D4 sparql, run 5: the query session

15 queries0 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

I'll start by exploring the data.

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

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE {
  ?s ?p ?o .
  FILTER(REGEX(STR(?s), "research/W[0-9]+$"))
} 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: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:title | Adaptive path planning for underwater gliders |
| res:W01 | res:workType | res:wtype-ART |
| res:W01 | res:year | 2021 |
| res:W02 | rdf:type | res:Work |
| res:W02 | rdfs:label | Drift-aware mapping with low-cost sonar |
| res:W02 | res:doi | 10.55555/s05.2022.2911 |
| res:W02 | res:recordSource | res:origin-FEED |
| res:W02 | res:retracted | false |
| res:W02 | res:source | res:S05 |
| res:W02 | res:title | Drift-aware mapping with low-cost sonar |
| res:W02 | res:versionOf | res:W03 |
| res:W02 | res:workType | res:wtype-PPR |
| res:W02 | res:year | 2022 |
| res:W03 | rdf:type | res: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:title | Drift-aware mapping with low-cost sonar |
| res:W03 | res:workType | res:wtype-ART |
| res:W03 | res:year | 2023 |
| res:W04 | rdf:type | res:Work |
| res:W04 | rdfs:label | Editorial: a new decade of marine autonomy |
| res:W04 | res: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:title | Editorial: a new decade of marine autonomy |
| 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:title | Erratum: Drift-aware mapping with low-cost sonar |
| 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:title | Shoreline change detection from glider transects |
| 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 |
(7613 more rows not shown)

Run more queries, or give the final answers.

The model

<parameter name="sparql">
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE {
  ?s ?p ?o .
  FILTER(REGEX(STR(?s), "research/(I|S)[0-9]+$") || REGEX(STR(?s), "research/(wtype|origin|tier|itype|stype)"))
} ORDER BY ?s ?p
</parameter>
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?w ?t ?y ?src ?wt ?rs ?ret ?v WHERE {
  ?w a res:Work ; res:title ?t ; res:year ?y ; res:source ?src ; res:workType ?wt ; res:recordSource ?rs ; res:retracted ?ret .
  OPTIONAL { ?w res:versionOf ?v }
} ORDER BY ?w
</parameter>
```

Query results

Query 1:

| w | t | y | src | wt | rs | ret | v |
|---|---|---|---|---|---|---|---|
| res:W01 | Adaptive path planning for underwater gliders | 2021 | res:S01 | res:wtype-ART | res:origin-FEED | false |  |
| res:W02 | Drift-aware mapping with low-cost sonar | 2022 | res:S05 | res:wtype-PPR | res:origin-FEED | false | res:W03 |
| res:W03 | Drift-aware mapping with low-cost sonar | 2023 | res:S02 | res:wtype-ART | res:origin-FEED | false |  |
| res:W04 | Editorial: a new decade of marine autonomy | 2023 | res:S01 | res:wtype-EDT | res:origin-FEED | false |  |
| res:W05 | Erratum: Drift-aware mapping with low-cost sonar | 2024 | res:S02 | res:wtype-ERR | res:origin-FEED | false |  |
| res:W06 | Shoreline change detection from glider transects | 2024 | res:S03 | res:wtype-ART | res:origin-FEED | false |  |
| res:W07 | Low-cost sonar arrays for coastal monitoring | 2020 | res:S04 | res:wtype-ART | res:origin-FEED | false |  |
| res:W08 | Turbulent wake modelling behind tidal turbines | 2025 | res:S01 | res:wtype-ART | res:origin-FEED | false |  |
| res:W09 | Issue information | 2023 | res:S01 | res:wtype-PTX | res:origin-FEED | false |  |
| res:W10 | Front matter | 2024 | res:S02 | res:wtype-PTX | res:origin-FEED | false |  |
| res:W1000 | Low-cost methods for internal waves | 2024 | res:S01 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1001 | Machine learning for harbour seiches in mixed-energy coasts | 2024 | res:S09 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1002 | A framework for dune erosion | 2021 | res:S06 | res:wtype-SUP | res:origin-FEED | false |  |
| res:W1003 | Field measurements of sensor calibration in the North Sea | 2024 | res:S06 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1004 | Revisiting acoustic positioning | 2024 | res:S02 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1005 | Remote sensing of buoy telemetry in fjords | 2025 | res:S02 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1006 | Seasonal variability in acoustic positioning in a laboratory flume | 2020 | res:S13 | res:wtype-REV | res:origin-FEED | false |  |
| res:W1007 | A model of storm surge in sandy coasts | 2023 | res:S01 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1008 | Machine learning for beach profiles in sandy coasts | 2025 | res:S11 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1009 | Revisiting sediment flux in the open shelf: a review | 2022 | res:S12 | res:wtype-REV | res:origin-FEED | false |  |
| res:W101 | Long-term trends in estuarine salinity | 2019 | res:S08 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1010 | Revisiting vortex shedding in mixed-energy coasts | 2020 | res:S02 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1011 | Scaling laws for fleet coordination in harbour basins | 2021 | res:S04 | res:wtype-REV | res:origin-FEED | false |  |
| res:W1012 | Seasonal variability in marsh accretion in the Wexcombe marshes | 2020 | res:S08 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1013 | Revisiting battery endurance in sandy coasts | 2025 | res:S04 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1014 | A model of sensor calibration in the North Sea | 2023 | res:S01 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1015 | Revisiting tidal asymmetry in mixed-energy coasts | 2023 | res:S12 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1016 | Scaling laws for bed shear stress in a laboratory flume | 2025 | res:S06 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1017 | A model of tidal asymmetry in tidal inlets | 2025 | res:S07 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1018 | Remote sensing of estuarine salinity in the Brevin shelf | 2025 | res:S08 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1019 | Seasonal variability in coastal upwelling in mixed-energy coasts | 2020 | res:S03 | res:wtype-ART | res:origin-FEED | false |  |
| res:W102 | Long-term trends in dune erosion | 2023 | res:S07 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1020 | Machine learning for vortex shedding in mixed-energy coasts | 2020 | res:S13 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1021 | Long-term trends in wave boundary layers | 2021 | res:S02 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1022 | Uncertainty in storm surge estimates in the Wexcombe marshes | 2023 | res:S09 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1023 | A model of beach profiles in mixed-energy coasts | 2024 | res:S09 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1024 | Long-term trends in dune erosion in sandy coasts | 2020 | res:S12 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1025 | Long-term trends in stratified flows | 2020 | res:S02 | res:wtype-ART | res:origin-FEED | true |  |
| res:W1026 | A model of dune erosion in a macrotidal bay | 2019 | res:S09 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1027 | Low-cost methods for bed shear stress in fjords: a review | 2024 | res:S10 | res:wtype-REV | res:origin-FEED | false |  |
| res:W1028 | A model of wave runup in mixed-energy coasts | 2019 | res:S03 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1029 | Seasonal variability in coastal upwelling in the open shelf | 2022 | res:S09 | res:wtype-ART | res:origin-FEED | false |  |
| res:W103 | A model of harbour seiches | 2020 | res:S07 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1030 | Low-cost methods for storm surge in the open shelf | 2021 | res:S12 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1031 | Remote sensing of internal waves in the open shelf | 2025 | res:S01 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1032 | Low-cost methods for coastal upwelling | 2019 | res:S02 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1033 | Machine learning for tidal asymmetry | 2025 | res:S08 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1034 | Foreword: tidal mixing | 2025 | res:S06 | res:wtype-EDT | res:origin-FEED | false |  |
| res:W1035 | Uncertainty in ocean optics estimates in the Brevin shelf | 2021 | res:S03 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1036 | Uncertainty in bed shear stress estimates in the Albury estuary | 2024 | res:S06 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1037 | Low-cost methods for harbour seiches in the Wexcombe marshes | 2022 | res:S02 | res:wtype-ART | res:origin-FEED | true |  |
| res:W1038 | Low-cost methods for marsh accretion | 2020 | res:S02 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1039 | Revisiting vortex shedding in sandy coasts | 2023 | res:S11 | res:wtype-ART | res:origin-FEED | false |  |
| res:W104 | Remote sensing of wave runup | 2019 | res:S07 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1040 | Field measurements of storm surge | 2024 | res:S08 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1041 | Editorial: survey vessel autonomy | 2025 | res:S03 | res:wtype-EDT | res:origin-FEED | false |  |
| res:W1042 | Revisiting seabed classification in a semi-enclosed sea | 2025 | res:S01 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1043 | Editorial: machine learning for sediment flux | 2023 | res:S08 | res:wtype-EDT | res:origin-FEED | false |  |
| res:W1044 | Machine learning for acoustic positioning in harbour basins | 2021 | res:S02 | res:wtype-ART | res:origin-FEED | false |  |
| res:W1046 | Low-cost methods for vortex shedding in a laboratory flume | 2024 | res:S01 | res:wtype-ART | res:origin-FEED | false |  |
(790 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:institutionType | res:itype-SYS |
| res:I01 | res:name | Albury University System |
| res:I01 | res:ror | 0hygr4985 |
| res:I02 | rdf:type | res:Institution |
| 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 | rdf:type | res:Institution |
| 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 | rdf:type | res:Institution |
| 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 | rdf:type | res:Institution |
| 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 | rdf:type | res:Institution |
| 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 | rdf:type | res:Institution |
| 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 | rdf:type | res:Institution |
| 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 | rdf:type | res:Institution |
| 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 |
(217 more rows not shown)

Run more queries, or give the final answers.

The model

<parameter name="sparql">PREFIX res: <https://example.org/research/>
SELECT ?i ?name ?c ?t ?p WHERE { ?i a res:Institution ; res:name ?name . OPTIONAL{?i res:country ?c} OPTIONAL{?i res:institutionType ?t} OPTIONAL{?i res:parent ?p} } ORDER BY ?i</parameter>
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?name ?st ?tier ?issn WHERE { ?s a res:Source . OPTIONAL{?s res:name ?name} OPTIONAL{?s res:sourceType ?st} OPTIONAL{?s res:tier ?tier} OPTIONAL{?s res:issn ?issn} } ORDER BY ?s</parameter>
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(REGEX(STR(?s), "research/(wtype|origin|tier|itype|stype)")) } ORDER BY ?s</parameter>
```

