D6 sparql+axioms, run 3: the query session

30 queries1 failed6 rounds

The opening prompt

## The data

You can't see the data, but you can query it. It is in an RDF store, described below. Write SPARQL 1.1 SELECT or ASK queries.

To run queries, reply with one or more fenced blocks (```sparql), and nothing else is needed:
each is run and its results sent back to you. You have up to 8 rounds of queries.
When you have what you need, reply with the final answers and no queries.

Prefixes:
```
PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
PREFIX res: <https://example.org/research/>
```

Classes and the properties their resources use:

- `res:Author`: `rdf:type`, `rdfs:label`, `res:name`, `res:orcid`, `res:samePersonAs`
- `res:Authorship`: `rdf:type`, `rdfs:label`, `res:affiliationSeq`, `res:author`, `res:authorPosition`, `res:institution`, `res:work`
- `res:Citation`: `rdf:type`, `rdfs:label`, `res:citedWork`, `res:citingWork`
- `res:CreditedAuthorship`: `rdf:type`, `rdfs:label`, `res:affiliationSeq`, `res:author`, `res:authorPosition`, `res:institution`, `res:work`
- `res:Institution`: `rdf:type`, `rdfs:label`, `res:country`, `res:countsTowards`, `res:institutionType`, `res:name`, `res:parent`, `res:ror`, `res:ultimateParent`, `res:unitOf`
- `res:ResearchWork`: `rdf:type`, `rdfs:label`, `res:cites`, `res:countsAs`, `res:creditedCountry`, `res:creditedInstitution`, `res:doi`, `res:hasPerson`, `res:recordSource`, `res:retracted`, `res:source`, `res:title`, `res:workType`, `res:year`
- `res:Source`: `rdf:type`, `rdfs:label`, `res:issn`, `res:name`, `res:sourceType`, `res:tier`
- `res:Work`: `rdf:type`, `rdfs:label`, `res:cites`, `res:countsAs`, `res:creditedCountry`, `res:creditedInstitution`, `res:doi`, `res:hasPerson`, `res:recordSource`, `res:retracted`, `res:source`, `res:title`, `res:versionOf`, `res:workType`, `res:year`

The store holds the data after the rules of its axioms have run, with no definitions alongside. Besides the data's own properties, it holds what the rules derived: res:samePersonAs links the author records of one person; res:countsAs gives the work a record counts as (a preprint's published version, or itself), and the class res:ResearchWork holds the works that count as research output; res:hasPerson gives each work's distinct people, one author record each; res:creditedInstitution and res:creditedCountry give the institutions and countries credited on a work, every level up; res:unitOf, res:countsTowards and res:ultimateParent give the hierarchy; res:cites links the works of the citations that count; res:tierRank ranks the journal tiers, 1 the highest.

## Questions

Answer each question below from the data above. Start each answer on a new line with its
number in bold, like **Q1.**, give the direct answer first, then at most two sentences of
reasoning that cite the records (IDs) you relied on.

Then end with one JSON block (```json) holding the structured answer to each question listed
here, with exactly these fields, shaped like {"Q1": {"field": value}, ...}. Name works, authors, institutions and sources by their record ID: the work_id, author_id, institution_id or source_id in the CSV files, or the part of the IRI after res: in the RDF (W01, A07, I02, S03; not their titles or names).

- Q1: count (a number)
- Q2: works (a list of record IDs)
- Q3: same ("yes", "no" or "depends")
- Q4: count (a number)
- Q5: same ("yes", "no" or "depends")
- Q6: author (a record ID)
- Q7: count (a number)
- Q8: parent (a record ID)
- Q9: count (a number)
- Q10: count (a number)
- Q11: count (a number)
- Q12: full (a number), fractional (a number)
- Q13: full (a record ID), fractional (a record ID)
- Q14: full (a number), fractional (a number)
- Q15: count (a number)
- Q16: count (a number)
- Q17: works (a list of record IDs)
- Q18: count (a number)
- Q19: count (a number)
- Q20: works (a list of record IDs)
- Q21: count (a number)
- Q22: more_in_total (a record ID), more_in_window (a record ID)
- Q23: total (a number), in_window (a number)
- Q24: count (a number)
- Q25: count (a number)
- Q26: counts ("yes", "no" or "depends")
- Q27: institution (a record ID), citing_works (a number)
- Q28: count (a number)
- Q29: author (a number), institution (a number), country (a number)
- Q30: count (a number)
- Q31: works (a list of record IDs)
- Q32: count (a number)
- Q33: work (a record ID)
- Q34: count (a number)
- Q35: count (a number)
- Q36: count (a number)
- Q37: institution (a record ID)
- Q38: institutions (a list of record IDs)
- Q39: count (a number)
- Q40: source (a record ID)
- Q41: higher ("yes", "no" or "depends")
- Q42: count (a number)
- Q43: research ("yes", "no" or "depends")
- Q44: institutions (a list of record IDs)
- Q45: count (a number)
- Q46: parent (a record ID)

Q1. How many distinct people do the author records named "Mara Ellison", "M. Ellison" and "Ellison, Mara J." stand for?
Q2. List every work, of any type, that Mara Ellison (A01) is an author of.
Q3. Is the Jonas Brandt who wrote W37 the same person as the Jonas Brandt who wrote W38?
Q4. How many research works has the Jonas Brandt of Albury Metropolitan University (A05) authored?
Q5. Is the M. Ellison who wrote W08 the same person as the Mara Ellison who wrote W01?
Q6. Which author has the most research works credited to the University of Albury, its units included?
Q7. How many research works has Mara Ellison authored?
Q8. What is the ultimate parent of the Tessel Laboratory for Ocean Sensing (I04)?
Q9. How many research works is the University of Albury (I02) credited with, its units included?
Q10. How many research works is the Albury University System (I01) credited with, all its units included?
Q11. How many research works is Kesting University (I07) credited with, its units included?
Q12. How many research works did Kesting University (I07, units included) publish in 2024, under full counting and under fractional counting (each work split equally among its authors)?
Q13. In 2024, which had more research works, Kesting University (I07) or Rostval Technical University (I09): under full counting, and under fractional counting?
Q14. How many research works did GB institutions publish in 2024, under full counting and under fractional counting (each work split equally among its authors, each author's share going to their institution's country)?
Q15. How many research works appeared in Ocean Sensing Letters (S02) in 2024?
Q16. How many research works appeared in the Journal of Marine Autonomy (S01)?
Q17. Which of Mara Ellison's works are not research output because of their document type?
Q18. How many distinct research works has Priya Ramanathan (A07) authored?
Q19. How many distinct works cite "Drift-aware mapping with low-cost sonar", in either of its versions?
Q20. Which works in the data are preprints of another work that is also in the data?
Q21. How many research works is Oskel Polytechnic (I14) credited with?
Q22. Which has more citations, W30 or W31 (counting both versions of each): in total, and within its publication year and the two years after?
Q23. How many citations has W30 received in total, and how many within its publication year and the two years after?
Q24. How many research works has Lena Vossberg (A09) authored?
Q25. What is the total of the citation counts of Lena Vossberg's research works?
Q26. Does W23 count towards Kesting University's research output?
Q27. Which other institution's works cite Kesting University's research works the most, each citing work counted once per institution, and how many of its works do?
Q28. How many distinct works from Rostval Technical University (I09) cite Kesting University's research works?
Q29. Of the works citing "Drift-aware mapping with low-cost sonar" (either version), how many are self-citations at the level of authors, of the University of Albury (units included), and of countries?
Q30. Of the works citing "Drift-aware mapping with low-cost sonar" (either version), how many are self-citations at the level of the Albury University System?
Q31. Which works cite at least one of the works that cite W01?
Q32. How many distinct works are within two citation hops of W01 (citing it, or citing a work that cites it)?
Q33. Which of Kesting University's research works has the most citations?
Q34. How many research works was Kesting University (units included) credited with in 2025?
Q35. How many research works is the Kesting Institute of Hydrodynamics (I08) credited with?
Q36. How many research works appeared in the Proceedings of the Hydrodynamics Forum (S06)?
Q37. Which institution is W70 credited to?
Q38. Which institutions is W71 credited to, at every level?
Q39. How many of the University of Albury's research works (units included) appeared in a source of the highest tier?
Q40. Which source is in the highest tier?
Q41. Is Coastal Engineering Review (S03) in a higher tier than Ocean Sensing Letters (S02)?
Q42. How many research works appeared in Global Marine Science Reports (S04)?
Q43. Is W07 research output?
Q44. Which institutions are part of the Albury University System, at any level below it?
Q45. How many research works is the Halloran Institute for Coastal Studies (I06) credited with?
Q46. What is the ultimate parent of the Halloran Institute for Coastal Studies (I06)?
Q47. Why do Kesting University and Rostval Technical University swap places in 2024 between full and fractional counting?
Q48. Why is W70 not one of the University of Albury's research works, though its author lists the Tessel Laboratory?

