> For the complete documentation index, see [llms.txt](https://docs.scicrunch.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.scicrunch.io/elasticsearch-metadata-services/sparc-datasets/map-core-competency-searches.md).

# Basic SPARC Search Examples

## Boolean Filter Search

This search finds data given by generating a boolean query across facets. Currently this is also combined with an optional text based search, although this may be removed in future.

### JSON Body example

```yaml
{
  "size": 10,
  "from": 0,
  "query": {
    "query_string": {
      "query": "(Ardell) AND attributes.subject.sex.value:((male) OR (female))  AND anatomy.organ.name.aggregate:((heart))"
    }
  }
}
```

### Result

```yaml
{
    "took": 2070,
    "timed_out": false,
    "_shards": {
        "total": 2,
        "successful": 2,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": 5,
        "max_score": 5.709837,
        "hits": [
            {
                "_index": "scr_017041-sparc_datasets-ks_2021apr28",
                "_type": "ks",
                "_id": "DOI:10.26275/w4my-puqm",
                "_score": 5.709837,
//...
```

## Available Facets Query

This query requests available facets for a given parameter in the 'hits' object.

### JSON Body example

```yaml
{
  "from": 0,
  "size": 0,
  "aggregations": {
    "genotype": {
      "terms": {
        "field": "anatomy.organ.name.aggregate",
        "size": 200,
        "order": [
          {
            "_count": "desc"
          },
          {
            "_key": "asc"
          }
        ]
      }
    }
  }
}
```

### Result

```yaml
{
    "took": 2,
    "timed_out": false,
    "_shards": {
        "total": 2,
        "successful": 2,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": 88,
        "max_score": 0.0,
        "hits": []
    },
    "aggregations": {
        "genotype": {
            "doc_count_error_upper_bound": 0,
            "sum_other_doc_count": 0,
            "buckets": [
                {
                    "key": "heart",
                    "doc_count": 21
                },
//...
```

## Search for all DOI

This search looks for all DOIs.

### JSON Body Example

```yaml
{
    "from": 0,
    "size": 0,
    "aggregations": {
        "doi" : {
            "composite": {
                "size": 1000,
                "sources": [
                    {
                        "curie": {"terms": {"field": "item.curie.aggregate"}}
                    }
                ],
                "after": {"curie": ""}
            }
        }
    }
```

### Result

```yaml
{
    "took": 31,
    "timed_out": false,
    "_shards": {
        "total": 2,
        "successful": 2,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": 98,
        "max_score": 0.0,
        "hits": []
    },
    "aggregations": {
        "doi": {
            "after_key": {
                "curie": "doi:10.26275/zxe9-o3ss"
            },
            "buckets": [
                {
                    "key": {
                        "curie": "doi:10.26275/0ag5-j3x7"
                    },
                    "doc_count": 1
                }, ...
```

## Search for dataset by title

This search looks for a dataset by title.

### JSON Body Example

```yaml
{
    "size": 20,
    "from": 0,
    "query": {
        "query_string": {
            "fields": [
                "item.names.name"
            ],
            "query": "(Generic) AND (rat) AND (stomach) AND (scaffold)"
        }
    }
}
```

### Result

```yaml
{
    "took": 22,
    "timed_out": false,
    "_shards": {
        "total": 2,
        "successful": 2,
        "skipped": 0,
        "failed": 0
    },
    "hits": {
        "total": 1,
        "max_score": 7.7667675,
        "hits": [
            {
                "_index": "scr_017041-sparc_portal-ks-2021jun22",
                "_type": "ks",
                "_id": "DOI:10.26275/dn1d-owj9",
                "_score": 7.7667675,
                "_source": {
                    "item": {
                        "version": {
                            "keyword": "1.1.2"
                        },
                        "types": [
                            {
                                "curie": "ilx:0102834",
                                "name": "Dataset",
                                "type": "category"
                            }
                        ],
                        "contentTypes": [
                            {
                                "curie": "ilx:0381348",
                                "name": "product"
                            }
                        ],
                        "names": [
                            {
                                "nameType": "Complete Data Set",
                                "name": "Generic rat stomach scaffold"
                            }
                        ],
                        "statistics": {
                            "files": {
                                "count": "24"
                            },
                            "directory": {
                                "count": "4"
                            },
                            "bytes": {
                                "count": "5582424"
                            }
                        }, ...
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.scicrunch.io/elasticsearch-metadata-services/sparc-datasets/map-core-competency-searches.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.