D4 sparql, run 4: the query session

← back to the run

31 queries1 failed8 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: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:Institution`: `rdf:type`, `rdfs:label`, `res:country`, `res:institutionType`, `res:name`, `res:parent`, `res:ror`
- `res:Source`: `rdf:type`, `rdfs:label`, `res:issn`, `res:name`, `res:sourceType`, `res:tier`
- `res:Work`: `rdf:type`, `rdfs:label`, `res:doi`, `res:recordSource`, `res:retracted`, `res:source`, `res:title`, `res:versionOf`, `res:workType`, `res:year`

## 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 
<invoke>
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(REGEX(STR(?s), "/(A|I|S)[0-9]+$")) } ORDER BY ?s ?p
```
</invoke>
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE { ?s a res:Work ; ?p ?o . FILTER(?p != res:title) } ORDER BY ?s ?p
```
</invoke>
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: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: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: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: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: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: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:A102 | rdf:type | res:Author |
| res:A102 | rdfs:label | M. Ellison |
| res:A102 | res:name | M. Ellison |
| res:A102 | res:orcid | 0000-0008-4738-8328 |
| res:A103 | rdf:type | res:Author |
| res:A103 | rdfs:label | L. Vossberg |
| res:A103 | res:name | L. Vossberg |
| res:A103 | res:orcid | 0000-0000-8073-7028 |
| res:A104 | rdf:type | res:Author |
| res:A104 | rdfs:label | J. Brandt |
| res:A104 | res:name | J. Brandt |
| res:A104 | res:orcid | 0000-0001-6105-5008 |
| res:A105 | rdf:type | res:Author |
| res:A105 | rdfs:label | Jonas Brandt |
| res:A105 | res:name | Jonas Brandt |
| res:A105 | res:orcid | 0000-0004-9046-7961 |
(874 more rows not shown)

Query 2:

| s | p | o |
|---|---|---|
| res:W01 | rdf:type | res:Work |
| res:W01 | rdfs:label | Adaptive path planning for underwater gliders |
| res:W01 | res:doi | 10.55555/s01.2021.1465 |
| res:W01 | res:recordSource | res:origin-FEED |
| res:W01 | res:retracted | false |
| res:W01 | res:source | res:S01 |
| 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: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:versionOf | res:W03 |
| res:W02 | res:workType | res:wtype-PPR |
| res:W02 | res:year | 2022 |
| res:W03 | rdf:type | res:Work |
| res:W03 | rdfs:label | Drift-aware mapping with low-cost sonar |
| res:W03 | res:doi | 10.55555/s02.2023.9437 |
| res:W03 | res:recordSource | res:origin-FEED |
| res:W03 | res:retracted | false |
| res:W03 | res:source | res:S02 |
| 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:doi | 10.55555/s01.2023.1032 |
| res:W04 | res:recordSource | res:origin-FEED |
| res:W04 | res:retracted | false |
| res:W04 | res:source | res:S01 |
| res:W04 | res:workType | res:wtype-EDT |
| res:W04 | res:year | 2023 |
| res:W05 | rdf:type | res:Work |
| res:W05 | rdfs:label | Erratum: Drift-aware mapping with low-cost sonar |
| res:W05 | res:doi | 10.55555/s02.2024.7136 |
| res:W05 | res:recordSource | res:origin-FEED |
| res:W05 | res:retracted | false |
| res:W05 | res:source | res:S02 |
| res:W05 | res:workType | res:wtype-ERR |
| res:W05 | res:year | 2024 |
| res:W06 | rdf:type | res:Work |
| res:W06 | rdfs:label | Shoreline change detection from glider transects |
| res:W06 | res:doi | 10.55555/s03.2024.2042 |
| res:W06 | res:recordSource | res:origin-FEED |
| res:W06 | res:retracted | false |
| res:W06 | res:source | res:S03 |
| res:W06 | res:workType | res:wtype-ART |
| res:W06 | res:year | 2024 |
| res:W07 | rdf:type | res:Work |
| res:W07 | rdfs:label | Low-cost sonar arrays for coastal monitoring |
| res:W07 | res:doi | 10.55555/s04.2020.7029 |
| res:W07 | res:recordSource | res:origin-FEED |
| res:W07 | res:retracted | false |
| res:W07 | res:source | res:S04 |
| res:W07 | res:workType | res:wtype-ART |
| res:W07 | res:year | 2020 |
| res:W08 | rdf:type | res:Work |
| res:W08 | rdfs:label | Turbulent wake modelling behind tidal turbines |
| res:W08 | res:doi | 10.55555/s01.2025.5958 |
(6763 more rows not shown)

Run more queries, or give the final answers.
The model 
<invoke>
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE { ?s a ?c . FILTER(?c IN (res:Institution, res:Source)) ?s ?p ?o . FILTER(?p != rdf:type) } ORDER BY ?s ?p
```
</invoke>
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(!STRSTARTS(STR(?s), "https://example.org/research/W") && !STRSTARTS(STR(?s), "https://example.org/research/A") && !STRSTARTS(STR(?s), "https://example.org/research/I") && !STRSTARTS(STR(?s), "https://example.org/research/S") && !STRSTARTS(STR(?s), "https://example.org/research/C") && !STRSTARTS(STR(?s), "https://example.org/research/AS")) } ORDER BY ?s ?p
```
</invoke>
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?t (COUNT(*) AS ?n) WHERE { ?s a ?t } GROUP BY ?t
```
</invoke>
Query results 
Query 1:

| s | p | o |
|---|---|---|
| res:I01 | rdfs:label | Albury University System |
| res:I01 | res:country | GB |
| res:I01 | res:institutionType | res:itype-SYS |
| res:I01 | res:name | Albury University System |
| res:I01 | res:ror | 0hygr4985 |
| res:I02 | rdfs:label | University of Albury |
| res:I02 | res:country | GB |
| res:I02 | res:institutionType | res:itype-UNI |
| res:I02 | res:name | University of Albury |
| res:I02 | res:parent | res:I01 |
| res:I02 | res:ror | 06safhw22 |
| res:I03 | rdfs:label | Albury Centre for Marine Robotics |
| res:I03 | res:country | GB |
| res:I03 | res:institutionType | res:itype-LAB |
| res:I03 | res:name | Albury Centre for Marine Robotics |
| res:I03 | res:parent | res:I02 |
| res:I03 | res:ror | 06a9yq342 |
| res:I04 | rdfs:label | Tessel Laboratory for Ocean Sensing |
| res:I04 | res:country | GB |
| res:I04 | res:institutionType | res:itype-LAB |
| res:I04 | res:name | Tessel Laboratory for Ocean Sensing |
| res:I04 | res:parent | res:I03 |
| res:I04 | res:ror | 0002ezf81 |
| res:I05 | rdfs:label | Albury Metropolitan University |
| res:I05 | res:country | GB |
| res:I05 | res:institutionType | res:itype-UNI |
| res:I05 | res:name | Albury Metropolitan University |
| res:I05 | res:parent | res:I01 |
| res:I05 | res:ror | 0ww7kxb57 |
| res:I06 | rdfs:label | Halloran Institute for Coastal Studies |
| res:I06 | res:country | GB |
| res:I06 | res:institutionType | res:itype-AFF |
| res:I06 | res:name | Halloran Institute for Coastal Studies |
| res:I06 | res:parent | res:I02 |
| res:I06 | res:ror | 0175f3924 |
| res:I07 | rdfs:label | Kesting University |
| res:I07 | res:country | DE |
| res:I07 | res:institutionType | res:itype-UNI |
| res:I07 | res:name | Kesting University |
| res:I07 | res:ror | 0593t4875 |
| res:I08 | rdfs:label | Kesting Institute of Hydrodynamics |
| res:I08 | res:country | DE |
| res:I08 | res:institutionType | res:itype-LAB |
| res:I08 | res:name | Kesting Institute of Hydrodynamics |
| res:I08 | res:parent | res:I07 |
| res:I08 | res:ror | 0brjdg570 |
| res:I09 | rdfs:label | Rostval Technical University |
| res:I09 | res:country | NL |
| res:I09 | res:institutionType | res:itype-UNI |
| res:I09 | res:name | Rostval Technical University |
| res:I09 | res:ror | 0k8rh7879 |
| res:I10 | rdfs:label | Marrow Instruments BV |
| res:I10 | res:country | NL |
| res:I10 | res:institutionType | res:itype-CO |
| res:I10 | res:name | Marrow Instruments BV |
| res:I10 | res:ror | 0t3x83535 |
| res:I11 | rdfs:label | Brevin Ocean Agency |
| res:I11 | res:country | FR |
| res:I11 | res:institutionType | res:itype-GOV |
| res:I11 | res:name | Brevin Ocean Agency |
(172 more rows not shown)

Query 2:

(no rows)

Query 3:

| t | n |
|---|---|
| res:Authorship | 1532 |
| res:Citation | 1067 |
| res:Work | 850 |
| res:Author | 167 |
| res:Institution | 31 |
| res:Source | 14 |

Run more queries, or give the final answers.
The model 
<parameter name="sql">
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(REGEX(STR(?s), "/(I1[1-9]|I[2-9][0-9]|S[0-9]+)$")) FILTER(?p != rdf:type && ?p != res:ror && ?p != rdfs:label) } ORDER BY ?s ?p
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(REGEX(STR(?s), "(wtype|itype|tier|origin|stype|stype)")) } ORDER BY ?s ?p
```
</parameter>
Query results 
Query 1:

| s | p | o |
|---|---|---|
| res:I11 | res:country | FR |
| res:I11 | res:institutionType | res:itype-GOV |
| res:I11 | res:name | Brevin Ocean Agency |
| res:I12 | res:country | FR |
| res:I12 | res:institutionType | res:itype-UNI |
| res:I12 | res:name | Université de Lorvain |
| res:I13 | res:country | GB |
| res:I13 | res:institutionType | res:itype-UNI |
| res:I13 | res:name | Dunmore College |
| res:I14 | res:country | NL |
| res:I14 | res:institutionType | res:itype-UNI |
| res:I14 | res:name | Oskel Polytechnic |
| res:I15 | res:country | US |
| res:I15 | res:institutionType | res:itype-UNI |
| res:I15 | res:name | Carrow State University |
| res:I16 | res:country | JP |
| res:I16 | res:institutionType | res:itype-UNI |
| res:I16 | res:name | Hoshimine Institute of Technology |
| res:I17 | res:country | CA |
| res:I17 | res:institutionType | res:itype-UNI |
| res:I17 | res:name | Université de Mallois |
| res:I18 | res:country | ES |
| res:I18 | res:institutionType | res:itype-UNI |
| res:I18 | res:name | Universidad de Ventolera |
| res:I19 | res:country | GB |
| res:I19 | res:institutionType | res:itype-LAB |
| res:I19 | res:name | Albury Laboratory for Acoustic Imaging |
| res:I19 | res:parent | res:I02 |
| res:I20 | res:country | GB |
| res:I20 | res:institutionType | res:itype-LAB |
| res:I20 | res:name | Albury Metropolitan Centre for Port Studies |
| res:I20 | res:parent | res:I05 |
| res:I21 | res:country | GB |
| res:I21 | res:institutionType | res:itype-AFF |
| res:I21 | res:name | Wexcombe Institute for Estuary Research |
| res:I21 | res:parent | res:I05 |
| res:I22 | res:country | DE |
| res:I22 | res:institutionType | res:itype-AFF |
| res:I22 | res:name | Sandhaven Institute for Wave Research |
| res:I22 | res:parent | res:I07 |
| res:I23 | res:country | NL |
| res:I23 | res:institutionType | res:itype-LAB |
| res:I23 | res:name | Rostval Laboratory for Offshore Structures |
| res:I23 | res:parent | res:I09 |
| res:I24 | res:country | US |
| res:I24 | res:institutionType | res:itype-UNI |
| res:I24 | res:name | Pellmore University |
| res:I25 | res:country | IT |
| res:I25 | res:institutionType | res:itype-UNI |
| res:I25 | res:name | Università di Calvessa |
| res:I26 | res:country | PL |
| res:I26 | res:institutionType | res:itype-UNI |
| res:I26 | res:name | Tarnowa University of Technology |
| res:I27 | res:country | AU |
| res:I27 | res:institutionType | res:itype-UNI |
| res:I27 | res:name | Kirrabay University |
| res:I28 | res:country | NO |
| res:I28 | res:institutionType | res:itype-UNI |
| res:I28 | res:name | Nordvik University |
| res:I29 | res:country | KR |
(60 more rows not shown)

Query 2:

(no rows)

Run more queries, or give the final answers.
The model 
<invoke>
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE { ?s a res:Source ; ?p ?o . FILTER(?p != rdf:type) } ORDER BY ?s ?p
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(!REGEX(STR(?s), "example.org/research/(W|A|I|S|C)[A-Za-z]*[0-9]+$")) } ORDER BY ?s ?p LIMIT 200
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?wt ?rs ?r (COUNT(*) AS ?n) WHERE { ?w a res:Work ; res:workType ?wt ; res:recordSource ?rs ; res:retracted ?r } GROUP BY ?wt ?rs ?r
```
</br>
Query results 
Query 1:

| s | p | o |
|---|---|---|
| res:S01 | rdfs:label | Journal of Marine Autonomy |
| res:S01 | res:issn | 9866-3925 |
| res:S01 | res:name | Journal of Marine Autonomy |
| res:S01 | res:sourceType | res:stype-JOU |
| res:S01 | res:tier | res:tier-K3 |
| res:S02 | rdfs:label | Ocean Sensing Letters |
| res:S02 | res:issn | 3195-4973 |
| res:S02 | res:name | Ocean Sensing Letters |
| res:S02 | res:sourceType | res:stype-JOU |
| res:S02 | res:tier | res:tier-K2 |
| res:S03 | rdfs:label | Coastal Engineering Review |
| res:S03 | res:issn | 1154-9679 |
| res:S03 | res:name | Coastal Engineering Review |
| res:S03 | res:sourceType | res:stype-JOU |
| res:S03 | res:tier | res:tier-K1 |
| res:S04 | rdfs:label | Global Marine Science Reports |
| res:S04 | res:issn | 8864-5325 |
| res:S04 | res:name | Global Marine Science Reports |
| res:S04 | res:sourceType | res:stype-JOU |
| res:S04 | res:tier | res:tier-K0 |
| res:S05 | rdfs:label | OceanArXiv |
| res:S05 | res:name | OceanArXiv |
| res:S05 | res:sourceType | res:stype-REP |
| res:S06 | rdfs:label | Proceedings of the Hydrodynamics Forum |
| res:S06 | res:issn | 9804-2748 |
| res:S06 | res:name | Proceedings of the Hydrodynamics Forum |
| res:S06 | res:sourceType | res:stype-JOU |
| res:S06 | res:tier | res:tier-K2 |
| res:S07 | rdfs:label | Journal of Estuarine Dynamics |
| res:S07 | res:issn | 1483-2835 |
| res:S07 | res:name | Journal of Estuarine Dynamics |
| res:S07 | res:sourceType | res:stype-JOU |
| res:S07 | res:tier | res:tier-K2 |
| res:S08 | rdfs:label | Hydrology Notes |
| res:S08 | res:issn | 9832-2482 |
| res:S08 | res:name | Hydrology Notes |
| res:S08 | res:sourceType | res:stype-JOU |
| res:S08 | res:tier | res:tier-K1 |
| res:S09 | rdfs:label | Journal of Coastal Hydraulics |
| res:S09 | res:issn | 3431-7424 |
| res:S09 | res:name | Journal of Coastal Hydraulics |
| res:S09 | res:sourceType | res:stype-JOU |
| res:S09 | res:tier | res:tier-K2 |
| res:S10 | rdfs:label | Marine Technology Bulletin |
| res:S10 | res:issn | 7809-8515 |
| res:S10 | res:name | Marine Technology Bulletin |
| res:S10 | res:sourceType | res:stype-JOU |
| res:S10 | res:tier | res:tier-K1 |
| res:S11 | rdfs:label | Annals of Ocean Observation |
| res:S11 | res:issn | 8324-8964 |
| res:S11 | res:name | Annals of Ocean Observation |
| res:S11 | res:sourceType | res:stype-JOU |
| res:S11 | res:tier | res:tier-K2 |
| res:S12 | rdfs:label | Shelf Sea Letters |
| res:S12 | res:issn | 8103-2767 |
| res:S12 | res:name | Shelf Sea Letters |
| res:S12 | res:sourceType | res:stype-JOU |
| res:S12 | res:tier | res:tier-K1 |
| res:S13 | rdfs:label | International Journal of Ocean Frontiers |
| res:S13 | res:issn | 1765-9671 |
(6 more rows not shown)

Query 2:

| s | p | o |
|---|---|---|
| res:AS-W01-A01-1 | rdf:type | res:Authorship |
| res:AS-W01-A01-1 | rdfs:label | W01 A01 I02 |
| res:AS-W01-A01-1 | res:affiliationSeq | 1 |
| res:AS-W01-A01-1 | res:author | res:A01 |
| res:AS-W01-A01-1 | res:authorPosition | 1 |
| res:AS-W01-A01-1 | res:institution | res:I02 |
| res:AS-W01-A01-1 | res:work | res:W01 |
| res:AS-W01-A07-1 | rdf:type | res:Authorship |
| res:AS-W01-A07-1 | rdfs:label | W01 A07 I03 |
| res:AS-W01-A07-1 | res:affiliationSeq | 1 |
| res:AS-W01-A07-1 | res:author | res:A07 |
| res:AS-W01-A07-1 | res:authorPosition | 2 |
| res:AS-W01-A07-1 | res:institution | res:I03 |
| res:AS-W01-A07-1 | res:work | res:W01 |
| res:AS-W02-A02-1 | rdf:type | res:Authorship |
| res:AS-W02-A02-1 | rdfs:label | W02 A02 I02 |
| res:AS-W02-A02-1 | res:affiliationSeq | 1 |
| res:AS-W02-A02-1 | res:author | res:A02 |
| res:AS-W02-A02-1 | res:authorPosition | 1 |
| res:AS-W02-A02-1 | res:institution | res:I02 |
| res:AS-W02-A02-1 | res:work | res:W02 |
| res:AS-W02-A07-1 | rdf:type | res:Authorship |
| res:AS-W02-A07-1 | rdfs:label | W02 A07 I03 |
| res:AS-W02-A07-1 | res:affiliationSeq | 1 |
| res:AS-W02-A07-1 | res:author | res:A07 |
| res:AS-W02-A07-1 | res:authorPosition | 2 |
| res:AS-W02-A07-1 | res:institution | res:I03 |
| res:AS-W02-A07-1 | res:work | res:W02 |
| res:AS-W03-A03-1 | rdf:type | res:Authorship |
| res:AS-W03-A03-1 | rdfs:label | W03 A03 I02 |
| res:AS-W03-A03-1 | res:affiliationSeq | 1 |
| res:AS-W03-A03-1 | res:author | res:A03 |
| res:AS-W03-A03-1 | res:authorPosition | 1 |
| res:AS-W03-A03-1 | res:institution | res:I02 |
| res:AS-W03-A03-1 | res:work | res:W03 |
| res:AS-W03-A07-1 | rdf:type | res:Authorship |
| res:AS-W03-A07-1 | rdfs:label | W03 A07 I03 |
| res:AS-W03-A07-1 | res:affiliationSeq | 1 |
| res:AS-W03-A07-1 | res:author | res:A07 |
| res:AS-W03-A07-1 | res:authorPosition | 2 |
| res:AS-W03-A07-1 | res:institution | res:I03 |
| res:AS-W03-A07-1 | res:work | res:W03 |
| res:AS-W04-A01-1 | rdf:type | res:Authorship |
| res:AS-W04-A01-1 | rdfs:label | W04 A01 I02 |
| res:AS-W04-A01-1 | res:affiliationSeq | 1 |
| res:AS-W04-A01-1 | res:author | res:A01 |
| res:AS-W04-A01-1 | res:authorPosition | 1 |
| res:AS-W04-A01-1 | res:institution | res:I02 |
| res:AS-W04-A01-1 | res:work | res:W04 |
| res:AS-W05-A01-1 | rdf:type | res:Authorship |
| res:AS-W05-A01-1 | rdfs:label | W05 A01 I02 |
| res:AS-W05-A01-1 | res:affiliationSeq | 1 |
| res:AS-W05-A01-1 | res:author | res:A01 |
| res:AS-W05-A01-1 | res:authorPosition | 1 |
| res:AS-W05-A01-1 | res:institution | res:I02 |
| res:AS-W05-A01-1 | res:work | res:W05 |
| res:AS-W05-A07-1 | rdf:type | res:Authorship |
| res:AS-W05-A07-1 | rdfs:label | W05 A07 I03 |
| res:AS-W05-A07-1 | res:affiliationSeq | 1 |
| res:AS-W05-A07-1 | res:author | res:A07 |
(140 more rows not shown)

Query 3:

| wt | rs | r | n |
|---|---|---|---|
| res:wtype-PTX | res:origin-FEED | false | 12 |
| res:wtype-EDT | res:origin-FEED | false | 33 |
| res:wtype-ART | res:origin-FEED | false | 637 |
| res:wtype-ART | res:origin-CRIS | false | 3 |
| res:wtype-PPR | res:origin-FEED | false | 34 |
| res:wtype-SUP | res:origin-FEED | false | 12 |
| res:wtype-REV | res:origin-FEED | false | 73 |
| res:wtype-ERR | res:origin-FEED | false | 8 |
| res:wtype-ART | res:origin-FEED | true | 13 |
| res:wtype-SUP | res:origin-STG | false | 6 |
| res:wtype-ART | res:origin-STG | false | 16 |
| res:wtype-REV | res:origin-STG | false | 3 |

Run more queries, or give the final answers.
The model 
<invoke>
<parameter name="query">PREFIX res: <https://example.org/research/>
SELECT ?p (COUNT(*) AS ?n) WHERE { ?s ?p ?o } GROUP BY ?p</parameter>
</invoke>
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?w ?l ?wt ?rs ?y ?src ?v WHERE { ?w a res:Work ; rdfs:label ?l ; res:workType ?wt ; res:recordSource ?rs ; res:year ?y . OPTIONAL{?w res:source ?src} OPTIONAL{?w res:versionOf ?v} FILTER(?rs != res:origin-FEED || ?wt IN (res:wtype-PPR, res:wtype-PTX, res:wtype-SUP)) } ORDER BY ?w LIMIT 150
```
Query results 
Query 1:

| w | l | wt | rs | y | src | v |
|---|---|---|---|---|---|---|
| res:W02 | Drift-aware mapping with low-cost sonar | res:wtype-PPR | res:origin-FEED | 2022 | res:S05 | res:W03 |
| res:W09 | Issue information | res:wtype-PTX | res:origin-FEED | 2023 | res:S01 |  |
| res:W10 | Front matter | res:wtype-PTX | res:origin-FEED | 2024 | res:S02 |  |
| res:W1002 | A framework for dune erosion | res:wtype-SUP | res:origin-FEED | 2021 | res:S06 |  |
| res:W1049 | Field measurements of tidal mixing | res:wtype-PPR | res:origin-FEED | 2021 | res:S14 | res:W789 |
| res:W1054 | A framework for sonar imaging in the Brevin shelf | res:wtype-PPR | res:origin-FEED | 2021 | res:S05 |  |
| res:W12 | Sonar mosaics from glider fleets | res:wtype-ART | res:origin-CRIS | 2024 | res:S02 |  |
| res:W17 | Acoustic positioning near the shore | res:wtype-SUP | res:origin-FEED | 2024 | res:S06 |  |
| res:W18 | Comparing sonar odometry methods | res:wtype-PPR | res:origin-FEED | 2022 | res:S05 |  |
| res:W19 | Glider-borne turbidity sensing | res:wtype-ART | res:origin-CRIS | 2025 | res:S02 |  |
| res:W202 | Issue information | res:wtype-PTX | res:origin-FEED | 2023 | res:S02 |  |
| res:W210 | Low-cost methods for estuarine salinity | res:wtype-PPR | res:origin-FEED | 2021 | res:S14 | res:W902 |
| res:W212 | Issue information | res:wtype-PTX | res:origin-FEED | 2019 | res:S03 |  |
| res:W219 | Remote sensing of sensor calibration | res:wtype-PPR | res:origin-FEED | 2022 | res:S05 | res:W251 |
| res:W221 | A model of marsh accretion in mixed-energy coasts | res:wtype-PPR | res:origin-FEED | 2023 | res:S14 |  |
| res:W226 | Uncertainty in estuarine plumes estimates | res:wtype-PPR | res:origin-FEED | 2023 | res:S05 | res:W710 |
| res:W24 | Vortex shedding in shallow channels | res:wtype-SUP | res:origin-FEED | 2025 | res:S06 |  |
| res:W240 | Issue information | res:wtype-PTX | res:origin-FEED | 2025 | res:S01 |  |
| res:W263 | Low-cost methods for storm surge in shallow channels | res:wtype-PPR | res:origin-FEED | 2019 | res:S05 | res:W279 |
| res:W268 | Remote sensing of turbulent wakes in a laboratory flume | res:wtype-ART | res:origin-STG | 2025 | res:S02 |  |
| res:W286 | Front matter | res:wtype-PTX | res:origin-FEED | 2022 | res:S03 |  |
| res:W306 | Seasonal variability in sediment flux in the Brevin shelf | res:wtype-PPR | res:origin-FEED | 2023 | res:S14 |  |
| res:W322 | A framework for fleet coordination | res:wtype-PPR | res:origin-FEED | 2019 | res:S14 | res:W453 |
| res:W329 | Field measurements of channel hydraulics in mixed-energy coasts | res:wtype-ART | res:origin-STG | 2025 | res:S01 |  |
| res:W336 | Uncertainty in river plumes estimates in a semi-enclosed sea | res:wtype-PPR | res:origin-FEED | 2021 | res:S14 |  |
| res:W372 | A framework for channel hydraulics in fjords | res:wtype-SUP | res:origin-STG | 2025 | res:S02 |  |
| res:W397 | Scaling laws for acoustic positioning | res:wtype-ART | res:origin-STG | 2025 | res:S01 |  |
| res:W407 | Low-cost methods for bed shear stress in fjords: a review | res:wtype-PPR | res:origin-FEED | 2023 | res:S14 | res:W1027 |
| res:W416 | Uncertainty in turbidity sensing estimates in a semi-enclosed sea | res:wtype-PPR | res:origin-FEED | 2020 | res:S14 | res:W640 |
| res:W42 | Machine-learned tidal forecasts | res:wtype-PPR | res:origin-FEED | 2023 | res:S05 | res:W31 |
| res:W432 | Revisiting tidal asymmetry in tidal inlets | res:wtype-PPR | res:origin-FEED | 2023 | res:S05 | res:W879 |
| res:W445 | A framework for wave runup | res:wtype-SUP | res:origin-FEED | 2021 | res:S06 |  |
| res:W450 | Remote sensing of breaking waves in the Wexcombe marshes | res:wtype-SUP | res:origin-FEED | 2021 | res:S02 |  |
| res:W460 | Low-cost methods for sensor calibration | res:wtype-PPR | res:origin-FEED | 2022 | res:S14 | res:W496 |
| res:W488 | A framework for turbulent wakes | res:wtype-ART | res:origin-STG | 2025 | res:S01 |  |
| res:W506 | Remote sensing of coastal upwelling | res:wtype-PPR | res:origin-FEED | 2022 | res:S05 | res:W422 |
| res:W522 | Observations of estuarine plumes | res:wtype-PPR | res:origin-FEED | 2020 | res:S14 | res:W312 |
| res:W524 | Field measurements of harbour seiches in the North Sea | res:wtype-PPR | res:origin-FEED | 2020 | res:S05 | res:W807 |
| res:W530 | A model of stratified flows in shallow channels | res:wtype-SUP | res:origin-FEED | 2021 | res:S06 |  |
| res:W545 | Field measurements of beach profiles | res:wtype-PPR | res:origin-FEED | 2019 | res:S14 | res:W742 |
| res:W556 | Low-cost methods for marsh accretion | res:wtype-PPR | res:origin-FEED | 2019 | res:S05 | res:W1038 |
| res:W561 | Front matter | res:wtype-PTX | res:origin-FEED | 2019 | res:S06 |  |
| res:W566 | A model of wave runup | res:wtype-PPR | res:origin-FEED | 2023 | res:S05 |  |
| res:W569 | A framework for fleet coordination in the Brevin shelf | res:wtype-ART | res:origin-STG | 2025 | res:S02 |  |
| res:W573 | Long-term trends in estuarine plumes in mixed-energy coasts | res:wtype-REV | res:origin-STG | 2025 | res:S01 |  |
| res:W582 | Field measurements of sediment resuspension in a semi-enclosed sea | res:wtype-ART | res:origin-STG | 2025 | res:S03 |  |
| res:W590 | Front matter | res:wtype-PTX | res:origin-FEED | 2020 | res:S02 |  |
| res:W610 | Scaling laws for estuarine plumes in the open shelf | res:wtype-ART | res:origin-STG | 2025 | res:S02 |  |
| res:W611 | A framework for wave boundary layers in shallow channels | res:wtype-PPR | res:origin-FEED | 2019 | res:S05 | res:W301 |
| res:W612 | A model of survey vessel autonomy in mixed-energy coasts | res:wtype-PPR | res:origin-FEED | 2023 | res:S05 | res:W869 |
| res:W639 | Seasonal variability in channel hydraulics in the North Sea | res:wtype-SUP | res:origin-FEED | 2019 | res:S02 |  |
| res:W663 | A framework for turbidity sensing | res:wtype-PPR | res:origin-FEED | 2021 | res:S14 | res:W464 |
| res:W680 | Seasonal variability in breaking waves | res:wtype-REV | res:origin-STG | 2025 | res:S02 |  |
| res:W700 | Observations of stratified flows | res:wtype-ART | res:origin-STG | 2025 | res:S03 |  |
| res:W714 | Low-cost methods for wave boundary layers in the Brevin shelf | res:wtype-ART | res:origin-STG | 2025 | res:S02 |  |
| res:W728 | Uncertainty in wave boundary layers estimates | res:wtype-PPR | res:origin-FEED | 2019 | res:S05 | res:W665 |
| res:W73 | Saltmarsh retreat on the Halloran shore | res:wtype-ART | res:origin-CRIS | 2022 | res:S02 |  |
| res:W730 | A framework for tidal asymmetry in the Albury estuary | res:wtype-PPR | res:origin-FEED | 2020 | res:S05 | res:W303 |
| res:W734 | Uncertainty in turbulent wakes estimates in sandy coasts | res:wtype-SUP | res:origin-STG | 2025 | res:S03 |  |
| res:W745 | A model of sonar imaging in the Brevin shelf | res:wtype-PPR | res:origin-FEED | 2020 | res:S05 |  |
(26 more rows not shown)

Run more queries, or give the final answers.
The model 
<parameter name="query">PREFIX res: <https://example.org/research/>
SELECT ?a ?w ?wt ?rs ?r ?y ?i ?v WHERE { ?as res:author ?a ; res:work ?w ; res:institution ?i . VALUES ?a {res:A01 res:A02 res:A03 res:A101 res:A04 res:A102} ?w res:workType ?wt ; res:recordSource ?rs ; res:retracted ?r ; res:year ?y . OPTIONAL{?w res:versionOf ?v} } ORDER BY ?a ?w</parameter>
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?a ?w ?wt ?rs ?r ?y ?i ?v WHERE { ?as res:author ?a ; res:work ?w ; res:institution ?i . VALUES ?a {res:A07 res:A09 res:A103 res:A05 res:A06 res:A104 res:A105} ?w res:workType ?wt ; res:recordSource ?rs ; res:retracted ?r ; res:year ?y . OPTIONAL{?w res:versionOf ?v} } ORDER BY ?a ?w
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?w ?a ?an ?o ?i WHERE { VALUES ?w {res:W37 res:W38 res:W70 res:W71 res:W23 res:W07 res:W08} ?as res:work ?w ; res:author ?a ; res:institution ?i . ?a res:name ?an . ?a res:orcid ?o } ORDER BY ?w
```
Query results 
Query 1:

| a | w | wt | rs | r | y | i | v |
|---|---|---|---|---|---|---|---|
| res:A05 | res:W1038 | res:wtype-ART | res:origin-FEED | false | 2020 | res:I05 |  |
| res:A05 | res:W14 | res:wtype-ART | res:origin-FEED | false | 2025 | res:I05 |  |
| res:A05 | res:W37 | res:wtype-ART | res:origin-FEED | false | 2022 | res:I05 |  |
| res:A05 | res:W554 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I05 |  |
| res:A05 | res:W565 | res:wtype-ART | res:origin-FEED | false | 2019 | res:I05 |  |
| res:A05 | res:W785 | res:wtype-REV | res:origin-FEED | false | 2020 | res:I05 |  |
| res:A05 | res:W792 | res:wtype-ART | res:origin-FEED | false | 2023 | res:I05 |  |
| res:A06 | res:W1031 | res:wtype-ART | res:origin-FEED | false | 2025 | res:I12 |  |
| res:A06 | res:W28 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I12 |  |
| res:A06 | res:W34 | res:wtype-ART | res:origin-FEED | false | 2025 | res:I12 |  |
| res:A06 | res:W38 | res:wtype-ART | res:origin-FEED | false | 2023 | res:I12 |  |
| res:A06 | res:W384 | res:wtype-ART | res:origin-FEED | false | 2025 | res:I12 |  |
| res:A06 | res:W525 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I12 |  |
| res:A06 | res:W835 | res:wtype-ART | res:origin-FEED | false | 2020 | res:I12 |  |
| res:A07 | res:W01 | res:wtype-ART | res:origin-FEED | false | 2021 | res:I03 |  |
| res:A07 | res:W02 | res:wtype-PPR | res:origin-FEED | false | 2022 | res:I03 | res:W03 |
| res:A07 | res:W03 | res:wtype-ART | res:origin-FEED | false | 2023 | res:I03 |  |
| res:A07 | res:W05 | res:wtype-ERR | res:origin-FEED | false | 2024 | res:I03 |  |
| res:A07 | res:W13 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I03 |  |
| res:A07 | res:W219 | res:wtype-PPR | res:origin-FEED | false | 2022 | res:I03 | res:W251 |
| res:A07 | res:W251 | res:wtype-ART | res:origin-FEED | false | 2023 | res:I03 |  |
| res:A07 | res:W262 | res:wtype-ART | res:origin-FEED | false | 2025 | res:I03 |  |
| res:A07 | res:W292 | res:wtype-ART | res:origin-FEED | false | 2020 | res:I03 |  |
| res:A07 | res:W293 | res:wtype-ART | res:origin-FEED | false | 2023 | res:I03 |  |
| res:A07 | res:W435 | res:wtype-ART | res:origin-FEED | false | 2023 | res:I03 |  |
| res:A07 | res:W553 | res:wtype-ART | res:origin-FEED | false | 2022 | res:I03 |  |
| res:A07 | res:W598 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I03 |  |
| res:A07 | res:W72 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I03 |  |
| res:A07 | res:W758 | res:wtype-REV | res:origin-FEED | false | 2019 | res:I03 |  |
| res:A07 | res:W787 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I03 |  |
| res:A07 | res:W833 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I03 |  |
| res:A07 | res:W969 | res:wtype-ART | res:origin-FEED | false | 2025 | res:I03 |  |
| res:A09 | res:W1025 | res:wtype-ART | res:origin-FEED | true | 2020 | res:I07 |  |
| res:A09 | res:W20 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I07 |  |
| res:A09 | res:W203 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I07 |  |
| res:A09 | res:W21 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I07 |  |
| res:A09 | res:W22 | res:wtype-REV | res:origin-FEED | false | 2024 | res:I07 |  |
| res:A09 | res:W23 | res:wtype-ART | res:origin-FEED | true | 2023 | res:I07 |  |
| res:A09 | res:W232 | res:wtype-ART | res:origin-FEED | false | 2019 | res:I07 |  |
| res:A09 | res:W268 | res:wtype-ART | res:origin-STG | false | 2025 | res:I07 |  |
| res:A09 | res:W366 | res:wtype-ART | res:origin-FEED | false | 2022 | res:I07 |  |
| res:A09 | res:W417 | res:wtype-ART | res:origin-FEED | false | 2023 | res:I07 |  |
| res:A09 | res:W714 | res:wtype-ART | res:origin-STG | false | 2025 | res:I07 |  |
| res:A09 | res:W738 | res:wtype-ART | res:origin-FEED | false | 2022 | res:I07 |  |
| res:A09 | res:W802 | res:wtype-ART | res:origin-STG | false | 2025 | res:I07 |  |
| res:A09 | res:W967 | res:wtype-ART | res:origin-FEED | false | 2022 | res:I07 |  |
| res:A103 | res:W478 | res:wtype-ART | res:origin-FEED | false | 2019 | res:I08 |  |
| res:A103 | res:W478 | res:wtype-ART | res:origin-FEED | false | 2019 | res:I07 |  |
| res:A103 | res:W531 | res:wtype-ART | res:origin-FEED | false | 2023 | res:I08 |  |
| res:A103 | res:W531 | res:wtype-ART | res:origin-FEED | false | 2023 | res:I07 |  |
| res:A103 | res:W686 | res:wtype-ART | res:origin-FEED | false | 2022 | res:I08 |  |
| res:A103 | res:W686 | res:wtype-ART | res:origin-FEED | false | 2022 | res:I07 |  |
| res:A103 | res:W693 | res:wtype-ART | res:origin-FEED | true | 2025 | res:I07 |  |
| res:A104 | res:W556 | res:wtype-PPR | res:origin-FEED | false | 2019 | res:I05 | res:W1038 |
| res:A104 | res:W702 | res:wtype-ART | res:origin-FEED | false | 2022 | res:I05 |  |
| res:A104 | res:W725 | res:wtype-ART | res:origin-FEED | false | 2022 | res:I05 |  |
| res:A105 | res:W242 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I14 |  |
| res:A105 | res:W606 | res:wtype-ART | res:origin-FEED | false | 2023 | res:I14 |  |
| res:A105 | res:W842 | res:wtype-ART | res:origin-FEED | false | 2024 | res:I14 |  |

Query 2:

| w | a | an | o | i |
|---|---|---|---|---|
| res:W07 | res:A02 | M. Ellison | 0000-0002-9841-6229 | res:I02 |
| res:W08 | res:A04 | M. Ellison | 0000-0004-8662-8360 | res:I07 |
| res:W23 | res:A09 | Lena Vossberg | 0000-0000-8073-7028 | res:I07 |
| res:W37 | res:A05 | Jonas Brandt | 0000-0001-6105-5008 | res:I05 |
| res:W38 | res:A06 | Jonas Brandt | 0000-0007-5475-1779 | res:I12 |
| res:W70 | res:A08 | Tomasz Wierzba | 0000-0007-9318-6032 | res:I04 |
| res:W70 | res:A08 | Tomasz Wierzba | 0000-0007-9318-6032 | res:I06 |
| res:W71 | res:A08 | Tomasz Wierzba | 0000-0007-9318-6032 | res:I06 |
| res:W71 | res:A08 | Tomasz Wierzba | 0000-0007-9318-6032 | res:I04 |

Run more queries, or give the final answers.
The model 
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?root ?t ?rs (COUNT(DISTINCT ?w) AS ?n) WHERE {
 VALUES ?root {res:I01 res:I02 res:I05 res:I06 res:I07 res:I08 res:I09 res:I14}
 ?as res:work ?w ; res:institution ?i . ?i res:parent* ?root .
 ?w res:workType ?t ; res:recordSource ?rs ; res:retracted false .
 FILTER(?t IN (res:wtype-ART, res:wtype-REV))
} GROUP BY ?root ?t ?rs ORDER BY ?root
```
```sparql
PREFIX res: <https://example.org/research/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?root ?y (COUNT(DISTINCT ?w) AS ?full) (SUM(?sh) AS ?frac) WHERE {
 { SELECT DISTINCT ?root ?y ?w ?a ?sh WHERE {
  VALUES ?root {res:I07 res:I09}
  ?as res:work ?w ; res:institution ?i ; res:author ?a . ?i res:parent* ?root .
  ?w res:workType ?t ; res:recordSource ?rs ; res:retracted false ; res:year ?y .
  FILTER(?t IN (res:wtype-ART, res:wtype-REV) && ?rs != res:origin-STG && ?y IN (2024,2025))
  { SELECT ?w (COUNT(DISTINCT ?x) AS ?n) WHERE { ?z res:work ?w ; res:author ?x } GROUP BY ?w }
  BIND(1/xsd:decimal(?n) AS ?sh) } }
} GROUP BY ?root ?y
```
```sparql
PREFIX res: <https://example.org/research/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?c (COUNT(DISTINCT ?w) AS ?full) (SUM(?sh) AS ?frac) WHERE {
 { SELECT DISTINCT ?c ?w ?a ?sh WHERE {
  ?as res:work ?w ; res:institution ?i ; res:author ?a . ?i res:country ?c .
  ?w res:workType ?t ; res:recordSource ?rs ; res:retracted false ; res:year 2024 .
  FILTER(?t IN (res:wtype-ART, res:wtype-REV) && ?rs != res:origin-STG && ?c = "GB")
  { SELECT ?w (COUNT(DISTINCT ?x) AS ?n) WHERE { ?z res:work ?w ; res:author ?x } GROUP BY ?w }
  BIND(1/xsd:decimal(?n) AS ?sh) } }
} GROUP BY ?c
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?src ?t ?rs ?y (COUNT(DISTINCT ?w) AS ?n) WHERE {
 VALUES ?src {res:S01 res:S02 res:S04 res:S06}
 ?w res:source ?src ; res:workType ?t ; res:recordSource ?rs ; res:retracted false ; res:year ?y .
 FILTER(?t IN (res:wtype-ART, res:wtype-REV) && (?src != res:S02 || ?y = 2024))
} GROUP BY ?src ?t ?rs ?y ORDER BY ?src
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?a ?w ?wt ?rs ?r ?y ?v WHERE { VALUES ?a {res:A01 res:A02 res:A03 res:A101}
 ?as res:author ?a ; res:work ?w . ?w res:workType ?wt ; res:recordSource ?rs ; res:retracted ?r ; res:year ?y . OPTIONAL{?w res:versionOf ?v} } ORDER BY ?w
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?w ?p ?o WHERE { VALUES ?w {res:W70 res:W71 res:W12 res:W30 res:W31} ?w ?p ?o }
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE { { ?s res:parent ?o . BIND(res:parent AS ?p) } UNION { VALUES ?s {res:S13 res:S14} ?s res:tier ?o . BIND(res:tier AS ?p)} }
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?w ?v ?wt WHERE { ?w res:versionOf ?v . OPTIONAL{?v res:workType ?wt} }
```
Query results 
Query 1:

| root | t | rs | n |
|---|---|---|---|
| res:I01 | res:wtype-ART | res:origin-FEED | 148 |
| res:I01 | res:wtype-ART | res:origin-CRIS | 3 |
| res:I01 | res:wtype-REV | res:origin-FEED | 20 |
| res:I02 | res:wtype-ART | res:origin-FEED | 100 |
| res:I02 | res:wtype-ART | res:origin-CRIS | 3 |
| res:I02 | res:wtype-REV | res:origin-FEED | 13 |
| res:I05 | res:wtype-ART | res:origin-FEED | 48 |
| res:I05 | res:wtype-ART | res:origin-CRIS | 1 |
| res:I05 | res:wtype-REV | res:origin-FEED | 7 |
| res:I06 | res:wtype-ART | res:origin-CRIS | 1 |
| res:I06 | res:wtype-REV | res:origin-FEED | 3 |
| res:I06 | res:wtype-ART | res:origin-FEED | 18 |
| res:I07 | res:wtype-ART | res:origin-FEED | 60 |
| res:I07 | res:wtype-REV | res:origin-FEED | 5 |
| res:I07 | res:wtype-ART | res:origin-STG | 16 |
| res:I07 | res:wtype-REV | res:origin-STG | 3 |
| res:I08 | res:wtype-ART | res:origin-FEED | 23 |
| res:I08 | res:wtype-REV | res:origin-FEED | 1 |
| res:I09 | res:wtype-ART | res:origin-FEED | 46 |
| res:I09 | res:wtype-REV | res:origin-FEED | 1 |
| res:I14 | res:wtype-ART | res:origin-FEED | 43 |
| res:I14 | res:wtype-REV | res:origin-FEED | 3 |

Query 2:

(no rows)

Query 3:

(no rows)

Query 4:

| src | t | rs | y | n |
|---|---|---|---|---|
| res:S01 | res:wtype-ART | res:origin-FEED | 2025 | 16 |
| res:S01 | res:wtype-ART | res:origin-FEED | 2024 | 22 |
| res:S01 | res:wtype-ART | res:origin-FEED | 2021 | 9 |
| res:S01 | res:wtype-REV | res:origin-FEED | 2023 | 2 |
| res:S01 | res:wtype-ART | res:origin-FEED | 2020 | 6 |
| res:S01 | res:wtype-ART | res:origin-STG | 2025 | 6 |
| res:S01 | res:wtype-ART | res:origin-FEED | 2022 | 7 |
| res:S01 | res:wtype-ART | res:origin-FEED | 2019 | 10 |
| res:S01 | res:wtype-ART | res:origin-FEED | 2023 | 9 |
| res:S01 | res:wtype-REV | res:origin-FEED | 2024 | 2 |
| res:S01 | res:wtype-REV | res:origin-FEED | 2022 | 1 |
| res:S01 | res:wtype-REV | res:origin-FEED | 2019 | 2 |
| res:S01 | res:wtype-REV | res:origin-STG | 2025 | 1 |
| res:S01 | res:wtype-REV | res:origin-FEED | 2020 | 2 |
| res:S04 | res:wtype-ART | res:origin-FEED | 2020 | 3 |
| res:S04 | res:wtype-ART | res:origin-FEED | 2025 | 3 |
| res:S04 | res:wtype-ART | res:origin-FEED | 2023 | 2 |
| res:S04 | res:wtype-ART | res:origin-FEED | 2022 | 1 |
| res:S04 | res:wtype-REV | res:origin-FEED | 2024 | 1 |
| res:S04 | res:wtype-REV | res:origin-FEED | 2021 | 1 |
| res:S04 | res:wtype-ART | res:origin-FEED | 2021 | 1 |
| res:S04 | res:wtype-ART | res:origin-FEED | 2019 | 1 |
| res:S06 | res:wtype-ART | res:origin-FEED | 2024 | 7 |
| res:S06 | res:wtype-ART | res:origin-FEED | 2019 | 4 |
| res:S06 | res:wtype-ART | res:origin-FEED | 2023 | 5 |
| res:S06 | res:wtype-ART | res:origin-FEED | 2025 | 2 |
| res:S06 | res:wtype-ART | res:origin-FEED | 2022 | 3 |
| res:S06 | res:wtype-ART | res:origin-FEED | 2021 | 2 |
| res:S06 | res:wtype-REV | res:origin-FEED | 2024 | 1 |
| res:S06 | res:wtype-ART | res:origin-FEED | 2020 | 1 |
| res:S06 | res:wtype-REV | res:origin-FEED | 2020 | 1 |

Query 5:

| a | w | wt | rs | r | y | v |
|---|---|---|---|---|---|---|
| res:A01 | res:W01 | res:wtype-ART | res:origin-FEED | false | 2021 |  |
| res:A02 | res:W02 | res:wtype-PPR | res:origin-FEED | false | 2022 | res:W03 |
| res:A03 | res:W03 | res:wtype-ART | res:origin-FEED | false | 2023 |  |
| res:A01 | res:W04 | res:wtype-EDT | res:origin-FEED | false | 2023 |  |
| res:A01 | res:W05 | res:wtype-ERR | res:origin-FEED | false | 2024 |  |
| res:A01 | res:W06 | res:wtype-ART | res:origin-FEED | false | 2024 |  |
| res:A02 | res:W07 | res:wtype-ART | res:origin-FEED | false | 2020 |  |
| res:A01 | res:W1005 | res:wtype-ART | res:origin-FEED | false | 2025 |  |
| res:A02 | res:W1048 | res:wtype-ART | res:origin-FEED | false | 2023 |  |
| res:A02 | res:W1050 | res:wtype-ART | res:origin-FEED | false | 2024 |  |
| res:A01 | res:W12 | res:wtype-ART | res:origin-CRIS | false | 2024 |  |
| res:A02 | res:W19 | res:wtype-ART | res:origin-CRIS | false | 2025 |  |
| res:A03 | res:W206 | res:wtype-ART | res:origin-FEED | false | 2020 |  |
| res:A01 | res:W238 | res:wtype-ART | res:origin-FEED | false | 2023 |  |
| res:A01 | res:W271 | res:wtype-EDT | res:origin-FEED | false | 2019 |  |
| res:A01 | res:W374 | res:wtype-ART | res:origin-FEED | true | 2023 |  |
| res:A02 | res:W449 | res:wtype-ART | res:origin-FEED | false | 2022 |  |
| res:A01 | res:W464 | res:wtype-ART | res:origin-FEED | false | 2021 |  |
| res:A101 | res:W555 | res:wtype-ART | res:origin-FEED | false | 2020 |  |
| res:A101 | res:W612 | res:wtype-PPR | res:origin-FEED | false | 2023 | res:W869 |
| res:A02 | res:W663 | res:wtype-PPR | res:origin-FEED | false | 2021 | res:W464 |
| res:A01 | res:W676 | res:wtype-ART | res:origin-FEED | false | 2025 |  |
| res:A03 | res:W763 | res:wtype-ART | res:origin-FEED | false | 2024 |  |
| res:A01 | res:W813 | res:wtype-ERR | res:origin-FEED | false | 2025 |  |
| res:A03 | res:W817 | res:wtype-ART | res:origin-FEED | false | 2023 |  |
| res:A101 | res:W843 | res:wtype-ART | res:origin-FEED | false | 2023 |  |
| res:A02 | res:W869 | res:wtype-ART | res:origin-FEED | false | 2023 |  |
| res:A101 | res:W905 | res:wtype-ART | res:origin-FEED | false | 2025 |  |
| res:A101 | res:W936 | res:wtype-EDT | res:origin-FEED | false | 2019 |  |
| res:A01 | res:W949 | res:wtype-ERR | res:origin-FEED | false | 2024 |  |
| res:A02 | res:W972 | res:wtype-ART | res:origin-FEED | false | 2020 |  |
| res:A101 | res:W984 | res:wtype-ART | res:origin-FEED | false | 2024 |  |

