{
"id": "https://doi.org/10.5061/dryad.04t19",
"doi": "10.5061/DRYAD.04T19",
"url": "http://datadryad.org/stash/dataset/doi:10.5061/dryad.04t19",
"types": {
"ris": "DATA",
"bibtex": "misc",
"citeproc": "dataset",
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"creators": [
{
"name": "Boie, Sebastian D.",
"nameType": "Personal",
"givenName": "Sebastian D.",
"familyName": "Boie",
"affiliation": [
{
"name": "MIND Research Institute",
"affiliationIdentifier": "https://ror.org/00we1gw23",
"affiliationIdentifierScheme": "ROR"
}
],
"nameIdentifiers": []
},
{
"name": "Connor, Erin G.",
"nameType": "Personal",
"givenName": "Erin G.",
"familyName": "Connor",
"affiliation": [
{
"name": "University of Colorado Boulder",
"affiliationIdentifier": "https://ror.org/02ttsq026",
"affiliationIdentifierScheme": "ROR"
}
],
"nameIdentifiers": []
},
{
"name": "McHugh, Margaret",
"nameType": "Personal",
"givenName": "Margaret",
"familyName": "McHugh",
"affiliation": [
{
"name": "University of Colorado Boulder",
"affiliationIdentifier": "https://ror.org/02ttsq026",
"affiliationIdentifierScheme": "ROR"
}
],
"nameIdentifiers": []
},
{
"name": "Nagel, Katherine I.",
"nameType": "Personal",
"givenName": "Katherine I.",
"familyName": "Nagel",
"affiliation": [
{
"name": "New York University Langone Medical Center",
"affiliationIdentifier": "https://ror.org/005dvqh91",
"affiliationIdentifierScheme": "ROR"
}
],
"nameIdentifiers": []
},
{
"name": "Ermentrout, G. Bard",
"nameType": "Personal",
"givenName": "G. Bard",
"familyName": "Ermentrout",
"affiliation": [
{
"name": "University of Pittsburgh",
"affiliationIdentifier": "https://ror.org/01an3r305",
"affiliationIdentifierScheme": "ROR"
}
],
"nameIdentifiers": []
},
{
"name": "Crimaldi, John P.",
"nameType": "Personal",
"givenName": "John P.",
"familyName": "Crimaldi",
"affiliation": [
{
"name": "University of Colorado Boulder",
"affiliationIdentifier": "https://ror.org/02ttsq026",
"affiliationIdentifierScheme": "ROR"
}
],
"nameIdentifiers": []
},
{
"name": "Victor, Jonathan D.",
"nameType": "Personal",
"givenName": "Jonathan D.",
"familyName": "Victor",
"affiliation": [
{
"name": "MIND Research Institute",
"affiliationIdentifier": "https://ror.org/00we1gw23",
"affiliationIdentifierScheme": "ROR"
}
],
"nameIdentifiers": []
}
],
"titles": [
{
"title": "Data from: Information-theoretic analysis of realistic odor plumes: what cues are useful for determining location?"
