# Basic RIN Search Examples ## Simple URL based search ```url https://api.scicrunch.io/elastic/v1/RIN_Tool_pr/_search?q=SPM ``` The above URL will search the SciCrunch registry for all resources that refer to SPM (a nuroimaging analysis tool). The CURL request for this search would be: ```bash curl --location 'https://api.scicrunch.io/elastic/v1/RIN_Tool_pr/_search?q=SPM' \ --header 'apikey: <>' ``` ## Search all resources This search looks for all resources of the current RIN index. For example, searching all registry resources (Tools). ### JSON Body ```json { "size": 20, "from": 0, "aggregations": { "Resource Type": { "terms": { "field": "item.types.name.aggregate", "size": 200 } }, "Keywords": { "terms": { "field": "item.keywords.keyword", "size": 200 } }, "Organism": { "terms": { "field": "organisms.related.species.name.aggregate", "size": 200 } }, "Related Condition": { "terms": { "field": "diseases.related.name.aggregate", "size": 200 } }, "Funding Agency": { "terms": { "field": "supportingAwards.agency.name.aggregate", "size": 200 } }, "Website Status": { "terms": { "field": "item.status", "size": 200 } }, "Mentions": { "terms": { "field": "mentions.availability.keyword", "size": 200 } } } } ``` ### Result ```json { "took": 23, "timed_out": false, "_shards": { "total": 2, "successful": 2, "skipped": 0, "failed": 0 }, "hits": { "total": 22140, "max_score": 1.0, "hits": [ { "_index": "scr_005400-registry_resources_pr-rin-2022apr21", "_type": "rin", "_id": "rrid:scr_019389", "_score": 1.0, "_source": { "item": { ... } ``` ## Search for resources by keywords This search looks for all resources that match keywords. For example, searching Cell Line resources with keyword (CVCL\_0030) and Vendor (ATCC). ### JSON Body ```json { "size": 20, "from": 0, "query": { "bool": { "must": [ { "query_string": { "fields": [ "vendors.name" ], "query": "\"ATCC\"", "default_operator": "and", "lenient": "true" } }, { "query_string": { "fields": [ "*" ], "query": "\"CVCL_0030\"", "type": "cross_fields", "default_operator": "and", "lenient": "true" } } ], "should": [ { "match": { "item.name": { "query": "\"CVCL_0030\"", "boost": 20 } } }, { "term": { "item.name.aggregate": { "term": "CVCL_0030", "boost": 2000 } } } ] } }, "aggregations": { "Vendor": { "terms": { "field": "vendors.name.aggregate", "size": 200 } }, "Category": { "terms": { "field": "item.keywords.keyword", "size": 200 } }, "Disease": { "terms": { "field": "diseases.host.name.aggregate", "size": 200 } }, "Organism": { "terms": { "field": "organisms.origin.species.name.aggregate", "size": 200 } }, "References": { "terms": { "field": "references.curie.aggregate", "size": 200 } }, "Sex": { "terms": { "field": "attributes.sex.value", "size": 200 } }, "Mentions": { "terms": { "field": "mentions.availability.keyword", "size": 200 } }, "Issues": { "terms": { "field": "issues.status", "size": 200 } } } } ``` ### Result ```json { "took": 11, "timed_out": false, "_shards": { "total": 2, "successful": 2, "skipped": 0, "failed": 0 }, "hits": { "total": 35, "max_score": 40.370987, "hits": [ { "_index": "scr_013869-cellosaurus_celllines_pr-rin-2022apr27", "_type": "rin", "_id": "rrid:cvcl_0030-atcc-ccl-2", "_score": 40.370987, "_source": { "item": { "types": [ { "curie": "ilx:0101850", "name": "cell line" }, { "type": "supercategory" } ], ... } ``` ## Search for resource by identifier This search looks for a resource that matches the supplied identifier (RRID#). For example, searching registry resource, RRID:SCR\_000415 ### JSON Body ``` { "size": 1000, "from": 0, "query": { "query_string": { "fields": [ "rrid.curie" ], "query": "RRID\\:SCR_000415" } } } ``` ### Result ```json { "took": 3, "timed_out": false, "_shards": { "total": 2, "successful": 2, "skipped": 0, "failed": 0 }, "hits": { "total": 1, "max_score": 12.198048, "hits": [ { "_index": "scr_005400-registry_resources_pr-rin-2022apr21", "_type": "rin", "_id": "rrid:scr_000415", "_score": 12.198048, "_source": { "item": { "supercategory": [ { "name": "Resource", "type": "supercategory" } ], "contentTypes": [ { "curie": "ilx:0381348", "name": "product" } ], "language": "en", "description": "A