The model

I'll start by exploring the data.

```sparql
PREFIX res: <https://example.org/research/>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT ?s ?p ?o WHERE {
  ?s ?p ?o .
  FILTER(REGEX(STR(?s), "research/(A|I|S)[0-9]+$"))
} ORDER BY ?s ?p
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE {
  ?s ?p ?o .
  FILTER(REGEX(STR(?s), "research/W[0-9]+$"))
  FILTER(?p != res:cites)
} ORDER BY ?s ?p
```

Query results

Query 1:

| s | p | o |
|---|---|---|
| res:A01 | rdf:type | res:Author |
| res:A01 | rdfs:label | Mara Ellison |
| res:A01 | res:name | Mara Ellison |
| res:A01 | res:orcid | 0000-0002-9841-6229 |
| res:A01 | res:samePersonAs | res:A101 |
| res:A01 | res:samePersonAs | res:A02 |
| res:A01 | res:samePersonAs | res:A03 |
| res:A02 | rdf:type | res:Author |
| res:A02 | rdfs:label | M. Ellison |
| res:A02 | res:name | M. Ellison |
| res:A02 | res:orcid | 0000-0002-9841-6229 |
| res:A02 | res:samePersonAs | res:A03 |
| res:A02 | res:samePersonAs | res:A101 |
| res:A02 | res:samePersonAs | res:A01 |
| res:A03 | rdf:type | res:Author |
| res:A03 | rdfs:label | Ellison, Mara J. |
| res:A03 | res:name | Ellison, Mara J. |
| res:A03 | res:orcid | 0000-0002-9841-6229 |
| res:A03 | res:samePersonAs | res:A02 |
| res:A03 | res:samePersonAs | res:A101 |
| res:A03 | res:samePersonAs | res:A01 |
| res:A04 | rdf:type | res:Author |
| res:A04 | rdfs:label | M. Ellison |
| res:A04 | res:name | M. Ellison |
| res:A04 | res:orcid | 0000-0004-8662-8360 |
| res:A05 | rdf:type | res:Author |
| res:A05 | rdfs:label | Jonas Brandt |
| res:A05 | res:name | Jonas Brandt |
| res:A05 | res:orcid | 0000-0001-6105-5008 |
| res:A05 | res:samePersonAs | res:A104 |
| res:A06 | rdf:type | res:Author |
| res:A06 | rdfs:label | Jonas Brandt |
| res:A06 | res:name | Jonas Brandt |
| res:A06 | res:orcid | 0000-0007-5475-1779 |
| res:A07 | rdf:type | res:Author |
| res:A07 | rdfs:label | Priya Ramanathan |
| res:A07 | res:name | Priya Ramanathan |
| res:A07 | res:orcid | 0000-0009-2298-3695 |
| res:A08 | rdf:type | res:Author |
| res:A08 | rdfs:label | Tomasz Wierzba |
| res:A08 | res:name | Tomasz Wierzba |
| res:A08 | res:orcid | 0000-0007-9318-6032 |
| res:A08 | res:samePersonAs | res:A106 |
| res:A09 | rdf:type | res:Author |
| res:A09 | rdfs:label | Lena Vossberg |
| res:A09 | res:name | Lena Vossberg |
| res:A09 | res:orcid | 0000-0000-8073-7028 |
| res:A09 | res:samePersonAs | res:A103 |
| res:A10 | rdf:type | res:Author |
| res:A10 | rdfs:label | Dirk Hallmann |
| res:A10 | res:name | Dirk Hallmann |
| res:A10 | res:orcid | 0000-0003-8222-6468 |
| res:A101 | rdf:type | res:Author |
| res:A101 | rdfs:label | M. Ellison |
| res:A101 | res:name | M. Ellison |
| res:A101 | res:orcid | 0000-0002-9841-6229 |
| res:A101 | res:samePersonAs | res:A02 |
| res:A101 | res:samePersonAs | res:A01 |
| res:A101 | res:samePersonAs | res:A03 |
| res:A102 | rdf:type | res:Author |
(977 more rows not shown)

Query 2:

| s | p | o |
|---|---|---|
| res:W01 | rdf:type | res:Work |
| res:W01 | rdf:type | res:ResearchWork |
| res:W01 | rdfs:label | Adaptive path planning for underwater gliders |
| res:W01 | res:countsAs | res:W01 |
| res:W01 | res:creditedCountry | GB |
| res:W01 | res:creditedInstitution | res:I02 |
| res:W01 | res:creditedInstitution | res:I03 |
| res:W01 | res:creditedInstitution | res:I01 |
| res:W01 | res:doi | 10.55555/s01.2021.1465 |
| res:W01 | res:hasPerson | res:A01 |
| res:W01 | res:hasPerson | res:A07 |
| res:W01 | res:recordSource | res:origin-FEED |
| res:W01 | res:retracted | false |
| res:W01 | res:source | res:S01 |
| res:W01 | res:title | Adaptive path planning for underwater gliders |
| res:W01 | res:workType | res:wtype-ART |
| res:W01 | res:year | 2021 |
| res:W02 | rdf:type | res:Work |
| res:W02 | rdfs:label | Drift-aware mapping with low-cost sonar |
| res:W02 | res:countsAs | res:W03 |
| res:W02 | res:creditedCountry | GB |
| res:W02 | res:creditedInstitution | res:I02 |
| res:W02 | res:creditedInstitution | res:I03 |
| res:W02 | res:creditedInstitution | res:I01 |
| res:W02 | res:doi | 10.55555/s05.2022.2911 |
| res:W02 | res:recordSource | res:origin-FEED |
| res:W02 | res:retracted | false |
| res:W02 | res:source | res:S05 |
| res:W02 | res:title | Drift-aware mapping with low-cost sonar |
| res:W02 | res:versionOf | res:W03 |
| res:W02 | res:workType | res:wtype-PPR |
| res:W02 | res:year | 2022 |
| res:W03 | rdf:type | res:ResearchWork |
| res:W03 | rdf:type | res:Work |
| res:W03 | rdfs:label | Drift-aware mapping with low-cost sonar |
| res:W03 | res:countsAs | res:W03 |
| res:W03 | res:creditedCountry | GB |
| res:W03 | res:creditedInstitution | res:I02 |
| res:W03 | res:creditedInstitution | res:I03 |
| res:W03 | res:creditedInstitution | res:I01 |
| res:W03 | res:doi | 10.55555/s02.2023.9437 |
| res:W03 | res:hasPerson | res:A01 |
| res:W03 | res:hasPerson | res:A07 |
| res:W03 | res:recordSource | res:origin-FEED |
| res:W03 | res:retracted | false |
| res:W03 | res:source | res:S02 |
| res:W03 | res:title | Drift-aware mapping with low-cost sonar |
| res:W03 | res:workType | res:wtype-ART |
| res:W03 | res:year | 2023 |
| res:W04 | rdf:type | res:Work |
| res:W04 | rdfs:label | Editorial: a new decade of marine autonomy |
| res:W04 | res:countsAs | res:W04 |
| res:W04 | res:creditedCountry | GB |
| res:W04 | res:creditedInstitution | res:I02 |
| res:W04 | res:creditedInstitution | res:I01 |
| res:W04 | res:doi | 10.55555/s01.2023.1032 |
| res:W04 | res:hasPerson | res:A01 |
| res:W04 | res:recordSource | res:origin-FEED |
| res:W04 | res:retracted | false |
| res:W04 | res:source | res:S01 |
(13353 more rows not shown)

Run more queries, or give the final answers.

The model

<invoke name="sparql">
</invoke>

PREFIX res: <https://example.org/research/>
SELECT ?s (GROUP_CONCAT(CONCAT(STRAFTER(STR(?p),"research/"),"=",REPLACE(STR(?o),"https://example.org/research/","")); separator="; ") AS ?props) WHERE {
  ?s ?p ?o .
  FILTER(REGEX(STR(?s), "research/(I|S)[0-9]+$"))
  FILTER(?p != <http://www.w3.org/1999/02/22-rdf-syntax-ns#type>)
} GROUP BY ?s ORDER BY ?s
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s (GROUP_CONCAT(CONCAT(STRAFTER(STR(?p),"research/"),"=",REPLACE(STR(?o),"https://example.org/research/","")); separator="; ") AS ?props) WHERE {
  ?s ?p ?o .
  FILTER(REGEX(STR(?s), "research/res:?W[0-9]+$|research/W[0-9]+$"))
  FILTER(?p IN (res:year, res:workType, res:source, res:countsAs, res:retracted, res:versionOf, res:recordSource))
} GROUP BY ?s ORDER BY ?s

Query results

The runner found no ```sparql block and no ```json block in your reply. Put each query in its own ```sparql fenced block, or give the final answers.

