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.
13,117
datasets available to search
ShareScore release 0.9.0
Dataset results
13,117 results for “Maps”
Charting the edge of chaos: challenges in mapping scientific research
<p>Content</p> <p>The illusion of certainty<br> KOS problems in science<br> Fluidity of scientific vocabulary<br> Sketches towards an approach</p>
Code to reproduce data in "Mapping sexual dimorphism signal in the human cranium"
<p>Code to reproduce data in "Mapping sexual dimorphism signal in the human cranium"</p>
Mapping of Revised Field of Science and Technology (FOS) Classification to Web of Science, Scopus and Dimensions Research Sheames
<p>This data set represents research area classification mapping of Web of Science, Scopus and Dimensions to the OECD Category schema. The OECD Category schema corresponds to the <a href="http://unstats.un.org/unsd/EconStatKB/Attachment332.aspx?AttachmentType=1">Revised Field of Science and Technology (FOS) Classification of the Frascati Manual.</a> </p> <p>Mapping process was conducted in January 2023, utilizing the then-current versions of the All Science Journal Classification Codes (ASJC) for Scopus and the Web of Science Research Area scheme. For Dimensions, the mapping was based on the Australian and New Zealand Standard Research Classification (ANZSRC) 2020.</p>
New Ways of Mapping Knowledge Organization Systems. Using a SemiAutomatic MatchingProcedure for Building Up Vocabulary Crosswalks
<p>Abstract: Crosswalks between different vocabularies are an indispensable prerequisite for integrated and high­quality search scenarios in distributed data environments. Offered through the web and linked with each other they act as a central link so that users could move back and forth between different data sources being online available.<br> In the past, crosswalks between different thesauri have been primarily developed manually. In the long run the intellectual updating of such crosswalks requires huge personnel expenses. Therefore, an integration of automatic matching procedures, as for example Ontology Matching Tools, seems pretty obvious.<br> On the basis of computer­generated correspondences between the Thesaurus for Economics (STW) and the Thesaurus for the Social Sciences (TheSoz) our contribution will explore cross­border approaches between IT­assisted tools and procedures on the one hand<br> and external quality measurements via domain experts on the other hand. Thus, we will present techniques to semi­automatically perform vocabulary crosswalks. Due to intellectually evaluated results of multiple matching tools in the forerun, quality statements concerning the reliability of further computer­generated crosswalks can be made. This way, the application of various tools and procedures gradually contributes to an increase in quality. Moreover, on the long­term it facilitates a continuous update of high­quality vocabulary crosswalks.</p>
MAP 4 in Integrative taxonomic revision of the Metarctia Walker, 1855 subgenus Hebena Walker, 1856, with descriptions of six new species and one new subspecies (Lepidoptera: Erebidae: Arctiinae: Syntomini)
MAP 4. Distribution of Metarctia (Hebena) henrardi and M. (H.) lukaszi.
MAP 5 in Integrative taxonomic revision of the Metarctia Walker, 1855 subgenus Hebena Walker, 1856, with descriptions of six new species and one new subspecies (Lepidoptera: Erebidae: Arctiinae: Syntomini)
MAP 5. Distribution of Metarctia (Hebena) venustissima.
MAP 1 in Integrative taxonomic revision of the Metarctia Walker, 1855 subgenus Hebena Walker, 1856, with descriptions of six new species and one new subspecies (Lepidoptera: Erebidae: Arctiinae: Syntomini)
MAP 1. Distribution of Metarctia (Hebena) lateritia.
Fig. 8. Distribution map for Cisandina n in Systematic Revision of a New Butterfly Genus, Cisandina Nakahara & Espeland, n. gen., with Descriptions of Three New Taxa (Lepidoptera: Nymphalidae: Satyrinae)
Fig. 8. Distribution map for Cisandina n. gen. taxa discussed herein.
eQTL Catalogue release 5 fine mapped credible sets
<p>All fine mapping credible sets from eQTL Catalogue release 5 compressed into a single tar archive.</p>
Potential range map dataset of Indian Birds
<p>Potential range map dataset of Indian Birds</p>
MAP 9 in Click beetles (Coleoptera: Elateridae) of Khuzestan province (Iran): with three new species, Craspedostethus izehensis sp.n., Dicronychus khuzestanicus sp. n. and Gurjevelater catei sp. n.
MAP 9. Distribution map of Zorochros and Zygocardiophorus species in Khuzestan.
MAP 2 in Click beetles (Coleoptera: Elateridae) of Khuzestan province (Iran): with three new species, Craspedostethus izehensis sp.n., Dicronychus khuzestanicus sp. n. and Gurjevelater catei sp. n.
MAP 2. Distribution map of Aeoloderma, Aeoloides and Aeolosomus species in Khuzestan.
MAP 4 in Click beetles (Coleoptera: Elateridae) of Khuzestan province (Iran): with three new species, Craspedostethus izehensis sp.n., Dicronychus khuzestanicus sp. n. and Gurjevelater catei sp. n.
MAP 4. Distribution map of Craspedostethus, Ectamenogonus and Lacon species in Khuzestan.
MAP 3 in Click beetles (Coleoptera: Elateridae) of Khuzestan province (Iran): with three new species, Craspedostethus izehensis sp.n., Dicronychus khuzestanicus sp. n. and Gurjevelater catei sp. n.
MAP 3. Distribution map of Agriotes, Calais and Drasterius species in Khuzestan.
MAP 7 in Click beetles (Coleoptera: Elateridae) of Khuzestan province (Iran): with three new species, Craspedostethus izehensis sp.n., Dicronychus khuzestanicus sp. n. and Gurjevelater catei sp. n.
MAP 7. Distribution map of Lanelater, Mulsanteus, Pittonotus and Tolphorea species in Khuzestan.
MAP 5 in Click beetles (Coleoptera: Elateridae) of Khuzestan province (Iran): with three new species, Craspedostethus izehensis sp.n., Dicronychus khuzestanicus sp. n. and Gurjevelater catei sp. n.
MAP 5. Distribution map of Dicronychus species in Khuzestan.
Supplementary material 2 from: Woodburn M, Buschbom J, Grant S, Jones J, Norton B, Trekels M, Vincent S, Webbink K (2023) No Pain No Gain: Standards mapping in Latimer Core development. Biodiversity Information Science and Standards 7: e113053. https://doi.org/10.3897/biss.7.113053
Extended SSSOM mappings
Supplementary material 1 from: Woodburn M, Buschbom J, Grant S, Jones J, Norton B, Trekels M, Vincent S, Webbink K (2023) No Pain No Gain: Standards mapping in Latimer Core development. Biodiversity Information Science and Standards 7: e113053. https://doi.org/10.3897/biss.7.113053
SKOS mappings
Swift/BAT-GUANO upper limits map for S230924an
<p>The solid and dashed lines indicate the 90% and 50% GW contour levels, respectively.</p>
Swift/BAT-GUANO upper limits map for S230919bj
<p>The solid and dashed lines indicate the 90% and 50% GW contour levels, respectively.</p>
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.