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.
493
datasets available to search
ShareScore release 0.7.1
Dataset results
493 results for “Iris”
Data from: Evaluating the roles of signaling and camouflage in the evolution of iris color in <em>Tyranni</em> passerines
Open the record for dataset details and reuse information.
The conservation genetics of Iris lacustris (Dwarf Lake Iris), a Great Lakes endemic
Open the record for dataset details and reuse information.
Phylogeny of species, infraspecific taxa, and forms in Iris subgenus Xiphium (Iridaceae) that have centers of diversity in the Mediterranean Basin biodiversity hotspot
Open the record for dataset details and reuse information.
H. J. Andrews Experimental Forest site, station Andrews Watershed 1, study of plant cover of Iris in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains plant cover of Iris measurements in percent units and were aggregated to a yearly timescale.
H. J. Andrews Experimental Forest site, station Andrews Watershed 3, study of plant cover of Iris in units of percent on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from H. J. Andrews Experimental Forest (AND) contains plant cover of Iris measurements in percent units and were aggregated to a yearly timescale.
FIGURE 33. Leocrates iris Grube, 1878 in Revision of Leocrates Kinberg, 1866 and Leocratides Ehlers, 1908 (Annelida, Errantia, Hesionidae)
FIGURE 33. Leocrates iris Grube, 1878 reinstated, non-type specimen (USNM 1548297). A. Dorsal view. B. Anterior region, dorsal view. C. Anterior end, dorsal view, MGS. D. Anterior end, ventral view after midventral dissection. E. Chaetiger 8, left parapodium, anterior view (inset: notacicular lobe). F. Same, lower portion of neurochaetal bundle. Scale bars: A: 1.4 mm, B: 0.9 mm, C: 0.4 mm, D: 0.6 mm, E: 0.3 mm, F: 120 µm.
FIGURE 32. Leocrates iris Grube, 1878 in Revision of Leocrates Kinberg, 1866 and Leocratides Ehlers, 1908 (Annelida, Errantia, Hesionidae)
FIGURE 32. Leocrates iris Grube, 1878 reinstated, best syntype (MNHW 296, 714-780). A. Anterior region, dorsal view, SAS. B. Anterior end, dorsal view. C. Anterior region, ventral view. D. Chaetiger 8, right parapodium, anterior view, SAS (inset: notacicular lobe). E. Upper neurochaetal blades. F. Lowest neurochaetal blades. Scale bars: A: 1 mm, B: 0.4 mm, C: 0.8 mm, D: 0.3 mm, E: 90 μm, F: 70 μm.
Ionospheric Horizontal Correlation Length Derived From IRI-2016 Model Errors
<p>Ionospheric horizontal correlation length based on IRI-2016 model and JPL Global Ionospheric Maps. This metadata can be used for the construction of the covariance matrix for ionospheric data assimilation.</p> <p>each .nc file corresponds to one bin. </p> <p>Binning in season (winter, summer, equinox):</p> <p>00=month 1,2,11,12<br> 01=month 5,6,7,8<br> 02=month 3,4,9,10<br> <br> Binning in F10.7 solar flux (low, moderate, high):</p> <p>00=0-100 s.f.u<br> 01=100-150 s.f.u.<br> 02=150-350 s.f.u. <br> <br> Binning in UT: 2-h frames. </p> <p>Example: <br> The name of the .nc file: <br> Corr_Length_IRI_seazon_01_sf_00_UT_18.nc <br> would correspond to summer season, low solar flux, 18-20 UT. </p> <p>Inside of the .nc files:</p> <p>longitudes=array of geomagnetic longitudes (degrees)<br> latitudes=array of geomagnetic latitudes (degrees)<br> zonal_corr_length=array of size (nlon, nlat), is a map of zonal correlation lengths<br> merid_corr_length=array of size (nlon, nlat), is a map of meridional correlation lengths<br> L_4d=array of size (nlon, nlat, 4), is a map of correlation lengths in 4 perpendicular azimuthal directions; 0=0 deg, 1=90 deg, 2=180 deg, 3=-90 deg<br> L_az=array of size (nlon, nlat, 36), is a map of correlation lengths in 36 azimuthal directions (0,10,20,30,...,350 deg)<br> </p>
PROLIFIC_790157_IRIS_WP2_UAE_protein
<p>Technical data regarding the extraction of protein assisted by ultrasound.</p>
Data and analysis script for channel measurement campaign at POWDER-RENEW using Iris SDRs
<p>This repository contains our raw datasets from channel measurements performed at the University of Utah campus. In addition, we have included a document that explains the setup and methodology used to collect this data, as well as a very brief discussion of results. <br> File organization:<br> * documentation/ - Contains a .docx with the description of the setup and evaluation.<br> * data/ - HDF5 files containing both metadata and raw IQ samples for<br> each location at which data was collected. Notice we collected data at 14 <br> different client locations. See map in the attached docx (skipped locations 12 and 16).<br> We deployed 5 different receivers at 5 different rooftops. Due to resource constraints,<br> one set of files contains data from 4 different locations whereas another set <br> contains information from the single remaining location.<br> <br> We have developed a set of python scripts that allow us to parse and analyze the data.<br> Although not included here, they can be found in our public repository: <a href="https://github.com/renew-wireless/RENEWLab">https://github.com/renew-wireless/RENEWLab</a><br> You can find the top script <a href="https://github.com/renew-wireless/RENEWLab/blob/master/PYTHON/IrisUtils/deployment_tool.py">here</a>.</p> <p>For more information on the POWDER-RENEW project please visit the <a href="https://powderwireless.net/">POWDER website</a>.<br> The RENEW part of the project focuses on the deployment of an open-source massive MIMO system.<br> Please visit our <a href="https://renew-wireless.org/">website </a>for more information.</p>
Data from: The evolution of iris colour in relation to nocturnality in owls
