100+ datasets found
  1. B

    United States historical business data

    • borealisdata.ca
    • dataone.org
    • +1more
    Updated Mar 11, 2025
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    Data Axle (2025). United States historical business data [Dataset]. http://doi.org/10.5683/SP3/GY5K1C
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 11, 2025
    Dataset provided by
    Borealis
    Authors
    Data Axle
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/5.0/customlicense?persistentId=doi:10.5683/SP3/GY5K1Chttps://borealisdata.ca/api/datasets/:persistentId/versions/5.0/customlicense?persistentId=doi:10.5683/SP3/GY5K1C

    Time period covered
    1997 - 2023
    Area covered
    United States
    Description

    Product contains one data file (.txt format) for each year from 1997-2023 containing 11-15 million records per year. Records provide information about business location (including address, census block, census tract & lat/long coordinates), number of employees, sales volume, NAICS & SIC codes, unique identifier across time for businesses and parent entities.

  2. H

    Data from: A Database of Groundwater Wells in the United States

    • hydroshare.org
    • beta.hydroshare.org
    • +1more
    zip
    Updated Mar 25, 2024
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    Chung-Yi Lin; Alex Miller; Musab Waqar; Landon Marston (2024). A Database of Groundwater Wells in the United States [Dataset]. http://doi.org/10.4211/hs.8b02895f02c14dd1a749bcc5584a5c55
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    zip(3.6 GB)Available download formats
    Dataset updated
    Mar 25, 2024
    Dataset provided by
    HydroShare
    Authors
    Chung-Yi Lin; Alex Miller; Musab Waqar; Landon Marston
    License

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

    Area covered
    Description

    Groundwater wells are critical infrastructure that enable the monitoring, extraction, and use of groundwater, which has important implications for the environment, water security, and economic development. Despite the importance of wells, a unified database collecting and standardizing information on the characteristics and locations of these wells across the United States has been lacking. To bridge this gap, we have created a comprehensive database of groundwater well records collected from state and federal agencies, which we call the United States Groundwater Well Database (USGWD). Presented in both tabular form and as vector points, the USGWD comprises over 14.2 million well records with attributes such as well purpose, location, depth, and capacity for wells constructed as far back as 1763 to 2023. Rigorous cross-verification steps have been applied to ensure the accuracy of the data. The USGWD stands as a valuable tool for improving our understanding of how groundwater is accessed and managed across various regions and sectors within the United States.

  3. d

    Data from: Location of Sea-Floor Photographs Acquired During U.S. Geological...

    • catalog.data.gov
    • s.cnmilf.com
    • +4more
    Updated Sep 16, 2025
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    U.S. Geological Survey (2025). Location of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 08012 (RAFA08012) in the Vicinity of Edgartown Harbor, Offshore Massachusetts (RAFA08012_BOTPHOTOS.SHP, Geographic) [Dataset]. https://catalog.data.gov/dataset/location-of-sea-floor-photographs-acquired-during-u-s-geological-survey-usgs-cruise-08012-
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    Dataset updated
    Sep 16, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Edgartown, Massachusetts
    Description

    The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, originally collected by NOAA for charting purposes, provides a fundamental framework for research and management activities along this part of the Massachusetts coastline, shows the composition and terrain of the seabed, and provides information on sediment transport and benthic habitat. Interpretive data layers were derived from the combined single-beam and multibeam echo-sounder data and sidescan-sonar data collected in the vicinity of Edgartown Harbor, Massachusetts. During August 2008 seismic-reflection profiles (Boomer and Chirp) were acquired, and during September 2008 bottom photographs and surficial sediment data were acquired as part of two ground-truth reconnaissance surveys.

  4. d

    Location Identifiers, Metadata, and Map for Field Measurements at the East...