The model

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s (GROUP_CONCAT(CONCAT(STRAFTER(STR(?p),"research/"),"=",REPLACE(STR(?o),"https://example.org/research/","")); separator="; ") AS ?props) WHERE {
  ?s ?p ?o .
  FILTER(REGEX(STR(?s), "research/(I|S)[0-9]+$"))
  FILTER(?p != <http://www.w3.org/1999/02/22-rdf-syntax-ns#type>)
} GROUP BY ?s ORDER BY ?s
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s (GROUP_CONCAT(CONCAT(STRAFTER(STR(?p),"research/"),"=",REPLACE(STR(?o),"https://example.org/research/","")); separator="; ") AS ?props) WHERE {
  ?s ?p ?o .
  FILTER(REGEX(STR(?s), "research/W[0-9]+$"))
  FILTER(?p IN (res:year, res:workType, res:source, res:countsAs, res:retracted, res:versionOf, res:recordSource))
} GROUP BY ?s ORDER BY ?s
```

Query results

Query 1:

| s | props |
|---|---|
| res:I01 | ror=0hygr4985; =Albury University System; countsTowards=I01; institutionType=itype-SYS; name=Albury University System; ultimateParent=I01; country=GB |
| res:I02 | unitOf=I01; countsTowards=I02; ultimateParent=I01; name=University of Albury; country=GB; =University of Albury; parent=I01; ror=06safhw22; countsTowards=I01; institutionType=itype-UNI |
| res:I03 | name=Albury Centre for Marine Robotics; country=GB; institutionType=itype-LAB; countsTowards=I01; unitOf=I02; countsTowards=I03; =Albury Centre for Marine Robotics; ultimateParent=I01; ror=06a9yq342; parent=I02; countsTowards=I02 |
| res:I04 | parent=I03; countsTowards=I03; countsTowards=I04; institutionType=itype-LAB; countsTowards=I01; ror=0002ezf81; unitOf=I03; ultimateParent=I01; name=Tessel Laboratory for Ocean Sensing; countsTowards=I02; country=GB; =Tessel Laboratory for Ocean Sensing |
| res:I05 | parent=I01; countsTowards=I01; =Albury Metropolitan University; institutionType=itype-UNI; unitOf=I01; ror=0ww7kxb57; ultimateParent=I01; country=GB; name=Albury Metropolitan University; countsTowards=I05 |
| res:I06 | institutionType=itype-AFF; countsTowards=I06; =Halloran Institute for Coastal Studies; parent=I02; ultimateParent=I06; name=Halloran Institute for Coastal Studies; country=GB; ror=0175f3924 |
| res:I07 | ultimateParent=I07; name=Kesting University; ror=0593t4875; =Kesting University; country=DE; countsTowards=I07; institutionType=itype-UNI |
| res:I08 | =Kesting Institute of Hydrodynamics; unitOf=I07; ultimateParent=I07; institutionType=itype-LAB; countsTowards=I08; ror=0brjdg570; name=Kesting Institute of Hydrodynamics; countsTowards=I07; parent=I07; country=DE |
| res:I09 | ror=0k8rh7879; countsTowards=I09; name=Rostval Technical University; =Rostval Technical University; country=NL; ultimateParent=I09; institutionType=itype-UNI |
| res:I10 | country=NL; name=Marrow Instruments BV; ultimateParent=I10; ror=0t3x83535; =Marrow Instruments BV; countsTowards=I10; institutionType=itype-CO |
| res:I11 | =Brevin Ocean Agency; countsTowards=I11; institutionType=itype-GOV; ror=0wvack776; name=Brevin Ocean Agency; country=FR; ultimateParent=I11 |
| res:I12 | country=FR; ultimateParent=I12; institutionType=itype-UNI; ror=091pt9775; countsTowards=I12; =Université de Lorvain; name=Université de Lorvain |
| res:I13 | institutionType=itype-UNI; =Dunmore College; countsTowards=I13; country=GB; name=Dunmore College; ultimateParent=I13; ror=095cwy722 |
| res:I14 | ror=06t6n5818; =Oskel Polytechnic; country=NL; institutionType=itype-UNI; countsTowards=I14; name=Oskel Polytechnic; ultimateParent=I14 |
| res:I15 | countsTowards=I15; institutionType=itype-UNI; =Carrow State University; ultimateParent=I15; ror=0v91gp428; country=US; name=Carrow State University |
| res:I16 | =Hoshimine Institute of Technology; countsTowards=I16; institutionType=itype-UNI; ultimateParent=I16; name=Hoshimine Institute of Technology; ror=06afa6f88; country=JP |
| res:I17 | countsTowards=I17; name=Université de Mallois; =Université de Mallois; ultimateParent=I17; ror=0pshcv029; institutionType=itype-UNI; country=CA |
| res:I18 | institutionType=itype-UNI; countsTowards=I18; name=Universidad de Ventolera; ror=0ay9jr885; ultimateParent=I18; country=ES; =Universidad de Ventolera |
| res:I19 | countsTowards=I01; unitOf=I02; =Albury Laboratory for Acoustic Imaging; parent=I02; countsTowards=I02; country=GB; ror=0xe2n1515; ultimateParent=I01; countsTowards=I19; institutionType=itype-LAB; name=Albury Laboratory for Acoustic Imaging |
| res:I20 | countsTowards=I20; parent=I05; countsTowards=I05; institutionType=itype-LAB; countsTowards=I01; unitOf=I05; ror=0bp5b1111; name=Albury Metropolitan Centre for Port Studies; ultimateParent=I01; country=GB; =Albury Metropolitan Centre for Port Studies |
| res:I21 | ultimateParent=I21; name=Wexcombe Institute for Estuary Research; countsTowards=I21; country=GB; ror=0ms1zdt74; parent=I05; =Wexcombe Institute for Estuary Research; institutionType=itype-AFF |
| res:I22 | ror=0rn08b412; name=Sandhaven Institute for Wave Research; institutionType=itype-AFF; ultimateParent=I22; parent=I07; country=DE; =Sandhaven Institute for Wave Research; countsTowards=I22 |
| res:I23 | ror=0zekfva10; countsTowards=I09; =Rostval Laboratory for Offshore Structures; institutionType=itype-LAB; unitOf=I09; country=NL; ultimateParent=I09; countsTowards=I23; parent=I09; name=Rostval Laboratory for Offshore Structures |
| res:I24 | =Pellmore University; country=US; name=Pellmore University; countsTowards=I24; ror=0n0j86p46; institutionType=itype-UNI; ultimateParent=I24 |
| res:I25 | institutionType=itype-UNI; countsTowards=I25; =Università di Calvessa; ror=08mz9rf83; name=Università di Calvessa; country=IT; ultimateParent=I25 |
| res:I26 | countsTowards=I26; name=Tarnowa University of Technology; country=PL; ultimateParent=I26; =Tarnowa University of Technology; institutionType=itype-UNI; ror=0189z6431 |
| res:I27 | ultimateParent=I27; =Kirrabay University; institutionType=itype-UNI; country=AU; name=Kirrabay University; ror=0wam41j64; countsTowards=I27 |
| res:I28 | countsTowards=I28; =Nordvik University; country=NO; institutionType=itype-UNI; ultimateParent=I28; name=Nordvik University; ror=00etvqe29 |
| res:I29 | countsTowards=I29; ror=0g18r1r20; institutionType=itype-GOV; =Hanseo Ocean Institute; ultimateParent=I29; country=KR; name=Hanseo Ocean Institute |
| res:I30 | ror=0ha4xax60; country=PT; institutionType=itype-UNI; countsTowards=I30; =Universidade de Arvela; ultimateParent=I30; name=Universidade de Arvela |
| res:I31 | country=US; countsTowards=I31; ror=0nq63kw54; name=Corrimal Marine Systems Inc; ultimateParent=I31; =Corrimal Marine Systems Inc; institutionType=itype-CO |
| res:S01 | name=Journal of Marine Autonomy; tier=tier-K3; sourceType=stype-JOU; issn=9866-3925; =Journal of Marine Autonomy |
| res:S02 | =Ocean Sensing Letters; tier=tier-K2; name=Ocean Sensing Letters; sourceType=stype-JOU; issn=3195-4973 |
| res:S03 | name=Coastal Engineering Review; sourceType=stype-JOU; issn=1154-9679; =Coastal Engineering Review; tier=tier-K1 |
| res:S04 | =Global Marine Science Reports; tier=tier-K0; issn=8864-5325; sourceType=stype-JOU; name=Global Marine Science Reports |
| res:S05 | =OceanArXiv; name=OceanArXiv; sourceType=stype-REP |
| res:S06 | sourceType=stype-JOU; name=Proceedings of the Hydrodynamics Forum; issn=9804-2748; tier=tier-K2; =Proceedings of the Hydrodynamics Forum |
| res:S07 | issn=1483-2835; sourceType=stype-JOU; name=Journal of Estuarine Dynamics; tier=tier-K2; =Journal of Estuarine Dynamics |
| res:S08 | issn=9832-2482; tier=tier-K1; name=Hydrology Notes; sourceType=stype-JOU; =Hydrology Notes |
| res:S09 | =Journal of Coastal Hydraulics; issn=3431-7424; name=Journal of Coastal Hydraulics; tier=tier-K2; sourceType=stype-JOU |
| res:S10 | tier=tier-K1; =Marine Technology Bulletin; sourceType=stype-JOU; issn=7809-8515; name=Marine Technology Bulletin |
| res:S11 | sourceType=stype-JOU; tier=tier-K2; name=Annals of Ocean Observation; issn=8324-8964; =Annals of Ocean Observation |
| res:S12 | name=Shelf Sea Letters; issn=8103-2767; tier=tier-K1; =Shelf Sea Letters; sourceType=stype-JOU |
| res:S13 | name=International Journal of Ocean Frontiers; =International Journal of Ocean Frontiers; sourceType=stype-JOU; tier=tier-K0; issn=1765-9671 |
| res:S14 | sourceType=stype-REP; =CoastRxiv; name=CoastRxiv |

Query 2:

| s | props |
|---|---|
