24 datasets found
  1. M

    RAND America Life Panel (ALP) Data and Metadata

    • catalog.midasnetwork.us
    Updated Jul 12, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MIDAS Coordination Center (2023). RAND America Life Panel (ALP) Data and Metadata [Dataset]. https://catalog.midasnetwork.us/collection/336
    Explore at:
    Dataset updated
    Jul 12, 2023
    Dataset authored and provided by
    MIDAS Coordination Center
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Dataset funded by
    National Institute of General Medical Sciences
    Description

    RAND's American Life Panel (ALP) is a US nationally representative, probability-based panel of 6,000 participants ages 18 and older who speak English or Spanish and who are regularly interviewed over the internet. There are multiples sets of past and current ALP surveys on Influenza, COVID-19 and other subjects that can be drawn. These past datasets are mergeable via unique respondent IDs. The datasets are available after registration (Registration for approved researchers is free).

  2. d

    Public Land Survey System - Sections on USDA Forest Service Lands.

    • datadiscoverystudio.org
    • gstore.unm.edu
    • +3more
    html, xml, zip
    Updated Jun 25, 2014
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2014). Public Land Survey System - Sections on USDA Forest Service Lands. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/502336ba1f384133b67ffbfd0639d8e5/html
    Explore at:
    html, zip, xmlAvailable download formats
    Dataset updated
    Jun 25, 2014
    Description

    description: This feature class depicts the boundaries of Land Survey features called sections, defined by the Public Lands Survey System Grid. Normally, 36 sections make up a township. The entire extent of each of these units should be collected, not just the portion on National Forest System lands. This dataset is derived from the USFS Southwestern Region ALP (Automated Lands Program) data Project. This is one of six layers derived from ALP for the purpose of supplying data layers for recourse GIS analysis and data needs within the Forest Service. The six layers are Surface Ownership, Administrative Forest Boundary, District Boundary, Townships, Sections, and Wilderness. There were some gapes in the ALP data so a small portion of this dataset comes from CCF (Cartographic Feature Files) datasets and the USFS Southwestern Region Core Data Project. ALP data is developed from data sources of differing accuracy, scales, and reliability. Where available it is developed from GCDB (Geographic Coordinate Data Base) data. GCDB data is maintained by the Bureau of Land Management in their State Offices. GCDB data is mostly corner data. Not all corners and not all boundaries are available in GCDB so ALP also utilizes many other data sources like CFF data to derive its boundaries. GCDB data is in a constant state of change because land corners are always getting resurveyed. The GCDB data used in this dataset represents a snapshot in time at the time the GCDB dataset was published by the BLM and may not reflect the most current GCDB dataset available. The Forest Service makes no expressed or implied warranty with respect to the character, function, or capabilities of these data. These data are intended to be used for planning and analyses purposes only and are not legally binding with regards to title or location of National Forest System lands.; abstract: This feature class depicts the boundaries of Land Survey features called sections, defined by the Public Lands Survey System Grid. Normally, 36 sections make up a township. The entire extent of each of these units should be collected, not just the portion on National Forest System lands. This dataset is derived from the USFS Southwestern Region ALP (Automated Lands Program) data Project. This is one of six layers derived from ALP for the purpose of supplying data layers for recourse GIS analysis and data needs within the Forest Service. The six layers are Surface Ownership, Administrative Forest Boundary, District Boundary, Townships, Sections, and Wilderness. There were some gapes in the ALP data so a small portion of this dataset comes from CCF (Cartographic Feature Files) datasets and the USFS Southwestern Region Core Data Project. ALP data is developed from data sources of differing accuracy, scales, and reliability. Where available it is developed from GCDB (Geographic Coordinate Data Base) data. GCDB data is maintained by the Bureau of Land Management in their State Offices. GCDB data is mostly corner data. Not all corners and not all boundaries are available in GCDB so ALP also utilizes many other data sources like CFF data to derive its boundaries. GCDB data is in a constant state of change because land corners are always getting resurveyed. The GCDB data used in this dataset represents a snapshot in time at the time the GCDB dataset was published by the BLM and may not reflect the most current GCDB dataset available. The Forest Service makes no expressed or implied warranty with respect to the character, function, or capabilities of these data. These data are intended to be used for planning and analyses purposes only and are not legally binding with regards to title or location of National Forest System lands.