Query results

Query 1:

| s | name | st | tier | issn |
|---|---|---|---|---|
| res:S01 | Journal of Marine Autonomy | res:stype-JOU | res:tier-K3 | 9866-3925 |
| res:S02 | Ocean Sensing Letters | res:stype-JOU | res:tier-K2 | 3195-4973 |
| res:S03 | Coastal Engineering Review | res:stype-JOU | res:tier-K1 | 1154-9679 |
| res:S04 | Global Marine Science Reports | res:stype-JOU | res:tier-K0 | 8864-5325 |
| res:S05 | OceanArXiv | res:stype-REP |  |  |
| res:S06 | Proceedings of the Hydrodynamics Forum | res:stype-JOU | res:tier-K2 | 9804-2748 |
| res:S07 | Journal of Estuarine Dynamics | res:stype-JOU | res:tier-K2 | 1483-2835 |
| res:S08 | Hydrology Notes | res:stype-JOU | res:tier-K1 | 9832-2482 |
| res:S09 | Journal of Coastal Hydraulics | res:stype-JOU | res:tier-K2 | 3431-7424 |
| res:S10 | Marine Technology Bulletin | res:stype-JOU | res:tier-K1 | 7809-8515 |
| res:S11 | Annals of Ocean Observation | res:stype-JOU | res:tier-K2 | 8324-8964 |
| res:S12 | Shelf Sea Letters | res:stype-JOU | res:tier-K1 | 8103-2767 |
| res:S13 | International Journal of Ocean Frontiers | res:stype-JOU | res:tier-K0 | 1765-9671 |
| res:S14 | CoastRxiv | res:stype-REP |  |  |

Query 2:

(no rows)

Query 3:

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

Run more queries, or give the final answers.

The model

<parameter name="sparql">PREFIX res: <https://example.org/research/>
SELECT ?wt ?rs ?ret (COUNT(*) AS ?n) WHERE { ?w a res:Work ; res:workType ?wt ; res:recordSource ?rs ; res:retracted ?ret } GROUP BY ?wt ?rs ?ret</parameter>
```

```sparql
PREFIX res: <https://example.org/research/>
PREFIX skos: <http://www.w3.org/2004/02/skos/core#>
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(?p IN (skos:definition, skos:note, skos:prefLabel, skos:scopeNote, skos:broader) || ISIRI(?s) && !REGEX(STR(?s),"research/[A-Z]+[0-9]+$") && !REGEX(STR(?s),"research/[A-Z]+[0-9]+-")) } LIMIT 100</parameter>
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?a ?w ?au ?pos ?inst ?seq WHERE { ?a a res:Authorship ; res:work ?w ; res:author ?au . OPTIONAL{?a res:authorPosition ?pos} OPTIONAL{?a res:institution ?inst} OPTIONAL{?a res:affiliationSeq ?seq} FILTER(?w IN (res:W01,res:W02,res:W03,res:W05,res:W07,res:W08,res:W23,res:W37,res:W38,res:W70,res:W71,res:W30,res:W31)) } ORDER BY ?w ?a</parameter>
```

Query results

Query 1:

| s | p | o |
|---|---|---|
| res:AS-W993-A31-1 | res:institution | res:I16 |
| res:C-W970-W936 | rdfs:label | W970 cites W936 |
| res:C-W303-W552 | res:citedWork | res:W552 |
| res:AS-W1009-A44-1 | res:affiliationSeq | 1 |
| res:AS-W37-A05-1 | res:institution | res:I05 |
| res:AS-W763-A03-1 | res:authorPosition | 1 |
| res:AS-W06-A15-1 | res:author | res:A15 |
| res:AS-W371-A179-1 | res:author | res:A179 |
| res:AS-W886-A170-1 | res:work | res:W886 |
| res:C-W889-W277 | rdf:type | res:Citation |
| res:AS-W786-A45-1 | res:work | res:W786 |
| res:C-W1039-W42 | rdf:type | res:Citation |
| res:AS-W525-A158-1 | res:work | res:W525 |
| res:AS-W503-A111-1 | res:author | res:A111 |
| res:AS-W737-A162-1 | rdfs:label | W737 A162 I11 |
| res:AS-W17-A13-1 | rdf:type | res:Authorship |
| res:AS-W374-A01-1 | res:author | res:A01 |
| res:AS-W266-A229-1 | res:authorPosition | 2 |
| res:AS-W947-A187-1 | res:institution | res:I18 |
| res:AS-W910-A148-1 | res:author | res:A148 |
| res:AS-W779-A156-1 | res:author | res:A156 |
| res:AS-W829-A43-1 | res:authorPosition | 3 |
| res:AS-W803-A167-1 | rdfs:label | W803 A167 I13 |
| res:AS-W857-A122-1 | res:author | res:A122 |
| res:C-W550-W1010 | res:citingWork | res:W550 |
| res:AS-W586-A11-1 | res:author | res:A11 |
| res:AS-W266-A229-1 | res:author | res:A229 |
| res:AS-W438-A170-1 | res:author | res:A170 |
| res:AS-W612-A191-1 | res:institution | res:I27 |
| res:AS-W843-A101-1 | res:work | res:W843 |
| res:C-W103-W60 | res:citedWork | res:W60 |
| res:AS-W302-A158-1 | res:author | res:A158 |
| res:AS-W550-A182-1 | res:authorPosition | 3 |
| res:AS-W846-A118-1 | rdfs:label | W846 A118 I03 |
| res:C-W786-W881 | rdfs:label | W786 cites W881 |
| res:AS-W205-A115-1 | res:institution | res:I03 |
| res:C-W630-W1062 | res:citedWork | res:W1062 |
| res:C-W1034-W631 | res:citingWork | res:W1034 |
| res:AS-W571-A164-1 | res:work | res:W571 |
| res:AS-W925-A213-1 | res:institution | res:I25 |
| res:AS-W499-A121-1 | res:author | res:A121 |
| res:C-W310-W778 | res:citingWork | res:W310 |
| res:C-W419-W626 | res:citedWork | res:W626 |
| res:AS-W41-A14-1 | res:authorPosition | 1 |
| res:AS-W880-A154-1 | rdfs:label | W880 A154 I23 |
| res:C-W617-W373 | res:citingWork | res:W617 |
| res:C-W520-W269 | res:citedWork | res:W269 |
| res:C-W993-W947 | res:citingWork | res:W993 |
| res:C-W881-W613 | rdf:type | res:Citation |
| res:AS-W455-A129-1 | rdfs:label | W455 A129 I05 |
| res:C-W972-W755 | rdf:type | res:Citation |
| res:C-W270-W779 | rdfs:label | W270 cites W779 |
| res:AS-W789-A141-1 | res:institution | res:I07 |
| res:C-W258-W835 | res:citingWork | res:W258 |
| res:C-W1065-W1024 | res:citingWork | res:W1065 |
| res:AS-W788-A122-1 | res:work | res:W788 |
| res:AS-W705-A137-1 | rdfs:label | W705 A137 I07 |
| res:AS-W460-A12-1 | res:institution | res:I10 |
| res:AS-W303-A157-1 | res:institution | res:I12 |
| res:C-W785-W838 | rdf:type | res:Citation |
(40 more rows not shown)

Query 2:

| a | w | au | pos | inst | seq |
|---|---|---|---|---|---|
| res:AS-W01-A01-1 | res:W01 | res:A01 | 1 | res:I02 | 1 |
| res:AS-W01-A07-1 | res:W01 | res:A07 | 2 | res:I03 | 1 |
| res:AS-W02-A02-1 | res:W02 | res:A02 | 1 | res:I02 | 1 |
| res:AS-W02-A07-1 | res:W02 | res:A07 | 2 | res:I03 | 1 |
| res:AS-W03-A03-1 | res:W03 | res:A03 | 1 | res:I02 | 1 |
| res:AS-W03-A07-1 | res:W03 | res:A07 | 2 | res:I03 | 1 |
| res:AS-W05-A01-1 | res:W05 | res:A01 | 1 | res:I02 | 1 |
| res:AS-W05-A07-1 | res:W05 | res:A07 | 2 | res:I03 | 1 |
| res:AS-W07-A02-1 | res:W07 | res:A02 | 1 | res:I02 | 1 |
| res:AS-W08-A04-1 | res:W08 | res:A04 | 1 | res:I07 | 1 |
| res:AS-W23-A09-1 | res:W23 | res:A09 | 1 | res:I07 | 1 |
| res:AS-W30-A15-1 | res:W30 | res:A15 | 1 | res:I13 | 1 |
| res:AS-W31-A17-1 | res:W31 | res:A17 | 1 | res:I14 | 1 |
| res:AS-W37-A05-1 | res:W37 | res:A05 | 1 | res:I05 | 1 |
| res:AS-W38-A06-1 | res:W38 | res:A06 | 1 | res:I12 | 1 |
| res:AS-W70-A08-1 | res:W70 | res:A08 | 1 | res:I04 | 1 |
| res:AS-W70-A08-2 | res:W70 | res:A08 | 1 | res:I06 | 2 |
| res:AS-W71-A08-1 | res:W71 | res:A08 | 1 | res:I06 | 1 |
| res:AS-W71-A08-2 | res:W71 | res:A08 | 1 | res:I04 | 2 |

Query 3:

| wt | rs | ret | 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

<parameter name="sparql">PREFIX res: <https://example.org/research/>
SELECT ?p (COUNT(*) AS ?n) WHERE { ?s ?p ?o } GROUP BY ?p</sparql>
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?s ?p ?o WHERE { ?s ?p ?o . FILTER(!REGEX(STR(?s),"research/(W|A|I|S|AS|C)[0-9-]+[A-Z0-9-]*$")) } LIMIT 100
```

Query results

Query 1:

(no rows)

Run more queries, or give the final answers.

The model

<parameter name="sparql">PREFIX res: <https://example.org/research/>
SELECT ?w ?au ?wt ?y ?rs ?ret ?v ?src WHERE { ?a a res:Authorship ; res:work ?w ; res:author ?au . ?w res:workType ?wt ; res:year ?y ; res:recordSource ?rs ; res:retracted ?ret ; res:source ?src . OPTIONAL{?w res:versionOf ?v} FILTER(?au IN (res:A01,res:A02,res:A03,res:A04,res:A101,res:A102,res:A07,res:A09,res:A103,res:A05,res:A104,res:A06,res:A105)) } ORDER BY ?au ?w
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?w ?wt ?y ?rs ?src ?v WHERE { ?w res:recordSource ?rs ; res:workType ?wt ; res:year ?y ; res:source ?src . OPTIONAL{?w res:versionOf ?v} FILTER(?rs != res:origin-FEED || BOUND(?v)) } ORDER BY ?w
```

Query results

Query 1:

| w | wt | y | rs | src | v |
|---|---|---|---|---|---|
| res:W02 | res:wtype-PPR | 2022 | res:origin-FEED | res:S05 | res:W03 |
| res:W1049 | res:wtype-PPR | 2021 | res:origin-FEED | res:S14 | res:W789 |
| res:W12 | res:wtype-ART | 2024 | res:origin-CRIS | res:S02 |  |
| res:W19 | res:wtype-ART | 2025 | res:origin-CRIS | res:S02 |  |
| res:W210 | res:wtype-PPR | 2021 | res:origin-FEED | res:S14 | res:W902 |
| res:W219 | res:wtype-PPR | 2022 | res:origin-FEED | res:S05 | res:W251 |
| res:W226 | res:wtype-PPR | 2023 | res:origin-FEED | res:S05 | res:W710 |
| res:W263 | res:wtype-PPR | 2019 | res:origin-FEED | res:S05 | res:W279 |
| res:W268 | res:wtype-ART | 2025 | res:origin-STG | res:S02 |  |
| res:W322 | res:wtype-PPR | 2019 | res:origin-FEED | res:S14 | res:W453 |
| res:W329 | res:wtype-ART | 2025 | res:origin-STG | res:S01 |  |
| res:W372 | res:wtype-SUP | 2025 | res:origin-STG | res:S02 |  |
| res:W397 | res:wtype-ART | 2025 | res:origin-STG | res:S01 |  |
| res:W407 | res:wtype-PPR | 2023 | res:origin-FEED | res:S14 | res:W1027 |
| res:W416 | res:wtype-PPR | 2020 | res:origin-FEED | res:S14 | res:W640 |
| res:W42 | res:wtype-PPR | 2023 | res:origin-FEED | res:S05 | res:W31 |
| res:W432 | res:wtype-PPR | 2023 | res:origin-FEED | res:S05 | res:W879 |
| res:W460 | res:wtype-PPR | 2022 | res:origin-FEED | res:S14 | res:W496 |
| res:W488 | res:wtype-ART | 2025 | res:origin-STG | res:S01 |  |
| res:W506 | res:wtype-PPR | 2022 | res:origin-FEED | res:S05 | res:W422 |
| res:W522 | res:wtype-PPR | 2020 | res:origin-FEED | res:S14 | res:W312 |
| res:W524 | res:wtype-PPR | 2020 | res:origin-FEED | res:S05 | res:W807 |
| res:W545 | res:wtype-PPR | 2019 | res:origin-FEED | res:S14 | res:W742 |
| res:W556 | res:wtype-PPR | 2019 | res:origin-FEED | res:S05 | res:W1038 |
| res:W569 | res:wtype-ART | 2025 | res:origin-STG | res:S02 |  |
| res:W573 | res:wtype-REV | 2025 | res:origin-STG | res:S01 |  |
| res:W582 | res:wtype-ART | 2025 | res:origin-STG | res:S03 |  |
| res:W610 | res:wtype-ART | 2025 | res:origin-STG | res:S02 |  |
| res:W611 | res:wtype-PPR | 2019 | res:origin-FEED | res:S05 | res:W301 |
| res:W612 | res:wtype-PPR | 2023 | res:origin-FEED | res:S05 | res:W869 |
| res:W663 | res:wtype-PPR | 2021 | res:origin-FEED | res:S14 | res:W464 |
| res:W680 | res:wtype-REV | 2025 | res:origin-STG | res:S02 |  |
| res:W700 | res:wtype-ART | 2025 | res:origin-STG | res:S03 |  |
| res:W714 | res:wtype-ART | 2025 | res:origin-STG | res:S02 |  |
| res:W728 | res:wtype-PPR | 2019 | res:origin-FEED | res:S05 | res:W665 |
| res:W73 | res:wtype-ART | 2022 | res:origin-CRIS | res:S02 |  |
| res:W730 | res:wtype-PPR | 2020 | res:origin-FEED | res:S05 | res:W303 |
| res:W734 | res:wtype-SUP | 2025 | res:origin-STG | res:S03 |  |
| res:W802 | res:wtype-ART | 2025 | res:origin-STG | res:S02 |  |
| res:W819 | res:wtype-SUP | 2025 | res:origin-STG | res:S02 |  |
| res:W844 | res:wtype-ART | 2025 | res:origin-STG | res:S01 |  |
| res:W866 | res:wtype-SUP | 2025 | res:origin-STG | res:S03 |  |
| res:W868 | res:wtype-ART | 2025 | res:origin-STG | res:S01 |  |
| res:W877 | res:wtype-PPR | 2023 | res:origin-FEED | res:S05 | res:W965 |
| res:W878 | res:wtype-ART | 2025 | res:origin-STG | res:S08 |  |
| res:W90 | res:wtype-ART | 2025 | res:origin-STG | res:S02 |  |
| res:W91 | res:wtype-ART | 2025 | res:origin-STG | res:S01 |  |
| res:W92 | res:wtype-REV | 2025 | res:origin-STG | res:S03 |  |
| res:W971 | res:wtype-SUP | 2025 | res:origin-STG | res:S01 |  |
| res:W987 | res:wtype-ART | 2025 | res:origin-STG | res:S02 |  |
| res:W997 | res:wtype-SUP | 2025 | res:origin-STG | res:S01 |  |

Run more queries, or give the final answers.

The model

<invoke name="sparql">
PREFIX res: <https://example.org/research/>
SELECT ?root ?wt ?rs ?ret (COUNT(DISTINCT ?w) AS ?n) WHERE {
  VALUES ?root { res:I01 res:I02 res:I07 res:I14 res:I06 res:I08 }
  ?i res:parent* ?root .
  ?a a res:Authorship ; res:work ?w ; res:institution ?i .
  ?w res:workType ?wt ; res:recordSource ?rs ; res:retracted ?ret .
} GROUP BY ?root ?wt ?rs ?ret ORDER BY ?root
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?au ?w ?wt ?y ?rs ?ret WHERE {
  ?a a res:Authorship ; res:work ?w ; res:author ?au .
  ?w res:workType ?wt ; res:year ?y ; res:recordSource ?rs ; res:retracted ?ret .
  FILTER(?au IN (res:A01,res:A02,res:A03,res:A101,res:A07,res:A09,res:A103,res:A05,res:A104,res:A06,res:A105))
} ORDER BY ?au ?w
```

Query results

Query 1:

| au | w | wt | y | rs | ret |
|---|---|---|---|---|---|
| res:A01 | res:W01 | res:wtype-ART | 2021 | res:origin-FEED | false |
| res:A01 | res:W04 | res:wtype-EDT | 2023 | res:origin-FEED | false |
| res:A01 | res:W05 | res:wtype-ERR | 2024 | res:origin-FEED | false |
| res:A01 | res:W06 | res:wtype-ART | 2024 | res:origin-FEED | false |
| res:A01 | res:W1005 | res:wtype-ART | 2025 | res:origin-FEED | false |
| res:A01 | res:W12 | res:wtype-ART | 2024 | res:origin-CRIS | false |
| res:A01 | res:W238 | res:wtype-ART | 2023 | res:origin-FEED | false |
| res:A01 | res:W271 | res:wtype-EDT | 2019 | res:origin-FEED | false |
| res:A01 | res:W374 | res:wtype-ART | 2023 | res:origin-FEED | true |
| res:A01 | res:W464 | res:wtype-ART | 2021 | res:origin-FEED | false |
| res:A01 | res:W676 | res:wtype-ART | 2025 | res:origin-FEED | false |
| res:A01 | res:W813 | res:wtype-ERR | 2025 | res:origin-FEED | false |
| res:A01 | res:W949 | res:wtype-ERR | 2024 | res:origin-FEED | false |
| res:A02 | res:W02 | res:wtype-PPR | 2022 | res:origin-FEED | false |
| res:A02 | res:W07 | res:wtype-ART | 2020 | res:origin-FEED | false |
| res:A02 | res:W1048 | res:wtype-ART | 2023 | res:origin-FEED | false |
| res:A02 | res:W1050 | res:wtype-ART | 2024 | res:origin-FEED | false |
| res:A02 | res:W19 | res:wtype-ART | 2025 | res:origin-CRIS | false |
| res:A02 | res:W449 | res:wtype-ART | 2022 | res:origin-FEED | false |
| res:A02 | res:W663 | res:wtype-PPR | 2021 | res:origin-FEED | false |
| res:A02 | res:W869 | res:wtype-ART | 2023 | res:origin-FEED | false |
| res:A02 | res:W972 | res:wtype-ART | 2020 | res:origin-FEED | false |
| res:A03 | res:W03 | res:wtype-ART | 2023 | res:origin-FEED | false |
| res:A03 | res:W206 | res:wtype-ART | 2020 | res:origin-FEED | false |
| res:A03 | res:W763 | res:wtype-ART | 2024 | res:origin-FEED | false |
| res:A03 | res:W817 | res:wtype-ART | 2023 | res:origin-FEED | false |
| res:A05 | res:W1038 | res:wtype-ART | 2020 | res:origin-FEED | false |
| res:A05 | res:W14 | res:wtype-ART | 2025 | res:origin-FEED | false |
| res:A05 | res:W37 | res:wtype-ART | 2022 | res:origin-FEED | false |
| res:A05 | res:W554 | res:wtype-ART | 2024 | res:origin-FEED | false |
| res:A05 | res:W565 | res:wtype-ART | 2019 | res:origin-FEED | false |
| res:A05 | res:W785 | res:wtype-REV | 2020 | res:origin-FEED | false |
| res:A05 | res:W792 | res:wtype-ART | 2023 | res:origin-FEED | false |
| res:A06 | res:W1031 | res:wtype-ART | 2025 | res:origin-FEED | false |
| res:A06 | res:W28 | res:wtype-ART | 2024 | res:origin-FEED | false |
| res:A06 | res:W34 | res:wtype-ART | 2025 | res:origin-FEED | false |
| res:A06 | res:W38 | res:wtype-ART | 2023 | res:origin-FEED | false |
| res:A06 | res:W384 | res:wtype-ART | 2025 | res:origin-FEED | false |
| res:A06 | res:W525 | res:wtype-ART | 2024 | res:origin-FEED | false |
| res:A06 | res:W835 | res:wtype-ART | 2020 | res:origin-FEED | false |
| res:A07 | res:W01 | res:wtype-ART | 2021 | res:origin-FEED | false |
| res:A07 | res:W02 | res:wtype-PPR | 2022 | res:origin-FEED | false |
| res:A07 | res:W03 | res:wtype-ART | 2023 | res:origin-FEED | false |
| res:A07 | res:W05 | res:wtype-ERR | 2024 | res:origin-FEED | false |
| res:A07 | res:W13 | res:wtype-ART | 2024 | res:origin-FEED | false |
| res:A07 | res:W219 | res:wtype-PPR | 2022 | res:origin-FEED | false |
| res:A07 | res:W251 | res:wtype-ART | 2023 | res:origin-FEED | false |
| res:A07 | res:W262 | res:wtype-ART | 2025 | res:origin-FEED | false |
| res:A07 | res:W292 | res:wtype-ART | 2020 | res:origin-FEED | false |
| res:A07 | res:W293 | res:wtype-ART | 2023 | res:origin-FEED | false |
| res:A07 | res:W435 | res:wtype-ART | 2023 | res:origin-FEED | false |
| res:A07 | res:W553 | res:wtype-ART | 2022 | res:origin-FEED | false |
| res:A07 | res:W598 | res:wtype-ART | 2024 | res:origin-FEED | false |
| res:A07 | res:W72 | res:wtype-ART | 2024 | res:origin-FEED | false |
| res:A07 | res:W758 | res:wtype-REV | 2019 | res:origin-FEED | false |
| res:A07 | res:W787 | res:wtype-ART | 2024 | res:origin-FEED | false |
| res:A07 | res:W833 | res:wtype-ART | 2024 | res:origin-FEED | false |
| res:A07 | res:W969 | res:wtype-ART | 2025 | res:origin-FEED | false |
| res:A09 | res:W1025 | res:wtype-ART | 2020 | res:origin-FEED | true |
| res:A09 | res:W20 | res:wtype-ART | 2024 | res:origin-FEED | false |
(31 more rows not shown)

Run more queries, or give the final answers.

The model

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?root ?wt ?rs ?ret ?y (COUNT(DISTINCT ?w) AS ?n) WHERE {
  VALUES ?root { res:I01 res:I02 res:I07 res:I14 res:I06 res:I08 res:I09 }
  ?i res:parent* ?root .
  ?a a res:Authorship ; res:work ?w ; res:institution ?i .
  ?w res:workType ?wt ; res:recordSource ?rs ; res:retracted ?ret ; res:year ?y .
  FILTER(?y >= 2024 || ?root IN (res:I01,res:I02,res:I14,res:I06))
} GROUP BY ?root ?wt ?rs ?ret ?y ORDER BY ?root ?y
```

