D1 sql, run 2: the query session

← back to the run

14 queries0 failed4 rounds
The opening prompt 
## The data

You can't see the data, but you can query it. It is in DuckDB, in the tables below. Write DuckDB SQL.

To run queries, reply with one or more fenced blocks (```sql), 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.

All columns are text (VARCHAR); dates are ISO strings.

- `institutions` (18 rows): institution_id, name, ror, country, type, parent_id
- `authors` (38 rows): author_id, name, orcid
- `sources` (8 rows): source_id, name, issn, type, tier
- `works` (85 rows): work_id, title, year, type, source_id, doi, version_of, is_retracted, record_source
- `authorships` (138 rows): work_id, author_id, author_position, institution_id, affil_seq
- `citations` (71 rows): citing_work_id, cited_work_id

## 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 tables.

```sql
SELECT * FROM institutions;
```
```sql
SELECT * FROM authors;
```
```sql
SELECT * FROM sources;
```
```sql
SELECT type, record_source, is_retracted, count(*), count(version_of) FROM works GROUP BY ALL;
```
Query results 
Query 1:

| institution_id | name | ror | country | type | parent_id |
|---|---|---|---|---|---|
| I01 | Albury University System | 0hygr4985 | GB | SYS |  |
| I02 | University of Albury | 06safhw22 | GB | UNI | I01 |
| I03 | Albury Centre for Marine Robotics | 06a9yq342 | GB | LAB | I02 |
| I04 | Tessel Laboratory for Ocean Sensing | 0002ezf81 | GB | LAB | I03 |
| I05 | Albury Metropolitan University | 0ww7kxb57 | GB | UNI | I01 |
| I06 | Halloran Institute for Coastal Studies | 0175f3924 | GB | AFF | I02 |
| I07 | Kesting University | 0593t4875 | DE | UNI |  |
| I08 | Kesting Institute of Hydrodynamics | 0brjdg570 | DE | LAB | I07 |
| I09 | Rostval Technical University | 0k8rh7879 | NL | UNI |  |
| I10 | Marrow Instruments BV | 0t3x83535 | NL | CO |  |
| I11 | Brevin Ocean Agency | 0wvack776 | FR | GOV |  |
| I12 | Université de Lorvain | 091pt9775 | FR | UNI |  |
| I13 | Dunmore College | 095cwy722 | GB | UNI |  |
| I14 | Oskel Polytechnic | 06t6n5818 | NL | UNI |  |
| I15 | Carrow State University | 0v91gp428 | US | UNI |  |
| I16 | Hoshimine Institute of Technology | 06afa6f88 | JP | UNI |  |
| I17 | Université de Mallois | 0pshcv029 | CA | UNI |  |
| I18 | Universidad de Ventolera | 0ay9jr885 | ES | UNI |  |

Query 2:

| author_id | name | orcid |
|---|---|---|
| A01 | Mara Ellison | 0000-0002-9841-6229 |
| A02 | M. Ellison | 0000-0002-9841-6229 |
| A03 | Ellison, Mara J. | 0000-0002-9841-6229 |
| A04 | M. Ellison | 0000-0004-8662-8360 |
| A05 | Jonas Brandt | 0000-0001-6105-5008 |
| A06 | Jonas Brandt | 0000-0007-5475-1779 |
| A07 | Priya Ramanathan | 0000-0009-2298-3695 |
| A08 | Tomasz Wierzba | 0000-0007-9318-6032 |
| A09 | Lena Vossberg | 0000-0000-8073-7028 |
| A10 | Dirk Hallmann | 0000-0003-8222-6468 |
| A11 | Sofie de Raat | 0000-0006-1642-5247 |
| A12 | Pieter Maas | 0000-0007-6472-5877 |
| A13 | Claire Fontanet | 0000-0001-8841-3301 |
| A14 | Hugo Marchetti | 0000-0007-5682-0525 |
| A15 | Aisha Okonjo | 0000-0008-9831-9489 |
| A16 | Rhys Calloway |  |
| A17 | Ingrid Solberg | 0000-0003-9494-8214 |
| A18 | Bram Kuipers | 0000-0001-6210-5218 |
| A19 | Femke Hoogeveen | 0000-0005-4914-5244 |
| A20 | Joost Verhaar | 0000-0001-0646-0013 |
| A21 | Petra Lindqvist | 0000-0000-4118-9557 |
| A22 | Niamh Corrigan | 0000-0009-9065-9397 |
| A30 | Ana Aranda | 0000-0006-1584-6450 |
| A31 | Ben Fujimura | 0000-0006-0454-1465 |
| A32 | Chiara Kincaid | 0000-0009-0853-8012 |
| A33 | Daichi Pruitt | 0000-0009-1102-8594 |
| A34 | Elif Esposito | 0000-0000-6925-6663 |
| A35 | Felipe Jaramillo | 0000-0006-3228-0886 |
| A36 | Grace Olmedo | 0000-0004-2300-4876 |
| A37 | Haruto Dorsey | 0000-0004-5291-2808 |
| A38 | Ines Ishida | 0000-0004-5850-0370 |
| A39 | Julien Nakagawa | 0000-0003-8265-3845 |
| A40 | Kai Carver | 0000-0003-5577-8794 |
| A41 | Lucia Hartwell | 0000-0003-2627-0586 |
| A42 | Mateo Morrow | 0000-0000-2145-8421 |
| A43 | Noor Beaulieu | 0000-0000-8394-9066 |
| A44 | Oscar Galvez | 0000-0008-8281-1265 |
| A45 | Paula Lefebvre | 0000-0008-4409-3244 |