}
],
"publisher": "Dryad",
"container": {},
"subjects": [],
"contributors": [],
"dates": [
{
"date": "2019-06-07T00:00:00Z",
"dateType": "Available"
},
{
"date": "2019",
"dateType": "Issued"
}
],
"publicationYear": 2019,
"language": "en",
"identifiers": [],
"sizes": [
"11792892688 bytes"
],
"formats": [],
"version": "1",
"rightsList": [
{
"rights": "Creative Commons Zero v1.0 Universal",
"rightsUri": "https://creativecommons.org/publicdomain/zero/1.0/legalcode",
"schemeUri": "https://spdx.org/licenses/",
"rightsIdentifier": "cc0-1.0",
"rightsIdentifierScheme": "SPDX"
}
],
"descriptions": [
{
"description": "Many species rely on olfaction to navigate towards food sources or mates. Olfactory navigation is a challenging task since odor environments are typically turbulent. While time-averaged odor concentration varies smoothly with the distance to the source, instaneous concentrations are intermittent and obtaining stable averages takes longer than the typical intervals between animalsâ€™ navigation decisions. How to effectively sample from the odor distribution to determine sampling location is the focus on this article. To investigate which sampling strategies are most informative about the location of an odor source, we recorded three naturalistic stimuli with planar lased-induced fluorescence and used an information-theoretic approach to quantify the information that different sampling strategies provide about sampling location. Specifically, we compared multiple sampling strategies based on a fixed number of coding bits for encoding the olfactory stimulus. When the coding bits were all allocated to representing odor concentration at a single sensor, information rapidly saturated. Using the same number of coding bits in two sensors provides more information, as does coding multiple samples at different times. When accumulating multiple samples at a fixed location, the temporal sequence does not yield a large amount of information and can be averaged with minimal loss. Furthermore, we show that histogram-equalization is not the most efficient way to use coding bits when using the olfactory sample to determine location.",
"descriptionType": "Abstract"
},
{
"description": "Fast Flow - average plume and snapshotsThe file contains three data sets: \"average\", \"snapshot_1\" and \"snapshot_2\". The data corresponds to Fig.1 (A1-A3).fastflow_snapshots.hdf5Slow Flow - averaged plume and snapshotsThe file contains three data sets: \"average\", \"snapshot_1\" and \"snapshot_2\". The data corresponds to Fig.1 (B1-B3).slowflow_snapshots.hdf5Boundary Flow - averaged plume and snapshotsThe file contains three data sets: \"average\", \"snapshot_1\" and \"snapshot_2\". The data corresponds to Fig.1 (C1-C3).boundaryflow_snapshots.hdf5Fast Flow - narrowgrid, single samplecontains (\"sample_0\" - \"sample_9\") and correspond to 4 minute epochs of timeseries data.fastflow_narrowgrid_single.hdf5Fast Flow - narrowgrid, binaral transversalcontains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).fastflow_narrowgrid_binaral_transversal.hdf5Fast Flow - narrowgrid, binaral longitudinalcontains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).fastflow_narrowgrid_binaral_longitudinal.hdf5Fast Flow - widegrid, single samplecontains (\"sample_0\" - \"sample_9\") and correspond to 4 minute epochs of timeseries data.fastflow_widegrid_single.hdf5Fast Flow, widegrid, binaral transversalcontains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).fastflow_widegrid_binaral_transversal.hdf5Fast Flow - widegrid, binaral longitudinalcontains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).fastflow_widegrid_binaral_longitudinal.hdf5Slow Flow - narrowgrid, single samplecontains (\"sample_0\" - \"sample_8\") and correspond to 4 minute epochs of timeseries data.slowflow_narrowgrid_single.hdf5Slow Flow - widegrid, single samplecontains (\"sample_0\" - \"sample_9\") and correspond to 4 minute epochs of timeseries data.slowflow_widegrid_single.hdf5Slow Flow - narrowgrid, binaral longitudinalcontains (\"sample_L_0\" - \"sample_L_8\") and (\"sample_R_0\" - \"sample_R_8\") which correspond to 4 minute epochs at two locations (left and right).slowflow_narrowgrid_binaral_longitudinal.hdf5Slow Flow - narrowgrid, binaral transversalcontains (\"sample_L_0\" - \"sample_L_8\") and (\"sample_R_0\" - \"sample_R_8\") which correspond to 4 minute epochs at two locations (left and right).slowflow_narrowgrid_binaral_transversal.hdf5Slow Flow - widegrid, binaral