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Clear All Facet Fields Command

Syntax

The clear all facet fields command uses the following syntax and takes no arguments: clearAllFacetFields().

Function

The clear all facet fields command removes all facet fields from the request.

Example - Using the clear all facet fields command

This clear all facet fields command removes facet fields and leaves everything else in the query:

s.pn=3&s.ps=10&s.q=bullfrog&s.ff=ContentType,or,2,15&s.ff=SubjectTerms,and&s.cmd=clearAllFacetFields()

Example response

s.pn=3&s.ps=10&s.q=bullfrog&s.ff=ContentType,or,2,15&s.ff=SubjectTerms,and&s.cmd=clearAllFacetFields()

{
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  "sessionId":"test-application-74703",
  "elapsedQueryTime":9,
  "queryTime":140,
  "totalRequestTime":162,
  "pageCount":15047,
  "recordCount":150468,
  "query":{
    "queryString":"s.secure=f&s.q=bullfrog&s.ps=10&s.pn=3",
    "pageNumber":3,
    "pageSize":10,
    "textQueries":[
      {
        "textQuery":"bullfrog",
        "removeCommand":"removeTextQuery(bullfrog)"
      }
    ],
    "searchTerms":[
      
    ],
    "textFilters":[
      
    ],
    "rangeFilters":[
      
    ],
    "facetValueFilters":[
      
    ],
    "inclusiveFacetValueFilters":[
      
    ],
    "facetValueGroupFilters":[
      
    ],
    "facetFields":[
      
    ],
    "rangeFacetFields":[
      
    ],
    "sort":[
      
    ]
  },
  "facetFields":[
    
  ],
  "rangeFacetFields":[
    
  ],
  "didYouMeanSuggestions":[
    
  ],
  "recommendationLists":{
    
  },
  "documents":[
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      "link":"http://demo.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV09T8MwED1VXWDh-xukTEyYkBhoKlWVKiAwlKlIjJYtO-0CRk75W_xG7uzGEFSGStnO8emSk_zu2X4HsI8Yac5-7b8yhKyeDJiMbu5fi2f8wx1ottbpHKX1d-PafTWIGG_kjlKJCKoiMVgCJAX1SaETkBmJD2bByFpGZhgCCarksfijvgaPo0lkXgh19DgP-jrhhXwhxRMnCNfdgmyUX2nKTfhq7utM7SW1tiKEholBDIIzYQGyLv2o_xijsCOmHOYePv-EjJagH1v-qDz52MIhhiWhNwOWBr8Fa1Grdhs65n0HDsYLDrROzpNxlG2ud2FjMBsqrHkrZ6eDdDbcA14-vNw9MfwKwjorwl41F96faPkTiCIFeeSHkHDdq_pcyUwrea21LMxtLvOrSmFhp_qGH8HFKlMerzb8BNYD90oUySl05-7TnEFXmzf7DTs4tRY",
      "ExternalDocumentID":[
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      ],
      "IngestDate":[
        "Fri Apr 28 10:27:42 EDT 2017"
      ],
      "PublicationDate_xml":[
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          "year":"2007",
          "text":"2007-01-01",
          "day":"01"
        }
      ],
      "Score":[
        "26.635721"
      ],
      "URI":[
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      ],
      "Publisher_xml":[
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      ],
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      ],
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      ],
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      ],
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      ],
      "PublicationTitle":[
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      ],
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        "ICI",
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      ],
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      ],
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        "Publisher"
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      ],
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        "9780192806888"
      ],
      "EISBN":[
        "0191727059",
        "9780191727054"
      ],
      "PublicationYear":[
        "2007"
      ],
      "SSID":[
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      ],
      "Title":[
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      ],
      "PublicationDate":[
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      ],
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      "isPrint":false,
      "inHoldings":true,
      "availabilityId":"C7D 004189941",
      "openUrl":"ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.title=The+big+mouth+bullfrog&rft.au=Caldwell%2C+Malcolm+Jones&rft.date=1972-01-01&rft.pub=Wofford+Library+Press&rft.externalDocID=004189941",
      "link":"http://demo.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwY2AQA7aRSnSR5l91gU1W8GBAsKOpS7iFLzCGmRhg9zbCjhtGX8sMEQdNk7qEeruCjoUC9gxAO9SZTY0NICfkIA7wN4YWb26CDCygPQJCDEypecIM4j7QMb9iBTUFH_gxxcUiDLLASFBIykxXyAVdVKdgk2GXBOzxpRXlp9voZ9iJMsi6uYY4e-iCjI-HjqPEw91gJMGgYJxinmZpnJRomJKUaJKSkmiRamaUaGSQlgTswCRZphpLMohh1yyFS0KagQt0BRikey_DwJoGTH6pskAvpubmAwBMqV3j",
      "ExternalDocumentID":[
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      ],
      "Source":[
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      ],
      "LCCN":[
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      ],
      "IngestDate":[
        "Sat Sep 30 20:32:57 EDT 2017"
      ],
      "DBID":[
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      "PublicationDate_xml":[
