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11,177
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Dataset results
11,177 results for “identify”
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Elizabeth Collins, <a href="https://orcid.org/0000-0002-5352-0769">https://orcid.org/0000-0002-5352-0769</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Sarah K. Morris, <a href="https://orcid.org/0000-0001-6965-7615">https://orcid.org/0000-0001-6965-7615</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Faten Filimban, <a href="https://orcid.org/0000-0001-7527-1313">https://orcid.org/0000-0001-7527-1313</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Identifying persistent, mobile and toxic (PMT) organic compounds detected in shale gas wastewater.
<p>Supporting Information (open data) for Identifying persistent, mobile and toxic (PMT) organic compounds detected in shale gas wastewater.</p>
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Diana D. Jolles, <a href="https://orcid.org/0000-0002-9979-9072">https://orcid.org/0000-0002-9979-9072</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Defining and identifying Discourse Markers in spontaneous speech. A corpus-based and experimental proposal
<p>The paper has a twofold goal: (i) to identify the cathegory of Discourse Markers (DM) and their different specific functions; (ii) to validate the proposal with a perceptual experiment. First, we propose how to identify DM and their different functions in spontaneous speech. Both the identification of the categorycategory of DM and that of specific DM functions are based on prosodic criteria. In order to identify a DM, speech segmentation is crucial, since DMs necessarily appear isolated in a prosodic unit. Besides prosodic isolation, DMs do not feature pragmatic and prosodic autonomy, but depend on the illocutionary unit of the utterance. Than we show that a same lexical item can fulfill more functions, while the formal cues that convey the function are prosodic ones. The last part of the chapter is devoted to presenting the methodology and the results of a perceptual experiment that tests the theoretical hypothesis by asking the listeners to recognize three different functions by means of prosodic cues only.</p>
Defining and identifying Discourse Markers in spontaneous speech: a corpus-based and experimental proposal
<p>Audio files used as examples in the paper.</p>
Geospatial data from: Identifying opportunity hot spots for reducing the risk of wildfire-caused carbon loss in western US conifer forests
<p>The geospatial dataset includes raster and vector data for visualizing the spatial distribution of risk of wildfire-caused carbon loss in Peeler et al. 2023. Raster data evaluate carbon exposure, sensitivity, and vulnerability at the pixel-level across western US carbon forests. Vector data aggregate pixel-level findings into project area and fireshed spatial units to identify target geographies (or "opportunity hot spots") where proactive forest management could reduce the greatest risk from wildfire to carbon. Vector data also identifies firesheds in which proactive forest management could simultaneously reduce the risk from wildfire to carbon and human communities.</p>
Supplemental data for "Transcriptomic Profiling of the Bovine Endosalpinx and Endometrium to Identify Putative Embryokines"
<p>Supplemental data for paper describing expression of genes encoding for cell-signaling ligands in the oviduct and endometrium of cows. </p>
A geometric morphometric approach to identify uncomplete snake vertebrae from raptor bird feeding remains
<p>The Hungarian meadow viper (<em>Vipera ursinii rakosiensis</em>) is an endangered subspecies of <em>Vipera ursinii</em>, which faces high predation pressure, partially due to avian species. To create a systematic method for estimating the measure of predation pressure, we developed a geometric morphometric approach to identify both undamaged and damaged vertebrae of snake species found in Hungarian meadow viper habitats from raptor feeding remains. We used linear discriminant analysis with a reference material of vertebrae from identified snake species as training data. We also tested its efficiency by predicting the identification results of different simulation levels based on vertebra completeness. We practiced this method on vertebrae of unknown species of snakes obtained from nests and pellets of short-toed snake eagles (<em>Circaetus gallicus</em>, n=9), common buzzards (<em>Buteo buteo</em>, n=14) and Montagu’s harriers (<em>Circus pygargus</em>, n=3). The identification approach showed high accuracy, even in the case of missing landmarks to some extent. We identified vertebrae remnants of <em>Natrix natrix</em> (n=172, 83.9%), <em>Coronella austriaca</em> (n=10, 4.9%) and <em>V. u. rakosiensis</em> (n=23, 11.2%). Both, the reptile specialist <em>C. gallicus</em> and<em> </em>the generalist<em> B. buteo</em> proved to be preying on <em>V. u. rakosiensis</em>, while samples of <em>C. pygargus</em> did not contain any snake remains despite of previous observations of <em>V. ursinii</em> predations. Our approach is applicable for other studies and taxa as well, therefore can be a practical tool for classification of incomplete vertebrae, which is otherwise hardly identifiable. Furthermore, it could be applied to help estimate predation pressure on endangered snake species.</p>
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Tabitha Eldridge, <a href="https://orcid.org/0009-0007-9267-3171">https://orcid.org/0009-0007-9267-3171</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Data-driven transcriptomics analysis identifies PCSK9 as a novel key regulator in liver aging. (Histology Images)