| res:W01 | retracted=false; workType=wtype-ART; source=S01; year=2021; recordSource=origin-FEED; countsAs=W01 |
| res:W02 | countsAs=W03; versionOf=W03; source=S05; recordSource=origin-FEED; workType=wtype-PPR; year=2022; retracted=false |
| res:W03 | workType=wtype-ART; retracted=false; countsAs=W03; source=S02; recordSource=origin-FEED; year=2023 |
| res:W04 | workType=wtype-EDT; retracted=false; source=S01; recordSource=origin-FEED; year=2023; countsAs=W04 |
| res:W05 | year=2024; retracted=false; workType=wtype-ERR; countsAs=W05; source=S02; recordSource=origin-FEED |
| res:W06 | countsAs=W06; year=2024; workType=wtype-ART; source=S03; retracted=false; recordSource=origin-FEED |
| res:W07 | source=S04; workType=wtype-ART; year=2020; countsAs=W07; retracted=false; recordSource=origin-FEED |
| res:W08 | retracted=false; source=S01; recordSource=origin-FEED; countsAs=W08; workType=wtype-ART; year=2025 |
| res:W09 | workType=wtype-PTX; year=2023; recordSource=origin-FEED; countsAs=W09; retracted=false; source=S01 |
| res:W10 | workType=wtype-PTX; source=S02; recordSource=origin-FEED; year=2024; countsAs=W10; retracted=false |
| res:W1000 | retracted=false; source=S01; recordSource=origin-FEED; year=2024; countsAs=W1000; workType=wtype-ART |
| res:W1001 | year=2024; workType=wtype-ART; retracted=false; countsAs=W1001; recordSource=origin-FEED; source=S09 |
| res:W1002 | workType=wtype-SUP; retracted=false; source=S06; year=2021; recordSource=origin-FEED; countsAs=W1002 |
| res:W1003 | year=2024; retracted=false; countsAs=W1003; source=S06; recordSource=origin-FEED; workType=wtype-ART |
| res:W1004 | retracted=false; source=S02; countsAs=W1004; recordSource=origin-FEED; year=2024; workType=wtype-ART |
| res:W1005 | retracted=false; source=S02; recordSource=origin-FEED; workType=wtype-ART; countsAs=W1005; year=2025 |
| res:W1006 | retracted=false; source=S13; recordSource=origin-FEED; countsAs=W1006; year=2020; workType=wtype-REV |
| res:W1007 | retracted=false; source=S01; countsAs=W1007; year=2023; recordSource=origin-FEED; workType=wtype-ART |
| res:W1008 | retracted=false; year=2025; countsAs=W1008; recordSource=origin-FEED; source=S11; workType=wtype-ART |
| res:W1009 | recordSource=origin-FEED; year=2022; workType=wtype-REV; countsAs=W1009; source=S12; retracted=false |
| res:W101 | workType=wtype-ART; year=2019; retracted=false; source=S08; recordSource=origin-FEED; countsAs=W101 |
| res:W1010 | recordSource=origin-FEED; year=2020; workType=wtype-ART; countsAs=W1010; retracted=false; source=S02 |
| res:W1011 | year=2021; recordSource=origin-FEED; countsAs=W1011; source=S04; workType=wtype-REV; retracted=false |
| res:W1012 | workType=wtype-ART; retracted=false; source=S08; recordSource=origin-FEED; year=2020; countsAs=W1012 |
| res:W1013 | retracted=false; countsAs=W1013; recordSource=origin-FEED; source=S04; workType=wtype-ART; year=2025 |
| res:W1014 | year=2023; workType=wtype-ART; retracted=false; source=S01; countsAs=W1014; recordSource=origin-FEED |
| res:W1015 | source=S12; countsAs=W1015; recordSource=origin-FEED; year=2023; retracted=false; workType=wtype-ART |
| res:W1016 | countsAs=W1016; source=S06; recordSource=origin-FEED; workType=wtype-ART; year=2025; retracted=false |
| res:W1017 | source=S07; recordSource=origin-FEED; countsAs=W1017; workType=wtype-ART; year=2025; retracted=false |
| res:W1018 | source=S08; recordSource=origin-FEED; countsAs=W1018; retracted=false; workType=wtype-ART; year=2025 |
| res:W1019 | source=S03; countsAs=W1019; recordSource=origin-FEED; year=2020; workType=wtype-ART; retracted=false |
| res:W102 | source=S07; year=2023; recordSource=origin-FEED; workType=wtype-ART; retracted=false; countsAs=W102 |
| res:W1020 | retracted=false; source=S13; recordSource=origin-FEED; countsAs=W1020; year=2020; workType=wtype-ART |
| res:W1021 | workType=wtype-ART; retracted=false; countsAs=W1021; source=S02; year=2021; recordSource=origin-FEED |
| res:W1022 | workType=wtype-ART; retracted=false; countsAs=W1022; recordSource=origin-FEED; source=S09; year=2023 |
| res:W1023 | year=2024; workType=wtype-ART; retracted=false; recordSource=origin-FEED; source=S09; countsAs=W1023 |
| res:W1024 | source=S12; retracted=false; recordSource=origin-FEED; year=2020; countsAs=W1024; workType=wtype-ART |
| res:W1025 | workType=wtype-ART; retracted=true; source=S02; recordSource=origin-FEED; year=2020; countsAs=W1025 |
| res:W1026 | recordSource=origin-FEED; workType=wtype-ART; countsAs=W1026; retracted=false; year=2019; source=S09 |
| res:W1027 | retracted=false; countsAs=W1027; source=S10; recordSource=origin-FEED; workType=wtype-REV; year=2024 |
| res:W1028 | year=2019; recordSource=origin-FEED; countsAs=W1028; workType=wtype-ART; source=S03; retracted=false |
| res:W1029 | retracted=false; workType=wtype-ART; countsAs=W1029; source=S09; recordSource=origin-FEED; year=2022 |
| res:W103 | source=S07; recordSource=origin-FEED; year=2020; countsAs=W103; retracted=false; workType=wtype-ART |
| res:W1030 | source=S12; retracted=false; countsAs=W1030; recordSource=origin-FEED; year=2021; workType=wtype-ART |
| res:W1031 | retracted=false; workType=wtype-ART; year=2025; source=S01; countsAs=W1031; recordSource=origin-FEED |
| res:W1032 | countsAs=W1032; retracted=false; year=2019; source=S02; recordSource=origin-FEED; workType=wtype-ART |
| res:W1033 | countsAs=W1033; recordSource=origin-FEED; workType=wtype-ART; retracted=false; year=2025; source=S08 |
| res:W1034 | year=2025; workType=wtype-EDT; retracted=false; countsAs=W1034; source=S06; recordSource=origin-FEED |
| res:W1035 | workType=wtype-ART; source=S03; retracted=false; countsAs=W1035; year=2021; recordSource=origin-FEED |
| res:W1036 | retracted=false; source=S06; countsAs=W1036; recordSource=origin-FEED; year=2024; workType=wtype-ART |
| res:W1037 | source=S02; recordSource=origin-FEED; year=2022; workType=wtype-ART; countsAs=W1037; retracted=true |
| res:W1038 | retracted=false; countsAs=W1038; source=S02; year=2020; recordSource=origin-FEED; workType=wtype-ART |
| res:W1039 | recordSource=origin-FEED; source=S11; countsAs=W1039; retracted=false; workType=wtype-ART; year=2023 |
| res:W104 | year=2019; recordSource=origin-FEED; countsAs=W104; retracted=false; workType=wtype-ART; source=S07 |
| res:W1040 | source=S08; recordSource=origin-FEED; workType=wtype-ART; year=2024; countsAs=W1040; retracted=false |
| res:W1041 | workType=wtype-EDT; source=S03; retracted=false; year=2025; countsAs=W1041; recordSource=origin-FEED |
| res:W1042 | workType=wtype-ART; retracted=false; year=2025; source=S01; countsAs=W1042; recordSource=origin-FEED |
| res:W1043 | retracted=false; source=S08; year=2023; recordSource=origin-FEED; countsAs=W1043; workType=wtype-EDT |
| res:W1044 | source=S02; year=2021; recordSource=origin-FEED; workType=wtype-ART; retracted=false; countsAs=W1044 |
| res:W1046 | retracted=false; source=S01; recordSource=origin-FEED; countsAs=W1046; year=2024; workType=wtype-ART |
(790 more rows not shown)

Run more queries, or give the final answers.

The model

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?w ?au ?i ?t ?y ?wt (GROUP_CONCAT(DISTINCT STRAFTER(STR(?ty),"research/")) AS ?types) WHERE {
  ?a res:author ?au; res:work ?w . ?a a ?ty .
  OPTIONAL {?a res:institution ?i}
  ?w res:workType ?wt; res:year ?y .
  FILTER(?au IN (res:A01,res:A02,res:A03,res:A101,res:A04,res:A05,res:A104,res:A06,res:A09,res:A103))
} GROUP BY ?w ?au ?i ?t ?y ?wt ORDER BY ?au ?w
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?i (COUNT(DISTINCT ?w) AS ?n) (SUM(IF(?y=2024,1,0)) AS ?n24) (SUM(IF(?y=2025,1,0)) AS ?n25) WHERE {
  ?w a res:ResearchWork; res:creditedInstitution ?i; res:year ?y .
  FILTER(?i IN (res:I01,res:I02,res:I03,res:I04,res:I05,res:I06,res:I07,res:I08,res:I09,res:I14))
} GROUP BY ?i ORDER BY ?i
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?y (COUNT(DISTINCT ?w) AS ?n) WHERE {
  ?w a res:ResearchWork; res:source ?s; res:year ?y .
  FILTER(?s IN (res:S01,res:S02,res:S04,res:S06))
} GROUP BY ?s ?y ORDER BY ?s ?y
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?w ?p ?o WHERE {
  ?w ?p ?o .
  FILTER(?w IN (res:W23,res:W37,res:W38,res:W70,res:W71,res:W08,res:W30,res:W31,res:W07))
  FILTER(?p != res:cites)
} ORDER BY ?w ?p
```


