<?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>5/14/2026 9:50:38 AM</date>
    <query_method>GET</query_method>
    <query_parameter>o=32802</query_parameter>
  </source>
  <metadata type="partial" time="0.0156285000048229">
    <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="0.0484394999948563">
    <data_database db_id="d7">
      <data_class class_id="c40" version="2">
        <object id="o32802" name="Activity Pattern for Isoamyl Acetate - 520ppm/D" description="" uid="" version="5" version_date="2/1/2005 4:01:46 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="Dorsal" />
          <att_value att_id="a124" value="1-20" />
          <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="a130" value="Odor map generated from 20 serial coronal OB slices arranged from anterior (left) to posterior (right). Primary activities occur in the dorsolateral and posteromedial regions." />
          <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="iaa-520-d.jpg" file_size="24912 Bytes" mime_type="image/jpeg" value_object_id="o32802" value="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" />
          <att_value att_id="a239" value="8" />
          <att_value att_id="a240" value="4" />
          <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>

