Paternity in naturally-occurring Utetheisa ornatrix (Lepidoptera : Arctiidae) as estimated using enzyme polymorphism View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1994-06

AUTHORS

Craig W. LaMunyon

ABSTRACT

Paternity of offspring in natural populations of insects has received little attention due to the difficulties inherent in following females and sampling each of their mates. Here, an existing statistical technique is modified to estimate paternity based on allozyme variation found in the female and her last mate, thus allowing paternity in nature to be studied by collecting copulating pairs of insects. Using this technique, paternity was investigated in naturally-occurring females of the arctiid moth Utetheisa ornatrix. These females mate promiscuously: upon dissection, they were found to contain up to 13 spermatophores. Statistical paternity estimation revealed considerable variation in the share of offspring sired by the female's last mate: approximately 25% of the males sired all the offspring, while another 25% fathered no offspring; the remainder sired at least some offspring. The proportion of offspring sired by the last male did not correlate with latency to oviposition, the extent of previous mating by the female, or male wing length. Male U. ornatrix are known to make substantial nuptial investments during mating, and this study shows that mating males frequently sire few or no offspring. Thus, male moths stand a chance of being cuckolded. More... »

PAGES

403-408

Journal

TITLE

Behavioral Ecology and Sociobiology

ISSUE

6

VOLUME

34

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00167331

DOI

http://dx.doi.org/10.1007/bf00167331

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1009318124


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Genetics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Cornell University", 
          "id": "https://www.grid.ac/institutes/grid.5386.8", 
          "name": [
            "Section of Neurobiology and Behavior, Cornell University, 14853, Ithaca, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "LaMunyon", 
        "givenName": "Craig W.", 
        "id": "sg:person.0756132007.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756132007.01"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/bf00164288", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000106833", 
          "https://doi.org/10.1007/bf00164288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.85.16.5992", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001324544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00166397", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002884173", 
          "https://doi.org/10.1007/bf00166397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.88.20.9224", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009368440"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-3472(05)80509-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009834710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00302519", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010321340", 
          "https://doi.org/10.1007/bf00302519"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.90.10.4689", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011146446"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/338418a0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018176236", 
          "https://doi.org/10.1038/338418a0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1469-185x.1970.tb01176.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020130628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00294979", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020303708", 
          "https://doi.org/10.1007/bf00294979"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00302942", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021037979", 
          "https://doi.org/10.1007/bf00302942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2311.1991.tb00191.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032296884"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0003-3472(05)80904-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033681002"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-3032.1990.tb00498.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034633316"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00324433", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037861313", 
          "https://doi.org/10.1007/bf00324433"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1439-0310.1986.tb00572.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041089234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1439-0310.1986.tb00572.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041089234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00303052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043249208", 
          "https://doi.org/10.1007/bf00303052"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00299728", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048400267", 
          "https://doi.org/10.1007/bf00299728"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1139/f79-156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049260043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00163987", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050119011", 
          "https://doi.org/10.1007/bf00163987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1439-0310.1985.tb00758.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050978012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/284914", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058595037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jee/61.2.477", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059772172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1257758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062470197"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.7209536", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062644947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/3494747", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070343312"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4159/harvard.9780674433960", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1099323239"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1994-06", 
    "datePublishedReg": "1994-06-01", 
    "description": "Paternity of offspring in natural populations of insects has received little attention due to the difficulties inherent in following females and sampling each of their mates. Here, an existing statistical technique is modified to estimate paternity based on allozyme variation found in the female and her last mate, thus allowing paternity in nature to be studied by collecting copulating pairs of insects. Using this technique, paternity was investigated in naturally-occurring females of the arctiid moth Utetheisa ornatrix. These females mate promiscuously: upon dissection, they were found to contain up to 13 spermatophores. Statistical paternity estimation revealed considerable variation in the share of offspring sired by the female's last mate: approximately 25% of the males sired all the offspring, while another 25% fathered no offspring; the remainder sired at least some offspring. The proportion of offspring sired by the last male did not correlate with latency to oviposition, the extent of previous mating by the female, or male wing length. Male U. ornatrix are known to make substantial nuptial investments during mating, and this study shows that mating males frequently sire few or no offspring. Thus, male moths stand a chance of being cuckolded.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf00167331", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1085476", 
        "issn": [
          "0340-5443", 
          "1432-0762"
        ], 
        "name": "Behavioral Ecology and Sociobiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "34"
      }
    ], 
    "name": "Paternity in naturally-occurring Utetheisa ornatrix (Lepidoptera : Arctiidae) as estimated using enzyme polymorphism", 
    "pagination": "403-408", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2c636e637375d79c0645ef3143b1ec12446067be65f5dd6f3300bf431d2ad320"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf00167331"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1009318124"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf00167331", 
      "https://app.dimensions.ai/details/publication/pub.1009318124"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:48", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000371_0000000371/records_130793_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/BF00167331"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/bf00167331'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/bf00167331'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf00167331'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf00167331'


 

This table displays all metadata directly associated to this object as RDF triples.