    • dataone.org
    • knb.ecoinformatics.org
    • +3more
    Updated Oct 24, 2023
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    Charuleka Varadharajan; Madison Burrus; Dylan O'Ryan; Zarine Kakalia; Erek Alper; Jillian Banfield; Max Berkelhammer; Curtis Beutler; Eoin Brodie; Wendy Brown; Mariah S. Carbone; Rosemary Carroll; Danielle Christianson; Chunwei Chou; Robert Crystal-Ornelas; K. Dana Chadwick; John Christensen; Baptiste Dafflon; Gijs de Boer; Hesham Elbashandy; Brian J. Enquist; Daniel Feldman; Patricia Fox; Benjamin Gilbert; David Gochis; Matthew Henderson; Douglas Johnson; Lara Kueppers; Langlang Li; Paula Matheus Carnevali; Alexander Newman; Thomas Powell; Kamini Singha; Patrick Sorensen; Matthias Sprenger; Tetsu Tokunaga; Roelof Versteeg; Mike Wilkins; Kenneth Williams; Marshall Worsham; Catherine Wong; Yuxin Wu; Damao Zhang; Deborah Agarwal (2023). Location Identifiers, Metadata, and Map for Field Measurements at the East River Watershed, Colorado, USA (Version 3.1) [Dataset]. http://doi.org/10.15485/1660962
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    Dataset updated
    Oct 24, 2023
    Dataset provided by
    ESS-DIVE
    Authors
    Charuleka Varadharajan; Madison Burrus; Dylan O'Ryan; Zarine Kakalia; Erek Alper; Jillian Banfield; Max Berkelhammer; Curtis Beutler; Eoin Brodie; Wendy Brown; Mariah S. Carbone; Rosemary Carroll; Danielle Christianson; Chunwei Chou; Robert Crystal-Ornelas; K. Dana Chadwick; John Christensen; Baptiste Dafflon; Gijs de Boer; Hesham Elbashandy; Brian J. Enquist; Daniel Feldman; Patricia Fox; Benjamin Gilbert; David Gochis; Matthew Henderson; Douglas Johnson; Lara Kueppers; Langlang Li; Paula Matheus Carnevali; Alexander Newman; Thomas Powell; Kamini Singha; Patrick Sorensen; Matthias Sprenger; Tetsu Tokunaga; Roelof Versteeg; Mike Wilkins; Kenneth Williams; Marshall Worsham; Catherine Wong; Yuxin Wu; Damao Zhang; Deborah Agarwal
    Time period covered
    Sep 14, 2015 - Oct 10, 2023
    Area covered
    Description

    This dataset contains identifiers, metadata, and a map of the locations where field measurements have been conducted at the East River Community Observatory located in the Upper Colorado River Basin, United States. This is version 3.1 of the dataset and replaces the prior version 3.0 (see below for details on changes between the versions). Dataset description: The East River is the primary field site of the Watershed Function Scientific Focus Area (WFSFA) and the Rocky Mountain Biological Laboratory. Researchers from several institutions generate highly diverse hydrological, biogeochemical, climate, vegetation, geological, remote sensing, and model data at the East River in collaboration with the WFSFA. Thus, the purpose of this dataset is to maintain an inventory of the field locations and instrumentation to provide information on the field activities in the East River and coordinate data collected across different locations, researchers, and institutions. The dataset contains (1) a README file with information on the various files, (2) three csv files describing the metadata collected for each surface point location, plot and region registered with the WFSFA, (3) csv files with metadata and contact information for each surface point location registered with the WFSFA, (4) a csv file with with metadata and contact information for plots, (5) a csv file with metadata for geographic regions and sub-regions within the watershed, (6) a compiled xlsx file with all the data and metadata which can be opened in Microsoft Excel, (7) a kml map of the locations plotted in the watershed which can be opened in Google Earth, (8) a jpeg image of the kml map which can be viewed in any photo viewer, and (9) a zipped file with the registration templates used by the SFA team to collect location metadata. The zipped template file contains two csv files with the blank templates (point and plot), two csv files with instructions for filling out the location templates, and one compiled xlsx file with the instructions and blank templates together. Additionally, the templates in the xlsx include drop down validation for any controlled metadata fields. Persistent location identifiers (Location_ID) are determined by the WFSFA data management team and are used to track data and samples across locations. Dataset uses: This location metadata is used to update the Watershed SFA’s publicly accessible Field Information Portal (an interactive field sampling metadata exploration tool; https://wfsfa-data.lbl.gov/watershed/), the kml map file included in this dataset, and other data management tools internal to the Watershed SFA team. Version Information: The latest version of this dataset publication is version 3.1. This version contains a total of 101 new point locations and 1 new geographic region. Overall, there are a total of 1111 point locations, 62 plots, and 36 geographic regions. Additionally, the kml map of locations and image now includes a Taylor River geographic region boundary and stream network. Refer to methods for further details on the version history. This dataset will be updated on a periodic basis with new measurement location information. Researchers interested in having their East River measurement locations added in this list should reach out to the WFSFA data management team at wfsfa-data@googlegroups.com. Acknowledgements: Please cite this dataset if using any of the location metadata in other publications or derived products. If using the location metadata for the NEON hyperspectral campaign, additionally cite Chadwick et al. (2020). doi:10.15485/1618130.