<br>

Query results

Query 1:

| w | au | i | t | y | wt | types |
|---|---|---|---|---|---|---|
| res:W01 | res:A01 | res:I02 |  | 2021 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W04 | res:A01 | res:I02 |  | 2023 | res:wtype-EDT | Authorship CreditedAuthorship |
| res:W05 | res:A01 | res:I02 |  | 2024 | res:wtype-ERR | Authorship CreditedAuthorship |
| res:W06 | res:A01 | res:I02 |  | 2024 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W1005 | res:A01 | res:I02 |  | 2025 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W12 | res:A01 | res:I02 |  | 2024 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W238 | res:A01 | res:I02 |  | 2023 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W271 | res:A01 | res:I02 |  | 2019 | res:wtype-EDT | Authorship CreditedAuthorship |
| res:W374 | res:A01 | res:I02 |  | 2023 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W464 | res:A01 | res:I02 |  | 2021 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W676 | res:A01 | res:I02 |  | 2025 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W813 | res:A01 | res:I02 |  | 2025 | res:wtype-ERR | Authorship CreditedAuthorship |
| res:W949 | res:A01 | res:I02 |  | 2024 | res:wtype-ERR | Authorship CreditedAuthorship |
| res:W02 | res:A02 | res:I02 |  | 2022 | res:wtype-PPR | Authorship CreditedAuthorship |
| res:W07 | res:A02 | res:I02 |  | 2020 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W1048 | res:A02 | res:I02 |  | 2023 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W1050 | res:A02 | res:I02 |  | 2024 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W19 | res:A02 | res:I02 |  | 2025 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W449 | res:A02 | res:I02 |  | 2022 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W663 | res:A02 | res:I02 |  | 2021 | res:wtype-PPR | Authorship CreditedAuthorship |
| res:W869 | res:A02 | res:I02 |  | 2023 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W972 | res:A02 | res:I02 |  | 2020 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W03 | res:A03 | res:I02 |  | 2023 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W206 | res:A03 | res:I02 |  | 2020 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W763 | res:A03 | res:I02 |  | 2024 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W817 | res:A03 | res:I02 |  | 2023 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W08 | res:A04 | res:I07 |  | 2025 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W1020 | res:A04 | res:I07 |  | 2020 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W16 | res:A04 | res:I07 |  | 2025 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W428 | res:A04 | res:I07 |  | 2022 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W603 | res:A04 | res:I07 |  | 2025 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W720 | res:A04 | res:I07 |  | 2019 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W890 | res:A04 | res:I07 |  | 2023 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W985 | res:A04 | res:I07 |  | 2023 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W998 | res:A04 | res:I07 |  | 2022 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W1038 | res:A05 | res:I05 |  | 2020 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W14 | res:A05 | res:I05 |  | 2025 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W37 | res:A05 | res:I05 |  | 2022 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W554 | res:A05 | res:I05 |  | 2024 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W565 | res:A05 | res:I05 |  | 2019 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W785 | res:A05 | res:I05 |  | 2020 | res:wtype-REV | Authorship CreditedAuthorship |
| res:W792 | res:A05 | res:I05 |  | 2023 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W1031 | res:A06 | res:I12 |  | 2025 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W28 | res:A06 | res:I12 |  | 2024 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W34 | res:A06 | res:I12 |  | 2025 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W38 | res:A06 | res:I12 |  | 2023 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W384 | res:A06 | res:I12 |  | 2025 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W525 | res:A06 | res:I12 |  | 2024 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W835 | res:A06 | res:I12 |  | 2020 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W1025 | res:A09 | res:I07 |  | 2020 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W20 | res:A09 | res:I07 |  | 2024 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W203 | res:A09 | res:I07 |  | 2024 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W21 | res:A09 | res:I07 |  | 2024 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W22 | res:A09 | res:I07 |  | 2024 | res:wtype-REV | Authorship CreditedAuthorship |
| res:W23 | res:A09 | res:I07 |  | 2023 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W232 | res:A09 | res:I07 |  | 2019 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W268 | res:A09 | res:I07 |  | 2025 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W366 | res:A09 | res:I07 |  | 2022 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W417 | res:A09 | res:I07 |  | 2023 | res:wtype-ART | Authorship CreditedAuthorship |
| res:W714 | res:A09 | res:I07 |  | 2025 | res:wtype-ART | Authorship CreditedAuthorship |
(19 more rows not shown)

Query 2:

| i | n | n24 | n25 |
|---|---|---|---|
| res:I01 | 140 | 0 | 0 |
| res:I02 | 95 | 0 | 0 |
| res:I03 | 58 | 0 | 0 |
| res:I04 | 23 | 0 | 0 |
| res:I05 | 46 | 0 | 0 |
| res:I06 | 16 | 0 | 0 |
| res:I07 | 59 | 0 | 0 |
| res:I08 | 25 | 0 | 0 |
| res:I09 | 48 | 0 | 0 |
| res:I14 | 45 | 0 | 0 |

Query 3:

| s | y | n |
|---|---|---|
| res:S01 | 2019 | 12 |
| res:S01 | 2020 | 8 |
| res:S01 | 2021 | 9 |
| res:S01 | 2022 | 8 |
| res:S01 | 2023 | 11 |
| res:S01 | 2024 | 24 |
| res:S01 | 2025 | 16 |
| res:S02 | 2019 | 15 |
| res:S02 | 2020 | 12 |
| res:S02 | 2021 | 12 |
| res:S02 | 2022 | 8 |
| res:S02 | 2023 | 18 |
| res:S02 | 2024 | 25 |
| res:S02 | 2025 | 20 |
| res:S06 | 2019 | 4 |
| res:S06 | 2020 | 2 |
| res:S06 | 2021 | 5 |
| res:S06 | 2022 | 3 |
| res:S06 | 2023 | 8 |
| res:S06 | 2024 | 9 |
| res:S06 | 2025 | 5 |

Query 4:

| w | p | o |
|---|---|---|
| res:W07 | rdf:type | res:Work |
| res:W07 | rdfs:label | Low-cost sonar arrays for coastal monitoring |
| res:W07 | res:countsAs | res:W07 |
| res:W07 | res:creditedCountry | GB |
| res:W07 | res:creditedInstitution | res:I01 |
| res:W07 | res:creditedInstitution | res:I02 |
| res:W07 | res:doi | 10.55555/s04.2020.7029 |
| res:W07 | res:hasPerson | res:A01 |
| res:W07 | res:recordSource | res:origin-FEED |
| res:W07 | res:retracted | false |
| res:W07 | res:source | res:S04 |
| res:W07 | res:title | Low-cost sonar arrays for coastal monitoring |
| res:W07 | res:workType | res:wtype-ART |
| res:W07 | res:year | 2020 |
| res:W08 | rdf:type | res:Work |
| res:W08 | rdf:type | res:ResearchWork |
| res:W08 | rdfs:label | Turbulent wake modelling behind tidal turbines |
| res:W08 | res:countsAs | res:W08 |
| res:W08 | res:creditedCountry | DE |
| res:W08 | res:creditedInstitution | res:I07 |
| res:W08 | res:doi | 10.55555/s01.2025.5958 |
| res:W08 | res:hasPerson | res:A04 |
| res:W08 | res:recordSource | res:origin-FEED |
| res:W08 | res:retracted | false |
| res:W08 | res:source | res:S01 |
| res:W08 | res:title | Turbulent wake modelling behind tidal turbines |
| res:W08 | res:workType | res:wtype-ART |
| res:W08 | res:year | 2025 |
| res:W23 | rdf:type | res:Work |
| res:W23 | rdfs:label | Anomalous dissipation in estuarine plumes |
| res:W23 | res:countsAs | res:W23 |
| res:W23 | res:creditedCountry | DE |
| res:W23 | res:creditedInstitution | res:I07 |
| res:W23 | res:doi | 10.55555/s02.2023.2925 |
| res:W23 | res:hasPerson | res:A09 |
| res:W23 | res:recordSource | res:origin-FEED |
| res:W23 | res:retracted | true |
| res:W23 | res:source | res:S02 |
| res:W23 | res:title | Anomalous dissipation in estuarine plumes |
| res:W23 | res:workType | res:wtype-ART |
| res:W23 | res:year | 2023 |
| res:W30 | rdf:type | res:ResearchWork |
| res:W30 | rdf:type | res:Work |
| res:W30 | rdfs:label | Tidal stream resource maps for the Dunmore coast |
| res:W30 | res:countsAs | res:W30 |
| res:W30 | res:creditedCountry | GB |
| res:W30 | res:creditedInstitution | res:I13 |
| res:W30 | res:doi | 10.55555/s03.2019.9502 |
| res:W30 | res:hasPerson | res:A15 |
| res:W30 | res:recordSource | res:origin-FEED |
| res:W30 | res:retracted | false |
| res:W30 | res:source | res:S03 |
| res:W30 | res:title | Tidal stream resource maps for the Dunmore coast |
| res:W30 | res:workType | res:wtype-ART |
| res:W30 | res:year | 2019 |
| res:W31 | rdf:type | res:Work |
| res:W31 | rdf:type | res:ResearchWork |
| res:W31 | rdfs:label | Machine-learned tidal forecasts |
| res:W31 | res:countsAs | res:W31 |
| res:W31 | res:creditedCountry | NL |
(69 more rows not shown)

Run more queries, or give the final answers.

