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.
28,952
datasets available to search
ShareScore release 0.7.1
Dataset results
28,952 results for “Distributed”
Fig. 2 in Benstonea Callm. & Buerki (Pandanaceae): characterization, circumscription, and distribution of a new genus of screw-pines, with a synopsis of accepted species
Fig. 2. – Plastid maximum likelihood phylogenetic tree of Pandanaceae inferred using RAxML and based on matK, trnL-trnF and trnQ-rps16. Bootstrap support values are represented below branches. This figure is adapted from the figure S1 in BUERKI & al. (2012).
Fig. 1 in Benstonea Callm. & Buerki (Pandanaceae): characterization, circumscription, and distribution of a new genus of screw-pines, with a synopsis of accepted species
Fig. 1. – General habit, infructescences and details of stigmas of species of Pandanus sect. Epiphytica Martelli (A-B) and Pseudoacrostigma B. C. Stone (C-D). A-B. Pandanus epiphyticus Martelli; C. Pandanus platystigma Martelli; D. Pandanus pugnax B. C. Stone. [Photos: M. W. Callmander]
Fig. 3 in Benstonea Callm. & Buerki (Pandanaceae): characterization, circumscription, and distribution of a new genus of screw-pines, with a synopsis of accepted species
Fig. 3. – Distribution map of Benstonea Callm. & Buerki showing the number of species and the level of endemicity per geographical region.
Distribution map of occurence of bats roosting in caves in Cameroon
<p>Distribution map of occurence of bats roosts in the caves of Cameroon, as observed by the author during the 2009-2010-2011 speleological prospections. The order (Megachiroptera, Microchiroptera), based on visual assessment, is noted when available.</p>
Combining genotypes and T cell receptor distributions to infer genetic loci determining V(D)J recombination probabilities: discovery cohort meta data and parsed TCR repertoire data
<p>Meta data corresponding the the discovery cohort for the paper, "Combining genotypes and T cell receptor distributions to infer genetic loci determining V(D)J recombination probabilities" by Magdalena L Russell, Aisha Souquette, David M Levine, Stefan A Schattgen, E Kaitlynn Allen, Guillermina Kuan, Noah Simon, Angel Balmaseda, Aubree Gordon, Paul G Thomas, Frederick A Matsen IV, and Philip Bradley. These meta data include: </p> <p>(1) a file mapping the SNP data subject IDs to the TCR repertoire data subject IDs (gwas_id_mapping.tsv)<br> (2) a file including the PCAir PCs, self-reported ancestry, and genomic ancestry for each subject (all_pc_air.txt)<br> (3) a file including the PCAir variance explained by each PC (all_pc_air_variance.txt)<br> (3) a file including the SNP ID, chromosome, hg19 position, allele, rsid, and quality control metrics for each SNP in the SNP array (emerson_snp_rs_data.tsv)<br> (4) a file including IMGT genes and sequences used for parsing TCRB repertoire data (human_vj_allele_cdr3_nucseqs.tsv)<br> (5) a file including predicted TRBD2 allele genotypes for each subject (emerson_trbd2_alleles.tsv)<br> (6) Parsed TCRB repertoire data. These raw data were first published in Emerson et. al, <em>Nature Genetics </em>2017. (emerson_parsed_tcrb.tgz)</p> <p><strong>Corresponding discovery cohort raw TCR repertoire data is available here: </strong>https: //doi.org/10.21417/B7001Z (ImmuneACCESS database)<br> <strong>Corresponding discovery cohort SNP data is available here:</strong> https: //www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001918.v1.p1 (The database of Genotypes and Phenotypes, accession number: phs001918)<br> <br> <strong>Software tools designed to work with these data are available here:</strong> https://github.com/phbradley/tcr-gwas</p>
Dataset containing DTS-data used in Karttunen et al. "Quantifying coastal urban surface layer structure using distributed temperature sensing in Helsinki, Finland"
<p>This record contains DTS-data used in the following study:</p> <p>Karttunen et al. (2021): Quantifying coastal urban surface layer structure using distributed temperature sensing in Helsinki, Finland, submitted to AMTD</p> <p> </p> <p>DTS_highfreq_SMEARIII_Karttunen_et_al.zip contains continuous high frequency potential temperature profiles measured along the SMEAR III 31-metre tall mast. See more information on the data in the netCDF-file attributes and on the measurement setup in the related manuscript.</p> <p>DTS_statistics_SMEARIII_Karttunen_et_al.nc contains profiles for the turbulence temperature statistics calculated from the continuous DTS potential temperature profiles.See more information in the netCDF-file attributes and the related manuscript.</p> <p> </p>