152 TRIPLES      21 PREDICATES      54 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf00167331 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N1fb94f2fa76743fc8c10ac5d157e3d3a
4 schema:citation sg:pub.10.1007/bf00163987
5 sg:pub.10.1007/bf00164288
6 sg:pub.10.1007/bf00166397
7 sg:pub.10.1007/bf00294979
8 sg:pub.10.1007/bf00299728
9 sg:pub.10.1007/bf00302519
10 sg:pub.10.1007/bf00302942
11 sg:pub.10.1007/bf00303052
12 sg:pub.10.1007/bf00324433
13 sg:pub.10.1038/338418a0
14 https://doi.org/10.1016/s0003-3472(05)80509-3
15 https://doi.org/10.1016/s0003-3472(05)80904-2
16 https://doi.org/10.1073/pnas.85.16.5992
17 https://doi.org/10.1073/pnas.88.20.9224
18 https://doi.org/10.1073/pnas.90.10.4689
19 https://doi.org/10.1086/284914
20 https://doi.org/10.1093/jee/61.2.477
21 https://doi.org/10.1111/j.1365-2311.1991.tb00191.x
22 https://doi.org/10.1111/j.1365-3032.1990.tb00498.x
23 https://doi.org/10.1111/j.1439-0310.1985.tb00758.x
24 https://doi.org/10.1111/j.1439-0310.1986.tb00572.x
25 https://doi.org/10.1111/j.1469-185x.1970.tb01176.x
26 https://doi.org/10.1126/science.1257758
27 https://doi.org/10.1126/science.7209536
28 https://doi.org/10.1139/f79-156
29 https://doi.org/10.2307/3494747
30 https://doi.org/10.4159/harvard.9780674433960
31 schema:datePublished 1994-06
32 schema:datePublishedReg 1994-06-01
33 schema:description Paternity of offspring in natural populations of insects has received little attention due to the difficulties inherent in following females and sampling each of their mates. Here, an existing statistical technique is modified to estimate paternity based on allozyme variation found in the female and her last mate, thus allowing paternity in nature to be studied by collecting copulating pairs of insects. Using this technique, paternity was investigated in naturally-occurring females of the arctiid moth Utetheisa ornatrix. These females mate promiscuously: upon dissection, they were found to contain up to 13 spermatophores. Statistical paternity estimation revealed considerable variation in the share of offspring sired by the female's last mate: approximately 25% of the males sired all the offspring, while another 25% fathered no offspring; the remainder sired at least some offspring. The proportion of offspring sired by the last male did not correlate with latency to oviposition, the extent of previous mating by the female, or male wing length. Male U. ornatrix are known to make substantial nuptial investments during mating, and this study shows that mating males frequently sire few or no offspring. Thus, male moths stand a chance of being cuckolded.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree false
37 schema:isPartOf N65c2de43e7f7459fb2a7f0ffafe2dc21
38 Ne597234df4644cecabda96a7ad12c4fe
39 sg:journal.1085476
40 schema:name Paternity in naturally-occurring Utetheisa ornatrix (Lepidoptera : Arctiidae) as estimated using enzyme polymorphism
41 schema:pagination 403-408
42 schema:productId N330fafee5f9e4fa19ccdec4c3fde0a63
43 N8967a9888dd74045b2b806ad56d2f331
44 Nd8d659e0d59a4e7d8c763da190ce70cb
45 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009318124
46 https://doi.org/10.1007/bf00167331
47 schema:sdDatePublished 2019-04-11T13:48
48 schema:sdLicense https://scigraph.springernature.com/explorer/license/
49 schema:sdPublisher N2ff1c73006044e62a0c02e00fcafef86
50 schema:url http://link.springer.com/10.1007/BF00167331
51 sgo:license sg:explorer/license/
52 sgo:sdDataset articles
53 rdf:type schema:ScholarlyArticle
54 N1fb94f2fa76743fc8c10ac5d157e3d3a rdf:first sg:person.0756132007.01
55 rdf:rest rdf:nil
56 N2ff1c73006044e62a0c02e00fcafef86 schema:name Springer Nature - SN SciGraph project
57 rdf:type schema:Organization
58 N330fafee5f9e4fa19ccdec4c3fde0a63 schema:name doi
59 schema:value 10.1007/bf00167331
60 rdf:type schema:PropertyValue
61 N65c2de43e7f7459fb2a7f0ffafe2dc21 schema:issueNumber 6
62 rdf:type schema:PublicationIssue
63 N8967a9888dd74045b2b806ad56d2f331 schema:name readcube_id
64 schema:value 2c636e637375d79c0645ef3143b1ec12446067be65f5dd6f3300bf431d2ad320
65 rdf:type schema:PropertyValue
66 Nd8d659e0d59a4e7d8c763da190ce70cb schema:name dimensions_id
67 schema:value pub.1009318124
68 rdf:type schema:PropertyValue
69 Ne597234df4644cecabda96a7ad12c4fe schema:volumeNumber 34
70 rdf:type schema:PublicationVolume
71 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
72 schema:name Biological Sciences
73 rdf:type schema:DefinedTerm
74 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
75 schema:name Genetics
76 rdf:type schema:DefinedTerm
77 sg:journal.1085476 schema:issn 0340-5443
78 1432-0762
