Data

Data set for multi-dimensional machine learning of polyaniline films using stitched hyperspectral data

La Trobe University
Associate Professor Paul Pigram (Aggregated by) Benjamin Muir (Aggregated by) David Winkler (Aggregated by) Dilek Yalcin (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26181/22186489.v1&rft.title=Data set for multi-dimensional machine learning of polyaniline films using stitched hyperspectral data&rft.identifier=10.26181/22186489.v1&rft.publisher=La Trobe University&rft.description=ToF-SIMS hyperspectral imaging data, presented as an unfolded array. Nine individual ToF-SIMS images stiched together from either positive or negative ion mode. Each row represents a sample treatment and the colums are sample replicates.  &rft.creator=Associate Professor Paul Pigram&rft.creator=Benjamin Muir&rft.creator=David Winkler&rft.creator=Dilek Yalcin&rft.creator=Dilek Yalcin&rft.creator=Eric A. Bruton&rft.creator=Paul Pigram&rft.creator=Sarah Bamford&rft.creator=Shaun Howard&rft.creator=Thomas M. Kohl&rft.creator=Wil Gardner&rft.date=2023&rft_rights= https://creativecommons.org/licenses/by-nc-sa/4.0/&rft_subject=Inorganic chemistry not elsewhere classified&rft_subject=Polymerisation mechanisms&rft_subject=Macromolecular and materials chemistry not elsewhere classified&rft_subject=Other physical sciences not elsewhere classified&rft_subject=Functional materials&rft_subject=Physical properties of materials&rft_subject=Inorganic materials (incl. nanomaterials)&rft_subject=Macromolecular materials&rft_subject=Structure and dynamics of materials&rft_subject=ToF-SIMS&rft_subject=Surface Analysis&rft_subject=Polyaniline&rft_subject=machiene learning&rft_subject=Hyperspectral Data&rft_subject=Depth Profiling&rft_subject=Inorganic Chemistry&rft_subject=Polymerisation Mechanisms&rft_subject=Synthesis of Materials&rft_subject=Physical Sciences not elsewhere classified&rft_subject=Functional Materials&rft_subject=Physical Chemistry of Materials&rft_subject=Chemical Characterisation of Materials&rft.type=dataset&rft.language=English Access the data
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ToF-SIMS hyperspectral imaging data, presented as an unfolded array. Nine individual ToF-SIMS images stiched together from either positive or negative ion mode. Each row represents a sample treatment and the colums are sample replicates.  

Issued: 12 05 2023

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Subjects
Chemical Characterisation of Materials | Depth Profiling | Functional Materials | Functional materials | Hyperspectral Data | Inorganic Chemistry | Inorganic chemistry not elsewhere classified | Inorganic materials (incl. nanomaterials) | Macromolecular and materials chemistry not elsewhere classified | Macromolecular materials | Other physical sciences not elsewhere classified | Physical Chemistry of Materials | Physical Sciences not elsewhere classified | Physical properties of materials | Polyaniline | Polymerisation Mechanisms | Polymerisation mechanisms | Structure and dynamics of materials | Surface Analysis | Synthesis of Materials | ToF-SIMS | machiene learning |

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Identifiers
ACN 633 798 857