        {
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          "text":"1972. "
        }
      ],
      "Score":[
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      ],
      "CorporateAuthor_xml":[
        {
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        }
      ],
      "PublicationPlace":[
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      ],
      "PublicationPlace_xml":[
        {
          "name":"Spartanburg, S.C"
        }
      ],
      "Publisher_xml":[
        {
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        }
      ],
      "ID":[
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      ],
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      ],
      "Language":[
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      ],
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      ],
      "PublicationCentury":[
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      ],
      "IsScholarly":[
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      ],
      "PublicationDecade":[
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      ],
      "Library":[
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      ],
      "CorporateAuthor":[
        "Wofford Library Press (Spartanburg, S.C.)"
      ],
      "SubjectTermsDisplay":[
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        "Juvenile literature."
      ],
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      ],
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        "Frogs"
      ],
      "RelatedCompanies":[
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      ],
      "Discipline":[
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      ],
      "ContentType":[
        "Book"
      ],
      "SourceType":[
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      ],
      "Author_xml":[
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          "fullname":"Caldwell, Malcolm Jones"
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      ],
      "PublicationYear":[
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      ],
      "Title":[
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      ],
      "PageCount":[
        "16"
      ],
      "PublicationDate":[
        "1972."
      ],
      "OCLC":[
        "01322568"
      ],
      "Notes":[
        "First and last leaves blank.",
        "1972",
        "\"About 50 copies were printed ... by Mal J. Caldwell. ... Illustrations were performed by Caldwell with hand carving on linoleum blocks.\" -- Colophon.",
        "former call number: E 12mo #7673"
      ],
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      "IsPeerReviewed":[
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      ],
      "Database_xml":[
        {
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          "dbid":"C7D",
          "name":"Duke University Library Catalog",
          "url":"https://go.openathens.net/redirector/ps.openathens.net?url=http%3A%2F%2Ffind.library.duke.edu%2F%3Ftype%3Dbooks",
          "sourceTypes":[
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      "LinkModel":[
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      ],
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      "Title":[
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      "Issue":[
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      ],
      "DBID":[
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      ],
      "IngestDate":[
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        "Sat Oct 28 07:23:25 EDT 2017",
        "Tue Oct 17 21:01:18 EDT 2017",
        "Thu Oct 19 23:01:11 EDT 2017",
        "Fri Sep 15 14:54:34 EDT 2017"
      ],
      "PublicationDate_xml":[
        {
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          "year":"2007",
          "text":"July 2007"
        }
      ],
      "AuthorAffiliation_xml":[
        {
          "name":"Laboratoire d'Ecologie Alpine, UMR CNRS 5553, Université de Savoie, 73376 Le Bourget du Lac cedex, France"
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        {
          "name":"Laboratoire d'Ecologie Alpine, UMR CNRS 5553, Université Joseph Fourier, Grenoble Cedex 9, France"
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        {
          "name":"Laboratoire d’Ecologie Alpine, UMR CNRS 5553, Université de Savoie, 73376 Le Bourget du Lac cedex, France"
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        {
          "name":"Laboratoire d’Ecologie Alpine, UMR CNRS 5553, Université Joseph Fourier, Grenoble Cedex 9, France"
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        "http://www.ingentaconnect.com/content/bsc/ddi/2007/00000013/00000004/art00013",
        "http://www.jstor.org/stable/4539943",
        "http://onlinelibrary.wiley.com/doi/10.1111/j.1472-4642.2007.00377.x/abstract",
