://www.waterqualitydata.us/data/Result/search?project=ALKA_FIXED&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=AMME_FIXED&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=AMME_TEMP&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=HALE_FIXED&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=HALE_TEMP&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=HAVO_FIXED&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=KAHO_FIXED&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=KAHO_TEMP&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=KALA_FIXED&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=KALA_TEMP&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=NPSA_FIXED&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=NPSA_TEMP&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=PACN_WELL&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=PUHE_FIXED&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=PUHO_FIXED&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=WAPA_FIXED&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=WAPA_TEMP&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET

This data package was created 2025-02-16 09:58:15 by NPSTORET and includes selected project, location, and result data. Data contained in Cumberland Piedmont Network NPSTORET back-end file (CUPN_NPSTORET_BE_20250212.ACCDB) were filtered to include: Organization: - CUPN: Cumberland Piedmont Network Project: - ABLI_WQ: CUPN WQ Monitoring, ABLI - CARL_WQ: CUPN WQ Monitoring, CARL - CHCH_WQ: CUPN WQ Monitoring, CHCH - COWP_WQ: CUPN WQ Monitoring, COWP - CUGA_WQ: CUPN WQ Monitoring, CUGA - FODO_WQ: CUPN WQ Monitoring, FODO - GUCO_WQ: CUPN WQ Monitoring, GUCO - KIMO_WQ: CUPN WQ Monitoring, KIMO - LIRI_WQ: CUPN WQ Monitoring, LIRI - MACA_WQ: CUPN WQ Monitoring, MACA - NISI_WQ: CUPN WQ Monitoring, NISI - RUCA_WQ: CUPN WQ Monitoring, RUCA - SHIL_WQ: CUPN WQ Monitoring, SHIL - STRI_WQ: CUPN WQ Monitoring, STRI Station: - Include Trip QC And All Station Visit Results Value Status: - Accepted or Certified (exported as Final) or Final The data package is organized into five data tables: - Projects.csv - describes the purpose and background of the monitoring efforts - Locations.csv - documents the attributes of the monitoring locations/stations - Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping - HUC.csv - enumerates the domain of allowed values for 8-digit and 12-digit hydrologic unit codes utilized by the Locations data table - Characteristics.csv - enumerates the domain of characteristics available in NPSTORET to identify what was sampled, measured or observed in Results Period of record for filtered data is 2002-07-10 to 2024-09-30. This data package is a snapshot in time of multiple National Park Service projects. The most current data for these projects, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at: https://www.waterqualitydata.us/data/Result/search?project=ABLI_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=CARL_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=CHCH_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=COWP_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=CUGA_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=FODO_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=GUCO_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=KIMO_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=LIRI_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=MACA_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=NISI_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=RUCA_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=SHIL_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=STRI_WQ&mimeType=csv&zip=yes&dataProfile=resultPhysChem&providers=STORET

This data package was created 2025-03-18 17:05:08 by NPSTORET and includes selected project, location, and result data. Data contained in the Gulf Coast Network NPSTORET back-end file (GULN_NPSTORET_BE_20250311.ACCDB) were filtered to include: Station: - Include Trip QC And All Station Visit Results Value Status: - Accepted or Certified (exported as Final) or Final The data package is organized into five data tables: - Projects.csv - describes the purpose and background of the monitoring efforts - Locations.csv - documents the attributes of the monitoring locations/stations - Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping - HUC.csv - enumerates the domain of allowed values for 8-digit and 12-digit hydrologic unit codes utilized by the Locations data table - Characteristics.csv - enumerates the domain of characteristics available in NPSTORET to identify what was sampled, measured or observed in Results Period of record for filtered data is 1976-05-05 to 2024-12-17. This data package is a snapshot in time of multiple National Park Service projects. The most current data for these projects, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at: https://www.waterqualitydata.us/data/Result/search?project=BITH_HAR&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=BITH_WQ&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=GUIS_WQ&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=JELA_WQ&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=NATR_L1&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=NATR_WQ&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=PAAL_WQ&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=PAIS_WQ&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=SAAN_WQ&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET https://www.waterqualitydata.us/data/Result/search?project=VICK_WQ&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET