Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
11,177
datasets available to search
ShareScore release 0.9.0
Dataset results
11,177 results for “identify”
Supplementary material 2 from: Chen R, Fang C, Shih F, King C (2016) A Scoring System for Identifying Severe Cases of Influenza-like Illness by Comorbidity and Age - A Nationwide Cohort Analysis. Research Ideas and Outcomes 2: e9648. https://doi.org/10.3897/rio.2.e9648
A sample SAS SQL program code fragment is attached.
Supplementary material 1 from: Chen R, Fang C, Shih F, King C (2016) A Scoring System for Identifying Severe Cases of Influenza-like Illness by Comorbidity and Age - A Nationwide Cohort Analysis. Research Ideas and Outcomes 2: e9648. https://doi.org/10.3897/rio.2.e9648
Options for the Control of Influenza VIII Conference Programme Book
Supplementary material 3 from: Chen R, Fang C, Shih F, King C (2016) A Scoring System for Identifying Severe Cases of Influenza-like Illness by Comorbidity and Age - A Nationwide Cohort Analysis. Research Ideas and Outcomes 2: e9648. https://doi.org/10.3897/rio.2.e9648
A sample Stata program code fragment is attached.
Figure 1 from: Jay C, Haines R, Vigo M, Matentzoglu N, Stevens R, Boyle J, Davies A, Del Vescovo C, Gruel N, Le Blanc A, Mawdsley D, Mellor D, Mikroyannidi E, Rollins R, Rowley A, Vega J (2017) Identifying the challenges of code/theory translation: report from the Code/Theory 2017 workshop. Research Ideas and Outcomes 3: e13236. https://doi.org/10.3897/rio.3.e13236
Figure 1 - In many areas of research, science is now produced at the intersection of the 'software', contributed by programmers, and the 'story', or theoretical narrative, contributed by domain experts. In team-based research, everyone is a scientist.
Figure 1 from: Zuquim G, Tuomisto H, Prado J (2017) A free-access online key to identify Amazonian ferns. PhytoKeys 78: 1-15. https://doi.org/10.3897/phytokeys.78.11370
Figure 1 - Morphological variation in Asplenium pearcei Baker. Three fertile individuals of Asplenium pearcei Baker showing different patterns in leaf dissection. A entire leaves B pinnate leaves and C lobed leaves. All states were scored in the features table.
Figure 2 from: Zuquim G, Tuomisto H, Prado J (2017) A free-access online key to identify Amazonian ferns. PhytoKeys 78: 1-15. https://doi.org/10.3897/phytokeys.78.11370
Figure 2 - Structure of the key under development in LucidBuilder. Screenshots of the key been developed in Lucid Builder V3.5. A spreadsheet scoring table view B tree view mode of the scores for a single species C an example of features positive relationship: the plus sign associated with "number of included free veinlets" and "orientation of included free veinlets" shows that these features are controlled by the highlighted state ("usually present" under "included free veinlets"). All controlling states for some feature in the key are marked in red D frequency plot of the number of differences among pairs of entities and a list of those entities that have at most 10 different scores among them.
Figure 3 from: Zuquim G, Tuomisto H, Prado J (2017) A free-access online key to identify Amazonian ferns. PhytoKeys 78: 1-15. https://doi.org/10.3897/phytokeys.78.11370
Figure 3 - Available contents of the online fern keys. Screenshots of the online key. A Entrance page with a list to all available keys B an overview of the key after two features have been scored, (C) link to possible identification occurrence map in GBIF D description of the entity that possibly matches the plant needing identification.
Figure 1 in Actionable, long-term stable and semantic web compatible identifiers for access to biological collection objects
Figure 1. Example specimen. Example physical herbarium object and its stable HTTP URI identifier.
Figure 1 from: Versieux LM, Dávila N, Delgado GC, de Sousa VF, de Moura EO, Filgueiras T, Alves MV, Carvalho E, Piotto D, Forzza RC, Calvente A, Jardim JG (2017) Integrative research identifies 71 new plant species records in the state of Rio Grande do Norte (Brazil) and enhances a small herbarium collection during a funding shortage. PhytoKeys 86: 43-74. https://doi.org/10.3897/phytokeys.86.13775
Figure 1 - Map of Rio Grande do Norte state and municipalities, phytogeographical domains (Atlantic Rainforest and Caatinga), conglomerates points and new botanical records.
Figures 4-9 from: Ding J-H, Sun J-L, Zhang X (2017) A new species of the water mite genus Sperchon Kramer, 1877 from China, with identifying Sperchon rostratus Lundblad, 1969 through DNA barcoding (Acari, Hydrachnidia, Sperchontidae). ZooKeys 707: 47-61. https://doi.org/10.3897/zookeys.707.13493
Figures 4-9 - Sperchon fuxiensis sp. n., Female 4 infracapitulum 5 chelicera 6 palp 7 IV-L-1–IV-L-6 8 claw 9 dorsal seta of IV-L-5.