longitudinalcontains (\"sample_L_0\" - \"sample_L_8\") and (\"sample_R_0\" - \"sample_R_8\") which correspond to 4 minute epochs at two locations (left and right).slowflow_widegrid_binaral_longitudinal.hdf5Slow Flow - widegrid, binaral transversalcontains (\"sample_L_0\" - \"sample_L_8\") and (\"sample_R_0\" - \"sample_R_8\") which correspond to 4 minute epochs at two locations (left and right).slowflow_widegrid_binaral_transversal.hdf5Boundary Flow - narrowgrid, single samplecontains (\"sample_0\" - \"sample_9\") and correspond to 4 minute epochs of timeseries data.boundaryflow_narrowgrid_single.hdf5Boundary Flow - widegrid, single samplecontains (\"sample_0\" - \"sample_9\") and correspond to 4 minute epochs of timeseries data.boundaryflow_widegrid_binaral_single.hdf5Boundary Flow - narrowgrid, binaral longitudinalcontains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).boundaryflow_narrowgrid_binaral_longitudinal.hdf5Boundary Flow - narrowgrid, binaral transversalcontains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).boundaryflow_narrowgrid_binaral_transversal.hdf5Boundary Flow - widegrid, binaral longitudinalcontains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).boundaryflow_widegrid_binaral_longitudinal.hdf5Boundary Flow - widegrid, binaral transversalcontains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).boundaryflow_widegrid_binaral_transversal.hdf5Boundary Flow - narrowgrid, binaral transversal (half spacing)contains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).boundaryflow_narrowgrid_binaral_transversal_halfspacing.hdf5Boundary Flow - widegrid, binaral transversal (double spacing)contains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).boundaryflow_widegrid_binaral_transversal_doublespacing.hdf5Boundary Flow - widegrid, binaral transversal (half spacing)contains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).boundaryflow_widegrid_binaral_transversal_halfspacing.hdf5Fast Flow - narrowgrid, binaral transversal (double spacing)contains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).fastflow_narrowgrid_binaral_transversal_doublespacing.hdf5Fast Flow - narrowgrid, binaral transversal (half spacing)contains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).fastflow_narrowgrid_binaral_transversal_halfspacing.hdf5Fast Flow - widegrid, binaral transversal (double spacing)contains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).fastflow_widegrid_binaral_transversal_doublespacing.hdf5Fast Flow - widegrid, binaral transversal (half spacing)contains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).fastflow_widegrid_binaral_transversal_halfspacing.hdf5Slow Flow - narrowgrid, binaral transversal (double spacing)contains (\"sample_L_0\" - \"sample_L_8\") and (\"sample_R_0\" - \"sample_R_8\") which correspond to 4 minute epochs at two locations (left and right).slowflow_narrowgrid_binaral_transversal_doublespacing.hdf5Slow Flow - narrowgrid, binaral transversal (half spacing)contains (\"sample_L_0\" - \"sample_L_8\") and (\"sample_R_0\" - \"sample_R_8\") which correspond to 4 minute epochs at two locations (left and right).slowflow_narrowgrid_binaral_transversal_halfspacing.hdf5Slow Flow - widegrid, binaral transversal (double spacing)contains (\"sample_L_0\" - \"sample_L_8\") and (\"sample_R_0\" - \"sample_R_8\") which correspond to 4 minute epochs at two locations (left and right).slowflow_widegrid_binaral_transversal_doublespacing.hdf5Slow Flow - widegrid, binaral transversal (half spacing)contains (\"sample_L_0\" - \"sample_L_8\") and (\"sample_R_0\" - \"sample_R_8\") which correspond to 4 minute epochs at two locations (left and right).slowflow_widegrid_binaral_transversal_halfspacing.hdf5Boundary Flow - narrowgrid, binaral transversal (double spacing)contains (\"sample_L_0\" - \"sample_L_9\") and (\"sample_R_0\" - \"sample_R_9\") which correspond to 4 minute epochs at two locations (left and right).boundaryflow_narrowgrid_binaral_transversal_doublespacing.hdf5",
"descriptionType": "Other"
}
],
"geoLocations": [],
"fundingReferences": [
{
"funderName": "National Science Foundation",
"awardNumber": "NSF PHY1555891, NSF PHY1555862, NSF PHY 1555916, NSF PHY 1555933",
"funderIdentifier": "https://doi.org/10.13039/100000001",
"funderIdentifierType": "Crossref Funder ID"
}
],
"relatedIdentifiers": [
{
"relationType": "Cites",
"relatedIdentifier": "10.1371/journal.pcbi.1006275",
"relatedIdentifierType": "DOI"
}
],
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