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2,221 to 2,230 of 7,467 Results
inrae_mod_max_3d.nc
Sep 24, 2024 - AQUAEXCEL 3.0 simulated flow fields in aquaculture tanks
Network Common Data Form - 366.2 MB - MD5: f6dbabd28a2f7e6728f3c89a734576bc
inrae_mod_min_3d.nc
Sep 24, 2024 - AQUAEXCEL 3.0 simulated flow fields in aquaculture tanks
Network Common Data Form - 366.2 MB - MD5: 512a20373bfb34bce518503826478420
inrae_orig_max_3d.nc
Sep 24, 2024 - AQUAEXCEL 3.0 simulated flow fields in aquaculture tanks
Network Common Data Form - 366.2 MB - MD5: 4e2bd1f7ceac9018a7d19e53139748cf
inrae_orig_min_3d.nc
Sep 24, 2024 - AQUAEXCEL 3.0 simulated flow fields in aquaculture tanks
Network Common Data Form - 366.2 MB - MD5: d2d7c37f9161238d966886ea3694481f
NOFIMA.nc
Sep 24, 2024 - AQUAEXCEL 3.0 simulated flow fields in aquaculture tanks
Network Common Data Form - 71.5 MB - MD5: 01fdfd36e9a94a8878732c6c31ed888c
VURH.nc
Sep 24, 2024 - AQUAEXCEL 3.0 simulated flow fields in aquaculture tanks
Network Common Data Form - 71.5 MB - MD5: b51da5049ccc9d9237f692f05051a80e
EcoVal_Participants.csv
Sep 19, 2024 - Replication Data for: On the role of ecological validity in language and speech research
Comma Separated Values - 5.9 KB - MD5: f3604c0cf868b4e5168c99a2e7ab6db2
Sociodemographic, linguistic and professional information about the participants.
EcoVal_Questionnaire_Responses.csv
Sep 19, 2024 - Replication Data for: On the role of ecological validity in language and speech research
Comma Separated Values - 38.7 KB - MD5: 862ae3e7fc058765ffe07c0d85a9855c
Respondents' answers to the open-ended questions about ecological validity.
EcoVal_Ratings.csv
Sep 19, 2024 - Replication Data for: On the role of ecological validity in language and speech research
Comma Separated Values - 37.4 KB - MD5: 36713c729c230b634c16642c85823891
Respondents' ratings of the speech excerpts in the survey.
02bahato_data.csv
Sep 17, 2024 - Replication Data for: Understanding ‘many’ through the lens of Ukrainian багато
Comma Separated Values - 18.3 MB - MD5: b825b1087211c667ab8ecfa11a9ddf5b
This is the dataset for the statistical analysis of the Ukrainian bahato construction extracted from the GRAC corpus. This dataset contains 28,491 rows each representing an observation of a subject quantified by багато ‍’many’ and a verb in Ukrainian.
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