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.
1,947
datasets available to search
ShareScore release 0.9.0
Dataset results
1,947 results for “Proposals”
Figure 2 from: Gómez S (2020) On some new species of Stenheliinae Brady, 1880 (Copepoda, Harpacticoida, Miraciidae) from north-western Mexico, with the proposal of Lonchoeidestenhelia gen. nov. ZooKeys 987: 41-79. https://doi.org/10.3897/zookeys.987.52906
Figure 2 Lonchoeidestenhelia prote gen. et sp. nov., female A habitus, dorsal B anal somite and left caudal ramus, dorsal C habitus, lateral D left caudal ramus, lateral. Scale bars: 200 µm (A, C); 100 µm (B, D).
Figure 18 from: Gómez S (2020) On some new species of Stenheliinae Brady, 1880 (Copepoda, Harpacticoida, Miraciidae) from north-western Mexico, with the proposal of Lonchoeidestenhelia gen. nov. ZooKeys 987: 41-79. https://doi.org/10.3897/zookeys.987.52906
Figure 18 Willenstenhelia reducta sp. nov., male A antennule without armature B antennule with armature C urosome, dorsal. Scale bars: 50 µm (A, B); 100 µm (C).
Figure 19 from: Gómez S (2020) On some new species of Stenheliinae Brady, 1880 (Copepoda, Harpacticoida, Miraciidae) from north-western Mexico, with the proposal of Lonchoeidestenhelia gen. nov. ZooKeys 987: 41-79. https://doi.org/10.3897/zookeys.987.52906
Figure 19 Willenstenhelia reducta sp. nov., male A urosome, lateral B urosome, ventral. Scale bars: 100 µm (A, B).
Figure 16 from: Gómez S (2020) On some new species of Stenheliinae Brady, 1880 (Copepoda, Harpacticoida, Miraciidae) from north-western Mexico, with the proposal of Lonchoeidestenhelia gen. nov. ZooKeys 987: 41-79. https://doi.org/10.3897/zookeys.987.52906
Figure 16 Willenstenhelia reducta sp. nov., female AP1, anterior BP2, anterior. Scale bars: 50 µm (A, B).
Figure 17 from: Gómez S (2020) On some new species of Stenheliinae Brady, 1880 (Copepoda, Harpacticoida, Miraciidae) from north-western Mexico, with the proposal of Lonchoeidestenhelia gen. nov. ZooKeys 987: 41-79. https://doi.org/10.3897/zookeys.987.52906
Figure 17 Willenstenhelia reducta sp. nov., female AP3, anterior BP4, anterior CP5, anterior. Scale bars: 50 µm (A–C).
Figure 14 from: Gómez S (2020) On some new species of Stenheliinae Brady, 1880 (Copepoda, Harpacticoida, Miraciidae) from north-western Mexico, with the proposal of Lonchoeidestenhelia gen. nov. ZooKeys 987: 41-79. https://doi.org/10.3897/zookeys.987.52906
Figure 14 Willenstenhelia reducta sp. nov., female A antennule without armature B antennule with armature C antenna. Scale bars: 50 µm (A–C).
Figure 13 from: Gómez S (2020) On some new species of Stenheliinae Brady, 1880 (Copepoda, Harpacticoida, Miraciidae) from north-western Mexico, with the proposal of Lonchoeidestenhelia gen. nov. ZooKeys 987: 41-79. https://doi.org/10.3897/zookeys.987.52906
Figure 13 Willenstenhelia reducta sp. nov., female A urosome, lateral B urosome, ventral. Scale bars: 50 µm (A, B).
Figure 15 from: Gómez S (2020) On some new species of Stenheliinae Brady, 1880 (Copepoda, Harpacticoida, Miraciidae) from north-western Mexico, with the proposal of Lonchoeidestenhelia gen. nov. ZooKeys 987: 41-79. https://doi.org/10.3897/zookeys.987.52906
Figure 15 Willenstenhelia reducta sp. nov., female A mandibular coxa and basis B another mandibular basis, exopod and endopod C maxillule D maxilla E maxilliped. Scale bars: 50 µm (A–C); 25 µm (D, E).
Figure 10 from: Gómez S (2020) On some new species of Stenheliinae Brady, 1880 (Copepoda, Harpacticoida, Miraciidae) from north-western Mexico, with the proposal of Lonchoeidestenhelia gen. nov. ZooKeys 987: 41-79. https://doi.org/10.3897/zookeys.987.52906
Figure 10 Lonchoeidestenhelia prote gen. et sp. nov., male A rostrum antennule with armature B rostrum and antennule without armature CP2ENP, anterior DP5, anterior EP6, anterior. Scale bars: 50 µm (A–E).