```sparql
PREFIX res: <https://example.org/research/>
SELECT ?citing ?cited ?y WHERE {
  ?c a res:Citation ; res:citingWork ?citing ; res:citedWork ?cited .
  ?citing res:year ?y .
  FILTER(?cited IN (res:W01,res:W02,res:W03,res:W30,res:W31,res:W42))
} ORDER BY ?cited ?citing
```

Query results

Query 1:

| root | wt | rs | ret | y | n |
|---|---|---|---|---|---|
| res:I01 | res:wtype-ART | res:origin-FEED | false | 2019 | 20 |
| res:I01 | res:wtype-REV | res:origin-FEED | false | 2019 | 4 |
| res:I01 | res:wtype-EDT | res:origin-FEED | false | 2019 | 2 |
| res:I01 | res:wtype-PPR | res:origin-FEED | false | 2019 | 2 |
| res:I01 | res:wtype-ART | res:origin-FEED | false | 2020 | 20 |
| res:I01 | res:wtype-REV | res:origin-FEED | false | 2020 | 4 |
| res:I01 | res:wtype-PPR | res:origin-FEED | false | 2020 | 2 |
| res:I01 | res:wtype-ART | res:origin-FEED | false | 2021 | 18 |
| res:I01 | res:wtype-REV | res:origin-FEED | false | 2021 | 1 |
| res:I01 | res:wtype-PPR | res:origin-FEED | false | 2021 | 1 |
| res:I01 | res:wtype-PPR | res:origin-FEED | false | 2022 | 2 |
| res:I01 | res:wtype-ART | res:origin-FEED | false | 2022 | 11 |
| res:I01 | res:wtype-REV | res:origin-FEED | false | 2022 | 1 |
| res:I01 | res:wtype-ART | res:origin-CRIS | false | 2022 | 1 |
| res:I01 | res:wtype-ART | res:origin-FEED | false | 2023 | 28 |
| res:I01 | res:wtype-EDT | res:origin-FEED | false | 2023 | 1 |
| res:I01 | res:wtype-PPR | res:origin-FEED | false | 2023 | 3 |
| res:I01 | res:wtype-REV | res:origin-FEED | false | 2023 | 5 |
| res:I01 | res:wtype-ART | res:origin-FEED | true | 2023 | 1 |
| res:I01 | res:wtype-ERR | res:origin-FEED | false | 2024 | 3 |
| res:I01 | res:wtype-ART | res:origin-FEED | false | 2024 | 35 |
| res:I01 | res:wtype-ART | res:origin-CRIS | false | 2024 | 1 |
| res:I01 | res:wtype-REV | res:origin-FEED | false | 2024 | 3 |
| res:I01 | res:wtype-ART | res:origin-FEED | true | 2024 | 1 |
| res:I01 | res:wtype-ART | res:origin-FEED | false | 2025 | 16 |
| res:I01 | res:wtype-ART | res:origin-CRIS | false | 2025 | 1 |
| res:I01 | res:wtype-REV | res:origin-FEED | false | 2025 | 2 |
| res:I01 | res:wtype-ERR | res:origin-FEED | false | 2025 | 2 |
| res:I02 | res:wtype-REV | res:origin-FEED | false | 2019 | 3 |
| res:I02 | res:wtype-ART | res:origin-FEED | false | 2019 | 14 |
| res:I02 | res:wtype-EDT | res:origin-FEED | false | 2019 | 2 |
| res:I02 | res:wtype-PPR | res:origin-FEED | false | 2019 | 1 |
| res:I02 | res:wtype-ART | res:origin-FEED | false | 2020 | 14 |
| res:I02 | res:wtype-PPR | res:origin-FEED | false | 2020 | 2 |
| res:I02 | res:wtype-REV | res:origin-FEED | false | 2020 | 1 |
| res:I02 | res:wtype-ART | res:origin-FEED | false | 2021 | 11 |
| res:I02 | res:wtype-PPR | res:origin-FEED | false | 2021 | 1 |
| res:I02 | res:wtype-PPR | res:origin-FEED | false | 2022 | 2 |
| res:I02 | res:wtype-ART | res:origin-FEED | false | 2022 | 6 |
| res:I02 | res:wtype-REV | res:origin-FEED | false | 2022 | 1 |
| res:I02 | res:wtype-ART | res:origin-CRIS | false | 2022 | 1 |
| res:I02 | res:wtype-ART | res:origin-FEED | false | 2023 | 18 |
| res:I02 | res:wtype-EDT | res:origin-FEED | false | 2023 | 1 |
| res:I02 | res:wtype-REV | res:origin-FEED | false | 2023 | 4 |
| res:I02 | res:wtype-ART | res:origin-FEED | true | 2023 | 1 |
| res:I02 | res:wtype-PPR | res:origin-FEED | false | 2023 | 1 |
| res:I02 | res:wtype-ERR | res:origin-FEED | false | 2024 | 3 |
| res:I02 | res:wtype-ART | res:origin-FEED | false | 2024 | 25 |
| res:I02 | res:wtype-ART | res:origin-CRIS | false | 2024 | 1 |
| res:I02 | res:wtype-REV | res:origin-FEED | false | 2024 | 2 |
| res:I02 | res:wtype-ART | res:origin-FEED | true | 2024 | 1 |
| res:I02 | res:wtype-ART | res:origin-FEED | false | 2025 | 12 |
| res:I02 | res:wtype-ART | res:origin-CRIS | false | 2025 | 1 |
| res:I02 | res:wtype-REV | res:origin-FEED | false | 2025 | 2 |
| res:I02 | res:wtype-ERR | res:origin-FEED | false | 2025 | 2 |
| res:I06 | res:wtype-REV | res:origin-FEED | false | 2019 | 1 |
| res:I06 | res:wtype-ART | res:origin-FEED | false | 2019 | 4 |
| res:I06 | res:wtype-ART | res:origin-FEED | false | 2020 | 2 |
| res:I06 | res:wtype-ART | res:origin-FEED | false | 2021 | 2 |
| res:I06 | res:wtype-ART | res:origin-FEED | false | 2022 | 3 |
(19 more rows not shown)

Query 2:

| citing | cited | y |
|---|---|---|
| res:W229 | res:W01 | 2023 |
| res:W40 | res:W01 | 2022 |
| res:W41 | res:W01 | 2023 |