79 schema:name Behavioral Ecology and Sociobiology
80 rdf:type schema:Periodical
81 sg:person.0756132007.01 schema:affiliation https://www.grid.ac/institutes/grid.5386.8
82 schema:familyName LaMunyon
83 schema:givenName Craig W.
84 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756132007.01
85 rdf:type schema:Person
86 sg:pub.10.1007/bf00163987 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050119011
87 https://doi.org/10.1007/bf00163987
88 rdf:type schema:CreativeWork
89 sg:pub.10.1007/bf00164288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000106833
90 https://doi.org/10.1007/bf00164288
91 rdf:type schema:CreativeWork
92 sg:pub.10.1007/bf00166397 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002884173
93 https://doi.org/10.1007/bf00166397
94 rdf:type schema:CreativeWork
95 sg:pub.10.1007/bf00294979 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020303708
96 https://doi.org/10.1007/bf00294979
97 rdf:type schema:CreativeWork
98 sg:pub.10.1007/bf00299728 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048400267
99 https://doi.org/10.1007/bf00299728
100 rdf:type schema:CreativeWork
101 sg:pub.10.1007/bf00302519 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010321340
102 https://doi.org/10.1007/bf00302519
103 rdf:type schema:CreativeWork
104 sg:pub.10.1007/bf00302942 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021037979
105 https://doi.org/10.1007/bf00302942
106 rdf:type schema:CreativeWork
107 sg:pub.10.1007/bf00303052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043249208
108 https://doi.org/10.1007/bf00303052
109 rdf:type schema:CreativeWork
110 sg:pub.10.1007/bf00324433 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037861313
111 https://doi.org/10.1007/bf00324433
112 rdf:type schema:CreativeWork
113 sg:pub.10.1038/338418a0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018176236
114 https://doi.org/10.1038/338418a0
115 rdf:type schema:CreativeWork
116 https://doi.org/10.1016/s0003-3472(05)80509-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009834710
117 rdf:type schema:CreativeWork
118 https://doi.org/10.1016/s0003-3472(05)80904-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033681002
119 rdf:type schema:CreativeWork
120 https://doi.org/10.1073/pnas.85.16.5992 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001324544
121 rdf:type schema:CreativeWork
122 https://doi.org/10.1073/pnas.88.20.9224 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009368440
123 rdf:type schema:CreativeWork
124 https://doi.org/10.1073/pnas.90.10.4689 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011146446
125 rdf:type schema:CreativeWork
126 https://doi.org/10.1086/284914 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058595037
127 rdf:type schema:CreativeWork
128 https://doi.org/10.1093/jee/61.2.477 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059772172
129 rdf:type schema:CreativeWork
130 https://doi.org/10.1111/j.1365-2311.1991.tb00191.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032296884
131 rdf:type schema:CreativeWork
132 https://doi.org/10.1111/j.1365-3032.1990.tb00498.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1034633316
133 rdf:type schema:CreativeWork
134 https://doi.org/10.1111/j.1439-0310.1985.tb00758.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1050978012
135 rdf:type schema:CreativeWork
136 https://doi.org/10.1111/j.1439-0310.1986.tb00572.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1041089234
137 rdf:type schema:CreativeWork
138 https://doi.org/10.1111/j.1469-185x.1970.tb01176.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1020130628
139 rdf:type schema:CreativeWork
140 https://doi.org/10.1126/science.1257758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062470197
141 rdf:type schema:CreativeWork
142 https://doi.org/10.1126/science.7209536 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062644947
143 rdf:type schema:CreativeWork
144 https://doi.org/10.1139/f79-156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049260043
145 rdf:type schema:CreativeWork
146 https://doi.org/10.2307/3494747 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070343312
147 rdf:type schema:CreativeWork
148 https://doi.org/10.4159/harvard.9780674433960 schema:sameAs https://app.dimensions.ai/details/publication/pub.1099323239
149 rdf:type schema:CreativeWork
150 https://www.grid.ac/institutes/grid.5386.8 schema:alternateName Cornell University
151 schema:name Section of Neurobiology and Behavior, Cornell University, 14853, Ithaca, New York, USA
152 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...