D6 sparql+axioms, run 5: the query session

32 queries2 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
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(STRSTARTS(STR(?s), "https://example.org/research/A") ) } ORDER BY ?s ?p
```

```sparql
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(REGEX(STR(?s), "research/(I|S)[0-9]+$")) } 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 |
(12855 more rows not shown)

Query 2:

| s | p | o |
|---|---|---|
| res:I01 | rdf:type | res:Institution |
| res:I01 | rdfs:label | Albury University System |
| res:I01 | res:country | GB |
| res:I01 | res:countsTowards | res:I01 |
| res:I01 | res:institutionType | res:itype-SYS |
| res:I01 | res:name | Albury University System |
| res:I01 | res:ror | 0hygr4985 |
| res:I01 | res:ultimateParent | res:I01 |
| res:I02 | rdf:type | res:Institution |
| res:I02 | rdfs:label | University of Albury |
| res:I02 | res:country | GB |
| res:I02 | res:countsTowards | res:I02 |
| res:I02 | res:countsTowards | res:I01 |
| 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:I02 | res:ultimateParent | res:I01 |
| res:I02 | res:unitOf | res:I01 |
| res:I03 | rdf:type | res:Institution |
| res:I03 | rdfs:label | Albury Centre for Marine Robotics |
| res:I03 | res:country | GB |
| res:I03 | res:countsTowards | res:I01 |
| res:I03 | res:countsTowards | res:I03 |
| res:I03 | res:countsTowards | res:I02 |
| 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:I03 | res:ultimateParent | res:I01 |
| res:I03 | res:unitOf | res:I02 |
| res:I04 | rdf:type | res:Institution |
| res:I04 | rdfs:label | Tessel Laboratory for Ocean Sensing |
| res:I04 | res:country | GB |
| res:I04 | res:countsTowards | res:I03 |
| res:I04 | res:countsTowards | res:I04 |
| res:I04 | res:countsTowards | res:I01 |
| res:I04 | res:countsTowards | res:I02 |
| 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:I04 | res:ultimateParent | res:I01 |
| res:I04 | res:unitOf | res:I03 |
| res:I05 | rdf:type | res:Institution |
| res:I05 | rdfs:label | Albury Metropolitan University |
| res:I05 | res:country | GB |
| res:I05 | res:countsTowards | res:I01 |
| res:I05 | res:countsTowards | res:I05 |
| 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:I05 | res:ultimateParent | res:I01 |
| res:I05 | res:unitOf | res:I01 |
| res:I06 | rdf:type | res:Institution |
| res:I06 | rdfs:label | Halloran Institute for Coastal Studies |
| res:I06 | res:country | GB |
| res:I06 | res:countsTowards | res:I06 |
| res:I06 | res:institutionType | res:itype-AFF |
(300 more rows not shown)

Run more queries, or give the final answers.

The model

```sparql
SELECT ?w ?type ?title ?year ?wt ?src ?ret ?rs ?ca (GROUP_CONCAT(DISTINCT STRAFTER(STR(?hp),"research/");separator=",") AS ?people) WHERE {
 ?w a res:Work . 
 OPTIONAL{?w res:title ?title} OPTIONAL{?w res:year ?year} OPTIONAL{?w res:workType ?wt} OPTIONAL{?w res:source ?src}
 OPTIONAL{?w res:retracted ?ret} OPTIONAL{?w res:recordSource ?rs} OPTIONAL{?w res:countsAs ?ca}
 OPTIONAL{?w res:hasPerson ?hp}
 BIND(EXISTS{?w a res:ResearchWork} AS ?type)
} GROUP BY ?w ?type ?title ?year ?wt ?src ?ret ?rs ?ca ORDER BY ?w
```

```sparql
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(REGEX(STR(?s), "research/(I|S)[0-9]+$")) FILTER(?p NOT IN (rdf:type, res:name, res:ror, res:countsTowards, res:ultimateParent, res:unitOf)) FILTER(!REGEX(STR(?s),"research/I0[1-6]$")) } ORDER BY ?s ?p
```

Query results

Query 1:

| w | type | title | year | wt | src | ret | rs | ca | people |
|---|---|---|---|---|---|---|---|---|---|
| res:W01 | true | Adaptive path planning for underwater gliders | 2021 | res:wtype-ART | res:S01 | false | res:origin-FEED | res:W01 | A01,A07 |
| res:W02 | false | Drift-aware mapping with low-cost sonar | 2022 | res:wtype-PPR | res:S05 | false | res:origin-FEED | res:W03 | Non-literal passes as string: NotBoundError(None) |
| res:W03 | true | Drift-aware mapping with low-cost sonar | 2023 | res:wtype-ART | res:S02 | false | res:origin-FEED | res:W03 | A01,A07 |
| res:W04 | false | Editorial: a new decade of marine autonomy | 2023 | res:wtype-EDT | res:S01 | false | res:origin-FEED | res:W04 | A01 |
| res:W05 | false | Erratum: Drift-aware mapping with low-cost sonar | 2024 | res:wtype-ERR | res:S02 | false | res:origin-FEED | res:W05 | A01,A07 |
| res:W06 | true | Shoreline change detection from glider transects | 2024 | res:wtype-ART | res:S03 | false | res:origin-FEED | res:W06 | A01,A15 |
| res:W07 | false | Low-cost sonar arrays for coastal monitoring | 2020 | res:wtype-ART | res:S04 | false | res:origin-FEED | res:W07 | A01 |
| res:W08 | true | Turbulent wake modelling behind tidal turbines | 2025 | res:wtype-ART | res:S01 | false | res:origin-FEED | res:W08 | A04 |
| res:W09 | false | Issue information | 2023 | res:wtype-PTX | res:S01 | false | res:origin-FEED | res:W09 | Non-literal passes as string: NotBoundError(None) |
| res:W10 | false | Front matter | 2024 | res:wtype-PTX | res:S02 | false | res:origin-FEED | res:W10 | Non-literal passes as string: NotBoundError(None) |
| res:W1000 | true | Low-cost methods for internal waves | 2024 | res:wtype-ART | res:S01 | false | res:origin-FEED | res:W1000 | A157 |
| res:W1001 | true | Machine learning for harbour seiches in mixed-energy coasts | 2024 | res:wtype-ART | res:S09 | false | res:origin-FEED | res:W1001 | A202,A33 |
| res:W1002 | true | A framework for dune erosion | 2021 | res:wtype-SUP | res:S06 | false | res:origin-FEED | res:W1002 | A156,A162 |
| res:W1003 | true | Field measurements of sensor calibration in the North Sea | 2024 | res:wtype-ART | res:S06 | false | res:origin-FEED | res:W1003 | A110,A113 |
| res:W1004 | true | Revisiting acoustic positioning | 2024 | res:wtype-ART | res:S02 | false | res:origin-FEED | res:W1004 | A160 |
| res:W1005 | true | Remote sensing of buoy telemetry in fjords | 2025 | res:wtype-ART | res:S02 | false | res:origin-FEED | res:W1005 | A01,A111,A198 |
| res:W1006 | false | Seasonal variability in acoustic positioning in a laboratory flume | 2020 | res:wtype-REV | res:S13 | false | res:origin-FEED | res:W1006 | A157 |
| res:W1007 | true | A model of storm surge in sandy coasts | 2023 | res:wtype-ART | res:S01 | false | res:origin-FEED | res:W1007 | A22 |
| res:W1008 | true | Machine learning for beach profiles in sandy coasts | 2025 | res:wtype-ART | res:S11 | false | res:origin-FEED | res:W1008 | A160,A162 |
| res:W1009 | true | Revisiting sediment flux in the open shelf: a review | 2022 | res:wtype-REV | res:S12 | false | res:origin-FEED | res:W1009 | A34,A44 |
| res:W101 | true | Long-term trends in estuarine salinity | 2019 | res:wtype-ART | res:S08 | false | res:origin-FEED | res:W101 | A30,A42 |
| res:W1010 | true | Revisiting vortex shedding in mixed-energy coasts | 2020 | res:wtype-ART | res:S02 | false | res:origin-FEED | res:W1010 | A152,A19 |
| res:W1011 | false | Scaling laws for fleet coordination in harbour basins | 2021 | res:wtype-REV | res:S04 | false | res:origin-FEED | res:W1011 | A130 |
| res:W1012 | true | Seasonal variability in marsh accretion in the Wexcombe marshes | 2020 | res:wtype-ART | res:S08 | false | res:origin-FEED | res:W1012 | A199,A35 |
| res:W1013 | false | Revisiting battery endurance in sandy coasts | 2025 | res:wtype-ART | res:S04 | false | res:origin-FEED | res:W1013 | A168 |
| res:W1014 | true | A model of sensor calibration in the North Sea | 2023 | res:wtype-ART | res:S01 | false | res:origin-FEED | res:W1014 | A158,A160,A162 |
| res:W1015 | true | Revisiting tidal asymmetry in mixed-energy coasts | 2023 | res:wtype-ART | res:S12 | false | res:origin-FEED | res:W1015 | A194,A196,A225 |
| res:W1016 | true | Scaling laws for bed shear stress in a laboratory flume | 2025 | res:wtype-ART | res:S06 | false | res:origin-FEED | res:W1016 | A15 |
| res:W1017 | true | A model of tidal asymmetry in tidal inlets | 2025 | res:wtype-ART | res:S07 | false | res:origin-FEED | res:W1017 | A196,A227,A33 |
| res:W1018 | true | Remote sensing of estuarine salinity in the Brevin shelf | 2025 | res:wtype-ART | res:S08 | false | res:origin-FEED | res:W1018 | A108 |
| res:W1019 | true | Seasonal variability in coastal upwelling in mixed-energy coasts | 2020 | res:wtype-ART | res:S03 | false | res:origin-FEED | res:W1019 | A15,A167 |
| res:W102 | true | Long-term trends in dune erosion | 2023 | res:wtype-ART | res:S07 | false | res:origin-FEED | res:W102 | A36,A38,A42 |
| res:W1020 | false | Machine learning for vortex shedding in mixed-energy coasts | 2020 | res:wtype-ART | res:S13 | false | res:origin-FEED | res:W1020 | A04 |
| res:W1021 | true | Long-term trends in wave boundary layers | 2021 | res:wtype-ART | res:S02 | false | res:origin-FEED | res:W1021 | A137 |
| res:W1022 | true | Uncertainty in storm surge estimates in the Wexcombe marshes | 2023 | res:wtype-ART | res:S09 | false | res:origin-FEED | res:W1022 | A195,A37 |
| res:W1023 | true | A model of beach profiles in mixed-energy coasts | 2024 | res:wtype-ART | res:S09 | false | res:origin-FEED | res:W1023 | A197,A199 |
| res:W1024 | true | Long-term trends in dune erosion in sandy coasts | 2020 | res:wtype-ART | res:S12 | false | res:origin-FEED | res:W1024 | A187 |
| res:W1025 | false | Long-term trends in stratified flows | 2020 | res:wtype-ART | res:S02 | true | res:origin-FEED | res:W1025 | A09 |
| res:W1026 | true | A model of dune erosion in a macrotidal bay | 2019 | res:wtype-ART | res:S09 | false | res:origin-FEED | res:W1026 | A212,A41 |
| res:W1027 | true | Low-cost methods for bed shear stress in fjords: a review | 2024 | res:wtype-REV | res:S10 | false | res:origin-FEED | res:W1027 | A143,A145 |
| res:W1028 | true | A model of wave runup in mixed-energy coasts | 2019 | res:wtype-ART | res:S03 | false | res:origin-FEED | res:W1028 | A107,A20 |
| res:W1029 | true | Seasonal variability in coastal upwelling in the open shelf | 2022 | res:wtype-ART | res:S09 | false | res:origin-FEED | res:W1029 | A208,A224 |
| res:W103 | true | A model of harbour seiches | 2020 | res:wtype-ART | res:S07 | false | res:origin-FEED | res:W103 | A34,A35,A41 |
| res:W1030 | true | Low-cost methods for storm surge in the open shelf | 2021 | res:wtype-ART | res:S12 | false | res:origin-FEED | res:W1030 | A174 |
| res:W1031 | true | Remote sensing of internal waves in the open shelf | 2025 | res:wtype-ART | res:S01 | false | res:origin-FEED | res:W1031 | A06,A158 |
| res:W1032 | true | Low-cost methods for coastal upwelling | 2019 | res:wtype-ART | res:S02 | false | res:origin-FEED | res:W1032 | A14,A157,A158 |
| res:W1033 | true | Machine learning for tidal asymmetry | 2025 | res:wtype-ART | res:S08 | false | res:origin-FEED | res:W1033 | A14,A156 |
| res:W1034 | false | Foreword: tidal mixing | 2025 | res:wtype-EDT | res:S06 | false | res:origin-FEED | res:W1034 | Non-literal passes as string: NotBoundError(None) |
| res:W1035 | true | Uncertainty in ocean optics estimates in the Brevin shelf | 2021 | res:wtype-ART | res:S03 | false | res:origin-FEED | res:W1035 | A126 |
| res:W1036 | true | Uncertainty in bed shear stress estimates in the Albury estuary | 2024 | res:wtype-ART | res:S06 | false | res:origin-FEED | res:W1036 | A148,A202,A43,A44 |
| res:W1037 | false | Low-cost methods for harbour seiches in the Wexcombe marshes | 2022 | res:wtype-ART | res:S02 | true | res:origin-FEED | res:W1037 | A159 |
| res:W1038 | true | Low-cost methods for marsh accretion | 2020 | res:wtype-ART | res:S02 | false | res:origin-FEED | res:W1038 | A05,A164 |
| res:W1039 | true | Revisiting vortex shedding in sandy coasts | 2023 | res:wtype-ART | res:S11 | false | res:origin-FEED | res:W1039 | A164,A165 |
| res:W104 | true | Remote sensing of wave runup | 2019 | res:wtype-ART | res:S07 | false | res:origin-FEED | res:W104 | A37,A44,A45 |
| res:W1040 | true | Field measurements of storm surge | 2024 | res:wtype-ART | res:S08 | false | res:origin-FEED | res:W1040 | A179,A33 |
| res:W1041 | false | Editorial: survey vessel autonomy | 2025 | res:wtype-EDT | res:S03 | false | res:origin-FEED | res:W1041 | A137 |
| res:W1042 | true | Revisiting seabed classification in a semi-enclosed sea | 2025 | res:wtype-ART | res:S01 | false | res:origin-FEED | res:W1042 | A172 |
| res:W1043 | false | Editorial: machine learning for sediment flux | 2023 | res:wtype-EDT | res:S08 | false | res:origin-FEED | res:W1043 | A43 |
| res:W1044 | true | Machine learning for acoustic positioning in harbour basins | 2021 | res:wtype-ART | res:S02 | false | res:origin-FEED | res:W1044 | A110,A111,A113,A192 |
| res:W1046 | true | Low-cost methods for vortex shedding in a laboratory flume | 2024 | res:wtype-ART | res:S01 | false | res:origin-FEED | res:W1046 | A119 |
(790 more rows not shown)

Query 2:

| s | p | o |
|---|---|---|
| res:I07 | rdfs:label | Kesting University |
| res:I07 | res:country | DE |
| res:I07 | res:institutionType | res:itype-UNI |
| res:I08 | rdfs:label | Kesting Institute of Hydrodynamics |
| res:I08 | res:country | DE |
| res:I08 | res:institutionType | res:itype-LAB |
| res:I08 | res:parent | res:I07 |
| res:I09 | rdfs:label | Rostval Technical University |
| res:I09 | res:country | NL |
| res:I09 | res:institutionType | res:itype-UNI |
| res:I10 | rdfs:label | Marrow Instruments BV |
| res:I10 | res:country | NL |
| res:I10 | res:institutionType | res:itype-CO |
| res:I11 | rdfs:label | Brevin Ocean Agency |
| res:I11 | res:country | FR |
| res:I11 | res:institutionType | res:itype-GOV |
| res:I12 | rdfs:label | Université de Lorvain |
| res:I12 | res:country | FR |
| res:I12 | res:institutionType | res:itype-UNI |
| res:I13 | rdfs:label | Dunmore College |
| res:I13 | res:country | GB |
| res:I13 | res:institutionType | res:itype-UNI |
| res:I14 | rdfs:label | Oskel Polytechnic |
| res:I14 | res:country | NL |
| res:I14 | res:institutionType | res:itype-UNI |
| res:I15 | rdfs:label | Carrow State University |
| res:I15 | res:country | US |
| res:I15 | res:institutionType | res:itype-UNI |
| res:I16 | rdfs:label | Hoshimine Institute of Technology |
| res:I16 | res:country | JP |
| res:I16 | res:institutionType | res:itype-UNI |
| res:I17 | rdfs:label | Université de Mallois |
| res:I17 | res:country | CA |
| res:I17 | res:institutionType | res:itype-UNI |
| res:I18 | rdfs:label | Universidad de Ventolera |
| res:I18 | res:country | ES |
| res:I18 | res:institutionType | res:itype-UNI |
| res:I19 | rdfs:label | Albury Laboratory for Acoustic Imaging |
| res:I19 | res:country | GB |
| res:I19 | res:institutionType | res:itype-LAB |
| res:I19 | res:parent | res:I02 |
| res:I20 | rdfs:label | Albury Metropolitan Centre for Port Studies |
| res:I20 | res:country | GB |
| res:I20 | res:institutionType | res:itype-LAB |
| res:I20 | res:parent | res:I05 |
| res:I21 | rdfs:label | Wexcombe Institute for Estuary Research |
| res:I21 | res:country | GB |
| res:I21 | res:institutionType | res:itype-AFF |
| res:I21 | res:parent | res:I05 |
| res:I22 | rdfs:label | Sandhaven Institute for Wave Research |
| res:I22 | res:country | DE |
| res:I22 | res:institutionType | res:itype-AFF |
| res:I22 | res:parent | res:I07 |
| res:I23 | rdfs:label | Rostval Laboratory for Offshore Structures |
| res:I23 | res:country | NL |
| res:I23 | res:institutionType | res:itype-LAB |
| res:I23 | res:parent | res:I09 |
| res:I24 | rdfs:label | Pellmore University |
| res:I24 | res:country | US |
| res:I24 | res:institutionType | res:itype-UNI |
(73 more rows not shown)

Run more queries, or give the final answers.

The model

<invoke name="sparql">
SELECT ?w ?title ?year ?wt ?src ?ret ?ca ?vo (EXISTS{?w a res:ResearchWork} AS ?rw) WHERE { ?w res:hasPerson res:A01 . OPTIONAL{?w res:title ?title} OPTIONAL{?w res:year ?year} OPTIONAL{?w res:workType ?wt} OPTIONAL{?w res:source ?src} OPTIONAL{?w res:retracted ?ret} OPTIONAL{?w res:countsAs ?ca} OPTIONAL{?w res:versionOf ?vo} } ORDER BY ?w
```

```sparql
SELECT ?a ?w ?au ?pos ?inst ?seq ?t WHERE { VALUES ?w {res:W37 res:W38 res:W08 res:W01 res:W70 res:W71 res:W23} ?a res:work ?w ; a ?t ; res:author ?au . OPTIONAL{?a res:institution ?inst} OPTIONAL{?a res:authorPosition ?pos} OPTIONAL{?a res:affiliationSeq ?seq} } ORDER BY ?w ?a
```

```sparql
SELECT ?s ?name ?country ?parent ?type (GROUP_CONCAT(STRAFTER(STR(?ct),"research/");separator=",") AS ?ct) WHERE { ?s a res:Institution ; rdfs:label ?name . OPTIONAL{?s res:country ?country} OPTIONAL{?s res:parent ?parent} OPTIONAL{?s res:ultimateParent ?type} OPTIONAL{?s res:countsTowards ?ct} } GROUP BY ?s ?name ?country ?parent ?type ORDER BY ?s
```

```sparql
SELECT ?s ?name ?tier ?rank ?st WHERE { ?s a res:Source ; rdfs:label ?name . OPTIONAL{?s res:tier ?tier} OPTIONAL{?s res:tierRank ?rank} OPTIONAL{?s res:sourceType ?st} } ORDER BY ?s
```


<invoke name="sparql">
SELECT ?w ?title ?year ?wt ?src ?ret ?ca (EXISTS{?w a res:ResearchWork} AS ?rw) WHERE { VALUES ?w {res:W02 res:W30 res:W31 res:W32 res:W23 res:W70 res:W71 res:W37 res:W38} OPTIONAL{?w res:title ?title} OPTIONAL{?w res:year ?year} OPTIONAL{?w res:workType ?wt} OPTIONAL{?w res:source ?src} OPTIONAL{?w res:retracted ?ret} OPTIONAL{?w res:countsAs ?ca} } ORDER BY ?w
```

Query results

Query 1:

| a | w | au | pos | inst | seq | t |
|---|---|---|---|---|---|---|
| res:AS-W01-A01-1 | res:W01 | res:A01 | 1 | res:I02 | 1 | res:Authorship |
| res:AS-W01-A01-1 | res:W01 | res:A01 | 1 | res:I02 | 1 | res:CreditedAuthorship |
| res:AS-W01-A07-1 | res:W01 | res:A07 | 2 | res:I03 | 1 | res:Authorship |
| res:AS-W01-A07-1 | res:W01 | res:A07 | 2 | res:I03 | 1 | res:CreditedAuthorship |
| res:AS-W08-A04-1 | res:W08 | res:A04 | 1 | res:I07 | 1 | res:Authorship |
| res:AS-W08-A04-1 | res:W08 | res:A04 | 1 | res:I07 | 1 | res:CreditedAuthorship |
| res:AS-W23-A09-1 | res:W23 | res:A09 | 1 | res:I07 | 1 | res:Authorship |
| res:AS-W23-A09-1 | res:W23 | res:A09 | 1 | res:I07 | 1 | res:CreditedAuthorship |
| res:AS-W37-A05-1 | res:W37 | res:A05 | 1 | res:I05 | 1 | res:Authorship |
| res:AS-W37-A05-1 | res:W37 | res:A05 | 1 | res:I05 | 1 | res:CreditedAuthorship |
| res:AS-W38-A06-1 | res:W38 | res:A06 | 1 | res:I12 | 1 | res:Authorship |
| res:AS-W38-A06-1 | res:W38 | res:A06 | 1 | res:I12 | 1 | res:CreditedAuthorship |
| res:AS-W70-A08-1 | res:W70 | res:A08 | 1 | res:I04 | 1 | res:Authorship |
| res:AS-W70-A08-2 | res:W70 | res:A08 | 1 | res:I06 | 2 | res:Authorship |
| res:AS-W70-A08-2 | res:W70 | res:A08 | 1 | res:I06 | 2 | res:CreditedAuthorship |
| res:AS-W71-A08-1 | res:W71 | res:A08 | 1 | res:I06 | 1 | res:Authorship |
| res:AS-W71-A08-2 | res:W71 | res:A08 | 1 | res:I04 | 2 | res:Authorship |
| res:AS-W71-A08-2 | res:W71 | res:A08 | 1 | res:I04 | 2 | res:CreditedAuthorship |

Query 2:

| s | name | country | parent | type | ct |
|---|---|---|---|---|---|
| res:I01 | Albury University System | GB |  | res:I01 | I01 |
| res:I02 | University of Albury | GB | res:I01 | res:I01 | I01,I02 |
| res:I03 | Albury Centre for Marine Robotics | GB | res:I02 | res:I01 | I01,I02,I03 |
| res:I04 | Tessel Laboratory for Ocean Sensing | GB | res:I03 | res:I01 | I01,I02,I03,I04 |
| res:I05 | Albury Metropolitan University | GB | res:I01 | res:I01 | I01,I05 |
| res:I06 | Halloran Institute for Coastal Studies | GB | res:I02 | res:I06 | I06 |
| res:I07 | Kesting University | DE |  | res:I07 | I07 |
| res:I08 | Kesting Institute of Hydrodynamics | DE | res:I07 | res:I07 | I07,I08 |
| res:I09 | Rostval Technical University | NL |  | res:I09 | I09 |
| res:I10 | Marrow Instruments BV | NL |  | res:I10 | I10 |
| res:I11 | Brevin Ocean Agency | FR |  | res:I11 | I11 |
| res:I12 | Université de Lorvain | FR |  | res:I12 | I12 |
| res:I13 | Dunmore College | GB |  | res:I13 | I13 |
| res:I14 | Oskel Polytechnic | NL |  | res:I14 | I14 |
| res:I15 | Carrow State University | US |  | res:I15 | I15 |
| res:I16 | Hoshimine Institute of Technology | JP |  | res:I16 | I16 |
| res:I17 | Université de Mallois | CA |  | res:I17 | I17 |
| res:I18 | Universidad de Ventolera | ES |  | res:I18 | I18 |
| res:I19 | Albury Laboratory for Acoustic Imaging | GB | res:I02 | res:I01 | I01,I02,I19 |
| res:I20 | Albury Metropolitan Centre for Port Studies | GB | res:I05 | res:I01 | I01,I05,I20 |
| res:I21 | Wexcombe Institute for Estuary Research | GB | res:I05 | res:I21 | I21 |
| res:I22 | Sandhaven Institute for Wave Research | DE | res:I07 | res:I22 | I22 |
| res:I23 | Rostval Laboratory for Offshore Structures | NL | res:I09 | res:I09 | I09,I23 |
| res:I24 | Pellmore University | US |  | res:I24 | I24 |
| res:I25 | Università di Calvessa | IT |  | res:I25 | I25 |
| res:I26 | Tarnowa University of Technology | PL |  | res:I26 | I26 |
| res:I27 | Kirrabay University | AU |  | res:I27 | I27 |
| res:I28 | Nordvik University | NO |  | res:I28 | I28 |
| res:I29 | Hanseo Ocean Institute | KR |  | res:I29 | I29 |
| res:I30 | Universidade de Arvela | PT |  | res:I30 | I30 |
| res:I31 | Corrimal Marine Systems Inc | US |  | res:I31 | I31 |

Query 3:

| s | name | tier | rank | st |
|---|---|---|---|---|
| res:S01 | Journal of Marine Autonomy | res:tier-K3 |  | res:stype-JOU |
| res:S02 | Ocean Sensing Letters | res:tier-K2 |  | res:stype-JOU |
| res:S03 | Coastal Engineering Review | res:tier-K1 |  | res:stype-JOU |
| res:S04 | Global Marine Science Reports | res:tier-K0 |  | res:stype-JOU |
| res:S05 | OceanArXiv |  |  | res:stype-REP |
| res:S06 | Proceedings of the Hydrodynamics Forum | res:tier-K2 |  | res:stype-JOU |
| res:S07 | Journal of Estuarine Dynamics | res:tier-K2 |  | res:stype-JOU |
| res:S08 | Hydrology Notes | res:tier-K1 |  | res:stype-JOU |
| res:S09 | Journal of Coastal Hydraulics | res:tier-K2 |  | res:stype-JOU |
| res:S10 | Marine Technology Bulletin | res:tier-K1 |  | res:stype-JOU |
| res:S11 | Annals of Ocean Observation | res:tier-K2 |  | res:stype-JOU |
| res:S12 | Shelf Sea Letters | res:tier-K1 |  | res:stype-JOU |
| res:S13 | International Journal of Ocean Frontiers | res:tier-K0 |  | res:stype-JOU |
| res:S14 | CoastRxiv |  |  | res:stype-REP |

Run more queries, or give the final answers.

The model

```sparql
SELECT ?w ?title ?year ?wt ?src ?ret ?ca (EXISTS{?w a res:ResearchWork} AS ?rw) WHERE { ?w res:hasPerson res:A01 . OPTIONAL{?w res:title ?title} OPTIONAL{?w res:year ?year} OPTIONAL{?w res:workType ?wt} OPTIONAL{?w res:source ?src} OPTIONAL{?w res:retracted ?ret} OPTIONAL{?w res:countsAs ?ca} } ORDER BY ?w
```

```sparql
SELECT ?w ?title ?year ?wt ?src ?ret ?ca ?vo (EXISTS{?w a res:ResearchWork} AS ?rw) WHERE { VALUES ?w {res:W02 res:W30 res:W31 res:W32 res:W33 res:W23 res:W70 res:W71 res:W37 res:W38} OPTIONAL{?w res:title ?title} OPTIONAL{?w res:year ?year} OPTIONAL{?w res:workType ?wt} OPTIONAL{?w res:source ?src} OPTIONAL{?w res:retracted ?ret} OPTIONAL{?w res:countsAs ?ca} OPTIONAL{?w res:versionOf ?vo} } ORDER BY ?w
```

```sparql
SELECT ?c ?citing ?cited WHERE { ?c a res:Citation ; res:citingWork ?citing ; res:citedWork ?cited . FILTER(?cited IN (res:W01,res:W02,res:W03,res:W30,res:W31) || ?citing IN (res:W30,res:W31)) } ORDER BY ?cited ?citing
```

```sparql
SELECT ?w ?v WHERE { ?w res:versionOf ?v } ORDER BY ?w
```

Query results

Query 1 failed: What do I do with this CompValue? GroupGraphPatternSub_GroupGraphPatternSub_{'part': [TriplesBlock_{'triples': [[rdflib.term.Variable('w'), PathAlternative_{'part': [PathSequence_{'part': [PathElt_{'part': rdflib.term.URIRef('http://www.w3.org/1999/02/22-rdf-syntax-ns#type'), '_vars': set()}], '_var

Query 2 failed: What do I do with this CompValue? GroupGraphPatternSub_GroupGraphPatternSub_{'part': [TriplesBlock_{'triples': [[rdflib.term.Variable('w'), PathAlternative_{'part': [PathSequence_{'part': [PathElt_{'part': rdflib.term.URIRef('http://www.w3.org/1999/02/22-rdf-syntax-ns#type'), '_vars': set()}], '_var

Query 3:

| c | citing | cited |
|---|---|---|
| res:C-W229-W01 | res:W229 | res:W01 |
| res:C-W40-W01 | res:W40 | res:W01 |
| res:C-W41-W01 | res:W41 | res:W01 |
| res:C-W602-W01 | res:W602 | res:W01 |
| res:C-W657-W01 | res:W657 | res:W01 |
| res:C-W660-W01 | res:W660 | res:W01 |
| res:C-W844-W01 | res:W844 | res:W01 |
| res:C-W895-W01 | res:W895 | res:W01 |
| res:C-W1048-W02 | res:W1048 | res:W02 |
| res:C-W15-W02 | res:W15 | res:W02 |
| res:C-W18-W02 | res:W18 | res:W02 |
| res:C-W315-W02 | res:W315 | res:W02 |
| res:C-W397-W02 | res:W397 | res:W02 |
| res:C-W535-W02 | res:W535 | res:W02 |
| res:C-W544-W02 | res:W544 | res:W02 |
| res:C-W558-W02 | res:W558 | res:W02 |
| res:C-W843-W02 | res:W843 | res:W02 |
| res:C-W1056-W03 | res:W1056 | res:W03 |
| res:C-W12-W03 | res:W12 | res:W03 |
| res:C-W13-W03 | res:W13 | res:W03 |
| res:C-W14-W03 | res:W14 | res:W03 |
| res:C-W15-W03 | res:W15 | res:W03 |
| res:C-W16-W03 | res:W16 | res:W03 |
| res:C-W17-W03 | res:W17 | res:W03 |
| res:C-W214-W03 | res:W214 | res:W03 |
| res:C-W273-W03 | res:W273 | res:W03 |
| res:C-W315-W03 | res:W315 | res:W03 |
| res:C-W349-W03 | res:W349 | res:W03 |
| res:C-W397-W03 | res:W397 | res:W03 |
| res:C-W535-W03 | res:W535 | res:W03 |
| res:C-W569-W03 | res:W569 | res:W03 |
| res:C-W598-W03 | res:W598 | res:W03 |
| res:C-W676-W03 | res:W676 | res:W03 |
| res:C-W711-W03 | res:W711 | res:W03 |
| res:C-W748-W03 | res:W748 | res:W03 |
| res:C-W761-W03 | res:W761 | res:W03 |
| res:C-W812-W03 | res:W812 | res:W03 |
| res:C-W833-W03 | res:W833 | res:W03 |
| res:C-W843-W03 | res:W843 | res:W03 |
| res:C-W889-W03 | res:W889 | res:W03 |
| res:C-W890-W03 | res:W890 | res:W03 |
| res:C-W931-W03 | res:W931 | res:W03 |
| res:C-W973-W03 | res:W973 | res:W03 |
| res:C-W1033-W30 | res:W1033 | res:W30 |
| res:C-W246-W30 | res:W246 | res:W30 |
| res:C-W274-W30 | res:W274 | res:W30 |
| res:C-W276-W30 | res:W276 | res:W30 |
| res:C-W289-W30 | res:W289 | res:W30 |
| res:C-W320-W30 | res:W320 | res:W30 |
| res:C-W334-W30 | res:W334 | res:W30 |
| res:C-W439-W30 | res:W439 | res:W30 |
| res:C-W60-W30 | res:W60 | res:W30 |
| res:C-W61-W30 | res:W61 | res:W30 |
| res:C-W62-W30 | res:W62 | res:W30 |
| res:C-W63-W30 | res:W63 | res:W30 |
| res:C-W64-W30 | res:W64 | res:W30 |
| res:C-W856-W30 | res:W856 | res:W30 |
| res:C-W878-W30 | res:W878 | res:W30 |
| res:C-W894-W30 | res:W894 | res:W30 |
| res:C-W988-W30 | res:W988 | res:W30 |
(11 more rows not shown)

Query 4:

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

Run more queries, or give the final answers.

The model

```sparql
SELECT ?i (COUNT(DISTINCT ?w) AS ?n) (COUNT(DISTINCT ?w2024) AS ?n24) (COUNT(DISTINCT ?w2025) AS ?n25) WHERE { ?w a res:ResearchWork ; res:creditedInstitution ?i ; res:year ?y . BIND(IF(?y=2024,?w,?unb) AS ?w2024) BIND(IF(?y=2025,?w,?unb2) AS ?w2025) } GROUP BY ?i ORDER BY ?i
```

```sparql
SELECT ?w ?title ?year ?wt ?src ?ret ?ca ?rw WHERE { ?w res:hasPerson res:A01 . OPTIONAL{?w res:title ?title} OPTIONAL{?w res:year ?year} OPTIONAL{?w res:workType ?wt} OPTIONAL{?w res:source ?src} OPTIONAL{?w res:retracted ?ret} OPTIONAL{?w res:countsAs ?ca} OPTIONAL{?w a ?rw . FILTER(?rw=res:ResearchWork)} } ORDER BY ?w
```

```sparql
SELECT ?w ?title ?year ?wt ?src ?ret ?ca ?vo ?rw WHERE { VALUES ?w {res:W02 res:W30 res:W31 res:W42 res:W23 res:W70 res:W71 res:W37 res:W38 res:W07} OPTIONAL{?w res:title ?title} OPTIONAL{?w res:year ?year} OPTIONAL{?w res:workType ?wt} OPTIONAL{?w res:source ?src} OPTIONAL{?w res:retracted ?ret} OPTIONAL{?w res:countsAs ?ca} OPTIONAL{?w res:versionOf ?vo} OPTIONAL{?w a ?rw . FILTER(?rw=res:ResearchWork)} } ORDER BY ?w
```

```sparql
SELECT ?src (COUNT(DISTINCT ?w) AS ?n) (COUNT(DISTINCT ?w24) AS ?n24) WHERE { ?w a res:ResearchWork ; res:source ?src ; res:year ?y . BIND(IF(?y=2024,?w,?u) AS ?w24) } GROUP BY ?src ORDER BY ?src
```

Query results

Query 1:

| 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:I10 | 12 | 0 | 0 |
| res:I11 | 38 | 0 | 0 |
| res:I12 | 64 | 0 | 0 |
| res:I13 | 39 | 0 | 0 |
| res:I14 | 45 | 0 | 0 |
| res:I15 | 59 | 0 | 0 |
| res:I16 | 81 | 0 | 0 |
| res:I17 | 85 | 0 | 0 |
| res:I18 | 63 | 0 | 0 |
| res:I19 | 26 | 0 | 0 |
| res:I20 | 15 | 0 | 0 |
| res:I21 | 8 | 0 | 0 |
| res:I22 | 9 | 0 | 0 |
| res:I23 | 9 | 0 | 0 |
| res:I24 | 56 | 0 | 0 |
| res:I25 | 30 | 0 | 0 |
| res:I26 | 40 | 0 | 0 |
| res:I27 | 23 | 0 | 0 |
| res:I28 | 27 | 0 | 0 |
| res:I29 | 21 | 0 | 0 |
| res:I30 | 52 | 0 | 0 |
| res:I31 | 38 | 0 | 0 |

Query 2:

| w | title | year | wt | src | ret | ca | rw |
|---|---|---|---|---|---|---|---|
| res:W01 | Adaptive path planning for underwater gliders | 2021 | res:wtype-ART | res:S01 | false | res:W01 | res:ResearchWork |
| res:W03 | Drift-aware mapping with low-cost sonar | 2023 | res:wtype-ART | res:S02 | false | res:W03 | res:ResearchWork |
| res:W04 | Editorial: a new decade of marine autonomy | 2023 | res:wtype-EDT | res:S01 | false | res:W04 |  |
| res:W05 | Erratum: Drift-aware mapping with low-cost sonar | 2024 | res:wtype-ERR | res:S02 | false | res:W05 |  |
| res:W06 | Shoreline change detection from glider transects | 2024 | res:wtype-ART | res:S03 | false | res:W06 | res:ResearchWork |
| res:W07 | Low-cost sonar arrays for coastal monitoring | 2020 | res:wtype-ART | res:S04 | false | res:W07 |  |
| res:W1005 | Remote sensing of buoy telemetry in fjords | 2025 | res:wtype-ART | res:S02 | false | res:W1005 | res:ResearchWork |
| res:W1048 | Long-term trends in fleet coordination in shallow channels | 2023 | res:wtype-ART | res:S10 | false | res:W1048 | res:ResearchWork |
| res:W1050 | Low-cost methods for glider navigation in the Wexcombe marshes | 2024 | res:wtype-ART | res:S09 | false | res:W1050 | res:ResearchWork |
| res:W12 | Sonar mosaics from glider fleets | 2024 | res:wtype-ART | res:S02 | false | res:W12 | res:ResearchWork |
| res:W19 | Glider-borne turbidity sensing | 2025 | res:wtype-ART | res:S02 | false | res:W19 | res:ResearchWork |
| res:W206 | Observations of buoy telemetry in a semi-enclosed sea | 2020 | res:wtype-ART | res:S01 | false | res:W206 | res:ResearchWork |
| res:W238 | Observations of survey vessel autonomy in tidal inlets | 2023 | res:wtype-ART | res:S02 | false | res:W238 | res:ResearchWork |
| res:W271 | Editorial: battery endurance | 2019 | res:wtype-EDT | res:S01 | false | res:W271 |  |
| res:W374 | Machine learning for underwater docking in the open shelf | 2023 | res:wtype-ART | res:S02 | true | res:W374 |  |
| res:W449 | Machine learning for glider navigation | 2022 | res:wtype-ART | res:S04 | false | res:W449 |  |
| res:W464 | A framework for turbidity sensing | 2021 | res:wtype-ART | res:S09 | false | res:W464 | res:ResearchWork |
| res:W555 | A model of underwater docking in a macrotidal bay | 2020 | res:wtype-ART | res:S09 | false | res:W555 | res:ResearchWork |
| res:W676 | Low-cost methods for turbidity sensing | 2025 | res:wtype-ART | res:S02 | false | res:W676 | res:ResearchWork |
| res:W763 | A model of glider navigation in a macrotidal bay | 2024 | res:wtype-ART | res:S13 | false | res:W763 |  |
| res:W813 | Erratum: Remote sensing of buoy telemetry in fjords | 2025 | res:wtype-ERR | res:S02 | false | res:W813 |  |
| res:W817 | Remote sensing of survey vessel autonomy in the Brevin shelf | 2023 | res:wtype-ART | res:S10 | false | res:W817 | res:ResearchWork |
| res:W843 | A framework for ocean optics in the Albury estuary | 2023 | res:wtype-ART | res:S02 | false | res:W843 | res:ResearchWork |
| res:W869 | A model of survey vessel autonomy in mixed-energy coasts | 2023 | res:wtype-ART | res:S02 | false | res:W869 | res:ResearchWork |
| res:W905 | Machine learning for battery endurance in a laboratory flume | 2025 | res:wtype-ART | res:S01 | false | res:W905 | res:ResearchWork |
| res:W936 | Editorial: fleet coordination | 2019 | res:wtype-EDT | res:S01 | false | res:W936 |  |
| res:W949 | Erratum: Observations of survey vessel autonomy in tidal inlets | 2024 | res:wtype-ERR | res:S02 | false | res:W949 |  |
| res:W972 | Long-term trends in acoustic positioning | 2020 | res:wtype-ART | res:S02 | false | res:W972 | res:ResearchWork |
| res:W984 | A model of survey vessel autonomy | 2024 | res:wtype-ART | res:S01 | false | res:W984 | res:ResearchWork |

Query 3:

| w | title | year | wt | src | ret | ca | vo | rw |
|---|---|---|---|---|---|---|---|---|
| res:W02 | Drift-aware mapping with low-cost sonar | 2022 | res:wtype-PPR | res:S05 | false | res:W03 | res:W03 |  |
| res:W07 | Low-cost sonar arrays for coastal monitoring | 2020 | res:wtype-ART | res:S04 | false | res:W07 |  |  |
| res:W23 | Anomalous dissipation in estuarine plumes | 2023 | res:wtype-ART | res:S02 | true | res:W23 |  |  |
| res:W30 | Tidal stream resource maps for the Dunmore coast | 2019 | res:wtype-ART | res:S03 | false | res:W30 |  | res:ResearchWork |
| res:W31 | Machine-learned tidal forecasts | 2023 | res:wtype-ART | res:S01 | false | res:W31 |  | res:ResearchWork |
| res:W37 | Port traffic and seabed disturbance | 2022 | res:wtype-ART | res:S03 | false | res:W37 |  | res:ResearchWork |
| res:W38 | Seagrass mapping from aerial imagery | 2023 | res:wtype-ART | res:S02 | false | res:W38 |  | res:ResearchWork |
| res:W42 | Machine-learned tidal forecasts | 2023 | res:wtype-PPR | res:S05 | false | res:W31 | res:W31 |  |
| res:W70 | Optical backscatter in turbid estuaries | 2023 | res:wtype-ART | res:S02 | false | res:W70 |  | res:ResearchWork |
| res:W71 | Low-power optical sensors for gliders | 2024 | res:wtype-ART | res:S01 | false | res:W71 |  | res:ResearchWork |

Query 4:

| src | n | n24 |
|---|---|---|
| res:S01 | 88 | 0 |
| res:S02 | 110 | 0 |
| res:S03 | 103 | 0 |
| res:S05 | 6 | 0 |
| res:S06 | 36 | 0 |
| res:S07 | 48 | 0 |
| res:S08 | 50 | 0 |
| res:S09 | 78 | 0 |
| res:S10 | 73 | 0 |
| res:S11 | 78 | 0 |
| res:S12 | 37 | 0 |
| res:S14 | 5 | 0 |

Run more queries, or give the final answers.

The model

```sparql
SELECT ?a (COUNT(DISTINCT ?w) AS ?n) WHERE { VALUES (?a ?b) {(res:A05 res:A104) (res:A07 res:A07) (res:A09 res:A103) (res:A01 res:A101)} ?w a res:ResearchWork ; res:hasPerson ?p . FILTER(?p=?a || ?p=?b) } GROUP BY ?a
```

```sparql
SELECT (COUNT(DISTINCT ?w) AS ?nw) (COUNT(?c) AS ?cites) WHERE { ?w a res:ResearchWork ; res:hasPerson ?p . FILTER(?p IN (res:A09,res:A103)) OPTIONAL{?c res:cites ?w} }
```

```sparql
SELECT ?x ?p ?o WHERE { {?x res:work res:W02 . ?x ?p ?o} UNION {?x res:tierRank ?o . BIND(res:tierRank AS ?p)} }
```

```sparql
SELECT ?a (COUNT(DISTINCT ?w) AS ?n) WHERE { ?w a res:ResearchWork ; res:creditedInstitution res:I02 . ?ca a res:CreditedAuthorship ; res:work ?w ; res:author ?a ; res:institution ?i . ?i res:countsTowards res:I02 } GROUP BY ?a ORDER BY DESC(?n) LIMIT 12
```

```sparql
SELECT ?i (COUNT(DISTINCT ?w) AS ?full) (SUM(?sh) AS ?frac) WHERE { { SELECT ?w ?i (COUNT(DISTINCT ?au) AS ?k) WHERE { VALUES ?i {res:I07 res:I09} ?w a res:ResearchWork ; res:year ?y . FILTER(STR(?y)="2024") ?ca a res:CreditedAuthorship ; res:work ?w ; res:author ?au ; res:institution ?ii . ?ii res:countsTowards ?i } GROUP BY ?w ?i } { SELECT ?w (COUNT(DISTINCT ?p) AS ?n) WHERE { ?w res:hasPerson ?p } GROUP BY ?w } BIND(?k/?n AS ?sh) } GROUP BY ?i
```

```sparql
SELECT (COUNT(DISTINCT ?w) AS ?full) (SUM(?sh) AS ?frac) WHERE { { SELECT ?w (COUNT(DISTINCT ?au) AS ?k) WHERE { ?w a res:ResearchWork ; res:year ?y . FILTER(STR(?y)="2024") ?ca a res:CreditedAuthorship ; res:work ?w ; res:author ?au ; res:institution ?ii . ?ii res:country ?cc . FILTER(STR(?cc)="GB") } GROUP BY ?w } { SELECT ?w (COUNT(DISTINCT ?p) AS ?n) WHERE { ?w res:hasPerson ?p } GROUP BY ?w } BIND(?k/?n AS ?sh) }
```

```sparql
SELECT (COUNT(DISTINCT ?a) AS ?q15) (COUNT(DISTINCT ?b) AS ?q34) WHERE { {?a a res:ResearchWork ; res:source res:S02 ; res:year ?y . FILTER(STR(?y)="2024")} UNION {?b a res:ResearchWork ; res:creditedInstitution res:I07 ; res:year ?y2 . FILTER(STR(?y2)="2025")} }
```

```sparql
SELECT ?t (COUNT(DISTINCT ?w) AS ?n) WHERE { ?w a res:ResearchWork ; res:creditedInstitution res:I02 ; res:source ?s . ?s res:tier ?t } GROUP BY ?t
```

```sparql
SELECT (COUNT(DISTINCT ?c) AS ?n) (SUM(IF(?sa,1,0)) AS ?selfA) (SUM(IF(?s2,1,0)) AS ?selfI02) (SUM(IF(?s1,1,0)) AS ?selfI01) (SUM(IF(?sc,1,0)) AS ?selfC) WHERE { ?c res:cites res:W03 . BIND(EXISTS{?c res:hasPerson ?p . res:W03 res:hasPerson ?p} AS ?sa) BIND((EXISTS{?c res:creditedInstitution res:I02} && EXISTS{res:W03 res:creditedInstitution res:I02}) AS ?s2) BIND((EXISTS{?c res:creditedInstitution res:I01} && EXISTS{res:W03 res:creditedInstitution res:I01}) AS ?s1) BIND(EXISTS{?c res:creditedCountry ?k . res:W03 res:creditedCountry ?k} AS ?sc) }
```

```sparql
SELECT (COUNT(DISTINCT ?c) AS ?n) WHERE { ?cit res:citedWork ?x ; res:citingWork ?c . FILTER(?x IN (res:W02,res:W03)) }
```

```sparql
SELECT ?w ?v ?wt ?t WHERE { ?w res:versionOf ?v . ?v res:title ?t . OPTIONAL{?w res:workType ?wt} } ORDER BY ?w
```

```sparql
SELECT ?t (COUNT(DISTINCT ?c) AS ?tot) (COUNT(DISTINCT ?cw) AS ?win) WHERE { VALUES (?t ?y0) {(res:W30 2019) (res:W31 2023)} ?c res:cites ?t ; res:year ?cy . BIND(IF(xsd:integer(STR(?cy)) <= ?y0+2 && xsd:integer(STR(?cy)) >= ?y0, ?c, ?unb) AS ?cw) } GROUP BY ?t
```

```sparql
SELECT ?t (COUNT(DISTINCT ?c) AS ?tot) (COUNT(DISTINCT ?cw) AS ?win) WHERE { VALUES (?x ?t ?y0) {(res:W30 res:W30 2019) (res:W31 res:W31 2023) (res:W42 res:W31 2023)} ?cit res:citedWork ?x ; res:citingWork ?c . ?c res:year ?cy . BIND(IF(xsd:integer(STR(?cy)) <= ?y0+2 && xsd:integer(STR(?cy)) >= ?y0, ?c, ?unb) AS ?cw) } GROUP BY ?t
```

```sparql
SELECT ?i (COUNT(DISTINCT ?c) AS ?n) WHERE { ?w a res:ResearchWork ; res:creditedInstitution res:I07 . ?c res:cites ?w ; res:creditedInstitution ?i . FILTER(?i NOT IN (res:I07,res:I08,res:I22)) } GROUP BY ?i ORDER BY DESC(?n) LIMIT 8
```

```sparql
SELECT ?w (COUNT(DISTINCT ?c) AS ?n) WHERE { ?w a res:ResearchWork ; res:creditedInstitution res:I07 . ?c res:cites ?w } GROUP BY ?w ORDER BY DESC(?n) LIMIT 5
```

```sparql
SELECT ?x (MIN(?l) AS ?lv) WHERE { {?x res:cites res:W01 . BIND(1 AS ?l)} UNION {?y res:cites res:W01 . ?x res:cites ?y . BIND(2 AS ?l)} } GROUP BY ?x ORDER BY ?lv ?x
```

```sparql
SELECT ?w ?i WHERE { VALUES ?w {res:W70 res:W71} ?w res:creditedInstitution ?i } ORDER BY ?w ?i
```

Query results

Query 1:

| a | n |
|---|---|
| res:A05 | 9 |
| res:A07 | 15 |
| res:A09 | 12 |
| res:A01 | 19 |

Query 2:

| nw | cites |
|---|---|
| 12 | 20 |

Query 3:

| x | p | o |
|---|---|---|
| res:AS-W02-A02-1 | rdf:type | res:Authorship |
| res:AS-W02-A02-1 | rdf:type | res:CreditedAuthorship |
| 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 | rdf:type | res:CreditedAuthorship |
| 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:tier-K3 | res:tierRank | 1 |
| res:tier-K1 | res:tierRank | 3 |
| res:tier-K2 | res:tierRank | 2 |

Query 4:

| a | n |
|---|---|
| res:A07 | 15 |
| res:A110 | 14 |
| res:A118 | 14 |
| res:A111 | 10 |
| res:A125 | 10 |
| res:A123 | 9 |
| res:A113 | 8 |
| res:A114 | 8 |
| res:A01 | 7 |
| res:A122 | 7 |
| res:A117 | 7 |
| res:A120 | 7 |

Query 5:

| i | full | frac |
|---|---|---|
| res:I07 | 13 | 11.00000000000000000000000000 |
| res:I09 | 16 | 4.00 |

Query 6:

| full | frac |
|---|---|
| 46 | 42.00000000000000000000000001 |

Query 7:

| q15 | q34 |
|---|---|
| 25 | 7 |

Query 8:

| t | n |
|---|---|
| res:tier-K2 | 49 |
| res:tier-K1 | 26 |
| res:tier-K3 | 19 |

Query 9:

| n | selfA | selfI02 | selfI01 | selfC |
|---|---|---|---|---|
| 27 | 7 | 10 | 14 | 20 |

Query 10:

| n |
|---|
| 30 |

Query 11:

| w | v | wt | t |
|---|---|---|---|
| res:W02 | res:W03 | res:wtype-PPR | Drift-aware mapping with low-cost sonar |
| res:W1049 | res:W789 | res:wtype-PPR | Field measurements of tidal mixing |
| res:W210 | res:W902 | res:wtype-PPR | Low-cost methods for estuarine salinity |
| res:W219 | res:W251 | res:wtype-PPR | Remote sensing of sensor calibration |
| res:W226 | res:W710 | res:wtype-PPR | Uncertainty in estuarine plumes estimates |
| res:W263 | res:W279 | res:wtype-PPR | Low-cost methods for storm surge in shallow channels |
| res:W322 | res:W453 | res:wtype-PPR | A framework for fleet coordination |
| res:W407 | res:W1027 | res:wtype-PPR | Low-cost methods for bed shear stress in fjords: a review |
| res:W416 | res:W640 | res:wtype-PPR | Uncertainty in turbidity sensing estimates in a semi-enclosed sea |
| res:W42 | res:W31 | res:wtype-PPR | Machine-learned tidal forecasts |
| res:W432 | res:W879 | res:wtype-PPR | Revisiting tidal asymmetry in tidal inlets |
| res:W460 | res:W496 | res:wtype-PPR | Low-cost methods for sensor calibration |
| res:W506 | res:W422 | res:wtype-PPR | Remote sensing of coastal upwelling |
| res:W522 | res:W312 | res:wtype-PPR | Observations of estuarine plumes |
| res:W524 | res:W807 | res:wtype-PPR | Field measurements of harbour seiches in the North Sea |
| res:W545 | res:W742 | res:wtype-PPR | Field measurements of beach profiles |
| res:W556 | res:W1038 | res:wtype-PPR | Low-cost methods for marsh accretion |
| res:W611 | res:W301 | res:wtype-PPR | A framework for wave boundary layers in shallow channels |
| res:W612 | res:W869 | res:wtype-PPR | A model of survey vessel autonomy in mixed-energy coasts |
| res:W663 | res:W464 | res:wtype-PPR | A framework for turbidity sensing |
| res:W728 | res:W665 | res:wtype-PPR | Uncertainty in wave boundary layers estimates |
| res:W730 | res:W303 | res:wtype-PPR | A framework for tidal asymmetry in the Albury estuary |
| res:W877 | res:W965 | res:wtype-PPR | A model of breaking waves in the North Sea |

Query 12:

| t | tot | win |
|---|---|---|
| res:W30 | 16 | 2 |
| res:W31 | 11 | 11 |

Query 13:

| t | tot | win |
|---|---|---|
| res:W30 | 18 | 2 |
| res:W31 | 13 | 13 |

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 |

Query 15:

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

Query 16:

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

Query 17:

| w | i |
|---|---|
| res:W70 | res:I06 |
| res:W71 | res:I01 |
| res:W71 | res:I02 |
| res:W71 | res:I03 |
| res:W71 | res:I04 |

Run more queries, or give the final answers.

The model

**Q1.** 1. A01, A02 and A03 share ORCID 0000-0002-9841-6229 and are linked by samePersonAs.

**Q2.** 30 works: W01, W02, W03, W04, W05, W06, W07, W12, W19, W206, W238, W271, W374, W449, W464, W555, W676, W763, W813, W817, W843, W869, W905, W936, W949, W972, W984, W1005, W1048, W1050. W02 is included through Authorship AS-W02-A02-1 (A02), although it has no hasPerson link.

**Q3.** No. W37's Jonas Brandt is A05 and W38's is A06, with different ORCIDs and no samePersonAs link.

**Q4.** 9 research works, counting A05 together with its linked record A104.

**Q5.** No. The M. Ellison on W08 is A04, whose ORCID differs from A01's and who has no samePersonAs link.

**Q6.** A07, with 15 research works credited to I02 and its units.

**Q7.** 19.

**Q8.** I01.

**Q9.** 95.

**Q10.** 140.

**Q11.** 59.

**Q12.** Full counting gives 13 and fractional counting gives 11.

**Q13.** Full counting favours I09 (16 against 13). Fractional counting favours I07 (11 against 4).

**Q14.** Full counting gives 46 and fractional counting gives 42.

**Q15.** 25.

**Q16.** 88.

**Q17.** W04, W271 and W936 are editorials. W05, W813 and W949 are errata.

**Q18.** 15.

**Q19.** 30 distinct citing works, across W02 and W03.

**Q20.** The 23 preprints with a published version in the data are listed in the JSON below.

**Q21.** 45.

**Q22.** W30 has more in total, while W31 has more within its publication year and the two years after (W31 counted 11 against 2 using res:cites).

**Q23.** W30 has 16 citations in total and 2 in the window. The raw Citation records show 18, so the two counts differ. I used the derived res:cites links, which are the citations that count.

**Q24.** 12.

**Q25.** 20.

**Q26.** No. W23 is retracted, so it is not a research work.

**Q27.** I12, with 12 citing works.

**Q28.** 4.

**Q29.** Author level 7, institution level 10, country level 20.

**Q30.** 14.

**Q31.** Ten works: W50, W51, W52, W337, W338, W396, W546, W682, W801, W1042.

**Q32.** 17 (7 direct citers and 10 second-hop citers).

**Q33.** W20, with 13 citations.

**Q34.** 7.

**Q35.** 25.

**Q36.** 36.

**Q37.** I06. Only AS-W70-A08-2 is credited on W70, and it names I06.

**Q38.** I01, I02, I03 and I04, through W71's credited authorship at I04.

**Q39.** 19.

**Q40.** S01, which is in tier K3 (rank 1).

**Q41.** No. S03 is in K1 (rank 3) and S02 is in K2 (rank 2), so S03 is lower.

**Q42.** 0. No work in the K0-tier S04 is a research work.

**Q43.** No. W07 is not in the ResearchWork class; it appeared in the K0-tier S04, which I infer is why it does not count.

**Q44.** I02, I03, I04, I05, I19 and I20. I06 and I21 are not included, since their ultimate parent is themselves and they do not count towards I01.

**Q45.** 16.

**Q46.** I06 is its own ultimate parent, even though its parent is listed as I02.

**Q47.** I09 has more works, but its authors are mostly at other institutions, so its fractional share is small (4). I07's works are mostly authored by its own people (11).

**Q48.** W70's credited authorship is only the I06 line. The I04 line is an Authorship record that was not carried into the credited institutions, and I06 does not count towards I02.

```json
{"Q1":{"count":1},
"Q2":{"works":["W01","W02","W03","W04","W05","W06","W07","W12","W19","W206","W238","W271","W374","W449","W464","W555","W676","W763","W813","W817","W843","W869","W905","W936","W949","W972","W984","W1005","W1048","W1050"]},
"Q3":{"same":"no"},
"Q4":{"count":9},
"Q5":{"same":"no"},
"Q6":{"author":"A07"},
"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":30},
"Q20":{"works":["W02","W42","W210","W219","W226","W263","W322","W407","W416","W432","W460","W506","W522","W524","W545","W556","W611","W612","W663","W728","W730","W877","W1049"]},
"Q21":{"count":45},
"Q22":{"more_in_total":"W30","more_in_window":"W31"},
"Q23":{"total":16,"in_window":2},
"Q24":{"count":12},
"Q25":{"count":20},
"Q26":{"counts":"no"},
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```