| res:W602 | res:W01 | 2023 |
| res:W657 | res:W01 | 2024 |
| res:W660 | res:W01 | 2022 |
| res:W844 | res:W01 | 2025 |
| res:W895 | res:W01 | 2023 |
| res:W1048 | res:W02 | 2023 |
| res:W15 | res:W02 | 2025 |
| res:W18 | res:W02 | 2022 |
| res:W315 | res:W02 | 2024 |
| res:W397 | res:W02 | 2025 |
| res:W535 | res:W02 | 2025 |
| res:W544 | res:W02 | 2025 |
| res:W558 | res:W02 | 2025 |
| res:W843 | res:W02 | 2023 |
| res:W1056 | res:W03 | 2023 |
| res:W12 | res:W03 | 2024 |
| res:W13 | res:W03 | 2024 |
| res:W14 | res:W03 | 2025 |
| res:W15 | res:W03 | 2025 |
| res:W16 | res:W03 | 2025 |
| res:W17 | res:W03 | 2024 |
| res:W214 | res:W03 | 2023 |
| res:W273 | res:W03 | 2024 |
| res:W315 | res:W03 | 2024 |
| res:W349 | res:W03 | 2024 |
| res:W397 | res:W03 | 2025 |
| res:W535 | res:W03 | 2025 |
| res:W569 | res:W03 | 2025 |
| res:W598 | res:W03 | 2024 |
| res:W676 | res:W03 | 2025 |
| res:W711 | res:W03 | 2025 |
| res:W748 | res:W03 | 2024 |
| res:W761 | res:W03 | 2024 |
| res:W812 | res:W03 | 2024 |
| res:W833 | res:W03 | 2024 |
| res:W843 | res:W03 | 2023 |
| res:W889 | res:W03 | 2024 |
| res:W890 | res:W03 | 2023 |
| res:W931 | res:W03 | 2023 |
| res:W973 | res:W03 | 2024 |
| res:W1033 | res:W30 | 2025 |
| res:W246 | res:W30 | 2023 |
| res:W274 | res:W30 | 2024 |
| res:W276 | res:W30 | 2022 |
| res:W289 | res:W30 | 2022 |
| res:W320 | res:W30 | 2024 |
| res:W334 | res:W30 | 2023 |
| res:W439 | res:W30 | 2022 |
| res:W60 | res:W30 | 2020 |
| res:W61 | res:W30 | 2022 |
| res:W62 | res:W30 | 2023 |
| res:W63 | res:W30 | 2024 |
| res:W64 | res:W30 | 2025 |
| res:W856 | res:W30 | 2024 |
| res:W878 | res:W30 | 2025 |
| res:W894 | res:W30 | 2024 |
| res:W988 | res:W30 | 2021 |
(15 more rows not shown)

This was the last round: give the final answers now, with no more queries.

The model

I ran out of query rounds, so only some answers are fully supported. Entries marked *unresolved* (null in the JSON) could not be computed from what I retrieved.

I treated articles and reviews as research works. I excluded editorials, errata, front matter, supplements, retracted works and preprints (the preprint's published version is counted instead).

**Q1.** 1. A01, A02 and A03 all carry ORCID 0000-0002-9841-6229.
**Q2.** 26 works, using A01, A02 and A03 as one person: W01, W04, W05, W06, W1005, W12, W238, W271, W374, W464, W676, W813, W949 (A01); W02, W07, W1048, W1050, W19, W449, W663, W869, W972 (A02); W03, W206, W763, W817 (A03). Another record with that ORCID, A101, may add more, but its rows were not shown.
**Q3.** No. A05 and A06 have different ORCIDs.
**Q4.** 7. A05 has W1038, W14, W37, W554, W565, W785 and W792. A104 (J. Brandt) shares A05's ORCID, but its works were not shown.
**Q5.** No. A04 (the M. Ellison of W08) has a different ORCID from A01.
**Q6.** Unresolved.
**Q7.** 17, from A01, A02 and A03 (A101 not counted).
**Q8.** I01. The chain is I04 → I03 → I02 → I01.
**Q9.** 116, summed from the per-year counts for I02.
**Q10.** 171, summed from the per-year counts for I01.
**Q11–Q16.** Unresolved.
**Q17.** W04 (editorial), W271 (editorial), W05, W813 and W949 (errata). W374 is retracted, but that is not a document-type reason.
**Q18.** 15. These are W01, W03, W13, W251, W262, W292, W293, W435, W553, W598, W72, W758, W787, W833 and W969. The preprints W02 and W219 and the erratum W05 are excluded.
**Q19.** 30. W02 has 9 citing works and W03 has 26, with 5 in common (W15, W315, W397, W535, W843).
**Q20.** The 23 preprints with a `versionOf` link: W02, W1049, W210, W219, W226, W263, W322, W407, W416, W42, W432, W460, W506, W522, W524, W545, W556, W611, W612, W663, W728, W730, W877.
**Q21–Q25.** Unresolved.
**Q26.** Depends. W23 is by A09 at Kesting University, but I did not retrieve its type or retraction status.
**Q27–Q36.** Unresolved.
**Q37.** I04. W70 lists I04 and I06 under the same author, with I04 first.
**Q38.** I06 and I04, plus their ancestors I03, I02 and I01.
**Q39.** Unresolved.
**Q40.** S01, assuming K3 is the highest tier. The tier scale is not documented, so this is an inference.
**Q41.** No, under the same assumption (S03 is K1, S02 is K2).
**Q42.** Unresolved.
**Q43.** Yes. W07 is an article from the main feed and is not retracted.
**Q44.** I02, I03, I04, I05, I06, I19, I20 and I21.
**Q45.** Unresolved.
**Q46.** I01. The chain is I06 → I02 → I01.
**Q47, Q48.** Unresolved. I did not retrieve the data needed to explain these.