  5. d

    Location and analyses of sediment samples collected by the U.S. Geological...

    • catalog.data.gov
    • search.dataone.org
    • +2more
    Updated Sep 24, 2025
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    U.S. Geological Survey (2025). Location and analyses of sediment samples collected by the U.S. Geological Survey in 2015 along the Delmarva Peninsula, MD and VA (Esri point shapefile and CSV file, Geographic, WGS 84) [Dataset]. https://catalog.data.gov/dataset/location-and-analyses-of-sediment-samples-collected-by-the-u-s-geological-survey-in-2015-a
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    Dataset updated
    Sep 24, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Delmarva Peninsula
    Description

    The Delmarva Peninsula is a 220-kilometer-long headland, spit, and barrier island complex that was significantly affected by Hurricane Sandy in the fall of 2012. The U.S. Geological Survey conducted cruises during the summers of 2014 and 2015 to map the inner continental shelf of the Delmarva Peninsula using geophysical and sampling techniques to define the geologic framework that governs coastal system evolution at storm-event and longer timescales. Geophysical data collected during the cruises include swath bathymetric, sidescan sonar, chirp and boomer seismic reflection profiles, grab sample and bottom photograph data. More information about the USGS survey conducted as part of the Hurricane Sandy Response-- Geologic Framework and Coastal Vulnerability Study can be found at the project website or on the WHCMSC Field Activity Web pages: https://woodshole.er.usgs.gov/project-pages/delmarva/, https://cmgds.marine.usgs.gov/fan_info.php?fan=2014-002-FA and https://cmgds.marine.usgs.gov/fan_info.php?fan=2015-001-FA. Data collected during the 2014 survey can be obtained here: https://doi.org/10.5066/F7MW2F60

  6. d

    Data from: Location of Sea-Floor Photographs Acquired During U.S. Geological...

    • catalog.data.gov
    • dataone.org
    • +4more
    Updated Sep 15, 2025
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    U.S. Geological Survey (2025). Location of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 06005 (RAFA06005) in Great Round Shoal Channel, Offshore Massachusetts (RAF06005_BOTPHOTOS, Geographic) [Dataset]. https://catalog.data.gov/dataset/location-of-sea-floor-photographs-acquired-during-u-s-geological-survey-usgs-cruise-06005-
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    Dataset updated
    Sep 15, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Massachusetts
    Description

    The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, originally collected by NOAA for charting purposes, provide a fundamental framework for research and management activities along this part of the Massachusetts coastline, show the composition and terrain of the seabed, and provide information on sediment transport and benthic habitat. Interpretive data layers were derived from multibeam echo-sounder and sidescan sonar data collected in Great Round Shoal Channel, a passage through the shoals at the eastern entrance to Nantucket Sound, off Cape Cod, Massachusetts. In June 2006, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconaissance survey.

  7. d

    Location of Sea-Floor Photographs Acquired During U.S. Geological Survey...

