3 datasets found
  1. Data from: How many samples are needed to prove the absence of contamination...

    • geolsoc.figshare.com
    xlsx
    Updated Feb 26, 2019
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    John A. Heathcote (2019). How many samples are needed to prove the absence of contamination - an example using arsenic? [Dataset]. http://doi.org/10.6084/m9.figshare.7770920.v1
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    xlsxAvailable download formats
    Dataset updated
    Feb 26, 2019
    Dataset provided by
    Geological Society of Londonhttp://www.geolsoc.org.uk/
    Authors
    John A. Heathcote
    License

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

    Description

    An Excel spreadsheet containing the full dataset, showing its sub-sampling

  2. n

    2007-08 Voyage 3 of the Aurora Australis, CEAMARC-CASO Mineralogy Biota Data...

    • cmr.earthdata.nasa.gov
    • data.aad.gov.au
    • +1more
    Updated Nov 17, 2017
    + more versions
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    (2017). 2007-08 Voyage 3 of the Aurora Australis, CEAMARC-CASO Mineralogy Biota Data [Dataset]. http://doi.org/10.4225/15/5a0e72dc6394d
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    Dataset updated
    Nov 17, 2017
    Time period covered
    Dec 16, 2007 - Jan 27, 2008
    Area covered
    Description

    Mineralogy data collected from the CEAMARC-CASO voyage of the Aurora Australis during the 2007-2008 summer season. The data consist of a large number of images, plus documents detailing analysis methods and file descriptions.

    Taken from the "Methods" document in the download file:

    CEAMARC MINERALOGY METHODS Margaret Lindsay August 2009

    Mineralogy sampling method: (numbers in brackets refer to image below) Individual bags containing the samples taken during the CEAMARC 2007/08 voyage (1) were emptied in to a sorting tray and slightly defrosted to enable the biota to be separated and sorted in to like biota (2). Taxonomic samples were selected to represent different species. The taxonomy sample was moved onto the bench and allocated a STD barcode, a photo was taken (3) and the image number, barcode and 'identification' of the biota was recorded. From the taxonomy sample a small (larger than 0.05g) sample of the individual was dissected, weighed (4) and bagged separately, this sub-sample became the 'mineralogy sample' that were sent to Damien Gore at Macquarie University on 21/05/2009 for mineralogy analysis by Damien Gore and Peter Johnston.

    Samples were tracked using the Sample Tracking Database (located \aad.gov.au\files\HIRP ew-shared-hirp\30 Samples tracking + LIMS (Lab Inf Management Sys)\Sample Tracking Database\HIRP STD Working). The key barcodes are: The nally bin's containing the CEAMARC samples are located in reefer 1 (-20 C) (barcode 11919). The original CEAMARC samples (parent container) are in nally bins 14762 and 14759. The taxonomy samples are in a nally barcoded as 70469 (contains 10 bags). The mineralogy samples are in a nally bin barcoded 70472 (contains three bags) and are currently at Macquarie University for mineralogy analysis.

    Data was entered during the lab process into the spreadsheet file - Sub sampling taxonomy and mineralogy.xls the details of the spreadsheets contents;

    The list below describes each column in the 'Taxonomy and Mineralogy', 'bamboo coral' and 'other analyses' sheets from the excel file - Sub sampling taxonomy and mineralogy.xls (location described in G:\CEAMARC\CEAMARC MINERALOGY FILE DESCRIPTIONS.doc)

    Date sampled Date that the taxonomic samples were dissected to obtain the mineralogy samples

    Parent barcode STD barcode for the nally bin that the samples are located in

    Site barcode STD barcode for the CEAMARC site and deployment

    CEAMARC site number CEAMARC voyage sample site number

    CEAMARC event number The CEAMARC voyage event number is the sampling devices deployment number, related to CEAMARC site number

    Taxonomy bag barcode STD barcode for the bag that contains the taxonomy samples

    Image number The image number of the taxonomy sample in it's entirety before dissected to obtain the mineralogy sample. Image contains the label from the initial sample and the sub sample barcode (for taxonomy)

    Sub sample barcode (for taxonomy) The STD barcode allocated to the taxonomy sample

    Analyses label for mineralogy The number (identical to sub sample barcode number) that identifies the mineralogy sample and links it back to the taxonomic sample.