Figure 11 from: Gómez S (2020) On some new species of Stenheliinae Brady, 1880 (Copepoda, Harpacticoida, Miraciidae) from north-western Mexico, with the proposal of Lonchoeidestenhelia gen. nov. ZooKeys 987: 41-79. https://doi.org/10.3897/zookeys.987.52906
Figure 11 Lonchoeidestenhelia prote gen. et sp. nov., intersex individual AP5-bearing somite and double genital-somite, lateral BP5-bearing somite and double genital-somite, ventral. Scale bar: 50 µm (A, B).
Figure 1 from: Gómez S (2020) On some new species of Stenheliinae Brady, 1880 (Copepoda, Harpacticoida, Miraciidae) from north-western Mexico, with the proposal of Lonchoeidestenhelia gen. nov. ZooKeys 987: 41-79. https://doi.org/10.3897/zookeys.987.52906
Figure 1 Sampling locations in Urías estuary, Mazatlán, Sinaloa State, Mexico. Coordinates as follows: stn 1 (23.15194°N, 106.3128°W); stn 2 (23.1587°N, 106.3326°W); stn 3 (23.1735°N, 106.3504°W); stn 4 (23.1840°N, 106.3579°W); stn 5 (23.2056°N, 106.3715°W); stn 6 (23.2123°N, 106.3780°W); stn 7 (23.2174°N, 106.3917°W); stn 8 (23.2128°N, 106.4047°W); stn 9 (23.1904°N, 106.4121°W); stn 10 (23.1815°N, 106.4214°W). Map data 2020 Google.
Figure 12 from: Gómez S (2020) On some new species of Stenheliinae Brady, 1880 (Copepoda, Harpacticoida, Miraciidae) from north-western Mexico, with the proposal of Lonchoeidestenhelia gen. nov. ZooKeys 987: 41-79. https://doi.org/10.3897/zookeys.987.52906
Figure 12 Willenstenhelia reducta sp. nov., female A habitus, dorsal B urosome, dorsal. Scale bars: 200 µm (A); 50 µm (B).
Data from: Putting the waste out: a proposed mechanism for transmission of the mycoparasite Escovopsis between leafcutter ant colonies
The attine ant system is a remarkable example of symbiosis. An antagonistic partner within this system is the fungal parasite <i>Escovopsis, </i>a genus specific to the fungal gardens of the Attini. <i>Escovopsis </i>parasitizes the <i>Leucoagaricus </i>symbiont that leaf-cutting ants (<i>Acromyrmex</i>, <i>Atta</i>) have been farming over the past 8-12 million years. However, it has been a puzzle how <i>Escovopsis </i>reaches its host. During a seasonal survey of nests of <i>Acromyrmex subterraneus subterraneus </i>in Atlantic rainforest in Brazil, <i>Escovopsis </i>was detected in all the sampled fungal garden waste tips or middens (n = 111). Middens were built strategically; always below the nest entrances. Here, we report the first evidence of a putative mechanism for horizontal transmission of <i>Escovopsis </i>between attine colonies. It is posited that leaf-cutting ants pick up the spores from soil and litter during foraging and vector the mycoparasite between attine colonies. Field and laboratory experiments, using <i>Atta laevigata</i> and <i>Acromyrmex subterraneus subterraneus</i>, confirm that <i>Escovopsis </i>spores are phoretic, and have an in-built dormancy, broken by the presence of their <i>Leucoagaricus </i>host. However, in the coevolutionary arms race, <i>Atta </i>ants may lose out – despite most species in the genus investing in a more advanced waste disposal system – due to the insanitary habits of their <i>Acromyrmex</i> neighbours.