Acaulescence promotes speciation and shapes the distribution patterns of palms in Neotropical seasonally dry habitats
<p>Rainforests have been a source of lineages to open and seasonally dry habitats throughout Angiosperm evolution, especially in the Neotropics. However, the underlying mechanisms that allow such shifts remain poorly understood at large spatial scales. Here, we test whether acaulescence (an underground stem or a very short stem concealed in the ground) has affected the colonization and speciation in Neotropical seasonally dry habitats by <span>cocosoid palms</span> (Cocoseae). Acaulescent species maintain their growth underground, which increases their chances of survival from prolonged seasonal dry season and frequent fires. We use an integrative approach based on trait‐dependent diversification models, phylogenetic comparative methods, and ecological niche models. We found that shifts towards acaulescent growth form were accompanied by evolutionary transitions to seasonally dry habitats. Acaulescent lineages had higher speciation rates than non-acaulescent ones.<i> </i>However, the interaction between acaulescence and seasonally dry habitats had no significant effect on Cocoseae speciation rates. Acaulescent palms are primarily distributed in Neotropical seasonally dry habitats and non-acaulescent palms are concentrated in Amazonian rainforests. Our results suggest that an underground stem, with high carbohydrate and water storage capacity, is a preadaptation by which rainforest lineages were able to colonize and diversify in new fire-prone, increasingly seasonal and drier adaptive zones. The projected global expansion of dry seasonal habitats requires an understanding of how drought-avoidance functional traits evolve and how they are linked to seasonally dry habitats. Our results are, thus, a step forward in determining plant response mechanisms to drier and seasonal conditions.</p>
Fig. 22 in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 22. Distribution of Anthocoris miyamotoi Hiura, 1959 (circles) and A. venustus sp. nov. (triangles) in Japan. Filled symbols represent records based on specimens examined by us, open symbols represent literature records.
Fig. 20 in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 20. Distribution of Anthocoris chibi Hiura, 1959 (circles) and A. confusus Reuter, 1884 (squares) in Japan. Filled symbols represent records based on specimens examined by us, open symbols represent literature records.
Fig. 21 in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 21. Distribution of Anthocoris takahashii Hiura, 1959 (circles), A. japonicus Poppius, 1909 (triangles), and A. kalopanacis Kerzhner, 1977 (squares) in Japan. Filled symbols represent records based on specimens examined by us, open symbols represent literature records.
Fig. 18 in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 18. Distribution of Temnostethus distans Kerzhner, 1973 (circles), T. mirificus sp. nov. (triangles), and Elatophilus nipponensis Hiura, 1966 (squares) in Japan. Filled symbols represent records based on specimens examined by us, open symbols represent literature records.
Fig. 11 in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 11. Scanning electron micrographs of male genitalia of Anthocoris spp. A–B – A. miyamotoi Hiura, 1959; C–D – A. venustus sp. nov., paratype. A, C – pygophore with paramere, dorsal (A) and lateral (C) views; B, D – paramere, dorsal (B) and lateral (D) views. Abbreviations: prm ‒ paramere; pyg ‒ pygophore.
Fig. 12. Abdominal sterna II in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 12. Abdominal sterna II–III of Anthocoris spp., male, ventral view (setae omitted). A – A. chibi Hiura, 1959; B – A. confusus Reuter, 1884; C – A. japonicus Poppius, 1909; D – A. nemoralis (Fabricius, 1794); E – A. takahashii Hiura, 1959; F – A. miyamotoi Hiura, 1959; G – A. venustus sp. nov., paratype. Abbreviations: ma ‒ membranous area; st2–3 ‒ abdominal sternum II to III. Scale bars: 0.2 mm.
