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20,299 results for “Systematic”
Linked collectors and determiners for: Systematics of Mendoncia (Acanthaceae: Thunbergioideae) in the Paleotropics.
Natural history specimen data linked to collectors and determiners held within, "Systematics of Mendoncia (Acanthaceae: Thunbergioideae) in the Paleotropics". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/cd311325-4188-40bf-b36c-fedbfc64d9ff">https://bionomia.net/dataset/cd311325-4188-40bf-b36c-fedbfc64d9ff</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/cd311325-4188-40bf-b36c-fedbfc64d9ff">https://gbif.org/dataset/cd311325-4188-40bf-b36c-fedbfc64d9ff</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: A new species of Austrophasiopsis Townsend (Diptera: Tachinidae) from Nepal with systematic notes on the genus.
Natural history specimen data linked to collectors and determiners held within, "A new species of Austrophasiopsis Townsend (Diptera: Tachinidae) from Nepal with systematic notes on the genus". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="http://bionomia.net/dataset/53fc1318-6d39-4f8e-a7f7-f5a5d953b66e">https://bionomia.net/dataset/53fc1318-6d39-4f8e-a7f7-f5a5d953b66e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/53fc1318-6d39-4f8e-a7f7-f5a5d953b66e">https://gbif.org/dataset/53fc1318-6d39-4f8e-a7f7-f5a5d953b66e</a>. Formatted as a Frictionless Data package.
Fig. 1 in Molecular phylogenetics and species-level systematics of Baylisascaris
Fig. 1. Bayesian consensus tree based on combined FULL data (8 genes; not including hars1). Branch lengths are scaled to the expected number of substitutions per site. Numbers above nodes are Bayesian posterior probabilities, shown when 0.90 and greater.
Fig. 3 in Molecular phylogenetics and species-level systematics of Baylisascaris
Fig. 3. Bayesian consensus tree based on FULL mitochondrial gene sequences (3 genes). Branch lengths are scaled to the expected number of substitutions per site. Numbers above nodes represent Bayesian posterior probabilities, shown when 0.90 and greater.
Fig. 2 in Molecular phylogenetics and species-level systematics of Baylisascaris
Fig. 2. Bayesian consensus tree based on FULL data from nuclear genes (5 genes; not including hars1). Branch lengths are scaled to the expected number of substitutions per site. Numbers above nodes represent Bayesian posterior probabilities, shown when 0.90 and greater.
Fig. 9 in Database of National Species List of Korea: the taxonomical systematics platform for managing scientific names of Korean native species
Fig. 9. Web page of management of common names in Database of Korean National Species List. This web page displays the list of common names registered in the database.
Fig. 8 in Database of National Species List of Korea: the taxonomical systematics platform for managing scientific names of Korean native species
Fig. 8. Web pages of management function of special list of species defined by law. (A) Presents the web interface of searching taxon with five functions. (B) shows the list of registered species defined by law with Korean name.
Fig. 10 in Database of National Species List of Korea: the taxonomical systematics platform for managing scientific names of Korean native species
Fig. 10. Web pages of management of references in Database of Korean National Species List. (A) Shows the list of references with function to assign references to taxa. (B) Web interface of function assigning reference to taxa.
Fig. 7 in Database of National Species List of Korea: the taxonomical systematics platform for managing scientific names of Korean native species
Fig. 7. Web page of list of special list of species defined by law. This web page provides management function of special list of species defined by law.
Fig. 5 in Database of National Species List of Korea: the taxonomical systematics platform for managing scientific names of Korean native species
Fig. 5. Introduction page of Korean National Species List. Introduction page of National Species List of Korea in the platform for biodiversity in Korea (http://www.kbr.go.kr/content/view.do?menuKey = 446&contentKey = 14).
Fig. 4 in Database of National Species List of Korea: the taxonomical systematics platform for managing scientific names of Korean native species
Fig. 4. Web interface of list of taxa with search options. (A) Displays complex interface for searching taxon. (B) is the list view of taxa searched. (C) shows the example of brief information of taxon which will be appeared by clicking KTSN number in the list view.