Data from: Census parcels cropping system classification from multitemporal remote imagery: a proposed universal methodology
A procedure named CROPCLASS was developed to semi-automate census parcel crop assessment in any agricultural area using multitemporal remote images. For each area, CROPCLASS consists of a) a definition of census parcels through vector files in all of the images; b) the extraction of spectral bands (SB) and key vegetation index (VI) average values for each parcel and image; c) the conformation of a matrix data (MD) of the extracted information; d) the classification of MD decision trees (DT) and Structured Query Language (SQL) crop predictive model definition also based on preliminary land-use ground-truth work in a reduced number of parcels; and e) the implementation of predictive models to classify unidentified parcels land uses. The software named CROPCLASS-2.0 was developed to semi-automatically perform the described procedure in an economically feasible manner. The CROPCLASS methodology was validated using seven GeoEye-1 satellite images that were taken over the LaVentilla area (Southern Spain) from April to October 2010 at 3- to 4-week intervals. The studied region was visited every 3 weeks, identifying 12 crops and others land uses in 311 parcels. The DT training models for each cropping system were assessed at a 95% to 100% overall accuracy (OA) for each crop within its corresponding cropping systems. The DT training models that were used to directly identify the individual crops were assessed with 80.7% OA, with a user accuracy of approximately 80% or higher for most crops. Generally, the DT model accuracy was similar using the seven images that were taken at approximately one-month intervals or a set of three images that were taken during early spring, summer and autumn, or set of two images that were taken at about 2 to 3 months interval. The classification of the unidentified parcels for the individual crops was achieved with an OA of 79.5%.
Data from: Nomenclature for the nameless: a proposal for an integrative molecular taxonomy of cryptic diversity exemplified by planktonic foraminifera
Investigations of biodiversity, biogeography and ecological processes rely on the identification of "species" as biologically significant, natural units of evolution. In this context, morpho-taxonomy only provides an adequate level of resolution if reproductive isolation matches morphological divergence. In many groups of organisms, morphologically defined species often disguise considerable genetic diversity, which may be indicative of the existence of cryptic species. The diversity hidden by morphological species can be disentangled through genetic surveys, which also provide access to data on the ecological distribution of genetically circumscribed units. These units can be identified by unique DNA sequence motifs and allow studies of evolutionary and ecological processes at different levels of divergence. However, the nomenclature of genetically circumscribed units within morphological species is not regulated and lacks stability. This represents a major obstacle to efforts to synthesize and communicate data on genetic diversity for multiple stakeholders. We have been confronted with such an obstacle in our work on planktonic foraminifera, where the stakeholder community is particularly diverse, involving geochemists, paleoceanographers, paleontologists and biologists, and the lack of stable nomenclature beyond the level of formal morphospecies prevents effective transfer of knowledge. To circumvent this problem, we have designed a stable, reproducible and flexible nomenclature system for genetically circumscribed units, analogous to the principles of a formal nomenclature system. Our system is based on the definition of unique DNA sequence motifs collocated within an individual, their typification (in analogy with holotypes), utilization of their hierarchical phylogenetic structure to define levels of divergence below that of the morphospecies, and a set of nomenclature rules assuring stability. The resulting molecular operational taxonomic units (MOTUs) remain outside the domain of current nomenclature codes, but are linked to formal morphospecies as regulated by the codes. Subsequently we show how this system can be applied to classify genetically defined units using the SSU rDNA marker in planktonic foraminifera and we highlight its potential use for other groups of organisms where similarly high levels of connectivity between molecular and formal taxonomies can be achieved.
FIGURE 5 in Redescription of two species of Asterocheres Boeck, 1860 (Copepoda: Siphonostomatoida), A. corneliae Schirl, 1973 and A. boeckii (Brady, 1880), and proposal of a new genus for Asterocheres fastigatus Kim, 2010
FIGURE 5. Asterocheres boeckii (Brady, 1880) (male). A, leg 1; B, leg 2; C, leg 3; D, leg 4.
FIGURE 4 in Redescription of two species of Asterocheres Boeck, 1860 (Copepoda: Siphonostomatoida), A. corneliae Schirl, 1973 and A. boeckii (Brady, 1880), and proposal of a new genus for Asterocheres fastigatus Kim, 2010
FIGURE 4. Asterocheres boeckii (Brady, 1880) (female). A, maxillule; B, mandible; C, maxilliped.
FIGURE 10 in Fistulococcus, a new genus of soft scale insect (Sternorrhyncha, Coccidae) proposed for two new species from Hong Kong and Papua New Guinea
FIGURE 10. Fistulococcus intsiae. Secondinstar female nymph. For lettering, see Fig. 8.
FIGURE 1 in Monogenoids (Diplectanidae, Polyonchoinea) from the gills of mojarras (Perciformes, Gerreidae) with the resurrection of Neodiplectanum Mizelle & Blatz, 1941 and the proposal of Darwinoplectanum n. gen.
FIGURE 1. Measurement protocol for some haptoral structures.
FIGURE 47 in New and obscure species of the genus Chilocorus Mayr in eastern Asia, with the proposal of a " nitidus - group " concept (Hemiptera: Heteroptera: Cydnidae)
FIGURE 47. Holotype of C. monticola n. sp., dorsasl aspect. Scale: 1.0 mm.
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.