        "https://hal.archives-ouvertes.fr/halsde-00283756"
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          "name":"Blackwell Publishing Ltd"
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      "DOI":[
        "10.1111/j.1472-4642.2007.00377.x"
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      "Publisher":[
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        "Blackwell Science",
        "Blackwell Publishing Ltd",
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      "AbstractList":[
        "Predicting the probability of successful establishment and invasion of alien species at global scale, by matching climatic and land use data, is a priority for the risk assessment. Both large- and local-scale factors contribute to the outcome of invasions, and should be integrated to improve the predictions. At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American bullfrog Rana catesbeiana, a major invasive species that is among the causes of amphibian decline. Environmental models were built by using Maxent, a machine learning method. Then, we integrated global data with information on richness of native communities and hunting pressure collected at the local scale. Global-scale data allowed us to delineate the areas with the highest suitability for this species. Predicted suitability was significantly related to the invasiveness observed for bullfrog populations historically introduced in Europe, but did not explain a large portion of variability in invasion success. The integration of data at the global and local scales greatly improved the performance of models, and explained > 57% of the variance in introduction success: bullfrogs were more invasive in areas with high suitability and low hunting pressure over frogs. Our study identified the climatic factors entailing the risk of invasion by bullfrogs, and stresses the importance of the integration of biotic and abiotic data collected at different spatial scales, to evaluate the areas where monitoring and management efforts need to be focused.",
        "Predicting the probability of successful establishment and invasion of alien species at global scale, by matching climatic and land use data, is a priority for the risk assessment. Both large- and local-scale factors contribute to the outcome of invasions, and should be integrated to improve the predictions. At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American bullfrog Rana catesbeiana, a major invasive species that is among the causes of amphibian decline. Environmental models were built by using Maxent, a machine learning method. Then, we integrated global data with information on richness of native communities and hunting pressure collected at the local scale. Global-scale data allowed us to delineate the areas with the highest suitability for this species. Predicted suitability was significantly related to the invasiveness observed for bullfrog populations historically introduced in Europe, but did not explain a large portion of variability in invasion success. The integration of data at the global and local scales greatly improved the performance of models, and explained > 57% of the variance in introduction success: bullfrogs were more invasive in areas with high suitability and low hunting pressure over frogs. Our study identified the climatic factors entailing the risk of invasion by bullfrogs, and stresses the importance of the integration of biotic and abiotic data collected at different spatial scales, to evaluate the areas where monitoring and management efforts need to be focused.",
        "Predicting the probability of successful establishment and invasion of alien species at global scale, by matching climatic and land use data, is a priority for the risk assessment. Both large‐ and local‐scale factors contribute to the outcome of invasions, and should be integrated to improve the predictions. At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American bullfrog Rana catesbeiana , a major invasive species that is among the causes of amphibian decline. Environmental models were built by using Maxent, a machine learning method. Then, we integrated global data with information on richness of native communities and hunting pressure collected at the local scale. Global‐scale data allowed us to delineate the areas with the highest suitability for this species. Predicted suitability was significantly related to the invasiveness observed for bullfrog populations historically introduced in Europe, but did not explain a large portion of variability in invasion success. The integration of data at the global and local scales greatly improved the performance of models, and explained > 57% of the variance in introduction success: bullfrogs were more invasive in areas with high suitability and low hunting pressure over frogs. Our study identified the climatic factors entailing the risk of invasion by bullfrogs, and stresses the importance of the integration of biotic and abiotic data collected at different spatial scales, to evaluate the areas where monitoring and management efforts need to be focused.",