    • catalog.data.gov
    • dataone.org
    • +4more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Location of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 2012-002-FA in Block Island Sound (2012-002_023BOTPHOTOS shapefile, Geographic) [Dataset]. https://catalog.data.gov/dataset/location-of-sea-floor-photographs-acquired-during-u-s-geological-survey-usgs-cruise-2012-0
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Block Island Sound
    Description

    The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric and sidescan-sonar data, originally collected by NOAA for charting purposes, provide a fundamental framework for research and management activities along this part of Block Island Sound, show the composition and terrain of the seabed, and provide information on sediment transport and benthic habitat. During June 2012, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of this area. Interpretations were derived from the multibeam-echosounder, sidescan-sonar, sedimentary, and photographic data collected in Block Island Sound. For more information on the ground-truth survey see http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2012-002-FA.

  8. d

    Data from: Location of Sea-Floor Photographs Acquired During U.S. Geological...

    • catalog.data.gov
    • data.usgs.gov
    • +3more
    Updated Sep 15, 2025
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    U.S. Geological Survey (2025). Location of Sea-Floor Photographs Acquired During U.S. Geological Survey (USGS) Cruise 07034 (RAFA07034) in the Vicinity of Woods Hole, Offshore Massachusetts (RAFA07034_BOTPHOTOS, Geographic) [Dataset]. https://catalog.data.gov/dataset/location-of-sea-floor-photographs-acquired-during-u-s-geological-survey-usgs-cruise-07034-
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    Dataset updated
    Sep 15, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Massachusetts, Woods Hole
    Description

    The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA) and the Massachusetts Office of Coastal Zone Management (MA CZM), is producing detailed geologic maps of the coastal sea floor. Imagery, originally collected by NOAA for charting purposes, provides a fundamental framework for research and management activities along this part of the Massachusetts coastline, shows the composition and terrain of the seabed, and provides information on sediment transport and benthic habitat. Interpretive data layers were derived from multibeam echo-sounder and sidescan-sonar data collected in the vicinity of Woods Hole, a passage through the Elizabeth Islands, off Cape Cod, Massachusetts. In November 2007, bottom photographs, surficial sediment data, and seismic-reflection profiles were acquired as part of a ground-truth reconnaissance survey.

  9. d

    Data from: Location of Sea-Floor Photographs acquired during USGS cruise...

    • search.dataone.org
    • data.usgs.gov
    • +5more
    Updated Jun 1, 2017
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    L.J. Poppe (2017). Location of Sea-Floor Photographs acquired during USGS cruise 04011 (RAFA04011) from off Eastern Cape Cod, Massachusetts (RAFA04011_BOTPHOTOS.SHP, Geographic, NAD83) [Dataset]. https://search.dataone.org/view/28b2968c-2874-4d6f-8453-e98a144c58b8
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    Dataset updated
    Jun 1, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    L.J. Poppe
    Time period covered
    May 25, 2004 - Jun 4, 2004
    Area covered
    Variables measured
    FID, URL, DATE, IMAGE, PHOTO, Shape, DEVICE, STATION, CRUISEID, LATITUDE, and 5 more
    Description

    This data set includes the locations and identifiers of 240 bottom photographs collected at 89 stations on topographic and backscatter data of the sea floor offshore east of Cape Cod, Massachusetts. The photos were collected with a modified Van Veen grab modified to carry still and video camera systems (small SEABOSS) during USGS survey 04011, conducted May 25- June 4, 2004.

  10. d

    Data from: Location of bottom photographs from the Mini-SeaBOSS sampling...

