<?xml version="1.0"?>
<edsp version="3.1" about_me="http://ycmi.med.yale.edu/EAVCR/EDSP" source="Olfactory Receptors Database">
  <source>
    <type>eav/cr</type>
    <name>Data Store:SenseLab</name>
    <location>ordb.biotech.ttu.edu</location>
    <date>4/6/2026 1:27:15 AM</date>
    <query_method>GET</query_method>
    <query_parameter>o=32809</query_parameter>
  </source>
  <metadata type="partial" time="0.0156275000008463">
    <datatypes>
      <datatype id="B" name="Boolean" xml_datatype="xs:boolean" />
      <datatype id="C" name="Object/Ref" xml_datatype="xs:long" />
      <datatype id="D" name="Datetime" xml_datatype="xs:dateTime" />
      <datatype id="F" name="Formula(only)" xml_datatype="xs:anyType" />
      <datatype id="H" name="Hierarchy(p)" xml_datatype="xs:long" />
      <datatype id="I" name="Integer" xml_datatype="xs:long" />
      <datatype id="M" name="Memo" xml_datatype="xs:string" />
      <datatype id="R" name="Real" xml_datatype="xs:double" />
      <datatype id="S" name="String" xml_datatype="xs:string" />
      <datatype id="V" name="Object/Value" xml_datatype="xs:long" />
      <datatype id="W" name="Object/Ref(MC)" xml_datatype="xs:long" />
      <datatype id="Y" name="Binary" xml_datatype="xs:base64Binary" />
    </datatypes>
    <metadata_ontology>
      <sem_type_atts />
      <sem_rel_types />
      <sem_rel_att />
    </metadata_ontology>
    <database id="d7" name="odormapdb" caption="OdorMapDB" caption_long="Odor Map Database" description="OdorMapDB is designed to be a database to support the experimental analysis of the molecular and functional organization of the olfactory bulb and its basis for the perception of smell." main_class="40" version="3" version_date="4/8/2002 11:21:57 AM">
      <class id="c40" name="odormap" caption="Odor Map" description="Contains information about activity patterns of odorants in the olfactory bulb glomerular layer." object_description_hide="false" type="E" is_concept="true" host_concepts="false" uid="" version="2" version_date="4/9/2002 11:46:55 AM">
        <att id="a115" dt_id="S" sn="4" name="species" caption="Species" description="Species" width="20" is_concept="true" host_concepts="false" uid="C0449420" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a116" dt_id="S" sn="6" name="strain" caption="Strain" description="" width="20" is_concept="true" host_concepts="false" srt_id="s" sra_id="s" version="2" version_date="4/2/2002 12:00:02 AM" />
        <att id="a117" dt_id="S" sn="8" name="sex" caption="Sex" description="Gender of subject " width="20" is_concept="true" host_concepts="false" uid="C0079399" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a118" dt_id="S" sn="10" name="age" caption="Age" description="" width="20" is_concept="true" host_concepts="false" uid="C0001779" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a119" dt_id="S" sn="12" name="weight" caption="Weight" description="" width="20" is_concept="true" host_concepts="false" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a120" dt_id="S" sn="14" name="region" caption="Brain Region" description="Brain Region" width="50" is_concept="true" host_concepts="false" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a121" dt_id="S" sn="16" name="sub_region" caption="Sub Region" description="Sub Region" width="50" is_concept="true" host_concepts="false" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a122" dt_id="S" sn="18" name="side" caption="Side" description="Left or Right Side" width="20" is_concept="true" host_concepts="false" uid="C0441987" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a123" dt_id="S" sn="20" name="view" caption="View" description="Dorsal or Ventral View" width="20" is_concept="false" host_concepts="false" uid="C0449911" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a124" dt_id="S" sn="22" name="serial_number" caption="Serial Number" description="Sample label at scanning" width="20" is_concept="false" host_concepts="false" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a125" dt_id="C" sn="24" name="odor" caption="Odor" description="" ref_class="c1" ref_class_name="odors" mi="true" is_concept="true" host_concepts="true" uid="C0028884" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a336" dt_id="C" sn="25" name="odorant_blend" caption="Odorant Blend" description="" ref_class="c96" ref_class_name="odorant_blend" mi="true" is_concept="false" host_concepts="true" srt_id="s" sra_id="s" version="5" version_date="5/16/2006 3:29:24 PM" />
        <att id="a126" dt_id="S" sn="26" name="concentration" caption="Concentration" description="Concentration of odorant" width="50" is_concept="true" host_concepts="false" uid="C0086045" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a127" dt_id="S" sn="28" name="exposure_time" caption="Exposure Time" description="Exposure time of animals to odors" width="50" is_concept="true" host_concepts="false" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a325" dt_id="S" sn="29" name="exposure_frequency" caption="Exposure Frequency" description="" width="50" is_concept="false" host_concepts="false" srt_id="s" sra_id="s" version="2" version_date="3/16/2005 5:10:16 PM" />
