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FIGURE 22 in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 22. Chemical structure of the ingredients of gum dammar from an unknown species.
FIGURE 6 in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 6. Chemical structure of the ingredients of Canada balsam from Abies balsamea.
FIGURE 10 in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 10. Chemical structure of the resin acids of Venetian turpentine from Larix decidua.
FIGURE 8 in Collection management and study of microscope slides: Storage, profiling, deterioration, restoration procedures, and general recommendations
FIGURE 8. Chemical structure of the other potential ingredients of Euparal.
Supplementary material 1 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Species occurrence data sources metadata
Supplementary material 1 from: Egloff W, Agosti D, Patterson D, Hoffmann A, Mietchen D, Kishor P, Penev L (2016) Data Policy Recommendations for Biodiversity Data. EU BON Project Report. Research Ideas and Outcomes 2: e8458. https://doi.org/10.3897/rio.2.e8458
MS841: Biodiversity data publishing legal framework report
Supplementary material 3 from: Egloff W, Agosti D, Patterson D, Hoffmann A, Mietchen D, Kishor P, Penev L (2016) Data Policy Recommendations for Biodiversity Data. EU BON Project Report. Research Ideas and Outcomes 2: e8458. https://doi.org/10.3897/rio.2.e8458
MS241: Specification for registry and metadata catalogue
Supplementary material 2 from: Egloff W, Agosti D, Patterson D, Hoffmann A, Mietchen D, Kishor P, Penev L (2016) Data Policy Recommendations for Biodiversity Data. EU BON Project Report. Research Ideas and Outcomes 2: e8458. https://doi.org/10.3897/rio.2.e8458
MS971: Data sharing agreement
Figure 4 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 4 - European Starling Sturnus vulgaris (Linnaeus, 1758) occurrences visualized in GBIF portal (A), distribution map in Fauna Europaea (B) and occurrences in Latvian national observation portal dabastati.lv (C).
Figure 3 from: Runnel V, Wetzel F, Groom Q, Koch W, Pe'er I, Valland N, Panteri E, Kõljalg U (2016) Summary report and strategy recommendations for EU citizen science gateway for biodiversity data. Research Ideas and Outcomes 2: e11563. https://doi.org/10.3897/rio.2.e11563
Figure 3 - Peacock Butterfly Aglais io (Linnaeus, 1758) occurrences visualized in GBIF portal (A), distribution map in Fauna Europaea (B) and occurrences in Latvian national observation portal dabastati.lv (C).
Statistical Errors in Experimental Software Engineering: Possible Causes and Recommended Solutions
<p>to define</p>
Data for The "Effect of Semantic Knowledge Graph Richness on Embedding Based Recommender Systems"
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Supplementary material - Dietary intake of adolescents and alignment with recommendations for healthy and sustainable diets: results of the SI.Menu study
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Helius DT Techniques Recommendation Tool - Video
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The Hidden Cost of Code Completion: Understanding the Impact of the Recommendation-list Length on its Efficiency
<p>This contains the data set and the code we take advantage of to process data and make visualization. The data set needs to be unzipped before the program could run on it. Besides, we choose another visualization tool to make the results more explicit.</p>
MMTF-14K: A Multifaceted Movie Trailer Dataset for Recommendation and Retrieval
<p>The MMTF-14K dataset provides a stable and extensive source for devising and evaluating movie recommender systems. MMTF-14K contains <strong><a href="https://mmprj.github.io/mtrm_dataset/datasets">audio and visual descriptors</a></strong> in addition to ratings and metadata for 13,623 Hollywood-type movie trailers. The dataset therefore facilitates research on content-based recommender systems, where content refers not only to metadata, but specifically to visual and auditory characteristics of movies. The data comes also with several baselines <a href="https://mmprj.github.io/mtrm_dataset/benchmark">benchmarking results</a> for uni-modal and multi-modal recommendation systems. The dataset therefore facilitates research on movie recommendation. In addition, the rich data supports the exploration of other multimedia tasks such as popularity prediction, genre classification, or auto-tagging (aka tag prediction).</p> <p>The MMTF-14K dataset has been created as a joint research work by <a href="http://www.ir.disco.unimib.it/yashar-deldjoo/">Yashar Deldjoo </a>(Politecnico di Milano, Italy), <a href="http://www.campus.pub.ro/lab7/gconstantin/">Mihai Gabriel Constantin </a>and <a href="http://campus.pub.ro/lab7/bionescu/">Bogdan Ionescu </a>(University Politehnica of Bucharest, Romania), <a href="http://www.cp.jku.at/people/schedl/">Markus Schedl </a>(Johannes Kepler University Linz, Austria), and <a href="https://scholar.google.it/citations?hl=en&user=dTSOPCMAAAAJ&view_op=list_works&sortby=pubdate">Paolo Cremonesi </a>(Politecnico di Milano, Italy).</p> <p>We would like to acknowledge MovieLens here for providing a stable benchmark dataset of movies containing individual user ratings and metadata which is an enabler for doing research on movie recommendation. Please consider the <a href="http://files.grouplens.org/datasets/movielens/ml-20m-README.html">MovieLens-20M web page</a> for more details on the ratings and tags datasets.</p> <p>For acknowledgments please use our paper:</p> <p>@inproceedings{deldjooMMTF14K, <br> title={MMTF-14K: A Multifaceted Movie Trailer Feature Dataset for Recommendation and Retrieval}, <br> author={Deldjoo, Yashar and Constantin, Mihai Gabriel and Schedl, Markus and Ionescu, Bogdan and Cremonesi, Paolo}, <br> booktitle={Proceedings of the 9th ACM Multimedia Systems Conference}, <br> year={2018}, <br> organization={ACM}}</p> <p>For further inquiries you are free to contact Yashar Deldjoo through his email: <a href="mailto:deldjooy@acm.org">deldjooy@acm.org </a>.</p>
Supplementary material 1 from: An LT, Markowski J, Bartos M, Rzenca A, Namiecinski P (2019) An evaluation of destination attractiveness for nature-based tourism: Recommendations for the management of national parks in Vietnam. Nature Conservation 32: 51-80. https://doi.org/10.3897/natureconservation.32.30753
: Data type: species data
Supplementary material 2 from: An LT, Markowski J, Bartos M, Rzenca A, Namiecinski P (2019) An evaluation of destination attractiveness for nature-based tourism: Recommendations for the management of national parks in Vietnam. Nature Conservation 32: 51-80. https://doi.org/10.3897/natureconservation.32.30753
: Data type: species data
Figure 2. A in Development of experimental mesocosms for cicada nymphs Graptopsaltria nigrofuscata: methodology and research recommendations
Figure 2. A paired box plot for comparing fresh weight (gram) of final instar Graptopsaltria nigrofuscata nymphs between the beginning (16-Apr, Blue) and the end (6 Jul, Red) of the mesocosm experiment. Two points of 16 Apr data with no line connected to 6 Jul are fresh weight of cicada nymphs that died until the end of experiment. Paired t-test indicated a significant increase in fresh weight of the nymphs from April to July (t = -2.8334, df = 5, p-value = 0.037).
Recommendations Generated by chatGPT
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ScienceDex guides
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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.