Data provided by National Institute of Standards and Technology
This dataset contains raw datafiles that support the development of rapid gas chromatography mass spectrometry (GC-MS) methods for seized drug analysis. Files are provided in the native ".D" format collected from an Agilent GC-MS system. Files can be opened using Agilent proprietary software or freely available software such as AMDIS (which can be downloaded at chemdata.nist.gov). Included here is data of seized drug mixtures and adjudicated case samples that were analyzed as part of the method development process for rapid GC-MS. Information about the naming of datafiles and the contents of each mixture and case sample can be found in the associated Excel sheet ("File Names and Comments.xlsx").
About this Dataset
Updated: 2024-02-22
Metadata Last Updated:
2022-12-13 00:00:00
Date Created:
N/A
Views:
Data Provided by:
forensics
Dataset Owner:
N/A
| Title | Data to Support the Development of Rapid GC-MS Methods for Seized Drug Analysis |
|---|---|
| Description | This dataset contains raw datafiles that support the development of rapid gas chromatography mass spectrometry (GC-MS) methods for seized drug analysis. Files are provided in the native ".D" format collected from an Agilent GC-MS system. Files can be opened using Agilent proprietary software or freely available software such as AMDIS (which can be downloaded at chemdata.nist.gov). Included here is data of seized drug mixtures and adjudicated case samples that were analyzed as part of the method development process for rapid GC-MS. Information about the naming of datafiles and the contents of each mixture and case sample can be found in the associated Excel sheet ("File Names and Comments.xlsx"). |
| Modified | 2022-12-13 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | Forensics , Seized Drug , GC-MS |
{
"identifier": "ark:\/88434\/mds2-2862",
"accessLevel": "public",
"contactPoint": {
"hasEmail": "mailto:[email protected]",
"fn": "Edward Sisco"
},
"programCode": [
"006:045"
],
"@type": "dcat:Dataset",
"landingPage": "https:\/\/data.nist.gov\/od\/id\/mds2-2862",
"description": "This dataset contains raw datafiles that support the development of rapid gas chromatography mass spectrometry (GC-MS) methods for seized drug analysis. Files are provided in the native \".D\" format collected from an Agilent GC-MS system. Files can be opened using Agilent proprietary software or freely available software such as AMDIS (which can be downloaded at chemdata.nist.gov). Included here is data of seized drug mixtures and adjudicated case samples that were analyzed as part of the method development process for rapid GC-MS. Information about the naming of datafiles and the contents of each mixture and case sample can be found in the associated Excel sheet (\"File Names and Comments.xlsx\").",
"language": [
"en"
],
"title": "Data to Support the Development of Rapid GC-MS Methods for Seized Drug Analysis",
"distribution": [
{
"downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-2862\/NIST%20Public%20Data%20Repository%20%28Rapid%20GC-MS%20of%20Seized%20Drugs%29.zip",
"format": "Zip folder containing raw \".D\" files",
"description": "Representative datafiles from the development of rapid GC-MS methods for seized drug analysis.",
"mediaType": "application\/x-zip-compressed",
"title": "Rapid GC-MS Datafiles"
},
{
"downloadURL": "https:\/\/data.nist.gov\/od\/ds\/mds2-2862\/File%20Names%20and%20Comments.xlsx",
"description": "Excel sheet with information on the samples analyzed in each of the GC-MS datafiles.",
"mediaType": "application\/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"title": "File Names and Comments"
}
],
"license": "https:\/\/www.nist.gov\/open\/license",
"bureauCode": [
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],
"modified": "2022-12-13 00:00:00",
"publisher": {
"@type": "org:Organization",
"name": "National Institute of Standards and Technology"
},
"accrualPeriodicity": "irregular",
"theme": [
"Forensics:Drugs and toxicology"
],
"issued": "2023-02-01",
"keyword": [
"Forensics",
"Seized Drug",
"GC-MS"
]
}
