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227 results for “Provenance”
Text-fig. 8. Scatter diagram of SDQ vs A/L 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. 8. Scatter diagram of SDQ vs A/L M. savini and Arvicola from different geographical provenances and ages.
Text-fig. 6. Diagram showing the variation of the enamel pattern (index SDQ) 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. 6. Diagram showing the variation of the enamel pattern (index SDQ) vs Time slices in m1s of M. savini and Arvicola from different geographical provenances.
Text-fig. 5. Diagram showing the variation of Anteroconid length (index A/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. 5. Diagram showing the variation of Anteroconid length (index A/L) vs Time slices in m1s of M. savini and Arvicola from different geographical provenances.
Signed Citation of Provenance of GBIF Occurrence Downloads referenced in Chesshire et al. 2023 doi:10.1111/ecog.06584 hash://sha256/9e3ca96d94229e20f47c14efaa59f793845aa37d9f6c698d2dd35876705e9feb hash://md5/43652e3d26989008026e092e3f04b04d
<p>Chesshire et al. 2023. scientific publication [1] used and referenced three GBIF mediated occurrence download queries [2,3,4] and associated data. However, in their GBIF records indicate that the data associated with the three download queries are slated for removal at any point after 2021-08-03 . This publication explicitly references the DOIs associated with [2,3,4] and documents the provenance of their associated meta-data records. The provenance was captured using Preston [5,6], a biodiversity dataset tracker. </p> <p>The signed citation of this provenance publication can be derived from:</p> <pre><code class="language-bash">preston history\ --anchor hash://sha256/9e3ca96d94229e20f47c14efaa59f793845aa37d9f6c698d2dd35876705e9feb\ --remote https://zenodo.org/record/7849559/files</code></pre> <pre><code><hash://sha256/f2d8bdaec7a416a0039e9398cf07c6fa69083f64a6f22de3f252ebb5dd4fd412> <http://www.w3.org/ns/prov#wasDerivedFrom> <hash://sha256/c457565ea0cec7b0392f1271fcda08440919f03bbf29bb8df1eb926c78a972cc> . <urn:uuid:0659a54f-b713-4f86-a917-5be166a14110> <http://purl.org/pav/hasVersion> <hash://sha256/c457565ea0cec7b0392f1271fcda08440919f03bbf29bb8df1eb926c78a972cc> .</code></pre> <p>And their tracked content include, as obtained via </p> <pre><code class="language-bash">preston alias\ --anchor hash://sha256/9e3ca96d94229e20f47c14efaa59f793845aa37d9f6c698d2dd35876705e9feb\ --remote https://zenodo.org/record/7849559/files</code></pre> <table> <caption>Tracked content associated with hash://sha256/9e3ca96d94229e20f47c14efaa59f793845aa37d9f6c698d2dd35876705e9feb</caption> <tbody> <tr> <td>content location</td> <td>content relation</td> <td>content id</td> </tr> <tr> <td>https://doi.org/10.15468/dl.6cxfsw</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/6b8b5f79af53dee98c3654b945389628194c9e9f0ad610852327574b3f99ff7a</td> </tr> <tr> <td>https://doi.org/10.15468/dl.b9rfa7</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/a74cfe8a6c6b7d2361f41cc04979c262b5fbba60c0992253ae78fe6d31f414bb</td> </tr> <tr> <td>https://doi.org/10.15468/dl.w2nndm</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/6a587a219e78ff2674fbb54d99fed48c21b77bc46608d8f991e79ee06a547fac</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/0182006-200613084148143</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/1c5d8a7399793a634a0dde32f3a94ccf64199f010d7f93baa422c2e1dbb98b2f</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/0182032-200613084148143</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/23d7c875420bea71d24c1ec3ba127f91eff5b368744de14824de0fc4fc090bb2</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/0182076-200613084148143</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/6555d581e0ce75c77740811e547da726297d02369b149893faf531f132a2aff0</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/0182006-200613084148143</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/2c4c4f4cd1151bc65394466416b066c19422fe22b8eb64c5c144fb7889ea2f16</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/0182032-200613084148143</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/e4e9742259e9232c773ab157e34af1cfebfd09050effb49c15db032057fc5750</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/0182076-200613084148143</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/20915d475c63fa6f96ab127ff5efb5554df40208596244349d110432b478168b</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/request/0182006-200613084148143.zip</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/d14a14e549e3caa8965daecad6fcb0cfddd4be12fb78a495b248c380df41db9b</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/request/0182032-200613084148143.zip</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/3fc1b6491813f5d7e2d32b7c6cadb1ae60558f31a4489e23735c43bd74ed4db6</td> </tr> <tr> <td>https://api.gbif.org/v1/occurrence/download/request/0182076-200613084148143.zip</td> <td>http://purl.org/pav/hasVersion</td> <td>hash://sha256/7ddea84a67329ec8eea389d09798e5b6d60d86c39b975590f117679cdbbe8e20</td> </tr> </tbody> </table> <p>This data publication, and associated tracked content, can be cloned