Query 3:

| source_id | name | issn | type | tier |
|---|---|---|---|---|
| S01 | Journal of Marine Autonomy | 9866-3925 | JOU | K3 |
| S02 | Ocean Sensing Letters | 3195-4973 | JOU | K2 |
| S03 | Coastal Engineering Review | 1154-9679 | JOU | K1 |
| S04 | Global Marine Science Reports | 8864-5325 | JOU | K0 |
| S05 | OceanArXiv |  | REP |  |
| S06 | Proceedings of the Hydrodynamics Forum | 9804-2748 | JOU | K2 |
| S07 | Journal of Estuarine Dynamics | 1483-2835 | JOU | K2 |
| S08 | Hydrology Notes | 9832-2482 | JOU | K1 |

Query 4:

| type | record_source | is_retracted | count_star() | count(version_of) |
|---|---|---|---|---|
| EDT | FEED | false | 4 | 0 |
| REV | STG | false | 1 | 0 |
| PPR | FEED | false | 3 | 2 |
| ART | STG | false | 2 | 0 |
| ERR | FEED | false | 1 | 0 |
| ART | CRIS | false | 3 | 0 |
| PTX | FEED | false | 2 | 0 |
| ART | FEED | true | 1 | 0 |
| ART | FEED | false | 57 | 0 |
| REV | FEED | false | 9 | 0 |
| SUP | FEED | false | 2 | 0 |

Run more queries, or give the final answers.
The model 
<invoke name="sql">
</invoke>
```sql
SELECT * FROM works ORDER BY work_id;
```
```sql
SELECT * FROM authorships ORDER BY work_id, author_position;
```
```sql
SELECT * FROM citations ORDER BY 1,2;
```

Correction to the call format: here are the queries as plain fenced blocks.

```sql
SELECT * FROM works ORDER BY work_id;
```
```sql
SELECT * FROM authorships ORDER BY work_id, author_position;
```
```sql
SELECT * FROM citations ORDER BY 1,2;
```
Query results 
Query 1:

| work_id | title | year | type | source_id | doi | version_of | is_retracted | record_source |
|---|---|---|---|---|---|---|---|---|
| W01 | Adaptive path planning for underwater gliders | 2021 | ART | S01 | 10.55555/s01.2021.1465 |  | false | FEED |
| W02 | Drift-aware mapping with low-cost sonar | 2022 | PPR | S05 | 10.55555/s05.2022.2911 | W03 | false | FEED |
| W03 | Drift-aware mapping with low-cost sonar | 2023 | ART | S02 | 10.55555/s02.2023.9437 |  | false | FEED |
| W04 | Editorial: a new decade of marine autonomy | 2023 | EDT | S01 | 10.55555/s01.2023.1032 |  | false | FEED |
| W05 | Erratum: Drift-aware mapping with low-cost sonar | 2024 | ERR | S02 | 10.55555/s02.2024.7136 |  | false | FEED |
| W06 | Shoreline change detection from glider transects | 2024 | ART | S03 | 10.55555/s03.2024.2042 |  | false | FEED |
| W07 | Low-cost sonar arrays for coastal monitoring | 2020 | ART | S04 | 10.55555/s04.2020.7029 |  | false | FEED |
| W08 | Turbulent wake modelling behind tidal turbines | 2025 | ART | S01 | 10.55555/s01.2025.5958 |  | false | FEED |
| W09 | Issue information | 2023 | PTX | S01 | 10.55555/s01.2023.4542 |  | false | FEED |
| W10 | Front matter | 2024 | PTX | S02 | 10.55555/s02.2024.9718 |  | false | FEED |
| W101 | Long-term trends in estuarine salinity | 2019 | ART | S08 | 10.55555/s08.2019.4427 |  | false | FEED |
| W102 | Long-term trends in dune erosion | 2023 | ART | S07 | 10.55555/s07.2023.1186 |  | false | FEED |
| W103 | A model of harbour seiches | 2020 | ART | S07 | 10.55555/s07.2020.2380 |  | false | FEED |
| W104 | Remote sensing of wave runup | 2019 | ART | S07 | 10.55555/s07.2019.6591 |  | false | FEED |
| W105 | Seasonal variability in harbour seiches | 2021 | ART | S08 | 10.55555/s08.2021.9028 |  | false | FEED |
| W106 | Seasonal variability in harbour seiches: a review | 2022 | REV | S07 | 10.55555/s07.2022.7552 |  | false | FEED |
| W107 | Observations of marsh accretion: a review | 2019 | REV | S08 | 10.55555/s08.2019.9349 |  | false | FEED |
| W108 | Seasonal variability in tidal asymmetry | 2021 | ART | S07 | 10.55555/s07.2021.9650 |  | false | FEED |
| W109 | A model of river plumes | 2019 | ART | S07 | 10.55555/s07.2019.5434 |  | false | FEED |
| W110 | Editorial: beach profiles | 2021 | EDT | S07 | 10.55555/s07.2021.3358 |  | false | FEED |
| W111 | Observations of storm surge | 2025 | ART | S08 | 10.55555/s08.2025.5383 |  | false | FEED |
| W112 | Observations of tidal asymmetry | 2020 | ART | S07 | 10.55555/s07.2020.9946 |  | false | FEED |
| W113 | Seasonal variability in coastal upwelling | 2021 | ART | S07 | 10.55555/s07.2021.6316 |  | false | FEED |
| W114 | Observations of estuarine salinity | 2019 | ART | S08 | 10.55555/s08.2019.1460 |  | false | FEED |
| W115 | Remote sensing of internal waves: a review | 2025 | REV | S08 | 10.55555/s08.2025.4950 |  | false | FEED |
| W116 | A model of coastal upwelling | 2022 | ART | S08 | 10.55555/s08.2022.6950 |  | false | FEED |
| W117 | Uncertainty in beach profiles estimates | 2024 | ART | S08 | 10.55555/s08.2024.4202 |  | false | FEED |
| W118 | Long-term trends in internal waves | 2025 | ART | S07 | 10.55555/s07.2025.4335 |  | false | FEED |
| W119 | A model of internal waves | 2019 | ART | S08 | 10.55555/s08.2019.1156 |  | false | FEED |
| W12 | Sonar mosaics from glider fleets | 2024 | ART | S02 | 10.55555/s02.2024.3526 |  | false | CRIS |
| W120 | Remote sensing of tidal asymmetry: a review | 2021 | REV | S07 | 10.55555/s07.2021.6881 |  | false | FEED |
| W121 | Long-term trends in internal waves | 2024 | ART | S08 | 10.55555/s08.2024.8676 |  | false | FEED |
| W122 | Observations of storm surge | 2025 | ART | S08 | 10.55555/s08.2025.1686 |  | false | FEED |
| W123 | Editorial: river plumes | 2023 | EDT | S08 | 10.55555/s08.2023.3508 |  | false | FEED |
| W124 | A model of coastal upwelling | 2019 | ART | S08 | 10.55555/s08.2019.2165 |  | false | FEED |
| W125 | Remote sensing of sediment flux | 2024 | ART | S08 | 10.55555/s08.2024.4906 |  | false | FEED |
| W13 | Fleet coordination for survey gliders | 2024 | ART | S01 | 10.55555/s01.2024.5065 |  | false | FEED |
| W14 | Harbour mapping with autonomous surface vessels | 2025 | ART | S03 | 10.55555/s03.2025.3072 |  | false | FEED |
| W15 | Low-cost sonar: a review | 2025 | REV | S02 | 10.55555/s02.2025.2741 |  | false | FEED |
| W16 | Sonar-based wake detection | 2025 | ART | S02 | 10.55555/s02.2025.6345 |  | false | FEED |
| W17 | Acoustic positioning near the shore | 2024 | SUP | S06 | 10.55555/s06.2024.8939 |  | false | FEED |
| W18 | Comparing sonar odometry methods | 2022 | PPR | S05 | 10.55555/s05.2022.2759 |  | false | FEED |
| W19 | Glider-borne turbidity sensing | 2025 | ART | S02 | 10.55555/s02.2025.2198 |  | false | CRIS |
| W20 | Bed shear stress under breaking waves | 2024 | ART | S01 | 10.55555/s01.2024.7245 |  | false | FEED |
| W21 | A field campaign on tidal mixing | 2024 | ART | S02 | 10.55555/s02.2024.5301 |  | false | FEED |
| W22 | Turbulence closures for coastal models: a review | 2024 | REV | S03 | 10.55555/s03.2024.5939 |  | false | FEED |
| W23 | Anomalous dissipation in estuarine plumes | 2023 | ART | S02 | 10.55555/s02.2023.2925 |  | true | FEED |
| W24 | Vortex shedding in shallow channels | 2025 | SUP | S06 | 10.55555/s06.2025.6698 |  | false | FEED |
| W27 | Sensor fusion for moored buoys | 2024 | ART | S03 | 10.55555/s03.2024.8772 |  | false | FEED |
| W28 | Calibration drift in conductivity sensors | 2024 | ART | S02 | 10.55555/s02.2024.9171 |  | false | FEED |
| W29 | Open hardware for ocean observation: a review | 2024 | REV | S01 | 10.55555/s01.2024.2981 |  | false | FEED |
| W30 | Tidal stream resource maps for the Dunmore coast | 2019 | ART | S03 | 10.55555/s03.2019.9502 |  | false | FEED |
| W31 | Machine-learned tidal forecasts | 2023 | ART | S01 | 10.55555/s01.2023.5047 |  | false | FEED |
| W32 | Wave-current interaction over sandbars | 2025 | ART | S01 | 10.55555/s01.2025.8470 |  | false | FEED |
| W33 | Mixing efficiency in stratified tidal flows | 2025 | ART | S02 | 10.55555/s02.2025.6654 |  | false | FEED |
| W34 | Evaluating turbulence closures against flume data | 2025 | ART | S03 | 10.55555/s03.2025.2352 |  | false | FEED |
| W35 | Sediment resuspension by storms: a review | 2025 | REV | S02 | 10.55555/s02.2025.2131 |  | false | FEED |
| W36 | Shear and mixing in a macrotidal estuary | 2025 | ART | S03 | 10.55555/s03.2025.2439 |  | false | FEED |
| W37 | Port traffic and seabed disturbance | 2022 | ART | S03 | 10.55555/s03.2022.9107 |  | false | FEED |
| W38 | Seagrass mapping from aerial imagery | 2023 | ART | S02 | 10.55555/s02.2023.6112 |  | false | FEED |
(25 more rows not shown)