Birds, due to their multiple colourful displays, constitute a classic paradigm for the study of colour evolution. Although avian eyes are remarkably coloured, the functional basis behind inter‐specific variability in iris colouration remains poorly understood. Owls are an ideal system to shed light on the role of ecology in promoting iris colour evolution as they show inter‐specific variation in iris colour and in niche specialization with some species being strictly nocturnal and others active during the day. Owls perching for hunting at night might be unnoticed by both predators and their prey if they had dark irises, which would predict that dark irises were more likely to evolve in strictly nocturnal species than in diurnal ones. Using phylogenetic comparative models, we tested the camouflage hypothesis for eye colour. Ancestral state reconstruction revealed that the owl ancestor of the family Strigidae was more likely bright‐irided whereas the ancestor of the family Tytonidae was more likely dark‐irided. We found that iris colour and activity rhythm have more likely evolved in concert than independently, and a non‐significant trend of dark eyes to evolve more easily in owl species presenting strictly nocturnal habits than in diurnal species. The transition from diurnality to nocturnality was a previous requisite for the evolution of dark irises in owls. Taken together our results are only partly consistent with the camouflage hypothesis suggesting that dark irises in owls have primarily evolved to enhance concealment in nocturnal conditions.
Data from: Determining population structure and hybridization for two iris species
Identifying processes that promote or limit gene flow can help define the ecological and evolutionary history of a species. Furthermore, defining those factors that make up "species boundaries" can provide a definition of the independent evolutionary trajectories of related taxa. For many species, the historic processes that account for their distribution of genetic variation remain unresolved. In this study, we examine the geographic distribution of genetic diversity for two species of Louisiana Irises, Iris brevicaulis and Iris fulva. Specifically, we asked how populations are structured and if population structure coincides with potential barriers to gene flow. We also asked whether there is evidence of hybridization between these two species outside Louisiana hybrid zones. We used a genotyping-by-sequencing approach and sampled a large number of single nucleotide polymorphisms across these species' genomes. Two different population assignment methods were used to resolve population structure in I. brevicaulis; however, there was considerably less population structure in I. fulva. We used a species tree approach to infer phylogenies both within and between populations and species. For I. brevicaulis, the geography of the collection locality was reflected in the phylogeny. The I. fulva phylogeny reflected much less structure than detected for I. brevicaulis. Lastly, combining both species into a phylogenetic analysis resolved two of six populations of I. brevicaulis that shared alleles with I. fulva. Taken together, our results suggest major differences in the level and pattern of connectivity among populations of these two Louisiana Iris species.
Data from: Feeding the enemy: loss of nectar and nectaries to herbivores reduces tepal damage and increases pollinator attraction in Iris bulleyana
Floral nectar usually functions as a pollinator reward, yet it may also attract herbivores. However, the effects of herbivore consumption of nectar or nectaries on pollination have rarely been tested. We investigated Iris bulleyana, an alpine plant that has showy tepals and abundant nectar, in the Hengduan Mountains of SW China. In this region, flowers are visited mainly by pollen-collecting pollinators and nectarivorous herbivores. We tested the hypothesis that, in I. bulleyana, sacrificing nectar and nectaries to herbivores protects tepals and thus enhances pollinator attraction. We compared rates of pollination and herbivory on different floral tissues in plants with flowers protected from nectar and nectary consumption with rates in unprotected control plants. We found that nectar and nectaries suffered more herbivore damage than did tepals in natural conditions. However, the amount of tepal damage was significantly greater in the flowers with protected nectaries than in the controls; this resulted in significant differences in pollinator visitation rates. These results provide the first evidence that floral nectar and nectaries may be 'sacrificed' to herbivores, leading to reduced damage to other floral tissues that are more important for reproduction.
FIGURE 16. Synalpheus irie n in The sponge-dwelling snapping shrimps (Crustacea, Decapoda, Alpheidae, Synalpheus) of Discovery Bay, Jamaica, with descriptions of four new species
FIGURE 16. Synalpheus irie n. sp. Holotype non-ovigerous individual CL: 4.88 mm (USNM 1126365, original VIMS 08JAM3602) from Auletta cf. sycinularia, Dairy Bull Reef, Jamaica: A, left uropod and telson, dorsal view; B, telson, dorsal view, detail of distal margin. Allotype non-ovigerous individual CL: 5.32 mm (USNM 1126366, original VIMS 08JAM3601) from Auletta cf. sycinularia, Dairy Bull Reef, Jamaica: C, left uropod and telson, dorsal view. Paratype ovigerous female 5.10 mm (USNM 1126368, original VIMS 08JAM2802) from Auletta cf. sycinularia, fore-reef, Discovery Bay, Jamaica: D, telson, dorsal view. Scale bar = 0.5 mm for A, C, D; 0.25 for B.