    • dataone.org
    • data.usgs.gov
    • +7more
    Updated Mar 30, 2017
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    Seth Ackerman (2017). Location of bottom photographs from the Mini-SeaBOSS sampling system from Boston Harbor and Approaches (USGS Field Activity 04019) (BOTTOMPHOTOS, UTM 19, WGS84) [Dataset]. https://dataone.org/datasets/e1265dc4-b685-4bf3-a0b0-9fda74312668
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    Dataset updated
    Mar 30, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Seth Ackerman
    Time period covered
    Sep 14, 2004 - Sep 17, 2004
    Area covered
    Variables measured
    JD, FID, JDT, LAT, STA, LONG, TIME, Shape, ACKTIME, TIMESTR, and 2 more
    Description

    This data set includes the locations and hotlinks to photographs of the seafloor in Boston Harbor and the harbor approaches, Massachusetts. The photos were taken using the mini-SEABOSS system during USGS survey 04019, conducted September 14-17, 2004.

  11. d

    Location of U.S. Manufacturing, 1987-2014: A New Dataset

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Xiong, Xi; Png, Ivan (2023). Location of U.S. Manufacturing, 1987-2014: A New Dataset [Dataset]. http://doi.org/10.7910/DVN/K4KBBR
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Xiong, Xi; Png, Ivan
    Description

    The present dataset matches Compustat to the the U.S. Environmental Protection Agency Toxics Release Inventory (TRI) https://www.epa.gov/toxics-release-inventory-tri-program. This is useful to researchers as a way to locate industrial facilities.

  12. d

    Data from: TPWD HARC Texas Coastal Fisheries San Antonio Bay Trawl

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    • data.ioos.us
    • +4more
    Updated Sep 16, 2025
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    U.S. Geological Survey HQ; Houston Advanced Research Center (2025). TPWD HARC Texas Coastal Fisheries San Antonio Bay Trawl [Dataset]. https://search.dataone.org/view/sha256%3A7879e978d6a1dfd8d934cf37ab4c02d0d8a72b71066bae976ece8192896465c9
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    Dataset updated
    Sep 16, 2025
    Dataset provided by
    Ocean Biodiversity Information System (OBIS)
    Authors
    U.S. Geological Survey HQ; Houston Advanced Research Center
    Time period covered
    Jan 1, 1982 - Jan 1, 2008
    Area covered
    Description

    The Texas Parks and Wildlife Department (TPWD) utilizes several sampling gears for fisheries-independent monitoring of finfish and shellfish communities. They include bag seines, trawls, gill nets and oyster dredges. TPWD uses multiple gears in a random sampling protocol, and they identify (to the lowest taxonomic unit possible) and count everything that they collect. This dataset contains bay trawl data collected for the San Antonio bay system in Texas from 1982 to 2008. Collected data also included spatial and temporal information describing the sample location and time, collection gear information, hydrological data (e.g. dissolved oxygen, water temperature, and salinity), weather conditions, species caught, and number of each species captured. Houston Advanced Research Center (HARC) calculated the relative abundance data, calculated as the catch of a particular species in a sample divided by the total number of animals captured in that sample. Absence data was recorded for species on the TPWD species sampling lists that were not captured during sampling.

  13. d

    CINMS/PISCO: Physical Oceanography: moored temperature data: Santa Rosa...

    • search.dataone.org
    • data.cnra.ca.gov
    • +3more
    Updated Feb 25, 2020
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    Channel Islands National Marine Sanctuary; Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Libe Washburn (2020). CINMS/PISCO: Physical Oceanography: moored temperature data: Santa Rosa Island, California, USA (BEAXXX) [Dataset]. http://doi.org/10.6085/AA/BEAXXX_015MTBD009R00_20050727.50.10
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    Dataset updated
    Feb 25, 2020
    Dataset provided by
    PISCO MN
    Authors
    Channel Islands National Marine Sanctuary; Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Libe Washburn
    Time period covered
    Jul 27, 2005 - Sep 9, 2005
    Area covered
    Variables measured
    date, flag, time, temp_c, yearday
    Description

    This metadata record describes moored seawater temperature data collected at Santa Rosa Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2005-07-27. The instrument depth was 009 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.

  14. d

    CINMS/PISCO: Physical Oceanography: moored temperature data: San Miguel...