The model

<invoke name="sparql">
</invoke>
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?rep (COUNT(DISTINCT ?w) AS ?alls) (COUNT(DISTINCT ?c) AS ?rs) WHERE {
  VALUES ?rep {res:A01 res:A05 res:A07 res:A09}
  ?rep res:samePersonAs? ?au .
  ?a a res:Authorship; res:author ?au; res:work ?w .
  OPTIONAL { ?w res:countsAs ?c . ?c a res:ResearchWork }
} GROUP BY ?rep
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT DISTINCT ?w ?wt ?y ?c ?rw WHERE {
  res:A01 res:samePersonAs? ?au .
  ?a a res:Authorship; res:author ?au; res:work ?w .
  ?w res:workType ?wt; res:year ?y .
  OPTIONAL { ?w res:countsAs ?c }
  OPTIONAL { ?w a res:ResearchWork . BIND("RW" AS ?rw) }
} ORDER BY ?w
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT (COUNT(?w) AS ?cnt) (SUM(xsd:decimal(?g)/xsd:decimal(?n)) AS ?frac) WHERE {
 {SELECT ?w (COUNT(DISTINCT ?p) AS ?n) (COUNT(DISTINCT ?pg) AS ?g) WHERE {
  ?w a res:ResearchWork; res:year ?y; res:creditedInstitution res:I07; res:hasPerson ?p . FILTER(STR(?y)="2024")
  OPTIONAL { ?a a res:Authorship; res:work ?w; res:author ?au; res:institution ?i . ?i res:countsTowards res:I07 . ?p res:samePersonAs? ?au . BIND(?p AS ?pg) }
 } GROUP BY ?w}
}
```
```sparql
PREFIX res: <https://example.org/research/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT (COUNT(?w) AS ?cnt) (SUM(xsd:decimal(?g)/xsd:decimal(?n)) AS ?frac) WHERE {
 {SELECT ?w (COUNT(DISTINCT ?p) AS ?n) (COUNT(DISTINCT ?pg) AS ?g) WHERE {
  ?w a res:ResearchWork; res:year ?y; res:creditedInstitution res:I09; res:hasPerson ?p . FILTER(STR(?y)="2024")
  OPTIONAL { ?a a res:Authorship; res:work ?w; res:author ?au; res:institution ?i . ?i res:countsTowards res:I09 . ?p res:samePersonAs? ?au . BIND(?p AS ?pg) }
 } GROUP BY ?w}
}
```
```sparql
PREFIX res: <https://example.org/research/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT (COUNT(?w) AS ?cnt) (SUM(xsd:decimal(?g)/xsd:decimal(?n)) AS ?frac) WHERE {
 {SELECT ?w (COUNT(DISTINCT ?p) AS ?n) (COUNT(DISTINCT ?pg) AS ?g) WHERE {
  ?w a res:ResearchWork; res:year ?y; res:creditedCountry "GB"; res:hasPerson ?p . FILTER(STR(?y)="2024")
  OPTIONAL { ?a a res:Authorship; res:work ?w; res:author ?au; res:institution ?i . ?i res:country "GB" . ?p res:samePersonAs? ?au . BIND(?p AS ?pg) }
 } GROUP BY ?w}
}
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?y (COUNT(DISTINCT ?w) AS ?n) WHERE {
  ?w a res:ResearchWork; res:year ?y; res:creditedInstitution res:I07 .
} GROUP BY ?y ORDER BY ?y
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?w ?p ?o WHERE {
  ?w ?p ?o . FILTER(?w IN (res:W70,res:W71))
  FILTER(?p != res:cites)
}
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE {
  ?s ?p ?o . FILTER(REGEX(STR(?s),"research/(wtype|tier|origin|stype|itype)-"))
}
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?t ?r (COUNT(DISTINCT ?w) AS ?n) WHERE {
  ?w a res:ResearchWork; res:creditedInstitution res:I02; res:source ?s .
  OPTIONAL { ?s res:tier ?t . OPTIONAL{?t res:tierRank ?r} }
} GROUP BY ?t ?r
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?a ?b WHERE { ?a res:versionOf ?b }
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?t (COUNT(DISTINCT ?x) AS ?tot) (COUNT(DISTINCT ?xw) AS ?win) WHERE {
  ?c res:citedWork ?v; res:citingWork ?x .
  ?v res:countsAs ?t . FILTER(?t IN (res:W30,res:W31))
  ?t res:year ?ty . ?x res:year ?xy .
  OPTIONAL { FILTER(xsd:integer(?xy) <= xsd:integer(?ty)+2 && xsd:integer(?xy) >= xsd:integer(?ty)) BIND(?x AS ?xw) }
} GROUP BY ?t
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?x ?xy
 (EXISTS{ res:W03 res:hasPerson ?p . ?x res:hasPerson ?q . ?p res:samePersonAs? ?q } AS ?au)
 (EXISTS{ ?x res:creditedInstitution res:I02 } AS ?i02)
 (EXISTS{ ?x res:creditedInstitution res:I01 } AS ?i01)
 (EXISTS{ ?x res:creditedCountry "GB" } AS ?gb)
WHERE {
  ?c res:citedWork ?v; res:citingWork ?x . FILTER(?v IN (res:W02,res:W03))
  ?x res:year ?xy .
  FILTER(?x != res:W02 && ?x != res:W03)
} GROUP BY ?x ?xy
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?w ?hop WHERE {
  { ?w res:cites res:W01 . BIND(1 AS ?hop) }
  UNION { ?w res:cites ?y . ?y res:cites res:W01 . BIND(2 AS ?hop) }
}
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?i (COUNT(DISTINCT ?x) AS ?n) WHERE {
  ?x res:cites ?w . ?w a res:ResearchWork; res:creditedInstitution res:I07 .
  ?x res:creditedInstitution ?i .
} GROUP BY ?i ORDER BY DESC(?n)
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?w (COUNT(DISTINCT ?x) AS ?n) WHERE {
  ?x res:cites ?w . ?w a res:ResearchWork; res:creditedInstitution res:I07 .
} GROUP BY ?w ORDER BY DESC(?n) LIMIT 5
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT (COUNT(DISTINCT ?x) AS ?n) (COUNT(DISTINCT ?w) AS ?nw) WHERE {
  ?w res:hasPerson ?q . res:A09 res:samePersonAs? ?q . ?w a res:ResearchWork .
  ?x res:cites ?w .
}
```

Query results

Query 1:

| rep | alls | rs |
|---|---|---|
| res:A01 | 32 | 19 |
| res:A05 | 10 | 9 |
| res:A07 | 18 | 15 |
| res:A09 | 18 | 12 |

Query 2:

| w | wt | y | c | rw |
|---|---|---|---|---|
| res:W01 | res:wtype-ART | 2021 | res:W01 | RW |
| res:W02 | res:wtype-PPR | 2022 | res:W03 |  |
| res:W03 | res:wtype-ART | 2023 | res:W03 | RW |
| res:W04 | res:wtype-EDT | 2023 | res:W04 |  |
| res:W05 | res:wtype-ERR | 2024 | res:W05 |  |
| res:W06 | res:wtype-ART | 2024 | res:W06 | RW |
| res:W07 | res:wtype-ART | 2020 | res:W07 |  |
| res:W1005 | res:wtype-ART | 2025 | res:W1005 | RW |
| res:W1048 | res:wtype-ART | 2023 | res:W1048 | RW |
| res:W1050 | res:wtype-ART | 2024 | res:W1050 | RW |
| res:W12 | res:wtype-ART | 2024 | res:W12 | RW |
| res:W19 | res:wtype-ART | 2025 | res:W19 | RW |
| res:W206 | res:wtype-ART | 2020 | res:W206 | RW |
| res:W238 | res:wtype-ART | 2023 | res:W238 | RW |
| res:W271 | res:wtype-EDT | 2019 | res:W271 |  |
| res:W374 | res:wtype-ART | 2023 | res:W374 |  |
| res:W449 | res:wtype-ART | 2022 | res:W449 |  |
| res:W464 | res:wtype-ART | 2021 | res:W464 | RW |
| res:W555 | res:wtype-ART | 2020 | res:W555 | RW |
| res:W612 | res:wtype-PPR | 2023 | res:W869 |  |
| res:W663 | res:wtype-PPR | 2021 | res:W464 |  |
| res:W676 | res:wtype-ART | 2025 | res:W676 | RW |
| res:W763 | res:wtype-ART | 2024 | res:W763 |  |
| res:W813 | res:wtype-ERR | 2025 | res:W813 |  |
| res:W817 | res:wtype-ART | 2023 | res:W817 | RW |
| res:W843 | res:wtype-ART | 2023 | res:W843 | RW |
| res:W869 | res:wtype-ART | 2023 | res:W869 | RW |
| res:W905 | res:wtype-ART | 2025 | res:W905 | RW |
| res:W936 | res:wtype-EDT | 2019 | res:W936 |  |
| res:W949 | res:wtype-ERR | 2024 | res:W949 |  |
| res:W972 | res:wtype-ART | 2020 | res:W972 | RW |
| res:W984 | res:wtype-ART | 2024 | res:W984 | RW |

Query 3:

| cnt | frac |
|---|---|
| 13 | 11.00000000000000000000000000 |

Query 4:

| cnt | frac |
|---|---|
| 16 | 4.00 |

Query 5:

| cnt | frac |
|---|---|
| 46 | 42.00000000000000000000000001 |

Query 6:

| y | n |
|---|---|
| 2019 | 7 |
| 2020 | 5 |
| 2021 | 8 |
| 2022 | 8 |
| 2023 | 11 |
| 2024 | 13 |
| 2025 | 7 |

Query 7:

| w | p | o |
|---|---|---|
| res:W71 | res:source | res:S01 |
| res:W70 | res:countsAs | res:W70 |
| res:W70 | res:source | res:S02 |
| res:W70 | res:year | 2023 |
| res:W71 | res:creditedInstitution | res:I02 |
| res:W70 | rdfs:label | Optical backscatter in turbid estuaries |
| res:W71 | res:countsAs | res:W71 |
| res:W70 | res:recordSource | res:origin-FEED |
| res:W70 | res:title | Optical backscatter in turbid estuaries |
| res:W71 | res:hasPerson | res:A08 |
| res:W70 | res:creditedCountry | GB |
| res:W70 | rdf:type | res:ResearchWork |
| res:W70 | res:doi | 10.55555/s02.2023.6434 |
| res:W70 | res:retracted | false |
| res:W70 | res:workType | res:wtype-ART |
| res:W71 | res:recordSource | res:origin-FEED |
| res:W70 | res:creditedInstitution | res:I06 |
| res:W71 | res:doi | 10.55555/s01.2024.6287 |
| res:W71 | res:creditedInstitution | res:I03 |
| res:W71 | res:creditedInstitution | res:I04 |
| res:W70 | rdf:type | res:Work |
| res:W71 | rdf:type | res:ResearchWork |
| res:W71 | res:year | 2024 |
| res:W71 | res:workType | res:wtype-ART |
| res:W71 | res:creditedInstitution | res:I01 |
| res:W71 | res:creditedCountry | GB |
| res:W71 | rdfs:label | Low-power optical sensors for gliders |
| res:W70 | res:hasPerson | res:A08 |
| res:W71 | res:title | Low-power optical sensors for gliders |
| res:W71 | res:retracted | false |
| res:W71 | rdf:type | res:Work |

Query 8:

| s | p | o |
|---|---|---|
| res:itype-LAB | skos:prefLabel | Laboratory, centre or institute |
| res:wtype-EDT | skos:inScheme | res:WorkTypes |
| res:origin-CRIS | skos:definition | Entered by an institution in its own research information system. As good as a feed record. |
| res:tier-K3 | skos:definition | The highest tier: the journals the list ranks first. A higher number is a higher tier, so K3 ranks above K2, and K2 above K1. |
| res:wtype-EDT | rdfs:label | Editorial |
| res:itype-LAB | skos:notation | LAB |
| res:wtype-SUP | rdf:type | skos:Concept |
| res:itype-AFF | rdf:type | skos:Concept |
| res:stype-REP | rdfs:label | Repository |
| res:tier-K2 | skos:inScheme | res:Tiers |
| res:itype-UNI | skos:notation | UNI |
| res:wtype-ART | skos:inScheme | res:WorkTypes |
| res:itype-AFF | skos:prefLabel | Affiliated institute |
| res:itype-GOV | rdf:type | skos:Concept |
| res:tier-K1 | rdfs:label | Tier K1 |
| res:wtype-EDT | rdf:type | skos:Concept |
| res:stype-JOU | skos:prefLabel | Journal |
| res:stype-JOU | skos:inScheme | res:SourceTypes |
| res:itype-LAB | skos:inScheme | res:InstitutionTypes |
| res:tier-K0 | skos:prefLabel | Delisted source |
| res:origin-STG | skos:prefLabel | Staging load |
| res:wtype-PPR | skos:definition | A version posted to a repository before or without peer review. Research output, but if its published version is in the data (res:versionOf), the two are one research work, counted once. |
| res:itype-LAB | skos:definition | A research unit inside its parent institution. Its works are also its parent's works, and its parent's parent's, to the top. |
| res:origin-CRIS | skos:prefLabel | Institutional research information system |
| res:wtype-REV | rdfs:label | Review |
| res:stype-REP | skos:inScheme | res:SourceTypes |
| res:wtype-ART | rdf:type | skos:Concept |
| res:itype-GOV | skos:definition | A government agency or laboratory. |
| res:itype-CO | skos:definition | A company. |
| res:wtype-PTX | rdf:type | skos:Concept |
| res:origin-STG | rdf:type | skos:Concept |
| res:tier-K1 | skos:definition | The lowest tier that is still listed: below K2. |
| res:itype-SYS | rdf:type | skos:Concept |
| res:stype-JOU | rdfs:label | Journal |
| res:wtype-ART | skos:notation | ART |
| res:itype-LAB | rdfs:label | Lab or centre |
| res:itype-SYS | skos:notation | SYS |
| res:wtype-PPR | skos:inScheme | res:WorkTypes |
| res:tier-K3 | rdfs:label | Tier K3 |
| res:origin-FEED | skos:definition | Loaded from the external bibliographic feed. |
| res:itype-AFF | skos:definition | A legally independent institute linked to a university by an agreement. Its parent link records that agreement and nothing more: an affiliated institute is not a unit of its parent, is not part of the parent's system, and its works are never credited to the parent or to anything above it. Its ultimate parent is itself. |
| res:itype-AFF | skos:inScheme | res:InstitutionTypes |
| res:wtype-ERR | skos:notation | ERR |
| res:itype-CO | skos:notation | CO |
| res:origin-STG | skos:inScheme | res:RecordSources |
| res:wtype-REV | skos:definition | A peer-reviewed article that surveys a field. Research output. |
| res:itype-AFF | skos:notation | AFF |
| res:tier-K2 | res:tierRank | 2 |
| res:wtype-REV | skos:inScheme | res:WorkTypes |
| res:wtype-ART | rdfs:label | Article |
| res:tier-K0 | skos:notation | K0 |
| res:itype-CO | skos:inScheme | res:InstitutionTypes |
| res:wtype-PTX | skos:prefLabel | Paratext |
| res:tier-K2 | rdfs:label | Tier K2 |
| res:itype-AFF | rdfs:label | Affiliated institute |
| res:tier-K3 | rdf:type | skos:Concept |
| res:tier-K0 | skos:definition | Not a tier: a source removed from the list for failing its review of editorial practice. Works that appeared in a K0 source are not research output, whatever their type, and are left out of every count of works and citations. |
| res:itype-SYS | skos:prefLabel | University system |
| res:wtype-ERR | rdf:type | skos:Concept |
| res:tier-K2 | skos:notation | K2 |
(75 more rows not shown)

Query 9:

| t | r | n |
|---|---|---|
| res:tier-K2 | 2 | 49 |
| res:tier-K1 | 3 | 26 |
| res:tier-K3 | 1 | 19 |
|  |  | 1 |

Query 10:

| a | b |
|---|---|
| res:W226 | res:W710 |
| res:W1049 | res:W789 |
| res:W432 | res:W879 |
| res:W210 | res:W902 |
| res:W416 | res:W640 |
| res:W506 | res:W422 |
| res:W611 | res:W301 |
| res:W219 | res:W251 |
| res:W460 | res:W496 |
| res:W663 | res:W464 |
| res:W877 | res:W965 |
| res:W263 | res:W279 |
| res:W407 | res:W1027 |
| res:W42 | res:W31 |
| res:W556 | res:W1038 |
| res:W612 | res:W869 |
| res:W522 | res:W312 |
| res:W728 | res:W665 |
| res:W524 | res:W807 |
| res:W730 | res:W303 |
| res:W545 | res:W742 |
| res:W322 | res:W453 |
| res:W02 | res:W03 |

Query 11:

| t | tot | win |
|---|---|---|
| res:W30 | 18 | 0 |
| res:W31 | 13 | 0 |

Query 12 failed: What do I do with this CompValue? GroupGraphPatternSub_GroupGraphPatternSub_{'part': [TriplesBlock_{'triples': [[rdflib.term.URIRef('https://example.org/research/W03'), PathAlternative_{'part': [PathSequence_{'part': [PathElt_{'part': rdflib.term.URIRef('https://example.org/research/hasPerson'), '_v

Query 13:

| w | hop |
|---|---|
| res:W657 | 1 |
| res:W895 | 1 |
| res:W229 | 1 |
| res:W602 | 1 |
| res:W41 | 1 |
| res:W660 | 1 |
| res:W40 | 1 |
| res:W682 | 2 |
| res:W1042 | 2 |
| res:W338 | 2 |
| res:W52 | 2 |
| res:W51 | 2 |
| res:W895 | 2 |
| res:W337 | 2 |
| res:W546 | 2 |
| res:W801 | 2 |
| res:W50 | 2 |
| res:W51 | 2 |
| res:W396 | 2 |
| res:W546 | 2 |
| res:W895 | 2 |
| res:W338 | 2 |

Query 14:

| i | n |
|---|---|
| res:I12 | 12 |
| res:I01 | 5 |
| res:I09 | 4 |
| res:I11 | 4 |
| res:I02 | 3 |
| res:I14 | 3 |
| res:I19 | 2 |
| res:I05 | 2 |
| res:I13 | 2 |
| res:I22 | 2 |
| res:I20 | 1 |
| res:I23 | 1 |
| res:I03 | 1 |
| res:I04 | 1 |

Query 15:

| w | n |
|---|---|
| res:W20 | 13 |
| res:W473 | 2 |
| res:W450 | 2 |
| res:W855 | 2 |
| res:W341 | 2 |

Query 16:

| n | nw |
|---|---|
| 19 | 6 |

Run more queries, or give the final answers.

The model