Figures 18-19 from: Ding J-H, Sun J-L, Zhang X (2017) A new species of the water mite genus Sperchon Kramer, 1877 from China, with identifying Sperchon rostratus Lundblad, 1969 through DNA barcoding (Acari, Hydrachnidia, Sperchontidae). ZooKeys 707: 47-61. https://doi.org/10.3897/zookeys.707.13493
Figures 18-19 - Sperchon rostratus Lundblad, 1969, Female 18 idiosoma, dorsal view 19 idiosoma, ventral view.
Figures 13-17 from: Ding J-H, Sun J-L, Zhang X (2017) A new species of the water mite genus Sperchon Kramer, 1877 from China, with identifying Sperchon rostratus Lundblad, 1969 through DNA barcoding (Acari, Hydrachnidia, Sperchontidae). ZooKeys 707: 47-61. https://doi.org/10.3897/zookeys.707.13493
Figures 13-17 - Sperchon rostratus Lundblad, 1969, Male 13 infracapitulum 14 chelicera 15 palp 16 claw 17 IV-L-1–IV-L-6.
Figure 20 from: Ding J-H, Sun J-L, Zhang X (2017) A new species of the water mite genus Sperchon Kramer, 1877 from China, with identifying Sperchon rostratus Lundblad, 1969 through DNA barcoding (Acari, Hydrachnidia, Sperchontidae). ZooKeys 707: 47-61. https://doi.org/10.3897/zookeys.707.13493
Figure 20 - Phylogenetic tree based on barcode region of COI of Sperchon plumifer, Sperchon rostratus, and Sperchonopsis echphyma. The bootstrap proportions of neighbour-joining and maximum-likelihood are indicated above each branch in the format of NJ/ML. Sperchonopsis echphyma was used as the outgroup.
Figures 1-3 from: Ding J-H, Sun J-L, Zhang X (2017) A new species of the water mite genus Sperchon Kramer, 1877 from China, with identifying Sperchon rostratus Lundblad, 1969 through DNA barcoding (Acari, Hydrachnidia, Sperchontidae). ZooKeys 707: 47-61. https://doi.org/10.3897/zookeys.707.13493
Figures 1-3 - Sperchon fuxiensis sp. n., Female 1 idiosoma, dorsal view 2 idiosoma, ventral view 3 structure of integument.
Figures 10-12 from: Ding J-H, Sun J-L, Zhang X (2017) A new species of the water mite genus Sperchon Kramer, 1877 from China, with identifying Sperchon rostratus Lundblad, 1969 through DNA barcoding (Acari, Hydrachnidia, Sperchontidae). ZooKeys 707: 47-61. https://doi.org/10.3897/zookeys.707.13493
Figures 10-12 - Sperchon rostratus Lundblad, 1969, Male 10 idiosoma, dorsal view 11 idiosoma, ventral view 12 structure of integument.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Egon Köhler, <a href="http://www.wikidata.org/entity/Q21517675">http://www.wikidata.org/entity/Q21517675</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Andrea Weeks, <a href="https://orcid.org/0000-0002-0000-4541">https://orcid.org/0000-0002-0000-4541</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Dataset supporting 'Identifying areas where biodiversity is at risk from potential cocoa expansion in the Congo Basin'
<div> <p>This supporting dataset is from a study titled 'Identifying areas where biodiversity is at risk from potential cocoa expansion in the Congo Basin' by Kamath et al. (2024).</p> <ol> <li>GEE_script_RWR: Google Earth Engine script used to create a rarity weighted (i.e. weighted endemism) map and export it to Google Drive as a GeoTIFF.</li> <li>cocoa_points: Database of cocoa occurrence locations that were used to model the global distribution of suitable climates for cocoa production. Further details on the methods can be found in the paper.<br><br>Publication reference:<br>Kamath, V., Sassen, M., Arnell, A., van Soesbergen, A., & Bunn, C. (2024). Identifying areas where biodiversity is at risk from potential cocoa expansion in the Congo Basin. Agriculture, Ecosystems & Environment, 376, 109216. https://doi.org/10.1016/j.agee.2024.109216</li> </ol> </div>
Identifying and mapping the different ecosystem services around Mosvatnet from the 1930s until present day
Open the record for dataset details and reuse information.
IDENTIFYING STUDENTS' TALENTS AND THEIR PEDAGOGICAL SKILLS IN TALENT DEVELOPMENT PLACE
Open the record for dataset details and reuse information.
ScienceDex guides
Understand access before you commit
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.