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227 results for “provenance”
FIG. 6 in The Paris Bloubok (Hippotragus leucophaeus (Pallas, 1766) [Bovidae]) and its provenance
FIG. 6. — Illustration of Levaillant's Bloubok. University of Leiden Library. Courtesy of the Library.
leaf anatomy, vascular traits and nanomechanical cell-wall properties in European beech provenances
<p>The file contains leaf anatomical data (thickness of individual leaf parenchyma layers), vascular traits of leaf midrib (vessel area and density and derived parameters), and nanomechanical properties of xylem cell walls (modulus of elasticity, adhesion, energy dissipation and deformation), which were studied in 15 provenances of European beech, originating from sites distributed across the whole range of the species. The trial plot (locality Tale in central Slovakia) was established in 1998 with 2-years-old seedling within the international provenance experiment with beech coordinated by the Institute of Forest Genetics of Thuenen Institute Grosshansdorf. Leaf anatomy was studied using light microscopy, while fluorescent microscopy was used to acquire vascular traits and atomic-force microscopy for nanomechanical cell-wall traits. Sun leaves were collected from 4 trees per provenances, 1 leaf per tree was analyzed. AFM was done in a subset of 8 provenances. The aim of the study was assessing geographical trends of the studied traits and their association with climate at the sites of origin to reveal potential adaptive variation patterns.</p>
Differential associations between nucleotide polymorphisms and physiological traits in Norway spruce (Picea abies Karst.) provenances under contrasting water regimes
<p>Three datasets are provided here, yielded by a study on drought-stressed and control (well-watered) seedlings of Norway spruce (Picea abies Karst.), coming from 5 provenances distributed along a steep altitudinal gradient from 550 to 1,280 m a.s.l. in central Slovakia:</p> <p>1. physiological traits</p> <p>2. double-digest restriction-site associated sequencing data (ddRAD)</p> <p>3. nuclear microsatellite (nSSR) genotypes</p>
Linking provenance and its metadata for an AI-based computation using CPM and RO-Crate
<p>This dataset is a prototype implementation of a mechanism for linking provenance information and its metadata, also called provenance of provenance or meta-provenance. This dataset is an <a href="https://www.researchobject.org/ro-crate/">RO-Crate</a> that bundles artifacts of an AI-based computational pipeline. The resulting RO-Crate contains (directly or by a reference) artifacts of the pipeline execution, such as input dataset, intermediate and final results, configuration files, pipeline implementation, log files, or provenance files. The RO-Crate is based on the <a href="https://w3id.org/cpm/ro-crate/0.2">CPM RO-Crate profile</a>, which integrates the <a href="https://doi.org/10.1038/s41597-022-01537-6">Common Provenance Model</a> (CPM) and <a href="https://w3id.org/ro/wfrun/process/0.2">Process Run Crate profile</a>. The description of the AI pipeline and an explanation of how the CPM RO-Crate profile is applied to bundle the pipeline execution artifacts is provided in our <a href="https://doi.org/10.5281/zenodo.7676924">previous work</a>.</p> <p>As this dataset aims to demonstrate the mechanism for linking provenance and meta-provenance, the input dataset used for the AI model training and testing is reduced only to a few images, as the size of the input dataset does not affect the mechanism. The images used in the input are from the <a href="http://gigadb.org/dataset/100439">Camelyon16 dataset</a>.</p> <p> </p>
Investigations on single and multi-grain optically stimulated luminescence (OSL) sensitivity and electron spin resonance (ESR) signals in quartz derived from sandstones: Insights on provenance of quartz in ancient depositional systems