Query 2:

| work_id | author_id | author_position | institution_id | affil_seq |
|---|---|---|---|---|
| W01 | A01 | 1 | I02 | 1 |
| W01 | A07 | 2 | I03 | 1 |
| W02 | A02 | 1 | I02 | 1 |
| W02 | A07 | 2 | I03 | 1 |
| W03 | A03 | 1 | I02 | 1 |
| W03 | A07 | 2 | I03 | 1 |
| W04 | A01 | 1 | I02 | 1 |
| W05 | A01 | 1 | I02 | 1 |
| W05 | A07 | 2 | I03 | 1 |
| W06 | A01 | 1 | I02 | 1 |
| W06 | A15 | 2 | I13 | 1 |
| W07 | A02 | 1 | I02 | 1 |
| W08 | A04 | 1 | I07 | 1 |
| W101 | A30 | 1 | I15 | 1 |
| W101 | A42 | 2 | I15 | 1 |
| W102 | A36 | 1 | I17 | 1 |
| W102 | A38 | 2 | I15 | 1 |
| W102 | A42 | 3 | I15 | 1 |
| W103 | A35 | 1 | I16 | 1 |
| W103 | A41 | 2 | I18 | 1 |
| W103 | A34 | 3 | I15 | 1 |
| W104 | A37 | 1 | I18 | 1 |
| W104 | A44 | 2 | I17 | 1 |
| W104 | A45 | 3 | I18 | 1 |
| W105 | A31 | 1 | I16 | 1 |
| W105 | A40 | 2 | I17 | 1 |
| W106 | A38 | 1 | I15 | 1 |
| W106 | A45 | 2 | I18 | 1 |
| W107 | A32 | 1 | I17 | 1 |
| W107 | A43 | 2 | I16 | 1 |
| W108 | A35 | 1 | I16 | 1 |
| W108 | A42 | 2 | I15 | 1 |
| W108 | A34 | 3 | I15 | 1 |
| W109 | A36 | 1 | I17 | 1 |
| W109 | A42 | 2 | I15 | 1 |
| W109 | A43 | 3 | I16 | 1 |
| W110 | A34 | 1 | I15 | 1 |
| W111 | A34 | 1 | I15 | 1 |
| W112 | A45 | 1 | I18 | 1 |
| W112 | A44 | 2 | I17 | 1 |
| W113 | A43 | 1 | I16 | 1 |
| W113 | A32 | 2 | I17 | 1 |
| W114 | A38 | 1 | I15 | 1 |
| W114 | A35 | 2 | I16 | 1 |
| W114 | A42 | 3 | I15 | 1 |
| W115 | A35 | 1 | I16 | 1 |
| W116 | A44 | 1 | I17 | 1 |
| W116 | A43 | 2 | I16 | 1 |
| W117 | A36 | 1 | I17 | 1 |
| W118 | A35 | 1 | I16 | 1 |
| W119 | A41 | 1 | I18 | 1 |
| W119 | A36 | 2 | I17 | 1 |
| W12 | A01 | 1 | I02 | 1 |
| W12 | A16 | 2 | I05 | 1 |
| W120 | A37 | 1 | I18 | 1 |
| W121 | A32 | 1 | I17 | 1 |
| W121 | A37 | 2 | I18 | 1 |
| W122 | A32 | 1 | I17 | 1 |
| W123 | A45 | 1 | I18 | 1 |
| W123 | A38 | 2 | I15 | 1 |
(78 more rows not shown)

Query 3:

| citing_work_id | cited_work_id |
|---|---|
| W103 | W101 |
| W103 | W60 |
| W104 | W101 |
| W105 | W60 |
| W106 | W104 |
| W106 | W61 |
| W107 | W101 |
| W107 | W104 |
| W108 | W101 |
| W108 | W104 |
| W108 | W60 |
| W109 | W101 |
| W109 | W104 |
| W110 | W60 |
| W111 | W104 |
| W111 | W107 |
| W111 | W64 |
| W113 | W110 |
| W114 | W104 |
| W115 | W114 |
| W116 | W104 |
| W118 | W106 |
| W118 | W66 |
| W119 | W109 |
| W119 | W114 |
| W12 | W03 |
| W120 | W108 |
| W120 | W112 |
| W121 | W112 |
| W121 | W113 |
| W123 | W101 |
| W123 | W60 |
| W124 | W101 |
| W124 | W107 |
| W124 | W114 |
| W125 | W105 |
| W125 | W108 |
| W125 | W61 |
| W13 | W03 |
| W14 | W03 |
| W15 | W02 |
| W15 | W03 |
| W16 | W03 |
| W17 | W03 |
| W18 | W02 |
| W32 | W20 |
| W33 | W21 |
| W34 | W22 |
| W35 | W20 |
| W36 | W20 |
| W36 | W21 |
| W39 | W23 |
| W40 | W01 |
| W41 | W01 |
| W50 | W40 |
| W51 | W40 |
| W51 | W41 |
| W52 | W41 |
| W60 | W30 |
| W61 | W30 |
(11 more rows not shown)