  3. Public Land Survey Corner (Feature Layer)

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    • +3more
    bin
    Updated Jun 21, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Forest Service (2025). Public Land Survey Corner (Feature Layer) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Public_Land_Survey_Corner_Feature_Layer_/25974256
    Explore at:
    binAvailable download formats
    Dataset updated
    Jun 21, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

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

    Description

    Note: This is a large dataset. To download, go to ArcGIS Open Data Set and click the download button, and under additional resources select the shapefile or geodatabase option. A land survey point from a GCDB LX file, survey plat, or captured from a CFF land net coverage. Includes points generated by calculating an aliquot breakdown of a section.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService CSV Shapefile GeoJSON KML Geodatabase Download Shapefile Download For complete information, please visit https://data.gov.

  4. Survey parcels described by metes and bounds (Feature Layer)

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    • +5more
    bin
    Updated Nov 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Forest Service (2024). Survey parcels described by metes and bounds (Feature Layer) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Survey_parcels_described_by_metes_and_bounds_Feature_Layer_/25972447
    Explore at:
    binAvailable download formats
    Dataset updated
    Nov 23, 2024
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

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

    Description

    A depiction of a survey parcel described by a metes and bounds description. Examples include: land lots, housing subdivision lots, mineral surveys, and homestead entry surveys. MetadataThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

  5. Public Land Survey Monument (Feature Layer)

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    • +4more
    bin
    Updated Apr 22, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Forest Service (2025). Public Land Survey Monument (Feature Layer) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Public_Land_Survey_Monument_Feature_Layer_/25973692
    Explore at:
    binAvailable download formats
    Dataset updated
    Apr 22, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

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

    Description

    A land survey point from a GCDB LX file, survey plat, or captured from a CFF land net coverage. Includes points generated by calculating an aliquot breakdown of a section.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

  6. Township with FSAdminCode

    • usfs.hub.arcgis.com
    • alaska-region-usfs.hub.arcgis.com
    Updated Dec 16, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Forest Service (2023). Township with FSAdminCode [Dataset]. https://usfs.hub.arcgis.com/datasets/usfs::u-s-forest-service-alp-status-and-encumbrance/about?layer=81
    Explore at:
    Dataset updated
    Dec 16, 2023
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    Area covered
    Description

    An area defined by the Public Lands Survey System grid that is referenced by its tier and range numbers, and is normally a rectangle approximately 6 miles on a side with boundaries conforming to meridians and parallels.

  7. f

    Japanese nationwide survey of hypophosphatasia reveals prominent differences...

    • plos.figshare.com
    tiff
    Updated Jun 1, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Rena Okawa; Kazuma Kokomoto; Taichi Kitaoka; Takuo Kubota; Atsushi Watanabe; Takeshi Taketani; Toshimi Michigami; Keiichi Ozono; Kazuhiko Nakano (2023). Japanese nationwide survey of hypophosphatasia reveals prominent differences in genetic and dental findings between odonto and non-odonto types [Dataset]. http://doi.org/10.1371/journal.pone.0222931
    Explore at:
    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Rena Okawa; Kazuma Kokomoto; Taichi Kitaoka; Takuo Kubota; Atsushi Watanabe; Takeshi Taketani; Toshimi Michigami; Keiichi Ozono; Kazuhiko Nakano
    License

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

    Description

    Hypophosphatasia (HPP) is a rare and intractable metabolic bone disease caused by mutations in the ALPL gene. Here, we undertook a nationwide survey of HPP in Japan, specifically regarding the prominent genetic and dental manifestations of odonto (n = 16 cases) and other (termed “non-odonto”) (n = 36 cases) types. Mean serum alkaline phosphatase (ALP) values in odonto-type patients were significantly greater than those of non-odonto-type patients (P

  8. a

    Tongass NF - Public Land Survey System

    • catalog.epscor.alaska.edu
    Updated Dec 17, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2019). Tongass NF - Public Land Survey System [Dataset]. https://catalog.epscor.alaska.edu/dataset/tongass-nf-public-land-survey-system
    Explore at:
    Dataset updated
    Dec 17, 2019
    Description

    This dataset contains polygons showing the Township, Range and Section boundaries within the Tongass National Forest. This cover was received from the ALP (USFS automated lands project) group in USFS Region 10.

  9. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    Updated Jan 1, 2012
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2012). ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/723b33c2710c4b328e15ee69e074a0cc/html
    Explore at:
    Dataset updated
    Jan 1, 2012
    Description

    SITE NAME: Noranda Exploration, Inc. ALP-89-2 (Alpine)

  10. f

    The comparison of predictive models between this study and similar research....