    Analysis sample weight The weight in grams of the dissected part that is the mineralogy sample.

    Mineralogy bag barcode STD barcode for the bag that contains the mineralogy samples

    Identification Biota sample identification eg. Gorgonian, bryozoan, ophiuroids

    Mineralogy sample size Relative size of sample sent off for mineralogy analysis; small sample, medium sample or large sample.

    Taxonomy sample size Relative size of sample small sample; medium sample or large sample (suitable for further analysis).

    The 'KRILL' sheet in the above excel file has the following columns;

    Date sub sampled Date that the taxonomic samples were dissected to obtain the mineralogy samples

    Sample details Sample code used to label the krill sample

    Taxonomy bag barcode STD barcode for the bag that contains the taxonomy samples

    Image number The image number of the taxonomy sample in it's entirety before dissected to obtain the mineralogy sample. Image contains the label from the initial sample and the sub sample barcode (for taxonomy)

    Sub sample barcode (for taxonomy) The STD barcode allocated to the taxonomy sample

    Analyses label for mineralogy The number (identical to sub sample barcode number) that identifies the mineralogy sample and links it back to the taxonomic sample.

    Analysis sample weight The weight in grams of the dissected part that is the mineralogy sample.

    Mineralogy bag barcode STD barcode for the bag that contains the mineralogy samples

    Identification Biota sample identification eg. Gorgonian, bryozoan, ophiuroids

    Mineralogy sample size Relative size of sample sent off for mineralogy analysis; small sample, medium sample or large sample.

    Taxonomy sample size Relative size of sample small sample; medium sample or large sample (suitable for further analysis).

    Voyage The ANARE Voyage number and year is expressed as V4 02/03

    Station Station number that the samples were obtained from

    Date Date that the samples were taken during the voyage

    Time Time that the samples were taken during the voyage

    Location Location that the samples were taken from during the voyage

    Net The RMT 8 and 1 were used to collect the krill

    Depth The depth that the samples were obtained from (25 meters)

    Total mineralogy samples 1033 mineralogy samples + 15 bamboo coral samples (+ 12 krill samples) = 1060 samples

  3. g

    Chincoteague Bay surface carbon and nitrogen data from the spring sampling...

    • gimi9.com
    Updated Nov 29, 2017
    + more versions
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    (2017). Chincoteague Bay surface carbon and nitrogen data from the spring sampling trip of 2014 | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_chincoteague-bay-surface-carbon-and-nitrogen-data-from-the-spring-sampling-trip-of-2014/
    Explore at:
    Dataset updated
    Nov 29, 2017
    Area covered
    Chincoteague, Chincoteague Bay
    Description

    Following Hurricane Sandy, scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of estuarine, marsh, and sandy overwash surface sediments from Chincoteague Bay, Tom’s Cove, and the surrounding Assateague Island and Delmarva Peninsula in March–April and October 2014. Surplus surface sediment was analyzed for metals, percent carbon and nitrogen, d13C, and d15N as part of a complementary U.S. Geological Survey Coastal and Marine Geology Program Sea-level and Storm Impacts on Estuarine Environments and Shorelines project study. The geochemical subsample analyzed for metals and stable isotopes at each site may be used for comparison with past data sets, to create a modern baseline of the natural distribution of the area, to understand seasonal variability as it relates to the health of the local environment, and to assess marsh-to-bay interactions. The use of metals, stable carbon, and stable nitrogen isotopes allows for a more cohesive snapshot of factors influencing the environment and could aid in tracking environmental change. This report serves as an archive for chemical data derived from the surface sediment. Data are available for a seasonal comparison between the March–April 2014 and October 2014 sampling trips. Downloadable data are available as Microsoft Excel spreadsheets. Additional files include formal Federal Geographic Data Committee metadata (data downloads).

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John A. Heathcote (2019). How many samples are needed to prove the absence of contamination - an example using arsenic? [Dataset]. http://doi.org/10.6084/m9.figshare.7770920.v1
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Data from: How many samples are needed to prove the absence of contamination - an example using arsenic?

Related Article
Explore at:
xlsxAvailable download formats
Dataset updated
Feb 26, 2019
Dataset provided by
Geological Society of Londonhttp://www.geolsoc.org.uk/
Authors
John A. Heathcote
License

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

Description

An Excel spreadsheet containing the full dataset, showing its sub-sampling

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