    • search.dataone.org
    • data.cnra.ca.gov
    • +2more
    Updated Feb 24, 2020
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    Channel Islands National Marine Sanctuary; Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Libe Washburn (2020). CINMS/PISCO: Physical Oceanography: moored temperature data: San Miguel Island, California, USA (BAYXXX) [Dataset]. http://doi.org/10.6085/AA/BAYXXX_015MTBD014R00_20050728.50.10
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    Dataset updated
    Feb 24, 2020
    Dataset provided by
    PISCO MN
    Authors
    Channel Islands National Marine Sanctuary; Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Libe Washburn
    Time period covered
    Jul 28, 2005 - Sep 11, 2005
    Area covered
    Variables measured
    date, flag, time, temp_c, yearday
    Description

    This metadata record describes moored seawater temperature data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2005-07-28. The instrument depth was 014 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.

  15. d

    PISCO: Physical Oceanography: moored temperature data: Soquel Point,...

    • search.dataone.org
    • data.cnra.ca.gov
    • +3more
    Updated Mar 3, 2020
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    Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Margaret McManus (2020). PISCO: Physical Oceanography: moored temperature data: Soquel Point, California, USA (SQP001) [Dataset]. http://doi.org/10.6085/AA/SQP001_021MXTI005R00_20070109.50.5
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    Dataset updated
    Mar 3, 2020
    Dataset provided by
    PISCO MN
    Authors
    Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Margaret McManus
    Time period covered
    Jan 9, 2007 - Feb 23, 2007
    Area covered
    Variables measured
    date, flag, time, temp_c, yearday
    Description

    This metadata record describes moored seawater temperature data collected at Soquel Point, California, USA, by PISCO. Measurements were collected using a StowAway XTI Temperature Logger (Onset Computer Corp. XTI32-05+37) beginning 2007-01-09. The instrument depth was 005 meters, in an overall water depth of 21 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.

  16. d

    Data from: Sediment Data from Cobscook Bay, Maine (LARSEN03 shapefile)

    • dataone.org
    • data.usgs.gov
    • +6more
    Updated Apr 13, 2017
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    Lawrence J. Poppe (2017). Sediment Data from Cobscook Bay, Maine (LARSEN03 shapefile) [Dataset]. https://dataone.org/datasets/2b4b4522-4376-43b3-8967-9b204bf4daa7
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    Dataset updated
    Apr 13, 2017
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Lawrence J. Poppe
    Area covered
    Variables measured
    FID, MUD, AREA, SAND, CLASS, Shape, GRAVEL, STATION, LATITUDE, LONGITUDE, and 1 more
    Description

    The data in this layer were generated as part of an environmental impact statement evaluating the construction of a proposed 250,000 barrel per day oil refinery and marine terminal. Permits for this facility, which would serve the Eastport, Maine area, were requested by the Pittston Company of New York.

  17. d

    CINMS/PISCO: Physical Oceanography: moored temperature data: San Miguel...

    • search.dataone.org
    • data.cnra.ca.gov
    • +3more
    Updated Mar 3, 2020
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    Channel Islands National Marine Sanctuary; Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Libe Washburn (2020). CINMS/PISCO: Physical Oceanography: moored temperature data: San Miguel Island, California, USA (SMSXXX) [Dataset]. http://doi.org/10.6085/AA/SMSXXX_015MTBD014R00_20050525.50.10
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    Dataset updated
    Mar 3, 2020
    Dataset provided by
    PISCO MN
    Authors
    Channel Islands National Marine Sanctuary; Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Libe Washburn
    Time period covered
    May 25, 2005 - Jun 13, 2005
    Area covered
    Variables measured
    date, flag, time, temp_c, yearday
    Description

    This metadata record describes moored seawater temperature data collected at San Miguel Island, California, USA, by PISCO. Measurements were collected using StowAway Tidbit Temperature Loggers (Onset Computer Corp. TBIC32+4+27) beginning 2005-05-25. The instrument depth was 014 meters, in an overall water depth of 015 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.

  18. d

    PISCO: Physical Oceanography: moored temperature data: Stillwater Cove,...