<p>These are the histology images on "Data-driven transcriptomics analysis identifies PCSK9 as a novel key regulator in liver aging."</p>
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Filip Verloove, <a href="https://orcid.org/0000-0003-4144-2422">https://orcid.org/0000-0003-4144-2422</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
Data from: Frequent allopolyploidy with distant progenitors in the moss genera Physcomitrium and Entosthodon (Funariaceae) identified via subgenome phasing of targeted nuclear genes
<p>Polyploids represent a new frontier in species discovery among embryophytes. Within mosses, polyploid discovery is challenged by low morphological complexity. The rapid expansion of sub-genome sequencing approaches in addition to computational approaches to identifying whole genome duplication using allelic variation among nuclear markers has allowed for increased polyploid discovery among mosses. We confirm the intergeneric hybrid nature of <em>E. hungaricus</em>, and the allopolyploid origin of <em>P. eurystomum </em>and of one population of <em>P. collenchymatum</em>. We also reveal that hybridization gave rise to <em>P. immersum, </em>as well as to yet unrecognized lineages sharing the phenotype of <em>P. pyriforme</em>,<em> P. sphaericum</em> and <em>P. collenchymatum. </em>Our findings and methods demonstrate the utility of a novel approach to allele phasing and subgenome assignment, called homologizer, when working with polyploid genomes, and its value in identifying progenitor species using target capture data.</p>
A dataset of organic pollutants identified and quantified in recycled polyethylene pellets
<p>The dataset presented here includes the chemical analysis of 28 recycled High-Density Polyethylene (HDPE) pellets obtained from various regions in the Global South, along with a reference sample of virgin plastic. Additionally the polymer test that are HDPE is also provided.</p>
Identifying the variety of jovian X-ray auroral structures: tying the morphology of X-ray emissions to associated magnetospheric dynamics
<p>The data used in Weigt et al., study <strong><em>"Identifying the variety of jovian X-ray auroral structures: tying the morphology of X-ray emissions to associated magnetospheric dynamics"</em>.</strong> The README.pdf explains what data is used to produce each Figure in the article with links to the Chandra archive and other data repositories. Pipeline to analyse data can be found here: </p> <pre><a href="https://doi.org/10.5281/zenodo.7380282">https://doi.org/10.5281/zenodo.7380282</a> </pre>
Identifying Mozambique's most critical areas for plant conservation: An evaluation of protected areas and important plant areas
<p>Successful protected area networks must represent biodiversity across taxonomic groups. However, too often plant species are overlooked in conservation planning, and the resulting protected areas may, as a result, fail to encompass the most important sites for plant diversity. The Mozambique Tropical Important Plant Areas project sought to promote the conservation of Mozambique's flora through the identification of Important Plant Areas (IPAs). Here, we use the Weighted Endemism including Global Endangerment (WEGE) index to identify the richest areas for rare and endemic plants in Mozambique and subsequently evaluate how well represented these hotspots are within the current protected area and IPA networks. We also examine the congruence between IPA and protected areas to identify opportunities for strengthening the conservation of plants in Mozambique. We found that high WEGE scores, representing areas rich in endemic/near‐endemic and threatened species, predict the presence of IPAs in Mozambique, but do not predict the presence of protected areas. We also find that there is limited overlap between IPAs and protected areas in Mozambique. We demonstrate how IPAs could be an important tool for ensuring priority sites for plant diversity are included within protected area network expansions, particularly following the adoption of the "30 by 30" target agreed within the post‐2020 Convention on Biological Diversity framework, with great potential for this method to be replicated elsewhere in the global tropics.</p>
Identifying viral and host genetic determinants of vaccine efficacy
<p>This dataset includes summary statistics results from genetic analyses testing the hypothesis that germline genetic variants are associated with COVID-19 mRNA vaccine efficacy. </p> <p> </p> <p>These genetic studies include GWAS, HLA-WAS and rare variant gene burden tests. </p>
Natural history specimens collected and/or identified and deposited.
Natural history specimen data collected and/or identified by Tapani Hopkins, <a href="https://orcid.org/0000-0002-2256-0098">https://orcid.org/0000-0002-2256-0098</a>. Claims or attributions were made on Bionomia, <a href="http://bionomia.net">https://bionomia.net</a> using specimen data from the Global Biodiversity Information Facility, <a href="https://gbif.org">https://gbif.org</a>.
MIMOSA: A resource consisting of improved methylome imputation models increases power to identify CpG site-phenotype associations
<p>MIMOSA DNA methylation prediction models, set up for MWAS. To run MWAS with this resource, see the tutorial here: <a href="https://github.com/ChongWuLab/MIMOSA">https://github.com/ChongWuLab/MIMOSA</a></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.