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Dataset results
107 results for “Archetype”
Figure 5 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 5. Responses to the jumping spider, high detail text prompt by the NightCafe Stable Diffusion engine (#3).
Figure 32 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 32. Responses to the jumping spider walking on vegetation text prompt by the Deep Dream Generator engine (#11).
Figure 17 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 17. Responses to the jumping spider, high detail text prompt by the Starryai Argo 2 engine (#8).
Figure 21 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 21. Responses to the jumping spider, high detail text prompt by the OpenAI DALL-E 2 engine (#10).
Figure 28 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 28. Responses to the salticid, high detail text prompt by the Huggingface Stable Diffusion 2.1 engine (#6).
Figure 31 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 31. Responses to the jumping spider walking on vegetation text prompt by the Deep Dream Generator engine (#11). One limitation of this and similar diffusion engines lies in their inability to consistently count serial objects (e.g., eyes in a row), but they are very good at creatively combining different text inputs to produce surrealistic images.
Figure 27 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 27. Responses to the Phidippus jumping spider, high detail prompt by the Huggingface Stable Diffusion 2.1 engine (#6).
Figure 29 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 29. Responses to the Salticidae, high detail text prompt by the Huggingface Stable Diffusion 2.1 engine (#6).
Figure 7 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 7. Responses to the jumping spider, high detail text prompt by the Stable Diffusion Playground engine (#4).
Figure 13 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 13. Responses to the jumping spider, high detail text prompt by the Huggingface Stable Diffusion 2.1 engine (#6).
Figure 16 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 16. Responses to the jumping spider, high detail text prompt by the Replicate Stable Diffusion engine (#7).
Figure 22 in Archetypes of the jumping spider (Araneae: Salticidae) as derived by intelligent machines
Figure 22. Responses to the jumping spider, high detail text prompt by the OpenAI DALL-E 2 engine (#10).
Archetypes of Nature-based Solutions (NbS) for farming in the North York Moors National Park
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Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Massanutten Mountain GeoTIFF
<p>An elevation model of Massanutten Mountain, Virginia, USA</p> <p>Landform features: folded ridges, hogback, water gap, meander</p> <p>Resolution: 10 meter, 3,900 x 3,900 height samples</p> <p>File format: GeoTIFF</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Sandhills GeoTIFF
<p>An elevation model of Sandhills, Nebraska, USA</p> <p>Landform features: stabilized dune field</p> <p>Resolution: 10 meter, 4,500 x 4,500 height samples</p> <p>File format: GeoTIFF</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Jackson Hole (riverbed) GeoTIFF
<p>An elevation model of Jackson Hole, Wyoming, USA</p> <p>Landform features: braided river, fluvial terrace</p> <p>Resolution: 2 meter, 4,200 x 4,200height samples</p> <p>File format: GeoTIFF</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Sandhills ASCII
<p>An elevation model of Sandhills, Nebraska, USA</p> <p>Landform features: stabilized dune field</p> <p>Resolution: 10 meter, 4,500 x 4,500 height samples</p> <p>File format: Esri ASCII grid</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>Version 1.0.1 removes empty space characters from the file header, which prevented the file from being opened by some software.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Crater Lake ASCII
<p>An elevation model of Crater Lake, Oregon, USA</p> <p>Landform features: caldera, cinder cone, lava flow</p> <p>Resolution: 3.33 meter, 5,200 x 5,200 height samples</p> <p>File format: Esri ASCII grid</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>Version 1.0.1 removes empty space characters from the file header, which prevented the file from being opened by some software.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Jackson Hole (riverbed) ASCII
<p>An elevation model of Jackson Hole, Wyoming, USA</p> <p>Landform features: braided river, fluvial terrace</p> <p>Resolution: 2 meter, 4,200 x 4,200 height samples</p> <p>File format: Esri ASCII grid</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>Version 1.0.1 removes empty space characters from the file header, which prevented the file from being opened by some software.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Great Sand Dunes ASCII
<p>An elevation model of Great Sand Dunes, Colorado, USA</p> <p>Landform features: active dune field, sand sheet, sabkha</p> <p>Resolution: 3.3 meter, 5,300 x 5,300 height samples</p> <p>File format: Esri ASCII grid</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>Version 1.0.1 removes empty space characters from the file header, which prevented the file from being opened by some software.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.