Fig. 14 in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 14. Male genitalia of Anthocoris spp. A–C – A. miyamotoi Hiura, 1959; D–F – A. venustus sp. nov., paratype. A, D – pygophore with paramere (ejaculatory bulb omitted), dorsal view; B–C, E–F – paramere, two different views. Abbreviations: prm ‒ paramere; pyg ‒ pygophore. Scale bars: 0.1 mm.
Fig. 17 in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 17. Habitats, overwintering individuals, and mating pair of Anthocoris spp. A–B – Field survey on hibernating anthocorids under bark-flakes of Zelkova serrata at urbanized zone of Nagasaki City (Kawaguchi Park) in early February; C – A. japonicus Poppius, 1909, overwintering adults under the bark-flake of Z. serrata; D–E – same, mating pair; F – A. miyamotoi Hiura, 1959, adult males and final instar immature (right), overwintering individuals under the bark of Z. serrata; G – same, active male adult on flower of Camellia sasanqua in winter (observed on Jan. 4, 2020).
Fig. 3 in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 3. Male (A–C, E–G, I–K) and female (D, H, L) genitalia. A–D –Temnostethus distans Kerzhner, 1973; E–H – T. mirificus sp. nov., paratype; I–L – Elatophilus nipponensis Hiura, 1966.A, E, I – pygophore with paramere (ejaculatory bulb omitted), dorsal view; B–C, F–G, J–K – paramere, two different views; D, H, L – copulatory tube and sperm pouch (D, L, sperm pouch broken off), dorsal view. Abbreviations: ct ‒ copulatory tube; prm ‒ paramere; pyg ‒ pygophore; sp ‒ sperm pouch. Scale bars: 0.1 mm.
Fig. 10 in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 10. Scanning electron micrographs of male genitalia of Anthocoris spp. A–B – A. chibi Hiura, 1959; C–D – A. confusus Reuter, 1884 (from India); E–F – A. japonicus Poppius, 1909. A, C, E – pygophore with paramere, dorsal (A, C) and laterodorsal (E) views; B, D, F – paramere, dorsal (B, D) and laterodorsal (F) views. Abbreviations: end ‒ endosoma; prm ‒ paramere; pyg ‒ pygophore.
Fig. 2 in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 2. Scanning electron micrographs of diagnostic characters of Japanese anthocorids. A – Temnostethus distans Kerzhner, 1973, female; B, D – T. mirificus sp. nov., female (B) and male (D), paratypes; C – Elatophilus nipponensis Hiura, 1966, female. A–C – ostiolar peritreme and evaporatorium, left lateroventral view; D – pygophore with paramere, lateral view. Abbreviations: eva ‒ evaporatorium; mf ‒ median furrow; op ‒ ostiolar peritreme; prm ‒ paramere; pyg ‒ pygophore.
Fig. 6 in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 6. Male (A–C, E–G) and female (D, H) genitalia. A–D – Acompocoris brevirostris Kerzhner, 1979; E–H – Tetraphleps aterrima (J. Sahlberg, 1878). A, E – pygophore with paramere (ejaculatory bulb omitted), dorsal view; B–C, F–G – paramere, two different views; D, H – copulatory tube and sperm pouch, dorsal view. Abbreviations: ct ‒ copulatory tube; ism ‒ intersegmental membrane; prm ‒ paramere; pyg ‒ pygophore; sp ‒ sperm pouch. Scale bars: 0.1 mm.
Fig. 9 in The tribe Anthocorini in Japan (Hemiptera: Anthocoridae): descriptions of new species, review of distribution and bionomics
Fig. 9. Scanning electron micrographs of ostiolar peritreme and evaporatorium of Anthocoris spp, left lateroventral view. A – A. chibi Hiura, 1959, female; B – A. confusus Reuter, 1884, male (from India); C – A. japonicus Poppius, 1909, female; D – A. kalopanacis Kerzhner, 1977, female; E – A. takahashii Hiura, 1959, female; F – A. miyamotoi Hiura, 1959, female; G – A. venustus sp. nov., paratype, male. Abbreviations: eva ‒ evaporatorium; mf ‒ median furrow; op ‒ ostiolar peritreme; sca ‒ supracoxal area.
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.