Run more queries, or give the final answers.
The model 
Some output was truncated, so I'm fetching the remaining rows.

```sql
SELECT * FROM works WHERE work_id NOT IN (SELECT work_id FROM works ORDER BY work_id LIMIT 60) ORDER BY work_id;
```
```sql
SELECT * FROM works WHERE try_cast(substr(work_id,2) AS INT) >= 39 AND try_cast(substr(work_id,2) AS INT) < 100 ORDER BY work_id;
```
```sql
SELECT * FROM authorships WHERE work_id NOT LIKE 'W1__' AND try_cast(substr(work_id,2) AS INT) >= 8 ORDER BY work_id, author_position;
```
```sql
SELECT * FROM authorships WHERE work_id IN ('W124','W125','W12','W13','W14','W15','W16','W17','W18','W19') ORDER BY work_id, author_position;
```
```sql
SELECT * FROM citations WHERE citing_work_id > 'W52' AND citing_work_id < 'W9' OR citing_work_id IN ('W61','W62','W63','W64','W65','W66','W67','W68','W69') ORDER BY 1,2;
```
Query results 
Query 1:

| work_id | title | year | type | source_id | doi | version_of | is_retracted | record_source |
|---|---|---|---|---|---|---|---|---|
| W39 | Replicating dissipation estimates in plumes | 2024 | ART | S03 | 10.55555/s03.2024.5346 |  | false | FEED |
| W40 | Energy budgets for long-range gliders | 2022 | ART | S02 | 10.55555/s02.2022.4703 |  | false | FEED |
| W41 | Path planning under uncertain currents | 2023 | ART | S03 | 10.55555/s03.2023.3758 |  | false | FEED |
| W42 | Machine-learned tidal forecasts | 2023 | PPR | S05 | 10.55555/s05.2023.6876 | W31 | false | FEED |
| W50 | Battery ageing in autonomous platforms | 2024 | ART | S03 | 10.55555/s03.2024.6324 |  | false | FEED |
| W51 | Benchmarks for marine path planners | 2024 | ART | S02 | 10.55555/s02.2024.8087 |  | false | FEED |
| W52 | Route optimisation for ocean drones | 2025 | ART | S01 | 10.55555/s01.2025.9294 |  | false | FEED |
| W60 | Remote sensing of dune erosion | 2020 | ART | S08 | 10.55555/s08.2020.8236 |  | false | FEED |
| W61 | Uncertainty in marsh accretion estimates | 2022 | ART | S07 | 10.55555/s07.2022.2930 |  | false | FEED |
| W62 | Seasonal variability in dune erosion | 2023 | ART | S08 | 10.55555/s08.2023.5393 |  | false | FEED |
| W63 | Seasonal variability in sediment flux | 2024 | ART | S07 | 10.55555/s07.2024.8504 |  | false | FEED |
| W64 | Remote sensing of internal waves | 2025 | ART | S08 | 10.55555/s08.2025.7711 |  | false | FEED |
| W65 | Observations of dune erosion | 2024 | ART | S08 | 10.55555/s08.2024.6414 |  | false | FEED |
| W66 | Remote sensing of wave runup | 2025 | ART | S07 | 10.55555/s07.2025.5131 |  | false | FEED |
| W67 | Seasonal variability in tidal asymmetry | 2023 | ART | S08 | 10.55555/s08.2023.1192 |  | false | FEED |
| W70 | Optical backscatter in turbid estuaries | 2023 | ART | S02 | 10.55555/s02.2023.6434 |  | false | FEED |
| W71 | Low-power optical sensors for gliders | 2024 | ART | S01 | 10.55555/s01.2024.6287 |  | false | FEED |
| W72 | Integrating optical sensors on survey gliders | 2024 | ART | S03 | 10.55555/s03.2024.9080 |  | false | FEED |
| W73 | Saltmarsh retreat on the Halloran shore | 2022 | ART | S02 | 10.55555/s02.2022.7603 |  | false | CRIS |
| W74 | Coastal squeeze and managed realignment: a review | 2023 | REV | S01 | 10.55555/s01.2023.6139 |  | false | FEED |
| W75 | Rip currents at tourist beaches | 2023 | ART | S04 | 10.55555/s04.2023.3895 |  | false | FEED |
| W76 | Foreword to the Forum proceedings | 2025 | EDT | S06 | 10.55555/s06.2025.4219 |  | false | FEED |
| W90 | Sediment transport in tidal inlets | 2025 | ART | S02 | 10.55555/s02.2025.8585 |  | false | STG |
| W91 | Closure models for wave boundary layers | 2025 | ART | S01 | 10.55555/s01.2025.4607 |  | false | STG |
| W92 | Coastal turbulence: a review | 2025 | REV | S03 | 10.55555/s03.2025.6710 |  | false | STG |

Query 2:

| work_id | title | year | type | source_id | doi | version_of | is_retracted | record_source |
|---|---|---|---|---|---|---|---|---|
| W39 | Replicating dissipation estimates in plumes | 2024 | ART | S03 | 10.55555/s03.2024.5346 |  | false | FEED |
| W40 | Energy budgets for long-range gliders | 2022 | ART | S02 | 10.55555/s02.2022.4703 |  | false | FEED |
| W41 | Path planning under uncertain currents | 2023 | ART | S03 | 10.55555/s03.2023.3758 |  | false | FEED |
| W42 | Machine-learned tidal forecasts | 2023 | PPR | S05 | 10.55555/s05.2023.6876 | W31 | false | FEED |
| W50 | Battery ageing in autonomous platforms | 2024 | ART | S03 | 10.55555/s03.2024.6324 |  | false | FEED |
| W51 | Benchmarks for marine path planners | 2024 | ART | S02 | 10.55555/s02.2024.8087 |  | false | FEED |
| W52 | Route optimisation for ocean drones | 2025 | ART | S01 | 10.55555/s01.2025.9294 |  | false | FEED |
| W60 | Remote sensing of dune erosion | 2020 | ART | S08 | 10.55555/s08.2020.8236 |  | false | FEED |
| W61 | Uncertainty in marsh accretion estimates | 2022 | ART | S07 | 10.55555/s07.2022.2930 |  | false | FEED |
| W62 | Seasonal variability in dune erosion | 2023 | ART | S08 | 10.55555/s08.2023.5393 |  | false | FEED |
| W63 | Seasonal variability in sediment flux | 2024 | ART | S07 | 10.55555/s07.2024.8504 |  | false | FEED |
| W64 | Remote sensing of internal waves | 2025 | ART | S08 | 10.55555/s08.2025.7711 |  | false | FEED |
| W65 | Observations of dune erosion | 2024 | ART | S08 | 10.55555/s08.2024.6414 |  | false | FEED |
| W66 | Remote sensing of wave runup | 2025 | ART | S07 | 10.55555/s07.2025.5131 |  | false | FEED |
| W67 | Seasonal variability in tidal asymmetry | 2023 | ART | S08 | 10.55555/s08.2023.1192 |  | false | FEED |
| W70 | Optical backscatter in turbid estuaries | 2023 | ART | S02 | 10.55555/s02.2023.6434 |  | false | FEED |
| W71 | Low-power optical sensors for gliders | 2024 | ART | S01 | 10.55555/s01.2024.6287 |  | false | FEED |
| W72 | Integrating optical sensors on survey gliders | 2024 | ART | S03 | 10.55555/s03.2024.9080 |  | false | FEED |
| W73 | Saltmarsh retreat on the Halloran shore | 2022 | ART | S02 | 10.55555/s02.2022.7603 |  | false | CRIS |
| W74 | Coastal squeeze and managed realignment: a review | 2023 | REV | S01 | 10.55555/s01.2023.6139 |  | false | FEED |
| W75 | Rip currents at tourist beaches | 2023 | ART | S04 | 10.55555/s04.2023.3895 |  | false | FEED |
| W76 | Foreword to the Forum proceedings | 2025 | EDT | S06 | 10.55555/s06.2025.4219 |  | false | FEED |
| W90 | Sediment transport in tidal inlets | 2025 | ART | S02 | 10.55555/s02.2025.8585 |  | false | STG |
| W91 | Closure models for wave boundary layers | 2025 | ART | S01 | 10.55555/s01.2025.4607 |  | false | STG |
| W92 | Coastal turbulence: a review | 2025 | REV | S03 | 10.55555/s03.2025.6710 |  | false | STG |

Query 3:

| work_id | author_id | author_position | institution_id | affil_seq |
|---|---|---|---|---|
| W08 | A04 | 1 | I07 | 1 |
| W12 | A01 | 1 | I02 | 1 |
| W12 | A16 | 2 | I05 | 1 |
| W13 | A07 | 1 | I03 | 1 |
| W14 | A05 | 1 | I05 | 1 |
| W15 | A15 | 1 | I13 | 1 |
| W16 | A04 | 1 | I07 | 1 |
| W17 | A13 | 1 | I11 | 1 |
| W18 | A11 | 1 | I09 | 1 |
| W19 | A02 | 1 | I02 | 1 |
| W20 | A09 | 1 | I07 | 1 |
| W20 | A13 | 2 | I11 | 1 |
| W21 | A10 | 1 | I08 | 1 |
| W21 | A09 | 2 | I07 | 1 |
| W21 | A11 | 3 | I09 | 1 |
| W21 | A12 | 4 | I10 | 1 |
| W22 | A09 | 1 | I07 | 1 |
| W23 | A09 | 1 | I07 | 1 |
| W24 | A10 | 1 | I08 | 1 |
| W27 | A18 | 1 | I09 | 1 |
| W27 | A13 | 2 | I11 | 1 |
| W27 | A14 | 3 | I12 | 1 |
| W27 | A17 | 4 | I14 | 1 |
| W28 | A19 | 1 | I09 | 1 |
| W28 | A15 | 2 | I13 | 1 |
| W28 | A16 | 3 | I05 | 1 |
| W28 | A06 | 4 | I12 | 1 |
| W29 | A20 | 1 | I09 | 1 |
| W29 | A16 | 2 | I05 | 1 |
| W29 | A15 | 3 | I13 | 1 |
| W29 | A13 | 4 | I11 | 1 |
| W30 | A15 | 1 | I13 | 1 |
| W31 | A17 | 1 | I14 | 1 |
| W32 | A11 | 1 | I09 | 1 |
| W32 | A18 | 2 | I09 | 1 |
| W32 | A19 | 3 | I09 | 1 |
| W32 | A20 | 4 | I09 | 1 |
| W33 | A14 | 1 | I12 | 1 |
| W34 | A06 | 1 | I12 | 1 |
| W35 | A14 | 1 | I12 | 1 |
| W36 | A13 | 1 | I11 | 1 |
| W37 | A05 | 1 | I05 | 1 |
| W38 | A06 | 1 | I12 | 1 |
| W39 | A17 | 1 | I14 | 1 |
| W40 | A11 | 1 | I09 | 1 |
| W41 | A14 | 1 | I12 | 1 |
| W42 | A17 | 1 | I14 | 1 |
| W50 | A17 | 1 | I14 | 1 |
| W51 | A12 | 1 | I10 | 1 |
| W52 | A13 | 1 | I11 | 1 |
| W60 | A34 | 1 | I15 | 1 |
| W61 | A38 | 1 | I15 | 1 |
| W61 | A35 | 2 | I16 | 1 |
| W62 | A34 | 1 | I15 | 1 |
| W62 | A38 | 2 | I15 | 1 |
| W63 | A33 | 1 | I18 | 1 |
| W63 | A34 | 2 | I15 | 1 |
| W63 | A44 | 3 | I17 | 1 |
| W64 | A40 | 1 | I17 | 1 |
| W65 | A36 | 1 | I17 | 1 |
(17 more rows not shown)