```json
{"Q1":{"count":1},"Q2":{"works":["W01","W04","W05","W06","W1005","W12","W238","W271","W374","W464","W676","W813","W949","W02","W07","W1048","W1050","W19","W449","W663","W869","W972","W03","W206","W763","W817"]},"Q3":{"same":"no"},"Q4":{"count":7},"Q5":{"same":"no"},"Q6":{"author":null},"Q7":{"count":17},"Q8":{"parent":"I01"},"Q9":{"count":116},"Q10":{"count":171},"Q11":{"count":null},"Q12":{"full":null,"fractional":null},"Q13":{"full":null,"fractional":null},"Q14":{"full":null,"fractional":null},"Q15":{"count":null},"Q16":{"count":null},"Q17":{"works":["W04","W271","W05","W813","W949"]},"Q18":{"count":15},"Q19":{"count":30},"Q20":{"works":["W02","W1049","W210","W219","W226","W263","W322","W407","W416","W42","W432","W460","W506","W522","W524","W545","W556","W611","W612","W663","W728","W730","W877"]},"Q21":{"count":null},"Q22":{"more_in_total":null,"more_in_window":null},"Q23":{"total":null,"in_window":null},"Q24":{"count":null},"Q25":{"count":null},"Q26":{"counts":"depends"},"Q27":{"institution":null,"citing_works":null},"Q28":{"count":null},"Q29":{"author":null,"institution":null,"country":null},"Q30":{"count":null},"Q31":{"works":[]},"Q32":{"count":null},"Q33":{"work":null},"Q34":{"count":null},"Q35":{"count":null},"Q36":{"count":null},"Q37":{"institution":"I04"},"Q38":{"institutions":["I06","I04","I03","I02","I01"]},"Q39":{"count":null},"Q40":{"source":"S01"},"Q41":{"higher":"no"},"Q42":{"count":null},"Q43":{"research":"yes"},"Q44":{"institutions":["I02","I03","I04","I05","I06","I19","I20","I21"]},"Q45":{"count":null},"Q46":{"parent":"I01"}}
```