D1 sql, run 4: the query session
10 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 inspecting the tables.
```sql
SELECT * FROM institutions ORDER BY institution_id;
```
```sql
SELECT * FROM authors ORDER BY author_id;
```
```sql
SELECT * FROM sources ORDER BY source_id;
```
```sql
SELECT * FROM works ORDER BY work_id;
```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:
| 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)
Run more queries, or give the final answers.The model
<invoke name="sql">
</invoke>
```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 authorships ORDER BY work_id, author_position, affil_seq;
```
```sql
SELECT * FROM citations ORDER BY citing_work_id, cited_work_id;
```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 | 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
```sql
SELECT * FROM authorships ORDER BY work_id, author_position, affil_seq OFFSET 60;
```
```sql
SELECT * FROM citations ORDER BY citing_work_id, cited_work_id OFFSET 60;
```Query results
Query 1:
| work_id | author_id | author_position | institution_id | affil_seq |
|---|---|---|---|---|
| W123 | A30 | 3 | I15 | 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 |
| 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 |
(18 more rows not shown)
Query 2:
| citing_work_id | cited_work_id |
|---|---|
| W62 | W30 |
| W62 | W31 |
| W63 | W30 |
| W64 | W30 |
| W65 | W31 |
| W66 | W31 |
| W67 | W42 |
| W90 | W22 |
| W90 | W41 |
| W91 | W22 |
| W92 | W22 |
Run more queries, or give the final answers.The model
<invoke name="sql">
</invoke>
```sql
SELECT * FROM authorships ORDER BY work_id, author_position, affil_seq OFFSET 120;
```Query results
Query 1:
| work_id | author_id | author_position | institution_id | affil_seq |
|---|---|---|---|---|
| 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 |
Run more queries, or give the final answers.The model
**Q1.** 1. A01, A02 and A03 share ORCID 0000-0002-9841-6229. The other "M. Ellison" (A04) has a different ORCID.
**Q2.** W01, W02, W03, W04, W05, W06, W07, W12, W19. These are A01's works plus those of A02 (W02, W07, W19) and A03 (W03), who are the same person by ORCID.
**Q3.** No. W37 is by A05 and W38 by A06, and their ORCIDs differ.
**Q4.** 2 (W14, W37).
**Q5.** No. W08's M. Ellison is A04, whose ORCID differs from Mara's.
**Q6.** A01. She has 6 research works credited to I02 and its units (W01, W03, W06, W07, W12, W19). A08 has 4 and A07 has 4.
**Q7.** 6 (W01, W03, W06, W07, W12, W19). I counted the preprint W02 as a version of W03, not a separate work.
**Q8.** I01 (I04 → I03 → I02 → I01).
**Q9.** 12 (W01, W03, W06, W07, W12, W13, W19, W70, W71, W72, W73, W74). I counted research output as ART, REV and standalone preprints. I left out editorials (EDT), errata (ERR), front matter (PTX), supplements (SUP), preprints that are versions of another work, and records from the STG (staging) source.
**Q10.** 16. This is the 12 above plus W14, W28, W29 and W37 via I05.
**Q11.** 6 (W08, W16, W20, W21, W22, W23). W24 is a supplement and W90–92 are STG records.
**Q12.** Full 3, fractional 2.0. W20 contributes 0.5, W21 contributes 0.5 (I08 and I07 are one author each of four), and W22 contributes 1.
**Q13.** Full counting: I09 (4 works against 3). Fractional counting: I07 (2.0 against 1.0).
**Q14.** Full 7, fractional 6.0. The works are W06, W12, W13, W71 and W72 at 1 each, and W28 and W29 at 0.5 each.
**Q15.** 4 (W12, W21, W28, W51). W05 and W10 are not research output by type.
**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, W13, W14, W15, W16, W17, W18).
**Q20.** W02 (preprint of W03) and W42 (preprint of W31).
**Q21.** 4 (W27, W31, W39, W50). W42 is a preprint version of W31.
**Q22.** In total, W30 has more citations (5 against 4). Within its publication year and the two after, W31 has more (4 against 1).
**Q23.** Total 5 (W60–W64). Within 2019–2021 only W60 qualifies, so 1.
**Q24.** 4 (W20, W21, W22, W23).
**Q25.** 7. W20 has 3, W21 has 2, W22 has 1 and W23 has 1. This excludes the three STG citations of W22.
**Q26.** Yes. The record is flagged retracted but is still an article, so I counted it. Whether retracted works should count is a policy choice the data doesn't settle.
**Q27.** I12 (Université de Lorvain), 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, W90. These cite W40 or W41, which are the works citing W01. W90 is an STG record.
**Q32.** 6 (W40, W41, W50, W51, W52, W90).
**Q33.** W20, with 3 citations. W22 has 1 citation once the STG citing records are excluded.
**Q34.** 2 (W08, W16).
**Q35.** 1 (W21).
**Q36.** 0. W17 and W24 are supplements and W76 is an editorial.
**Q37.** I04 (Tessel Laboratory, the first affiliation). The author also lists I06 second.
**Q38.** I06, I04, I03, I02, I01. W71 lists I06 and I04, and I04 rolls up through I03 and I02 to I01.
**Q39.** 4 (W01, W13, W71, W74), taking S01 (K3) as the highest tier.
**Q40.** S01. This assumes a larger K number means a higher tier; the data doesn't state the direction.
**Q41.** Depends. S03 is K1 and S02 is K2, so the answer turns on which direction the tiers run, which the data doesn't say.
**Q42.** 2 (W07, W75).
**Q43.** Yes. W07 is an article with no retraction flag.
**Q44.** I02, I03, I04, I05, I06.
**Q45.** 4 (W70, W71, W73, W74).
**Q46.** I01 (I06 → I02 → I01).
**Q47.** Rostval has one author on each of four multi-author works (W21, W27, W28, W29), so it wins on full counting (4 against 3). Kesting holds the whole of W22 and half of W20 and W21, so it wins on fractional counting (2.0 against 1.0).
**Q48.** The premise doesn't hold. W70 is credited to I04, which sits under I03 and I02, so it 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":["I06","I04","I03","I02","I01"]},
"Q39":{"count":4},
"Q40":{"source":"S01"},
"Q41":{"higher":"depends"},
"Q42":{"count":2},
"Q43":{"research":"yes"},
"Q44":{"institutions":["I02","I03","I04","I05","I06"]},
"Q45":{"count":4},
"Q46":{"parent":"I01"}
}
```