Query 4:

| work_id | author_id | author_position | institution_id | affil_seq |
|---|---|---|---|---|
| W12 | A01 | 1 | I02 | 1 |
| W12 | A16 | 2 | I05 | 1 |
| W124 | A31 | 1 | I16 | 1 |
| W125 | A37 | 1 | I18 | 1 |
| W125 | A36 | 2 | I17 | 1 |
| W13 | A07 | 1 | I03 | 1 |
| W14 | A05 | 1 | I05 | 1 |
| W15 | A15 | 1 | I13 | 1 |
| W16 | A04 | 1 | I07 | 1 |
| W17 | A13 | 1 | I11 | 1 |
| W18 | A11 | 1 | I09 | 1 |
| W19 | A02 | 1 | I02 | 1 |

Query 5:

| citing_work_id | cited_work_id |
|---|---|
| W60 | W30 |
| W61 | W30 |
| W62 | W30 |
| W62 | W31 |
| W63 | W30 |
| W64 | W30 |
| W65 | W31 |
| W66 | W31 |
| W67 | W42 |

Run more queries, or give the final answers.
The model 
<parameter name="sql">
</parameter>

```sql
SELECT * FROM authorships WHERE work_id IN ('W65','W66','W67','W70','W71','W72','W73','W74','W75','W76','W90','W91','W92','W09','W10','W04','W05','W06','W07') ORDER BY work_id, author_position, affil_seq;
```
```sql
SELECT * FROM citations WHERE citing_work_id IN ('W70','W71','W72','W73','W74','W75','W76','W90','W91','W92','W67','W68','W69','W20','W21','W22','W30','W31','W36','W37','W38','W42') OR cited_work_id IN ('W70','W71','W72','W73','W74','W75','W76','W90','W91','W92') ORDER BY 1,2;
```
Query results 
Query 1:

| work_id | author_id | author_position | institution_id | affil_seq |
|---|---|---|---|---|
| W04 | A01 | 1 | I02 | 1 |
| W05 | A01 | 1 | I02 | 1 |
| W05 | A07 | 2 | I03 | 1 |
| W06 | A01 | 1 | I02 | 1 |
| W06 | A15 | 2 | I13 | 1 |
| W07 | A02 | 1 | I02 | 1 |
| W65 | A36 | 1 | I17 | 1 |
| W65 | A45 | 2 | I18 | 1 |
| W65 | A35 | 3 | I16 | 1 |
| W66 | A38 | 1 | I15 | 1 |
| W67 | A45 | 1 | I18 | 1 |
| W67 | A35 | 2 | I16 | 1 |
| W70 | A08 | 1 | I04 | 1 |
| W70 | A08 | 1 | I06 | 2 |
| W71 | A08 | 1 | I06 | 1 |
| W71 | A08 | 1 | I04 | 2 |
| W72 | A08 | 1 | I04 | 1 |
| W72 | A07 | 2 | I03 | 1 |
| W73 | A08 | 1 | I06 | 1 |
| W74 | A22 | 1 | I06 | 1 |
| W75 | A15 | 1 | I13 | 1 |
| W90 | A21 | 1 | I07 | 1 |
| W91 | A21 | 1 | I07 | 1 |
| W92 | A21 | 1 | I07 | 1 |

Query 2:

| citing_work_id | cited_work_id |
|---|---|
| W36 | W20 |
| W36 | W21 |
| W67 | W42 |
| W90 | W22 |
| W90 | W41 |
| W91 | W22 |
| W92 | W22 |

Run more queries, or give the final answers.
The model 
Assumptions: "research works" means types ART, REV and PPR, with a preprint merged into the work it is a version of. EDT, ERR, PTX and SUP are excluded, as are the staging (STG) records W90-W92. The retracted W23 is kept. Authors A01-A03 are one person (same ORCID), and K3 is taken as the highest tier.

