Datasetsmetadata only
Figshare
figshare · Datasets · License: Open Access
5,899Documents
0Full text
2026-09-07Last indexed
Recent documents from this source
- Table 2_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422565
- Supplementary file 2_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422564
- Supplementary file 3_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422563
- Supplementary file 4_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422562
- Table 9_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422561
- Supplementary file 1_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422560
- Table 6_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422559
- Table 7_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422558
- Table 8_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422557
- Table 4_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422556
- Table 5_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422555
- Improving Children’s Diets by Introducing Fruits and Vegetables in Group-Based Settings: A Scoping Review#422554
- Table 3_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422553
- Table 1_Safety, accuracy, empathy, reliability, and readability of large language model chatbot responses to public-facing vegetarian and vegan nutrition advice questions: a cross-sectional comparative study.docx#422552
- How Does Cognition Break Boundaries#422551
- Accor Technologies LLC | Best Software Development Company in Dubai, UAE#422550
- γ‑Ray
PIN Diodes Made of CH<sub>3</sub>NH<sub>3</sub>PbBr<sub>3</sub> Perovskite
Single Crystals Assisted
with Highly Doped Epitaxial Layers#422549
- SDU-MI: An EEG Dataset for Eight-Class Motor Imagery Decoding#422548
- 认知何以破界?#422547
- Genome annotation of <i>Brownlowia tersa</i> and <i>Brownlowia argentata</i>#422546
Source record · figshare · Datasets · License: Open Access
Conceptio Open Knowledge Archive — counts are materialised per sync from the index (real full-text coverage, never license entitlement).