        "Predicting the probability of successful establishment and invasion of alien species at global scale, by matching climatic and land use data, is a priority for the risk assessment. Both large- and local-scale factors contribute to the outcome of invasions, and should be integrated to improve the predictions. At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American bullfrog Rana catesbeiana, a major invasive species that is among the causes of amphibian decline. Environmental models were built by using Maxent, a machine learning method. Then, we integrated global data with information on richness of native communities and hunting pressure collected at the local scale. Global-scale data allowed us to delineate the areas with the highest suitability for this species. Predicted suitability was significantly related to the invasiveness observed for bullfrog populations historically introduced in Europe, but did not explain a large portion of variability in invasion success. The integration of data at the global and local scales greatly improved the performance of models, and explained > 57% of the variance in introduction success: bullfrogs were more invasive in areas with high suitability and low hunting pressure over frogs. Our study identified the climatic factors entailing the risk of invasion by bullfrogs, and stresses the importance of the integration of biotic and abiotic data collected at different spatial scales, to evaluate the areas where monitoring and management efforts need to be focused."
      ],
      "Language":[
        "English"
      ],
      "EISSN":[
        "1472-4642"
      ],
      "Author":[
        "Thuiller, Wilfried",
        "Miaud, Claude",
        "Ficetola, Gentile Francesco"
      ],
      "ISSN":[
        "1366-9516"
      ],
      "PublicationCentury":[
        "2000"
      ],
      "IsScholarly":[
        "true"
      ],
      "PublicationDecade":[
        "2000"
      ],
      "Snippet":[
        ".... At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American <h>bullfrog</h> Rana catesbeiana, a major invasive species that is among the causes of amphibian decline...",
        ".... At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American <h>bullfrog</h> Rana catesbeiana , a major invasive species that is among the causes of amphibian decline..."
      ],
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        "Predicting the probability of successful establishment and invasion of alien species at global scale, by matching climatic and land use data, is a priority for the risk assessment. Both large- and local-scale factors contribute to the outcome of invasions, and should be integrated to improve the predictions. At global scale, we used climatic and land use layers to evaluate the habitat suitability for the American bullfrog Rana catesbeiana, a major invasive species that is among the causes of amphibian decline. Environmental models were built by using Maxent, a machine learning method. Then, we integrated global data with information on richness of native communities and hunting pressure collected at the local scale. Global-scale data allowed us to delineate the areas with the highest suitability for this species. Predicted suitability was significantly related to the invasiveness observed for bullfrog populations historically introduced in Europe, but did not explain a large portion of variability in invasion success. The integration of data at the global and local scales greatly improved the performance of models, and explained > 57% of the variance in introduction success: bullfrogs were more invasive in areas with high suitability and low hunting pressure over frogs. Our study identified the climatic factors entailing the risk of invasion by bullfrogs, and stresses the importance of the integration of biotic and abiotic data collected at different spatial scales, to evaluate the areas where monitoring and management efforts need to be focused."
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      "Title":[
        "Prediction and validation of the potential global distribution of a problematic alien invasive species the American <h>bullfrog</h>"
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        "Rana catesbeiana",
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        "... shirts stick to our skin. The drawl of <h>bullfrogs</h> in the neighbor's pond is putting us to bed. One poem fits on her palm: We are alone / Our sweat / a forehead balm. Author Affiliation JULIE KOETS' work has been published in the Los Angeles Review, Indiana Review, and Euphony, among others. Koets is a Ph.D. student in Creative Writing at the University of Cinc..."
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