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...	...	@@ -6,24 +6,98 @@
6	6	1. Find datasets that contain NIfTI files
7	7	1. Find the software that can be used to open .smr file formats?
8	8
9		-=== ===
	9	+=== ===
10	10
11	11	==== Example 1 - How many datasets used human subjects? ====
12	12
13		-Search UI
	13	+**Search UI**
14	14
15	15	In the filter function, select "Homo Sapiens" under species. This filters the available datasets in the Knowledge Graph for human subjects only.
16	16
17	17	[[https:~~/~~/search.kg.ebrains.eu/?facet_type[0]=Dataset&facet_Dataset_speciesFilter[0]=Homo%20sapiens>>https://search.kg.ebrains.eu/?facet_type[0]=Dataset&facet_Dataset_speciesFilter[0]=Homo%20sapiens]]
18	18
19		-Query Builder
	19	+**Query Builder**
20	20
	21	+
	22	+==== Example 2 - Find datasets with male adult subjects ====
	23	+
	24	+**Search UI**
	25	+
	26	+All the metadata in the knowledge graph is represented by nodes and their relationships by the edges. Most of the "basic" metadata is visualised in the Search UI to make it easy for the user to find datasets that fit certain criteria without needing to know how to navigate and traverse a graph structure.
	27	+
	28	+**Query Builder**
	29	+
21	21	{{code language="python"}}
22		-x = 1
23		-if x == 1:
24		- # indented four spaces
25		- print("x is 1.")
	31	+query = {
	32	+ "@context": {
	33	+ "@vocab": "https://core.kg.ebrains.eu/vocab/query/",
	34	+ "query": "https://schema.hbp.eu/myQuery/",
	35	+ "propertyName": {
	36	+ "@id": "propertyName",
	37	+ "@type": "@id"
	38	+ },
	39	+ "path": {
	40	+ "@id": "path",
	41	+ "@type": "@id"
	42	+ }
	43	+ },
	44	+ "meta": {
	45	+ "type": "https://openminds.ebrains.eu/core/DatasetVersion",
	46	+ "responseVocab": "https://schema.hbp.eu/myQuery/"
	47	+ },
	48	+ "structure": [
	49	+ {
	50	+ "propertyName": "query:id",
	51	+ "path": "@id"
	52	+ },
	53	+ {
	54	+ "propertyName": "query:shortName",
	55	+ "path": "https://openminds.ebrains.eu/vocab/shortName"
	56	+ },
	57	+ {
	58	+ "propertyName": "query:studiedSpecimen",
	59	+ "path": "https://openminds.ebrains.eu/vocab/studiedSpecimen",
	60	+ "required": true,
	61	+ "structure": [
	62	+ {
	63	+ "propertyName": "query:id",
	64	+ "path": "@id"
	65	+ },
	66	+ {
	67	+ "propertyName": "query:biologicalSex",
	68	+ "path": "https://openminds.ebrains.eu/vocab/biologicalSex",
	69	+ "required": true,
	70	+ "structure": {
	71	+ "propertyName": "query:name",
	72	+ "path": "https://openminds.ebrains.eu/vocab/name",
	73	+ "required": true,
	74	+ "filter": {
	75	+ "op": "EQUALS",
	76	+ "value": "male"
	77	+ }
	78	+ }
	79	+ },
	80	+ {
	81	+ "propertyName": "query:studiedState",
	82	+ "path": "https://openminds.ebrains.eu/vocab/studiedState",
	83	+ "required": true,
	84	+ "structure": {
	85	+ "propertyName": "query:ageCategory",
	86	+ "path": "https://openminds.ebrains.eu/vocab/ageCategory",
	87	+ "required": true,
	88	+ "structure": {
	89	+ "propertyName": "query:name",
	90	+ "path": "https://openminds.ebrains.eu/vocab/name",
	91	+ "required": true,
	92	+ "filter": {
	93	+ "op": "EQUALS",
	94	+ "value": "adult"
	95	+ }
	96	+ }
	97	+ }
	98	+ }
	99	+ ]
	100	+ }
	101	+ ]
	102	+}
26	26	{{/code}}
27		-
28		-(% class="wikigeneratedid" id="HH4Won27tAppearinToC" %)
29		-