**Q1.** 1. A01, A02 and A03 share ORCID 0000-0002-9841-6229. A04 ("M. Ellison") has a different ORCID.
**Q2.** W01, W02, W03, W04, W05, W06, W07, W12, W19. These are all works credited to A01, A02 or A03.
**Q3.** No. W37 is by A05 and W38 by A06, and their ORCIDs differ.
**Q4.** 2 (W14, W37).
**Q5.** No. W08 is by A04 (ORCID …8360), and W01 is by A01 (ORCID …6229).
**Q6.** A01, with 6 Albury research works (W01, W03, W06, W07, W12, W19). A07 and A08 have 4 each.
**Q7.** 6. W02 is a preprint of W03 and is merged with it; W04 and W05 are excluded by type.
**Q8.** I01. The chain is I04 → I03 → I02 → I01.
**Q9.** 12 (W01, W03, W06, W07, W12, W13, W19, W70, W71, W72, W73, W74).
**Q10.** 16. This is the 12 above plus W14, W28, W29 and W37 from I05.
**Q11.** 6 (W08, W16, W20, W21, W22, W23).
**Q12.** Full 3 (W20, W21, W22). Fractional 2.0 (0.5 + 0.5 + 1).
**Q13.** Full: I09 (4 vs 3). Fractional: I07 (2.0 vs 1.0).
**Q14.** Full 7 (W06, W12, W13, W28, W29, W71, W72). Fractional 6.0 (1+1+1+0.5+0.5+1+1).
**Q15.** 4 (W12, W21, W28, W51).
**Q16.** 10 (W01, W08, W13, W20, W29, W31, W32, W52, W71, W74).
**Q17.** W04 (editorial) and W05 (erratum).
**Q18.** 4 (W01, W03, W13, W72).
**Q19.** 7 (W12–W18). W15 and W18 cite W02; the rest cite W03.
**Q20.** W02 (version of W03) and W42 (version of W31).
**Q21.** 4 (W27, W31, W39, W50). The preprint W42 is merged into W31.
**Q22.** In total W30 has more: 5 citations against 4 for W31 plus W42. In its window W31 has more: 4 (W62, W65, W66, W67) against 1 for W30 (W60).
**Q23.** Total 5 (W60–W64). Within 2019–2021, 1 (W60).
**Q24.** 4 (W20, W21, W22, W23).
**Q25.** 7 (W20: 3, W21: 2, W22: 1, W23: 1). The staging citers W90–W92 are not counted.
**Q26.** Yes. W23 is a retracted ART but still a research work, and the data gives no rule excluding retractions.
**Q27.** I12, with 3 citing works (W33, W34, W35).
**Q28.** 1 (W32).
**Q29.** Author 2 (W12, W13). Institution 2 (W12, W13). Country 4 (W12, W13, W14, W15).
**Q30.** 3 (W12, W13, W14).
**Q31.** W50, W51, W52 and W90. W40 and W41 cite W01.
**Q32.** 6 (W40, W41, W50, W51, W52, W90).
**Q33.** W20, with 3 citations.
**Q34.** 2 (W08, W16).
**Q35.** 1 (W21).
**Q36.** 0. W17 and W24 are supplements and W76 is an editorial.
**Q37.** I04 is the primary affiliation (affil_seq 1). I06 is a second affiliation, also under I02.
**Q38.** I01, I02, I03, I04, I06. I06 and I04 are listed directly; the rest are their ancestors.
**Q39.** 4 (W01, W13, W71, W74 in S01).
**Q40.** S01 (K3).
**Q41.** No. S03 is K1 and S02 is K2, so S03 is lower, assuming a larger K number means a higher tier.
**Q42.** 2 (W07, W75).
**Q43.** Yes. W07 is an ART.
**Q44.** I02, I03, I04, I05, I06.
**Q45.** 4 (W70, W71, W73, W74).
**Q46.** I01. The chain is I06 → I02 → I01.
**Q47.** Rostval has more works under full counting (4 vs 3). Under fractional counting Kesting has more (2.0 vs 1.0). Rostval contributes only one author to each of its four multi-author 2024 papers, so each earns a small share. Kesting has sole-author or high-share papers (W22, W20, W21).
**Q48.** The premise is wrong. I04 → I03 → I02, so W70 is one of the University of Albury's works.

```json
{"Q1":{"count":1},"Q2":{"works":["W01","W02","W03","W04","W05","W06","W07","W12","W19"]},"Q3":{"same":"no"},"Q4":{"count":2},"Q5":{"same":"no"},"Q6":{"author":"A01"},"Q7":{"count":6},"Q8":{"parent":"I01"},"Q9":{"count":12},"Q10":{"count":16},"Q11":{"count":6},"Q12":{"full":3,"fractional":2.0},"Q13":{"full":"I09","fractional":"I07"},"Q14":{"full":7,"fractional":6.0},"Q15":{"count":4},"Q16":{"count":10},"Q17":{"works":["W04","W05"]},"Q18":{"count":4},"Q19":{"count":7},"Q20":{"works":["W02","W42"]},"Q21":{"count":4},"Q22":{"more_in_total":"W30","more_in_window":"W31"},"Q23":{"total":5,"in_window":1},"Q24":{"count":4},"Q25":{"count":7},"Q26":{"counts":"yes"},"Q27":{"institution":"I12","citing_works":3},"Q28":{"count":1},"Q29":{"author":2,"institution":2,"country":4},"Q30":{"count":3},"Q31":{"works":["W50","W51","W52","W90"]},"Q32":{"count":6},"Q33":{"work":"W20"},"Q34":{"count":2},"Q35":{"count":1},"Q36":{"count":0},"Q37":{"institution":"I04"},"Q38":{"institutions":["I01","I02","I03","I04","I06"]},"Q39":{"count":4},"Q40":{"source":"S01"},"Q41":{"higher":"no"},"Q42":{"count":2},"Q43":{"research":"yes"},"Q44":{"institutions":["I02","I03","I04","I05","I06"]},"Q45":{"count":4},"Q46":{"parent":"I01"}}
```