<p><span>Trapped charge techniques of luminescence and electron spin resonance (ESR) are classic tools for dating Quaternary deposits. Over the past decade, these techniques have been routinely applied to investigate provenance and /or the sedimentary history of grains based on the different luminescence and ESR characteristics of quartz. Of these, optically stimulated luminescence (OSL) sensitivity is one of the most widely investigated parameter for luminescence-based provenance approach. A majority of studies on this parameter are based on evaluation of multi-grain OSL sensitivity of the samples. This is particularly concerning because single-grain quartz luminescence studies have shown that the luminescence signal of a multi-grain aliquot is contributed by less than ~1-10% of the total grains. Since the sole criteria for discrimination of sources based on luminescence sensitivity relies on its intensity, therefore the results based on multi-grain analysis will most likely be skewed depending on the proportion and ‘brightness’ of a few grains. This demands a need to evaluate the potential of single-grain quartz OSL sensitivity in provenance studies. In this study, we investigate single and multi-grain quartz OSL sensitivities from compositionally different sandstones with well-characterised sources based on U-Pb zircon ages. We further complement this analysis with characterisation of ESR centres commonly used in quartz provenance, namely E’<sub>1</sub> and [AlO<sub>4</sub>]<sup>0</sup> centres. Our study shows that single-grain quartz OSL sensitivity can help distinguish between sediments that have a predominant input from a single source as compared to those with contribution from multiple sources, which otherwise cannot be inferred from multi-grain studies. Moreover, our results on characterisation of quartz-based ESR intensity of E’<sub>1</sub> and saturated [AlO<sub>4</sub>]<sup>0</sup> centres successfully differentiates between sandstones and further complements the luminescence-based characterisation. </span></p>
Tara Pacific samples provenance and environmental context - version 2
<p>This publication includes the provenance metadata and environmental context of all samples generated by the Tara Pacific Expedition. The metadata fields and parameters are detailed in the readme files. Provenance is given in a single UTF-8 encoded tab-separated-values file. Environmental context is provided in eleven UTF-8 encoded tab-separated-values files, all with the same structure, but each providing a different statistic: </p> <ul> <li>"n" = number of values</li> <li>"mean" = mean value</li> <li>"stdev" = standard deviation</li> <li>"P05" = 5 percentile, i.e. minimum (Q0)</li> <li>"P25" = 25 percentile, i.e. first quartile (Q1)</li> <li>"P50" = 50 percentile, i.e. median (Q2)</li> <li>"P75" = 75 percentile, i.e. third quartile (Q3)</li> <li>"P95" = 95 percentile, i.e. maximum (Q4)</li> <li>"dt" = lag in time, i.e. difference between the collection date/time of the sample and that of the environmental context provided</li> <li>"dxy" = lag in horizontal space, i.e. distance between the collection location of the sample and that of the environmental context provided</li> <li>"dz" = lag in vertical space, i.e. difference between the collection depth/altitude of the sample and that of the environmental context provided</li> </ul> <p>Missing value terms are:</p> <ul> <li>"nav" = not-available, i.e. the expected information is not given because it has not been collected or generated</li> <li>"npr" = not-provided, i.e. the expected information has been collected or generated but it is not given, i.e. a value may be available in a later version or may be obtained by contacting the data providers</li> <li>"nac" = confidential, i.e. the expected information has been collected or generated but is not available openly because of privacy concerns</li> <li>"nap" = not-applicable, i.e. no information is expected for this combination of parameter, environment and/or method, e.g. depth below seabed cannot be informed for a sample collected in the water or the atmosphere</li> </ul>
Provenance of Software Projects hosted on GitLab.com
<p>Provenance of Software Projects hosted on GitLab - Data set</p>
Provenance Run Crate specification
<p><strong>Web version:</strong> <a href="https://w3id.org/ro/wfrun/provenance/0.5">https://w3id.org/ro/wfrun/provenance/0.5</a></p> <p>This specification is part of a collection of <a href="https://w3id.org/ro/crate/">RO-Crate</a> profiles for capturing the provenance of an execution of a computational workflow. The Provenance Run Crate profile can be used to describe the execution of a workflow including internal details such as step executions and intermediate outputs.</p>
Figure 4 in Distribution, behaviour, and provenance of Oriental Dollarbirds Eurystomus orientalis in Micronesia, including the first two records from the Mariana Islands
Figure 4. New records of Oriental Dollarbirds Eurystomus orientalis from the Mariana Islands: (a) a bird photographed on Saipan, 2 July 2018 (Janelle Chojnacki); lightening of shadows in Photoshop enabled HDP to categorise this individual as a juvenile; (b) an adult photographed on Guam, 24 September 2018 (Megan M. Pendred).