    • plos.figshare.com
    xls
    Updated Feb 6, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Chunjie She; Hefeng Liu (2025). The comparison of predictive models between this study and similar research. [Dataset]. http://doi.org/10.1371/journal.pone.0316494.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 6, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Chunjie She; Hefeng Liu
    License

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

    Description

    The comparison of predictive models between this study and similar research.

  11. Public opinion on parties most capable in managing healthcare Australia 2025...

    • statista.com
    Updated Apr 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Public opinion on parties most capable in managing healthcare Australia 2025 [Dataset]. https://www.statista.com/statistics/1534799/australia-public-opinion-on-parties-most-capable-in-managing-healthcare/
    Explore at:
    Dataset updated
    Apr 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 6, 2025 - Mar 9, 2025
    Area covered
    Australia
    Description

    According to a survey conducted among adults in Australia in March 2025, 35 percent of the respondents said that the Australian Labor Party (ALP) is the most capable political party in managing healthcare in the country. In contrast, ten percent of the surveyed adults claimed that the Greens are most capable in managing healthcare in Australia.

  12. Public Land Survey System Quarter Sections (Feature Layer)

    • agdatacommons.nal.usda.gov
    • datasets.ai
    • +6more
    bin
    Updated Apr 22, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Forest Service (2025). Public Land Survey System Quarter Sections (Feature Layer) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Public_Land_Survey_System_Quarter_Sections_Feature_Layer_/25974238
    Explore at:
    binAvailable download formats
    Dataset updated
    Apr 22, 2025
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

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

    Description

    This Quarter Section feature class depicts PLSS Second Divisions . PLSS townships are subdivided in a spatial hierarchy of first, second, and third division. These divisions are typically aliquot parts ranging in size from 640 acres to 160 to 40 acres, and subsequently all the way down to 2.5 acres. The data in this feature class was translated from the PLSSSecondDiv feature class in the original production data model, which defined the second division for a specific parcel of land. MetadataThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

  13. Survey Boundaries maintained by the US Forest Service (Feature Layer)

    • agdatacommons.nal.usda.gov
    • datasets.ai
    • +7more
    bin
    Updated Nov 23, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Forest Service (2024). Survey Boundaries maintained by the US Forest Service (Feature Layer) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Survey_Boundaries_maintained_by_the_US_Forest_Service_Feature_Layer_/25972387
    Explore at:
    binAvailable download formats
    Dataset updated
    Nov 23, 2024
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

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

    Description

    The purpose of this featureclass is to allow national forest system boundary managers to query and report on the status of these boundaries for planning boundary management and maintenance work, and to provide this information to anyone else needing this information for analysis, querying, reporting, mapping. The lines should indicate the current status of the physical marked and posted lines in the field, and their maintenance status. Surface Management Agency (SMA) lines represent the surveyed boundary lines for which the Forest Service is responsible for marking and posting. These include the boundaries between NFS lands and non-NFS lands and the boundaries of congressionally designated areas such as National Wilderness. MetadataThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

  14. The characteristics of CKD patients included in the study.

    • plos.figshare.com
    xls
    Updated Feb 6, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Chunjie She; Hefeng Liu (2025). The characteristics of CKD patients included in the study. [Dataset]. http://doi.org/10.1371/journal.pone.0316494.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 6, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Chunjie She; Hefeng Liu
    License

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

    Description

    The characteristics of CKD patients included in the study.

  15. f

    Table_1_Association of serum alkaline phosphatase and depression in US...

    • frontiersin.figshare.com
    docx
    Updated Jun 2, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yujiang Liang; Yafei Mao; Weizhong Liang; Liping Liang; Min Suo; Juan Xue; Hui Yang (2023). Table_1_Association of serum alkaline phosphatase and depression in US adults: a population-based cross-sectional study.DOCX [Dataset]. http://doi.org/10.3389/fpsyt.2023.1131105.s001
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    Frontiers
    Authors
    Yujiang Liang; Yafei Mao; Weizhong Liang; Liping Liang; Min Suo; Juan Xue; Hui Yang
    License

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

    Description

    BackgroundDepression, a serious public health disorder, is increasingly prevalent worldwide. An association between alkaline phosphatase (ALP) and neurological disorders has been reported. However, data on ALP and depression risk are scarce, which warrants attention.MethodsWe assessed the association between ALP and risk of depression in adults from the 2007–2014 National Health and Nutrition Examination Survey (NHANES). Depression was assessed using the Patient Health Questionnaire-9. Univariate and multivariate logistic regression were used to assess the association between ALP and risk of depression, and subgroup analyses were also performed.ResultsA total of 17,485 participants were included. The prevalence of depression was 9.3% (1,631/17,485) and ALP was significantly associated with the risk of depression when ALP was a categorical variable (quadratic or categorized by 79 U/L) in a multivariate logistic regression model after adjusting for confounding factors (≥79 U/L vs.