        <att id="a128" dt_id="C" sn="30" name="method" caption="Method" description="Experimental method" ref_class="c41" ref_class_name="method" mi="false" is_concept="true" host_concepts="true" srt_id="s" sra_id="s" version="2" version_date="4/2/2002 12:00:02 AM" />
        <att id="a130" dt_id="M" sn="34" name="description" caption="Note" description="For long legends" is_concept="false" host_concepts="false" srt_id="s" sra_id="s" version="2" version_date="10/31/2003 4:38:41 PM" />
        <att id="a131" dt_id="S" sn="36" name="authors" caption="Authors" description="For short display" width="250" is_concept="false" host_concepts="false" uid="C0221192" srt_id="s" sra_id="s" version="2" version_date="11/2/2003 3:26:42 PM" />
        <att id="a324" dt_id="S" sn="39" name="pubmed_id" caption="PubMed_ID" description="Reference to related publication" width="20" is_concept="false" host_concepts="false" srt_id="s" sra_id="s" version="2" version_date="11/21/2006 2:16:50 PM" />
        <att id="a133" dt_id="Y" sn="40" name="picture" caption="Map Picture" description="Image of odor maps" is_concept="true" host_concepts="false" srt_id="s" sra_id="s" version="1" version_date="4/2/2002 12:00:02 AM" />
        <att id="a239" dt_id="S" sn="41" name="scan_number_control" caption="Scan Number Control" description="" width="20" is_concept="false" host_concepts="false" srt_id="s" sra_id="s" version="1" version_date="6/10/2003 2:11:33 PM" />
        <att id="a240" dt_id="S" sn="42" name="scan_number_stimulate" caption="Scan Number Stimulate" description="" width="20" is_concept="false" host_concepts="false" srt_id="s" sra_id="s" version="1" version_date="6/10/2003 2:12:10 PM" />
        <att id="a241" dt_id="S" sn="43" name="subject_count" caption="Subject Count" description="" width="50" is_concept="false" host_concepts="false" srt_id="s" sra_id="s" version="3" version_date="3/16/2005 5:11:38 PM" />
        <att id="a242" dt_id="S" sn="44" name="image_resolution" caption="Image Resolution" description="" width="20" is_concept="false" host_concepts="false" srt_id="s" sra_id="s" version="1" version_date="6/10/2003 2:13:29 PM" />
        <att id="a243" dt_id="S" sn="45" name="image_size" caption="Image Size" description="" width="20" is_concept="false" host_concepts="false" srt_id="s" sra_id="s" version="1" version_date="6/10/2003 2:13:59 PM" />
        <att id="a296" dt_id="C" sn="45" name="primary_data" caption="Primary Data" description="" ref_class="c90" ref_class_name="primary_data" mi="true" is_concept="false" host_concepts="false" srt_id="s" sra_id="s" version="1" version_date="11/2/2003 2:40:32 PM" />
        <att id="a350" dt_id="C" sn="48" name="behavioral_study" caption="Behavioral Study" description="" ref_class="c99" ref_class_name="behavioral_study" mi="true" is_concept="false" host_concepts="false" srt_id="s" sra_id="s" version="2" version_date="5/16/2006 3:18:54 PM" />
      </class>
    </database>
  </metadata>
  <data time="0.0468730999991749">
    <data_database db_id="d7">
      <data_class class_id="c40" version="2">
        <object id="o32809" name="Activity Pattern for Isoamyl Acetate - 520ppm/M *" description="" uid="" version="4" version_date="2/1/2005 4:02:34 PM">
          <att_value att_id="a115" value="Rat" />
          <att_value att_id="a116" value="Sprague-Dawley" />
          <att_value att_id="a117" value="Male" />
          <att_value att_id="a119" value="300 grams" />
          <att_value att_id="a120" value="Olfactory bulb" />
          <att_value att_id="a121" value="Glomerular layer" />
          <att_value att_id="a122" value="Right" />
          <att_value att_id="a123" value="Medial" />
          <att_value att_id="a125" value="o106" serial_no="0" value_object_name="ISOAMYL ACETATE" />
          <att_value att_id="a126" value="520 ppm" />
          <att_value att_id="a127" value="128 seconds" />
          <att_value att_id="a128" value="o3611" value_object_name="fMRI" />
          <att_value att_id="a131" value="Nian Liu, Fuqiang Xu, Luis Marenco, Fahmeed Hyder, Perry Miller, and Gordon M. Shepherd" />
          <att_value att_id="a324" value="15067166" />
          <att_value att_id="a133" encoding="Base64" filename="t-27-10-right.jpg" file_size="24776 Bytes" mime_type="image/jpeg" value_object_id="o32809" value="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" />
          <att_value att_id="a239" value="8" />
          <att_value att_id="a240" value="4" />
          <att_value att_id="a241" value="1" />
          <att_value att_id="a242" value="72 pixels/inch" />
          <att_value att_id="a243" value="3.61 X 7.39 inches" />
          <att_value att_id="a296" value="o32736" serial_no="0" value_object_name="Activity Pattern for Isoamyl Acetate" />
        </object>
      </data_class>
    </data_database>
  </data>
</edsp>