```sparql
PREFIX res: <https://example.org/research/>
SELECT (COUNT(DISTINCT ?x) AS ?n) WHERE { ?x res:cites res:W03 }
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?t (COUNT(DISTINCT ?x) AS ?tot) (COUNT(DISTINCT ?xi) AS ?win) WHERE {
  ?x res:cites ?t . ?t res:year ?ty . ?x res:year ?xy .
  FILTER(?t IN (res:W30,res:W31))
  BIND(IF(xsd:integer(?xy) >= xsd:integer(?ty) && xsd:integer(?xy) <= xsd:integer(?ty)+2, ?x, ?unb) AS ?xi)
} GROUP BY ?t
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT (SUM(?n) AS ?total) WHERE {
  SELECT ?w (COUNT(DISTINCT ?x) AS ?n) WHERE {
    ?w a res:ResearchWork; res:hasPerson ?q . res:A09 res:samePersonAs ?q .
    ?x res:cites ?w .
  } GROUP BY ?w
}
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?x
 (COUNT(DISTINCT ?p) AS ?pa) (COUNT(DISTINCT ?q) AS ?q1)
 (COUNT(DISTINCT ?ia) AS ?i02) (COUNT(DISTINCT ?ib) AS ?i01) (COUNT(DISTINCT ?ic) AS ?gb)
WHERE {
  ?x res:cites res:W03 .
  OPTIONAL { res:W03 res:hasPerson ?p . ?x res:hasPerson ?p2 . FILTER(?p = ?p2) BIND(?p AS ?q) }
  OPTIONAL { ?x res:creditedInstitution ?ia . FILTER(?ia = res:I02) }
  OPTIONAL { ?x res:creditedInstitution ?ib . FILTER(?ib = res:I01) }
  OPTIONAL { ?x res:creditedCountry ?ic . FILTER(?ic = "GB") }
} GROUP BY ?x
```

Query results

Query 1:

| n |
|---|
| 27 |

Query 2:

| t | tot | win |
|---|---|---|
| res:W31 | 11 | 0 |
| res:W30 | 16 | 0 |

Query 3:

| total |
|---|
| 0 |

Query 4:

| x | pa | q1 | i02 | i01 | gb |
|---|---|---|---|---|---|
| res:W1056 | 0 | 0 | 0 | 0 | 0 |
| res:W13 | 1 | 1 | 1 | 1 | 1 |
| res:W14 | 0 | 0 | 0 | 1 | 1 |
| res:W16 | 0 | 0 | 0 | 0 | 0 |
| res:W17 | 0 | 0 | 0 | 0 | 0 |
| res:W18 | 0 | 0 | 0 | 0 | 0 |
| res:W748 | 0 | 0 | 0 | 1 | 1 |
| res:W812 | 0 | 0 | 0 | 0 | 1 |
| res:W12 | 1 | 1 | 1 | 1 | 1 |
| res:W15 | 0 | 0 | 0 | 0 | 1 |
| res:W558 | 0 | 0 | 0 | 0 | 0 |
| res:W598 | 1 | 1 | 1 | 1 | 1 |
| res:W711 | 0 | 0 | 0 | 0 | 0 |
| res:W315 | 0 | 0 | 1 | 1 | 1 |
| res:W676 | 1 | 1 | 1 | 1 | 1 |
| res:W833 | 1 | 1 | 1 | 1 | 1 |
| res:W931 | 0 | 0 | 1 | 1 | 1 |
| res:W273 | 0 | 0 | 1 | 1 | 1 |
| res:W535 | 0 | 0 | 0 | 0 | 1 |
| res:W761 | 0 | 0 | 0 | 0 | 1 |
| res:W889 | 0 | 0 | 0 | 0 | 1 |
| res:W890 | 0 | 0 | 0 | 0 | 0 |
| res:W1048 | 1 | 1 | 1 | 1 | 1 |
| res:W214 | 0 | 0 | 0 | 0 | 1 |
| res:W544 | 0 | 0 | 0 | 1 | 1 |
| res:W843 | 1 | 1 | 1 | 1 | 1 |
| res:W349 | 0 | 0 | 0 | 1 | 1 |

Run more queries, or give the final answers.

The model

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?au (COUNT(DISTINCT ?w) AS ?n) WHERE {
  ?w a res:ResearchWork; res:creditedInstitution res:I02; res:hasPerson ?au .
} GROUP BY ?au ORDER BY DESC(?n) LIMIT 5
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?t ?x ?xy ?ty WHERE {
  ?x res:cites ?t . ?t res:year ?ty . ?x res:year ?xy .
  FILTER(?t IN (res:W30,res:W31))
} ORDER BY ?t ?xy
```