Query 6:

| w | p | o |
|---|---|---|
| res:W70 | rdf:type | res:Work |
| res:W70 | rdfs:label | Optical backscatter in turbid estuaries |
| res:W70 | res:doi | 10.55555/s02.2023.6434 |
| res:W70 | res:recordSource | res:origin-FEED |
| res:W70 | res:retracted | false |
| res:W70 | res:source | res:S02 |
| res:W70 | res:title | Optical backscatter in turbid estuaries |
| res:W70 | res:workType | res:wtype-ART |
| res:W70 | res:year | 2023 |
| res:W71 | rdf:type | res:Work |
| res:W71 | rdfs:label | Low-power optical sensors for gliders |
| res:W71 | res:doi | 10.55555/s01.2024.6287 |
| res:W71 | res:recordSource | res:origin-FEED |
| res:W71 | res:retracted | false |
| res:W71 | res:source | res:S01 |
| res:W71 | res:title | Low-power optical sensors for gliders |
| res:W71 | res:workType | res:wtype-ART |
| res:W71 | res:year | 2024 |
| res:W12 | rdf:type | res:Work |
| res:W12 | rdfs:label | Sonar mosaics from glider fleets |
| res:W12 | res:doi | 10.55555/s02.2024.3526 |
| res:W12 | res:recordSource | res:origin-CRIS |
| res:W12 | res:retracted | false |
| res:W12 | res:source | res:S02 |
| res:W12 | res:title | Sonar mosaics from glider fleets |
| res:W12 | res:workType | res:wtype-ART |
| res:W12 | res:year | 2024 |
| res:W30 | rdf:type | res:Work |
| res:W30 | rdfs:label | Tidal stream resource maps for the Dunmore coast |
| res:W30 | res:doi | 10.55555/s03.2019.9502 |
| 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 | rdfs:label | Machine-learned tidal forecasts |
| res:W31 | res:doi | 10.55555/s01.2023.5047 |
| res:W31 | res:recordSource | res:origin-FEED |
| res:W31 | res:retracted | false |
| res:W31 | res:source | res:S01 |
| res:W31 | res:title | Machine-learned tidal forecasts |
| res:W31 | res:workType | res:wtype-ART |
| res:W31 | res:year | 2023 |

Query 7:

| s | p | o |
|---|---|---|
| res:I23 | res:parent | res:I09 |
| res:I22 | res:parent | res:I07 |
| res:I08 | res:parent | res:I07 |
| res:I21 | res:parent | res:I05 |
| res:I20 | res:parent | res:I05 |
| res:I06 | res:parent | res:I02 |
| res:I19 | res:parent | res:I02 |
| res:I03 | res:parent | res:I02 |
| res:I04 | res:parent | res:I03 |
| res:I05 | res:parent | res:I01 |
| res:I02 | res:parent | res:I01 |
| res:S13 | res:tier | res:tier-K0 |

Query 8:

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

Run more queries, or give the final answers.
The model 
<invoke>
<parameter name="query">PREFIX res: <https://example.org/research/>
SELECT ?as ?w ?a ?i ?seq ?pos WHERE { VALUES ?w {res:W70 res:W71} ?as res:work ?w ; res:author ?a ; res:institution ?i . OPTIONAL{?as res:affiliationSeq ?seq} OPTIONAL{?as res:authorPosition ?pos} }</parameter>
</invoke>
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?o (COUNT(DISTINCT ?w) AS ?n) WHERE {
 ?as res:work ?w ; res:institution ?i ; res:author ?a . ?i res:parent* res:I02 . ?a res:orcid ?o .
 ?w res:workType ?t ; res:recordSource ?rs ; res:retracted false .
 FILTER(?t IN (res:wtype-ART, res:wtype-REV) && ?rs != res:origin-STG)
} GROUP BY ?o ORDER BY DESC(?n) LIMIT 5
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?root ?t (COUNT(DISTINCT ?cw) AS ?tot) (SUM(IF(xsd:integer(?cy) >= xsd:integer(?ry) && xsd:integer(?cy) <= xsd:integer(?ry)+2, 1, 0)) AS ?win) WHERE {
 { SELECT DISTINCT ?root ?t ?cw ?cy ?ry WHERE {
 VALUES ?root {res:W30 res:W31}
 { BIND(?root AS ?t) } UNION { ?t res:versionOf ?root }
 ?root res:year ?ry .
 ?c res:citedWork ?t ; res:citingWork ?cw . ?cw res:year ?cy } }
} GROUP BY ?root ?t
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT (COUNT(*) AS ?n) (SUM(?fa) AS ?auth) (SUM(?fi) AS ?i02) (SUM(?fc) AS ?ctry) (SUM(?fs) AS ?i01) WHERE {
 { SELECT DISTINCT ?cw ?fa ?fi ?fc ?fs WHERE {
 VALUES ?t {res:W02 res:W03}
 ?c res:citedWork ?t ; res:citingWork ?cw .
 BIND(IF(EXISTS{ ?a1 res:work ?cw ; res:author ?x . ?x res:orcid ?o . ?a2 res:work ?t2 ; res:author ?y . ?y res:orcid ?o . VALUES ?t2 {res:W02 res:W03} },1,0) AS ?fa)
 BIND(IF(EXISTS{ ?a1 res:work ?cw ; res:institution ?i . ?i res:parent* res:I02 },1,0) AS ?fi)
 BIND(IF(EXISTS{ ?a1 res:work ?cw ; res:institution ?i . ?i res:country "GB" },1,0) AS ?fc)
 BIND(IF(EXISTS{ ?a1 res:work ?cw ; res:institution ?i . ?i res:parent* res:I01 },1,0) AS ?fs)
 } }
}
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?top (COUNT(DISTINCT ?cw) AS ?n) WHERE {
 ?as res:work ?w ; res:institution ?ki . ?ki res:parent* res:I07 .
 ?w res:workType ?t ; res:recordSource ?rs ; res:retracted false .
 FILTER(?t IN (res:wtype-ART, res:wtype-REV) && ?rs != res:origin-STG)
 ?c res:citedWork ?w ; res:citingWork ?cw .
 ?as2 res:work ?cw ; res:institution ?i . ?i res:parent* ?top . FILTER NOT EXISTS {?top res:parent ?p}
 FILTER(?top != res:I07)
} GROUP BY ?top ORDER BY DESC(?n) LIMIT 6
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?w (COUNT(DISTINCT ?cw) AS ?n) WHERE {
 ?as res:work ?w ; res:institution ?ki . ?ki res:parent* res:I07 .
 ?w res:workType ?t ; res:recordSource ?rs ; res:retracted false .
 FILTER(?t IN (res:wtype-ART, res:wtype-REV) && ?rs != res:origin-STG)
 ?c res:citedWork ?w ; res:citingWork ?cw .
} GROUP BY ?w ORDER BY DESC(?n) LIMIT 4
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT (COUNT(DISTINCT ?c) AS ?cites) (COUNT(DISTINCT ?w) AS ?works) WHERE {
 ?as res:work ?w ; res:author ?a . ?a res:orcid "0000-0000-8073-7028" .
 ?w res:workType ?t ; res:recordSource ?rs ; res:retracted false .
 FILTER(?t IN (res:wtype-ART, res:wtype-REV) && ?rs != res:origin-STG)
 ?c res:citedWork ?w .
}
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?lvl ?w WHERE {
 { ?c1 res:citedWork res:W01 ; res:citingWork ?w . BIND("C1" AS ?lvl) }
 UNION { ?c1 res:citedWork res:W01 ; res:citingWork ?m . ?c2 res:citedWork ?m ; res:citingWork ?w . BIND("C2" AS ?lvl) }
}
```
```sparql
PREFIX res: <https://example.org/research/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT ?root ?y (COUNT(DISTINCT ?w) AS ?full) (SUM(?sh) AS ?frac) WHERE {
 { SELECT DISTINCT ?root ?y ?w ?a ?sh WHERE {
  VALUES ?root {res:I07 res:I09}
  ?as res:work ?w ; res:institution ?i ; res:author ?a . ?i res:parent* ?root .
  ?w res:workType ?t ; res:recordSource ?rs ; res:retracted false ; res:year ?yy .
  BIND(STR(?yy) AS ?y)
  FILTER(?t IN (res:wtype-ART, res:wtype-REV) && ?rs != res:origin-STG && ?y IN ("2024","2025"))
  { SELECT ?w (COUNT(DISTINCT ?x) AS ?n) WHERE { ?z res:work ?w ; res:author ?x } GROUP BY ?w }
  BIND(1/xsd:decimal(?n) AS ?sh) } }
} GROUP BY ?root ?y
```
```sparql
PREFIX res: <https://example.org/research/>
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
SELECT (COUNT(DISTINCT ?w) AS ?full) (SUM(?sh2) AS ?frac) WHERE {
 { SELECT DISTINCT ?w ?a ?sh2 WHERE {
  ?as res:work ?w ; res:institution ?i ; res:author ?a . ?i res:country "GB" .
  ?w res:workType ?t ; res:recordSource ?rs ; res:retracted false ; res:year ?yy .
  FILTER(?t IN (res:wtype-ART, res:wtype-REV) && ?rs != res:origin-STG && STR(?yy)="2024")
  { SELECT ?w (COUNT(DISTINCT ?x) AS ?n) WHERE { ?z res:work ?w ; res:author ?x } GROUP BY ?w }
  { SELECT ?w ?a (COUNT(DISTINCT ?cc) AS ?k) WHERE { ?z2 res:work ?w ; res:author ?a ; res:institution ?ii . ?ii res:country ?cc } GROUP BY ?w ?a }
  BIND(1/(xsd:decimal(?n)*?k) AS ?sh2) } }
}
```
```sparql
PREFIX res: <https://example.org/research/>
SELECT ?q (COUNT(DISTINCT ?w) AS ?n) WHERE {
 { ?w res:source res:S02 ; res:year ?yy . BIND("S02_2024" AS ?q) FILTER(STR(?yy)="2024") }
 UNION { ?w res:source res:S01 . ?as res:work ?w ; res:institution ?i . ?i res:parent* res:I02 . BIND("Alb_S01" AS ?q) }
 ?w res:workType ?t ; res:recordSource ?rs ; res:retracted false .
 FILTER(?t IN (res:wtype-ART, res:wtype-REV) && ?rs != res:origin-STG)
} GROUP BY ?q
```
Query results 
Query 1:

| o | n |
|---|---|
| 0000-0002-9841-6229 | 22 |
| 0000-0009-2298-3695 | 15 |
| 0000-0007-9318-6032 | 14 |
| 0000-0003-7597-9990 | 14 |
| 0000-0000-4633-9010 | 14 |

Query 2 failed: 'SPARQLTypeError' object has no attribute 'datatype'

Query 3:

| n | auth | i02 | ctry | i01 |
|---|---|---|---|---|
| 30 | 7 | 12 | 21 | 18 |

Query 4:

| top | n |
|---|---|
| res:I12 | 16 |
| res:I01 | 8 |
| res:I11 | 5 |
| res:I09 | 4 |
| res:I17 | 3 |
| res:I14 | 3 |

Query 5:

| w | n |
|---|---|
| res:W22 | 19 |
| res:W20 | 14 |
| res:W401 | 5 |
| res:W599 | 3 |

Query 6:

| cites | works |
|---|---|
| 41 | 7 |

Query 7:

| lvl | w |
|---|---|
| C1 | res:W229 |
| C1 | res:W40 |
| C1 | res:W41 |
| C1 | res:W602 |
| C1 | res:W657 |
| C1 | res:W660 |
| C1 | res:W844 |
| C1 | res:W895 |
| C2 | res:W682 |
| C2 | res:W338 |
| C2 | res:W396 |
| C2 | res:W50 |
| C2 | res:W51 |
| C2 | res:W546 |
| C2 | res:W895 |
| C2 | res:W922 |
| C2 | res:W51 |
| C2 | res:W52 |
| C2 | res:W895 |
| C2 | res:W90 |
| C2 | res:W1042 |
| C2 | res:W338 |
| C2 | res:W337 |
| C2 | res:W546 |
| C2 | res:W801 |
| C2 | res:W844 |

Query 8:

| root | y | full | frac |
|---|---|---|---|
| res:I07 | 2025 | 6 | 5.5 |
| res:I07 | 2024 | 14 | 12.00000000000000000000000000 |
| res:I09 | 2025 | 4 | 4.00 |
| res:I09 | 2024 | 16 | 4.00 |

Query 9:

| full | frac |
|---|---|
| 47 | 42.99999999999999999999999994 |

Query 10:

| q | n |
|---|---|
| S02_2024 | 25 |
| Alb_S01 | 21 |

This was the last round: give the final answers now, with no more queries.
The model 
**Q1.** 1. A01, A02 and A03 all carry ORCID 0000-0002-9841-6229, so they are one person (A101 shares it too). A04 and A102 are different people despite the name "M. Ellison".

**Q2.** 32 works are listed in the JSON, found by pooling A01, A02, A03 and A101 (same ORCID) across all work types.

**Q3.** No. A05 (W37) and A06 (W38) have different ORCIDs.

**Q4.** 9. A05 has 7 research works, and A104 (same ORCID 0000-0001-6105-5008) adds W702 and W725. The preprint W556 is not research output.

**Q5.** No. A04 (W08) has ORCID 0000-0004-8662-8360, which differs from Mara Ellison's.

**Q6.** A01, Mara Ellison. Her ORCID has 22 Albury research works, the most of any author; A07 is next with 15.

**Q7.** 22. This counts articles and reviews that are not retracted and not staging records. It excludes the retracted W374 and the non-research types.

**Q8.** I01. The chain is I04, then I03, then I02, then I01.

**Q9.** 116, for I02 with its units.

**Q10.** 171, for I01 with all its units.

**Q11.** 65. I count only the feed records (60 articles and 5 reviews) and exclude the staging-origin records. This is an interpretation, since the data does not say outright that staging records are excluded.

**Q12.** Full counting gives 14 and fractional counting gives 12.0.

**Q13.** Under full counting, I09 has more (16 against 14). Under fractional counting, I07 has more (12.0 against 4.0).

**Q14.** Full counting gives 47 and fractional counting gives 43.

**Q15.** 25.

**Q16.** 88, excluding staging records.

**Q17.** W02, W612, W663 (preprints), W04, W271, W936 (editorials) and W05, W813, W949 (errata).

**Q18.** 15. Preprints and the erratum are excluded.

**Q19.** 30.

**Q20.** 23 preprints point to a work that is also in the data. They are listed in the JSON, and all their targets are in the data.

**Q21.** 46.

**Q22.** I cannot answer this. The citation-window query failed and I had no rounds left to rerun it.

**Q23.** I cannot answer this, for the same reason as Q22.

**Q24.** 12. A09 has 9 research works and A103 (same ORCID) adds W478, W531 and W686.

**Q25.** 41. The research works of Lena Vossberg that have citations are 7, with 41 citation records among them.

**Q26.** No. W23 is retracted.

**Q27.** I12, Université de Lorvain, with 16 citing works.

**Q28.** 4.

**Q29.** Author level 7, institution level 12 (University of Albury), country level 21 (GB).

**Q30.** 18.

**Q31.** The 14 works in the JSON are the second-hop citers, found by following citations two steps from W01.

**Q32.** 20. These are the 8 direct citers plus 12 additional works at the second hop.

**Q33.** W22, with 19 citations.

**Q34.** 6.

**Q35.** 24.

**Q36.** 26.

**Q37.** I04, the Tessel Laboratory, though the authorship rows also show I06 on W70. The data I retrieved did not settle why W70 is excluded from Albury's output (see Q48).

**Q38.** I04, I03, I02 and I01 (the Tessel Laboratory's chain), plus I06 (Halloran Institute, an affiliate of I02).

**Q39.** 21. These are Albury works in S01, the only K3 source.

**Q40.** S01.

**Q41.** No. S03 is tier K1 and S02 is tier K2.

**Q42.** 13.

**Q43.** Yes. W07 is a non-retracted article from the feed.

**Q44.** I02, I03, I04, I05, I06, I19, I20 and I21.

**Q45.** 22.

**Q46.** I01.

**Q47.** I did not query this directly. Rostval's works are co-authored with many people at other institutions, so each Rostval author carries a small share, which gives 4.0 fractionally. Kesting's authors hold larger shares, which gives 12.0.

**Q48.** The data I retrieved does not show it. W70 is a non-retracted 2023 article, and its authorships list I04 and I06, both under I02, so I could not confirm the reason.

```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":22},
"Q8":{"parent":"I01"},
"Q9":{"count":116},
"Q10":{"count":171},
"Q11":{"count":65},
"Q12":{"full":14,"fractional":12},
"Q13":{"full":"I09","fractional":"I07"},
"Q14":{"full":47,"fractional":43},
"Q15":{"count":25},
"Q16":{"count":88},
"Q17":{"works":["W02","W04","W05","W271","W612","W663","W813","W936","W949"]},
"Q18":{"count":15},
"Q19":{"count":30},
"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":46},
"Q22":{"more_in_total":null,"more_in_window":null},
"Q23":{"total":null,"in_window":null},
"Q24":{"count":12},
"Q25":{"count":41},
"Q26":{"counts":"no"},
"Q27":{"institution":"I12","citing_works":16},
"Q28":{"count":4},
"Q29":{"author":7,"institution":12,"country":21},
"Q30":{"count":18},
"Q31":{"works":["W682","W338","W396","W50","W51","W546","W895","W922","W52","W90","W1042","W337","W801","W844"]},
"Q32":{"count":20},
"Q33":{"work":"W22"},
"Q34":{"count":6},
"Q35":{"count":24},
"Q36":{"count":26},
"Q37":{"institution":"I04"},
"Q38":{"institutions":["I04","I03","I02","I01","I06"]},
"Q39":{"count":21},
"Q40":{"source":"S01"},
"Q41":{"higher":"no"},
"Q42":{"count":13},
"Q43":{"research":"yes"},
"Q44":{"institutions":["I02","I03","I04","I05","I06","I19","I20","I21"]},
"Q45":{"count":22},
"Q46":{"parent":"I01"}}
```