Fig. 2 in Database of National Species List of Korea: the taxonomical systematics platform for managing scientific names of Korean native species
Fig. 2. Web interface of taxon in Database of Korean National Species List. (A) Provides hierarchical structure of taxon with the tree interface. (B) shows basic information of taxon including KTSN, species properties, representative common names, and status of KTSN. (C) displays ranks, names, common names, identifiers, origins and etc. (D) displays information higher taxa based on hierarchical systems. (E) shows the list of synonyms. (F) is the list of references related to this taxon. (G) is the list of all common names except representative name.
Fig. 12 in Database of National Species List of Korea: the taxonomical systematics platform for managing scientific names of Korean native species
Fig. 12. System structure of Database of Korean National Species List. Grey rectangles represent systems related to the Database of National Species List of Korea and blue rectangles indicates systems using species information via Database of National Species List of Korea outside of NIBR. Black arrows indicate utilization of taxonomic information from the Database of National Species List of Korea and Grey arrows present communication with institutes outside of NIBR. Dotted grey arrow means commination channel will be established soon.
Fig. 1 in Database of National Species List of Korea: the taxonomical systematics platform for managing scientific names of Korean native species
Fig. 1. Database structure of Database of Korean National Species List. (A) Presents relationship of major entities of the Database of Korean National Species List. Black thick lines are n:m relationship and blue arrows show detailed content types of each entity. (B) displays example of hierarchical relations of higher taxa originated from two different systems, KNSL and APG IV.
Fig. 6 in Database of National Species List of Korea: the taxonomical systematics platform for managing scientific names of Korean native species
Fig. 6. Download page of Korean National Species List. This web page provides the download link of National Species List of Korea in the main page of the platform for biodiversity in Korea (http://www.kbr.go.kr/).
Fig. 3 in Database of National Species List of Korea: the taxonomical systematics platform for managing scientific names of Korean native species
Fig. 3. Tree interface of taxon. (A) Shows interface to search by management groups, rank, and name. Yellow arrow indicates fold- er icon which open all higher nodes of the taxon up and grey arrow shows check icon which provides detailed information of the taxon. (B) displays tree interface for hierarchical structure of taxa. Plus icon indicated by blue arrow means open the lower taxa in the specific taxon, and each node (orange arrow) represents each taxon.
Fig. 11 in Database of National Species List of Korea: the taxonomical systematics platform for managing scientific names of Korean native species
Fig. 11. Web interface of reporting tools in Database of Korean National Species List. (A) Presents the basket of report. Dotted box presents option of generating reports. (B) shows the list of tasks registered for generating report. (C) displays three different formats of report generated by the Database of National Species List of Korea.
Gamification for Enhancing Soft Skills Development: a Systematic Mapping Study (supplementary material) - Temporary Repository
<p>This TEMPORARY repository contains supplementary material for the manuscript "Gamification for Enhancing Soft Skills Development: a Systematic Mapping Study":</p> <ul> <li>Gamification for Enhancing Soft Skills Development.CSV: Meta-data and raw data extracted from papers inlcuding in the mapping study</li> </ul>
Fig. 10 in Integrative taxonomy helps to revise systematics and questions the purported cosmopolitan nature of the type species within the genus Diaforobiotus (Eutardigrada: Richtersiusidae)
Fig. 10 Diaforobiotus svalbardicus sp. nov.: eggs seen in PCM: A, D, G focus on egg processes surface; B, E, H focus on egg processes midsections; C, F, I focus on egg surface between processes. Triples A–C, D–F, G–I represent three different eggs photographed with dif-
Fig. 1 in Integrative taxonomy helps to revise systematics and questions the purported cosmopolitan nature of the type species within the genus Diaforobiotus (Eutardigrada: Richtersiusidae)
Fig. 1 Diaforobiotus islandicus (Richters, 1904): habitus and cuticular pores seen in PCM: A adult habitus, dorso-ventral projection (neotype); B, C cuticular pores on dorsal and ventral side of the body, respectively; D pulvinus on the internal surface of leg III. Filled flat arrowheads indicate cuticular bars above the claws in legs I–III. Scale bars inμm
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.