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    • data.cnra.ca.gov
    • +2more
    Updated Mar 6, 2020
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    Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Margaret McManus (2020). PISCO: Physical Oceanography: moored temperature data: Stillwater Cove, California, USA (SWC001) [Dataset]. http://doi.org/10.6085/AA/SWC001_022MXTI013R00_20090725.50.1
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    Dataset updated
    Mar 6, 2020
    Dataset provided by
    PISCO MN
    Authors
    Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Margaret McManus
    Time period covered
    Jul 25, 2009 - Sep 8, 2009
    Area covered
    Variables measured
    date, flag, time, temp_c, yearday
    Description

    This metadata record describes moored seawater temperature data collected at Stillwater Cove, California, USA, by PISCO. Measurements were collected using a StowAway XTI Temperature Logger (Onset Computer Corp. XTI32-05+37) beginning 2009-07-25. The instrument depth was 013 meters, in an overall water depth of 22 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.

  19. d

    PISCO: Physical Oceanography: moored temperature data: Soquel Point,...

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    • data.cnra.ca.gov
    • +2more
    Updated Mar 3, 2020
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    Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Margaret McManus (2020). PISCO: Physical Oceanography: moored temperature data: Soquel Point, California, USA (SQP001) [Dataset]. http://doi.org/10.6085/AA/SQP001_021MXTI012R00_20020124.50.6
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    Dataset updated
    Mar 3, 2020
    Dataset provided by
    PISCO MN
    Authors
    Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Margaret McManus
    Time period covered
    Jan 24, 2002 - Mar 8, 2002
    Area covered
    Variables measured
    date, flag, time, temp_c, yearday
    Description

    This metadata record describes moored seawater temperature data collected at Soquel Point, California, USA, by PISCO. Measurements were collected using StowAway XTI Temperature Loggers (Onset Computer Corp. XTI32-05+37) beginning 2002-01-24. The instrument depth was 012 meters, in an overall water depth of 021 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.

  20. d

    PISCO: Physical Oceanography: moored temperature data: Santa Cruz Island,...

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    • data.cnra.ca.gov
    • +2more
    Updated Mar 3, 2020
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    Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Libe Washburn (2020). PISCO: Physical Oceanography: moored temperature data: Santa Cruz Island, California, USA (SMGXXX) [Dataset]. http://doi.org/10.6085/AA/SMGXXX_015MTBD003R00_20081024.50.1
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    Dataset updated
    Mar 3, 2020
    Dataset provided by
    PISCO MN
    Authors
    Partnership for Interdisciplinary Studies of Coastal Oceans (PISCO); Libe Washburn
    Time period covered
    Oct 24, 2008 - Dec 8, 2008
    Area covered
    Variables measured
    date, flag, time, temp_c, yearday
    Description

    This metadata record describes moored seawater temperature data collected at Santa Cruz Island, California, USA, by PISCO. Measurements were collected using a StowAway Tidbit Temperature Logger (Onset Computer Corp. TBIC32+4+27) beginning 2008-10-24. The instrument depth was 003 meters, in an overall water depth of 15 meters (both relative to Mean Sea Level, MSL). The sampling interval was 2.0 minutes.

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Data Axle (2025). United States historical business data [Dataset]. http://doi.org/10.5683/SP3/GY5K1C

United States historical business data

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Mar 11, 2025
Dataset provided by
Borealis
Authors
Data Axle
License

https://borealisdata.ca/api/datasets/:persistentId/versions/5.0/customlicense?persistentId=doi:10.5683/SP3/GY5K1Chttps://borealisdata.ca/api/datasets/:persistentId/versions/5.0/customlicense?persistentId=doi:10.5683/SP3/GY5K1C

Time period covered
1997 - 2023
Area covered
United States
Description

Product contains one data file (.txt format) for each year from 1997-2023 containing 11-15 million records per year. Records provide information about business location (including address, census block, census tract & lat/long coordinates), number of employees, sales volume, NAICS & SIC codes, unique identifier across time for businesses and parent entities.

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