  16. Public Land Survey System Sections (Feature Layer)

    • agdatacommons.nal.usda.gov
    bin
    Updated Nov 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Forest Service (2024). Public Land Survey System Sections (Feature Layer) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Public_Land_Survey_System_Sections_Feature_Layer_/25972855
    Explore at:
    binAvailable download formats
    Dataset updated
    Nov 23, 2024
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

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

    Description

    An area defined by the Public Lands Survey System Grid. Normally, 36 sections make up a township. MetadataThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

  17. Public Land Survey System Townships (Feature Layer)

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    • +5more
    bin
    Updated Nov 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Forest Service (2024). Public Land Survey System Townships (Feature Layer) [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Public_Land_Survey_System_Townships_Feature_Layer_/25972921
    Explore at:
    binAvailable download formats
    Dataset updated
    Nov 23, 2024
    Dataset provided by
    U.S. Department of Agriculture Forest Servicehttp://fs.fed.us/
    Authors
    U.S. Forest Service
    License

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

    Description

    An area defined by the Public Lands Survey System grid that is referenced by its tier and range numbers, and is normally a rectangle approximately 6 miles on a side with boundaries conforming to meridians and parallels. MetadataThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

  18. Public opinion on the most capable parties in managing housing Australia...

    • statista.com
    Updated Apr 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Public opinion on the most capable parties in managing housing Australia 2025 [Dataset]. https://www.statista.com/statistics/1534797/australia-public-opinion-on-parties-most-capable-in-managing-housing/
    Explore at:
    Dataset updated
    Apr 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 6, 2025 - Mar 9, 2025
    Area covered
    Australia
    Description

    According to a survey conducted among adults in Australia in March 2025, 29 percent of the respondents said that the Australian Labor Part (ALP) is the most capable in managing housing in the country. In comparison, 11 percent of the surveyed adults claimed that the Greens are most adept at managing housing in Australia.

  19. Public opinion on parties most capable in managing the economy Australia...

    • statista.com
    Updated Apr 28, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Public opinion on parties most capable in managing the economy Australia 2025 [Dataset]. https://www.statista.com/statistics/1534801/australia-public-opinion-on-the-party-most-capable-in-managing-the-economy/
    Explore at:
    Dataset updated
    Apr 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 6, 2025 - Mar 9, 2025
    Area covered
    Australia
    Description

    According to a survey conducted among adults in Australia in March 2025, 35 percent of the respondents said that the Australian Labor Party (ALP) is the most capable in managing the economy. In comparison, eight percent of the surveyed adults claimed that the Australian Greens party is most adept in managing the economy in Australia.

  20. f

    Calibration data for estimation of DES & ALP in human spiked plasma.

    • plos.figshare.com
    xls
    Updated Jun 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Huma Rao; Saeed Ahmad; Asadullah Madni; Imtiaz Ahmad; Muhammad Nadeem Shahzad (2023). Calibration data for estimation of DES & ALP in human spiked plasma. [Dataset]. http://doi.org/10.1371/journal.pone.0238954.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Huma Rao; Saeed Ahmad; Asadullah Madni; Imtiaz Ahmad; Muhammad Nadeem Shahzad
    License

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

    Description

    Calibration data for estimation of DES & ALP in human spiked plasma.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
MIDAS Coordination Center (2023). RAND America Life Panel (ALP) Data and Metadata [Dataset]. https://catalog.midasnetwork.us/collection/336

RAND America Life Panel (ALP) Data and Metadata

Explore at:
Dataset updated
Jul 12, 2023
Dataset authored and provided by
MIDAS Coordination Center
License

Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically

Dataset funded by
National Institute of General Medical Sciences
Description

RAND's American Life Panel (ALP) is a US nationally representative, probability-based panel of 6,000 participants ages 18 and older who speak English or Spanish and who are regularly interviewed over the internet. There are multiples sets of past and current ALP surveys on Influenza, COVID-19 and other subjects that can be drawn. These past datasets are mergeable via unique respondent IDs. The datasets are available after registration (Registration for approved researchers is free).

Search
Clear search
Close search
Google apps
Main menu