Data for the publication "Rare Earth Elements in oyster shells: provenance discrimination and potential vital effects"
<p>Rare Earth Elements (REE) and yttrium measurements from modern and archaeological oyster shells collected by LA-ICP-MS. This dataset is used in the publication 'Rare Earth Elements in oyster shells: provenance discrimination and potential vital effects'.</p>
Figure S1 in Do Castanea sativa wild provenances influence Dryocosmus kuriphilus Yasumatsu (Hymenoptera: Cynipidae) infestations?
Figure S1. Results of climatic data analysis of the interval June–July (left panel a) and December–February (right panel b) in 2013, 2014, 2015, and 2016. Temperature and relative humidity indicate mean value (dot) and standard error (bars). Rain is the sum of total rainfall in the interval, without confidence interval. The left vertical axis is divided in two sections, the average temperature at bottom, and the relative humidity at the top, respectively. Different letters indicate significant differences between years at p <0.05. Differences between years in temperature and relative humidity were tested with ANOVA and posthoc Tukey HSD test (p <0.05). Difference in rainfall between years were tested with x!-test (p <0.05).
Figure 3 in Do Castanea sativa wild provenances influence Dryocosmus kuriphilus Yasumatsu (Hymenoptera: Cynipidae) infestations?
Figure 3. Infestation by D. kuriphilus on six C. sativa provenances grown in common garden field trial, during the years 2015 (top plots) and 2016 (bottom plots). Panels a) and c) number of gallsper shoot/branch; b) and d) number of cells per gall. Bars represent mean and standard error. Within each plot, different letters indicate significant difference between provenances after Bonferroni posthoc test at p <0.05.
Figure 1 in Do Castanea sativa wild provenances influence Dryocosmus kuriphilus Yasumatsu (Hymenoptera: Cynipidae) infestations?
Figure 1. South Europe map localising the experimental site in Castel Giorgio (Italy) (black dot) where the investigation was conducted. Black stars and codes identify the provenance areas of the chestnuts that were considered in this study.
Linked collectors and determiners for: Liste de quelques espèces provenant des données mobilisées dans les institutions étrangères (Naturalis Biodiversity Center Data).
Natural history specimen data linked to collectors and determiners held within, "Liste de quelques espèces provenant des données mobilisées dans les institutions étrangères (Naturalis Biodiversity Center Data)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f1f71b62-12c3-4d76-8b7f-2234153b8f15">https://bionomia.net/dataset/f1f71b62-12c3-4d76-8b7f-2234153b8f15</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f1f71b62-12c3-4d76-8b7f-2234153b8f15">https://gbif.org/dataset/f1f71b62-12c3-4d76-8b7f-2234153b8f15</a>. Formatted as a Frictionless Data package.
Text-fig. 13. Scatter diagram of m1 length vs SDQ for pre-Eemian (time slice 5) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 13. Scatter diagram of m1 length vs SDQ for pre-Eemian (time slice 5) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 11. Scatter diagram of m1 length vs SDQ for Würmian/Weichselian (time slice 3) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and extant Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 11. Scatter diagram of m1 length vs SDQ for Würmian/Weichselian (time slice 3) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and extant Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 12. Scatter diagram of m1 length vs SDQ for Eemian (time slice 4) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 12. Scatter diagram of m1 length vs SDQ for Eemian (time slice 4) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 10. Scatter diagram of m1 length vs SDQ for Extant (time slice 1 and 2) Arvicola samples of different geographical provenances compared with M. savini-A. mosbachensis. Abbreviations: EU – Europe, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 10. Scatter diagram of m1 length vs SDQ for Extant (time slice 1 and 2) Arvicola samples of different geographical provenances compared with M. savini-A. mosbachensis. Abbreviations: EU – Europe, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 9. Scatter diagram of m1 length vs SDQ for M. savini and Arvicola from different geographical provenances and ages. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 9. Scatter diagram of m1 length vs SDQ for M. savini and Arvicola from different geographical provenances and ages.
Text-fig. 7. Diagram showing the variation of the size (L) vs Time slices in m1s of M. savini and Arvicola from different geographical provenances. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 7. Diagram showing the variation of the size (L) vs Time slices in m1s of M. savini and Arvicola from different geographical provenances.
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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.