FIGURE 11. Synalpheus irie n in The sponge-dwelling snapping shrimps (Crustacea, Decapoda, Alpheidae, Synalpheus) of Discovery Bay, Jamaica, with descriptions of four new species
FIGURE 11. Synalpheus irie n. sp. Holotype non-ovigerous individual CL: 4.88 mm (USNM 1126365, original VIMS 08JAM3602) from Auletta cf. sycinularia, Dairy Bull Reef, Jamaica: A, carapace, anterior region, and cephalic appendages, dorsal view; B, chela of major first pereopod, ventral view; C, same, mesial view. Allotype ovigerous female CL: 5.32 mm (USNM 1126366, original VIMS 08JAM3601) from Auletta cf. sycinularia, Dairy Bull Reef, Jamaica: D, carapace, anterior region, and cephalic appendages, dorsal view; E, chela of major first pereopod, anterior region, ventral view. Scale bar = 0.75 mm for A, D; 1 mm for E; 1.25 mm for B, C.
FIGURE 13. Synalpheus irie n in The sponge-dwelling snapping shrimps (Crustacea, Decapoda, Alpheidae, Synalpheus) of Discovery Bay, Jamaica, with descriptions of four new species
FIGURE 13. Synalpheus irie n. sp. Holotype non-ovigerous individual CL: 4.88 mm (USNM 1126365, original VIMS 08JAM3602) from Auletta cf. sycinularia, Dairy Bull Reef, Jamaica: A, chela of minor first pereopod, setae removed, lateral view; B, same, detail of distal region, mesial view; C, abdomen, right uropod, and telson, lateral view; D, third maxilliped; E, same, detail of distal region. Scale bar = 0.75 mm for A; 0.33 mm for B, 1 mm for C; 0.5 mm for D; 0.15 mm for E.
FIGURE 14. Synalpheus irie n in The sponge-dwelling snapping shrimps (Crustacea, Decapoda, Alpheidae, Synalpheus) of Discovery Bay, Jamaica, with descriptions of four new species
FIGURE 14. Synalpheus irie n. sp. Holotype non-ovigerous individual CL: 4.88 mm (USNM 1126365, original VIMS 08JAM3602) from Auletta cf. sycinularia, Dairy Bull Reef, Jamaica: A, second pereopod; B, third pereopod; C, same, detail of distal region; D, fourth pereopod; E, same, detail of distal region; F, fifth pereopod; G, same, detail of distal region. Scale bar = 0.5 mm for A, B, D, F; 0.15 for C, E, G.
FIGURE 15. Synalpheus irie n in The sponge-dwelling snapping shrimps (Crustacea, Decapoda, Alpheidae, Synalpheus) of Discovery Bay, Jamaica, with descriptions of four new species
FIGURE 15. Synalpheus irie n. sp. Holotype non-ovigerous individual CL: 4.88 mm (USNM 1126365, original VIMS 08JAM3602) from Auletta cf. sycinularia, Dairy Bull Reef, Jamaica: A, first pleopod; B, second pleopod. Allotype ovigerous female CL: 5.32 mm (USNM 1126366, original VIMS 08JAM3601) from Auletta cf. sycinularia, Dairy Bull Reef, Jamaica: C, first pleopod; D, second pleopod. Scale bar = 0.33 mm.
FIGURE 12. Synalpheus irie n in The sponge-dwelling snapping shrimps (Crustacea, Decapoda, Alpheidae, Synalpheus) of Discovery Bay, Jamaica, with descriptions of four new species
FIGURE 12. Synalpheus irie n. sp. Paratype non-ovigerous individual CL: 4.88 mm (USNM 1126367, original VIMS 08JAM2801) from Auletta cf. sycinularia, fore-reef, Discovery Bay, Jamaica: A, carapace, anterior region, and cephalic appendages, dorsal view; B, chela of major first pereopod, anterior region, lateroventral view. Paratype ovigerous female CL: 5.10 mm (USNM 1126368, original VIMS 08JAM2802) from Auletta cf. sycinularia, fore-reef, Discovery Bay, Jamaica: C, carapace, anterior region, and cephalic appendages, dorsal view; D, chela of major first pereopod, anterior region, mesial view; E, same, ventral view; F, same, detail of distal superior margin protuberance. Scale bar = 0.75 mm for A, B, C, D, E; 0.4 for F.
Fig. 3. A in Loberus impressus (LeConte) (Coleoptera: Erotylidae) Fungal Associations and Presence in the Seed Capsules of Iris Hexagona
Fig. 3. A) Strands of frass deposited by adults and larvae, scale bar ¼ 300 µm; B) mass of fungal spores found in frass, scale bar ¼ 100 µm; C) partially digested fungal hyphae from frass, scale bar ¼ 10 µm.
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.