software package for control of automated microscopes that runs as a plugin in ImageJ, works with virtually all scientific grade microscope equipment, and has a simple interface towards routine image acquisition strategies such as time-lapse, z- stacks, multi-channel, and multi-position acquisition. In addition, it uses a device abstraction layer available from various programming environments (such a C, Java, Python, Matlab and LabView), facilitating development of novel approaches to image acquisition. Manager has a simple and clean user interface, through which it lets users execute common microscope image acquisition strategies such as time-lapses, multi-channel imaging, z-stacks, and combinations thereof. Manager works with microscopes from all four major manufacturers (Leica, Nikon, Olympus and Zeiss), most scientific-grade cameras and many peripherals (stages, filter wheels, shutters, etc.) used in microscope imaging.", "identifier": "SCR_000415", "docid": "rrid:scr_000415", "uuid": "eda7a99e-7e65-5055-b407-fd05d417e085", "synonyms": [ { "name": "Micro-Manager Open Source Microscopy Software" } ], "types": [ { "name": "software application", "type": "category" }, { "name": "data processing software", "type": "category" }, { "name": "data acquisition software", "type": "category" }, { "name": "software resource", "type": "category" } ], "keywords": [ { "keyword": "microscopy" }, { "keyword": "plugin" }, { "keyword": "data acquisition" }, { "keyword": "software package" }, { "keyword": "automated microscope" } ], "curie": "SCR_000415", "availability": [ { "description": "", "keyword": "" } ], "alternateIdentifiers": [ { "identifier": "" } ], "abbreviations": [ { "name": "Micro-Manager" } ], "name": "Micro-Manager" }, "authority": { "name": "SciCrunch Registry" }, "distributions": { "current": [ { "type": "landing page", "uri": "http://micro-manager.org" } ], "deprecated": [ { "uri": "" } ], "alternate": [ { "uri": "http://www.nitrc.org/projects/micromanager" } ] }, "rrid": { "is_unique": "true", "curie": "RRID:SCR_000415", "properCitation": "Micro-Manager (RRID:SCR_000415)" }, "disco": { "v_uuid": "eda7a99e-7e65-5055-b407-fd05d417e085" }, "graph": { "parent": [ { "resource": { "identifier": "SCR_010605", "name": "University of California at San Francisco; California; USA" }, "relationship": { "identifier": "7", "name": "has_parent_organization" } } ], "related": [ { "resource": { "identifier": "SCR_018680", "name": "ImageJ" }, "relationship": { "identifier": "6", "name": "is_related_to" } } ], "relationships": [ { "resource": { "identifier": "SCR_003430", "name": "NeuroImaging Tools and Resources Collaboratory (NITRC)" }, "relationship": { "identifier": "4", "name": "is_listed_by" } }, { "resource": { "identifier": "SCR_018680", "name": "ImageJ" }, "relationship": { "identifier": "6", "name": "is_related_to" } }, { "resource": { "identifier": "SCR_010605", "name": "University of California at San Francisco; California; USA" }, "relationship": { "identifier": "7", "name": "has_parent_organization" } } ] }, "diseases": { "related": [ { "role": "Related Disease", "name": "" } ] }, "supportingAwards": [ { "agency": { "name": "" } } ], "references": [ { "curie": "" } ], "organisms": { "related": [ { "role": "Related Species", "species": { "name": "" } } ] }, "dataItem": { "dataTypes": [ "item", "authority", "distributions", "rrid", "disco", "graph", "diseases", "supportingAwards", "references", "organisms" ] }, "provenance": { "ingestMethod": "dkNET", "ingestTarget": "", "filePattern": "", "ingestTime": "20230209T050017+0000", "creationDate": [ "20220129T080201+0000" ], "docId": "61f4f47948932023e322e24e", "primaryKey": "SCR_000415" }, "mentions": [ { "totalResourceMentions": { "count": 229 }, "availability": { "keyword": "available" }, "totalRRIDMentions": { "count": 31 }, "totalMentions": { "count": 247 }, "timestamp": "2023-02-09 05:00:17.441" } ] } } ] } } ``` --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.scicrunch.io/elasticsearch-metadata-services/resource-information-network-rin-services/basic-rin-search-examples.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.