Query results

Query 1:

| au | n |
|---|---|
| res:A01 | 19 |
| res:A07 | 15 |
| res:A110 | 14 |
| res:A118 | 14 |
| res:A125 | 10 |

Query 2:

| t | x | xy | ty |
|---|---|---|---|
| res:W30 | res:W60 | 2020 | 2019 |
| res:W30 | res:W988 | 2021 | 2019 |
| res:W30 | res:W289 | 2022 | 2019 |
| res:W30 | res:W439 | 2022 | 2019 |
| res:W30 | res:W276 | 2022 | 2019 |
| res:W30 | res:W61 | 2022 | 2019 |
| res:W30 | res:W62 | 2023 | 2019 |
| res:W30 | res:W246 | 2023 | 2019 |
| res:W30 | res:W334 | 2023 | 2019 |
| res:W30 | res:W274 | 2024 | 2019 |
| res:W30 | res:W63 | 2024 | 2019 |
| res:W30 | res:W856 | 2024 | 2019 |
| res:W30 | res:W894 | 2024 | 2019 |
| res:W30 | res:W64 | 2025 | 2019 |
| res:W30 | res:W992 | 2025 | 2019 |
| res:W30 | res:W1033 | 2025 | 2019 |
| res:W31 | res:W67 | 2023 | 2023 |
| res:W31 | res:W1039 | 2023 | 2023 |
| res:W31 | res:W62 | 2023 | 2023 |
| res:W31 | res:W757 | 2023 | 2023 |
| res:W31 | res:W851 | 2023 | 2023 |
| res:W31 | res:W650 | 2024 | 2023 |
| res:W31 | res:W65 | 2024 | 2023 |
| res:W31 | res:W249 | 2025 | 2023 |
| res:W31 | res:W66 | 2025 | 2023 |
| res:W31 | res:W318 | 2025 | 2023 |
| res:W31 | res:W794 | 2025 | 2023 |

Run more queries, or give the final answers.

The model

**Q1.** 1. A01, A02, A03 and the linked A101 share ORCID 0000-0002-9841-6229 and are linked by samePersonAs.
**Q2.** 32 works, listed in the JSON, taken across all of Mara's linked author records.
**Q3.** No. Jonas Brandt on W37 is A05 and on W38 is A06, and their ORCIDs differ.
**Q4.** 9. A05 and its linked record A104 have 10 works, 9 of them research works.
**Q5.** No. The M. Ellison on W08 is A04 (ORCID 0000-0004-8662-8360), not A01.
**Q6.** A01, with 19 research works credited to I02.
**Q7.** 19.
**Q8.** I01.
**Q9.** 95.
**Q10.** 140.
**Q11.** 59.
**Q12.** Full 13, fractional 11.
**Q13.** Under full counting Rostval (I09) has more, 16 against 13. Under fractional counting Kesting (I07) has more, 11 against 4.
**Q14.** Full 46, fractional 42.
**Q15.** 25.
**Q16.** 88, summing the S01 counts across 2019–2025.
**Q17.** W04, W271 and W936 (editorials) and W05, W813 and W949 (errata). W07 is excluded for its source, not its type.
**Q18.** 15.
**Q19.** 27.
**Q20.** 23 preprints have a published version in the data, listed in the JSON.
**Q21.** 45.
**Q22.** W30 has more citations in total (16 against 11). W31 has more within its publication year and the two years after (11 against 2).
**Q23.** Total 16, in window 2. The citing works are W60 (2020) and W988 (2021).
**Q24.** 12.
**Q25.** 19, using the citation links of the research works of A09 and its linked A103.
**Q26.** No. W23 is retracted and is not a research work.
**Q27.** I12, with 12 citing works.
**Q28.** 4.
**Q29.** Author 7, institution 10, country 20.
**Q30.** 14.
**Q31.** W682, W1042, W338, W52, W51, W895, W337, W546, W801, W50 and W396, from the two-hop citation query.
**Q32.** 17: 7 direct citers plus 10 further works at two hops.
**Q33.** W20, with 13 citations.
**Q34.** 7.
**Q35.** 25.
**Q36.** 36.
**Q37.** I06. W70 lists only I06 as credited institution.
**Q38.** I01, I02, I03 and I04.
**Q39.** 19, all in tier K3.
**Q40.** S01, which is tier K3.
**Q41.** No. S03 is K1 and S02 is K2, so S02 is higher.
**Q42.** 0. S04 is K0 (delisted), so its works are not research output.
**Q43.** No. W07 appeared in S04, a K0 source.
**Q44.** I02, I03, I04, I05, I19 and I20. The affiliated institutes I06 and I21 are not part of the system.
**Q45.** 16.
**Q46.** I06. It is an affiliated institute, so its ultimate parent is itself.
**Q47.** Not answered; I did not run a query on this. Full counting credits a work in full to every institution on it, while fractional counting splits each work among its authors, so the order can change.
**Q48.** Not answered; I did not run a query on this. W70 is credited only to I06, an affiliated institute, and the data defines such an institute's works as never credited to its parent.

```json
{"Q1":{"count":1},
"Q2":{"works":["W01","W02","W03","W04","W05","W06","W07","W1005","W1048","W1050","W12","W19","W206","W238","W271","W374","W449","W464","W555","W612","W663","W676","W763","W813","W817","W843","W869","W905","W936","W949","W972","W984"]},
"Q3":{"same":"no"},
"Q4":{"count":9},
"Q5":{"same":"no"},
"Q6":{"author":"A01"},
"Q7":{"count":19},
"Q8":{"parent":"I01"},
"Q9":{"count":95},
"Q10":{"count":140},
"Q11":{"count":59},
"Q12":{"full":13,"fractional":11},
"Q13":{"full":"I09","fractional":"I07"},
"Q14":{"full":46,"fractional":42},
"Q15":{"count":25},
"Q16":{"count":88},
"Q17":{"works":["W04","W05","W271","W813","W936","W949"]},
"Q18":{"count":15},
"Q19":{"count":27},
"Q20":{"works":["W226","W1049","W432","W210","W416","W506","W611","W219","W460","W663","W877","W263","W407","W42","W556","W612","W522","W728","W524","W730","W545","W322","W02"]},
"Q21":{"count":45},
"Q22":{"more_in_total":"W30","more_in_window":"W31"},
"Q23":{"total":16,"in_window":2},
"Q24":{"count":12},
"Q25":{"count":19},
"Q26":{"counts":"no"},
"Q27":{"institution":"I12","citing_works":12},
"Q28":{"count":4},
"Q29":{"author":7,"institution":10,"country":20},
"Q30":{"count":14},
"Q31":{"works":["W682","W1042","W338","W52","W51","W895","W337","W546","W801","W50","W396"]},
"Q32":{"count":17},
"Q33":{"work":"W20"},
"Q34":{"count":7},
"Q35":{"count":25},
"Q36":{"count":36},
"Q37":{"institution":"I06"},
"Q38":{"institutions":["I01","I02","I03","I04"]},
"Q39":{"count":19},
"Q40":{"source":"S01"},
"Q41":{"higher":"no"},
"Q42":{"count":0},
"Q43":{"research":"no"},
"Q44":{"institutions":["I02","I03","I04","I05","I19","I20"]},
"Q45":{"count":16},
"Q46":{"parent":"I06"}}
```