using:</p> <pre><code class="language-bash">preston clone https://zenodo.org/record/7849559/files</code></pre> <p><br> Note that the original publication dated 2023-04-03 did *not* include the associated tracked data retrieved from https://api.gbif.org/v1/occurrence/download/request/0182006-200613084148143.zip, https://api.gbif.org/v1/occurrence/download/request/0182032-200613084148143.zip, https://api.gbif.org/v1/occurrence/download/request/0182076-200613084148143.zip. However, on 2023-03-17, the data associated with [2], [3], [4] were still marked for deletion in the GBIF ecosystem, two weeks after the respective DOIs were first cited in the v0.1 of this data publication. This 2023-03-17 publication includes tracked content that shows the associated data is marked for deletion, and contains the associated data archives. </p> <p>The example below shows a tracked versions of the metadata associated with the download request/query doi:10.15468/dl.w2nndm [4] indicates that the associated data is scheduled to be "eraseAfter" "2021-08-03T19:18:46.611+00:00". </p> <pre><code class="language-bash">preston cat\ --remote https://zenodo.org/record/7837572/files\ hash://sha256/6555d581e0ce75c77740811e547da726297d02369b149893faf531f132a2aff0\ | jq .</code></pre> <p> </p> <pre><code class="language-json">{ "key": "0182076-200613084148143", "doi": "10.15468/dl.w2nndm", "license": "http://creativecommons.org/licenses/by-nc/4.0/legalcode", "request": { "predicate": { "type": "and", "predicates": [ { "type": "equals", "key": "DATASET_KEY", "value": "e05f6e7d-418e-4407-8e0f-7b8ccf21109e", "matchCase": false }, { "type": "or", "predicates": [ { "type": "equals", "key": "TAXON_KEY", "value": "4334", "matchCase": false }, { "type": "equals", "key": "TAXON_KEY", "value": "4345", "matchCase": false }, { "type": "equals", "key": "TAXON_KEY", "value": "7911", "matchCase": false }, { "type": "equals", "key": "TAXON_KEY", "value": "7908", "matchCase": false }, { "type": "equals", "key": "TAXON_KEY", "value": "7901", "matchCase": false }, { "type": "equals", "key": "TAXON_KEY", "value": "7905", "matchCase": false } ] } ] }, "sendNotification": true, "format": "DWCA", "type": "OCCURRENCE", "verbatimExtensions": [] }, "created": "2021-02-03T19:18:46.687+00:00", "modified": "2021-02-03T19:20:03.899+00:00", "eraseAfter": "2021-08-03T19:18:46.611+00:00", "status": "SUCCEEDED", "downloadLink": "https://api.gbif.org/v1/occurrence/download/request/0182076-200613084148143.zip", "size": 2624689, "totalRecords": 11654, "numberDatasets": 1 }</code></pre> <p>Also, on after (re-)running</p> <pre><code class="language-bash">preston track\ https://doi.org/10.15468/dl.6cxfsw\ https://doi.org/10.15468/dl.b9rfa7\ https://doi.org/10.15468/dl.w2nndm</code></pre> <p>on 2023-04-20, the download record metadata retrieved from https://api.gbif.org/v1/occurrence/download/0182006-200613084148143 and associated with https://doi.org/10.15468/dl.6cxfsw appeared to no longer be marked for deletion, as shown by the difference between a pre-2023-04-20 version (i.e. hash://sha256/1c5d8a7399793a634a0dde32f3a94ccf64199f010d7f93baa422c2e1dbb98b2f) with the newly retrieved response on 2023-04-20 (i.e., hash://sha256/2c4c4f4cd1151bc65394466416b066c19422fe22b8eb64c5c144fb7889ea2f16).</p> <p>The difference is highlighted below using the diff and preston tools via</p> <pre><code class="language-bash">diff\ <(preston cat hash://sha256/2c4c4f4cd1151bc65394466416b066c19422fe22b8eb64c5c144fb7889ea2f16 | jq .)\ <(preston cat hash://sha256/1c5d8a7399793a634a0dde32f3a94ccf64199f010d7f93baa422c2e1dbb98b2f | jq .)</code></pre> <p>yielding:</p> <pre><code class="language-diff">116c116,117 < "modified": "2023-04-18T08:09:09.757+00:00", --- > "modified": "2021-02-03T18:00:50.416+00:00", > "eraseAfter": "2021-08-03T17:50:18.453+00:00",</code></pre> <p> This observation is consistent with the 2023-04-18 claim by Daniel Noesgaard [7] that associated download records are no longer marked for deletion.</p> <p><strong>References </strong></p> <p>[1] Chesshire, P.R., Fischer, E.E., Dowdy, N.J., Griswold, T.L., Hughes, A.C., Orr, M.C., Ascher, J.S., Guzman, L.M., Hung, K.-L.J., Cobb, N.S. and McCabe, L.M. (2023), Completeness analysis for over 3000 United States bee species identifies persistent data gap. Ecography e06584. <a href="https://doi.org/10.1111/ecog.06584">https://doi.org/10.1111/ecog.06584</a></p> <p>[2] GBIF.org (3 February 2021) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.6cxfsw">https://doi.org/10.15468/dl.6cxfsw</a></p> <p>[3] GBIF.org (3 February 2021) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.b9rfa7">https://doi.org/10.15468/dl.b9rfa7</a></p> <p>[4] GBIF.org (3 February 2021) GBIF Occurrence Download <a href="https://doi.org/10.15468/dl.w2nndm">https://doi.org/10.15468/dl.w2nndm</a></p> <p>[5] MJ Elliott, JH Poelen, JAB Fortes (2020). Toward Reliable Biodiversity Dataset References. Ecological Informatics. <a href="https://doi.org/10.1016/j.ecoinf.2020.101132">https://doi.org/10.1016/j.ecoinf.2020.101132</a></p> <p>[6] Elliott, M. J., Poelen, J. H., & Fortes, J. (2022, August 29, accepted with minor revisions). Signed Citations: Making Persistent and Verifiable Citations of Digital Scientific Content. <a href="https://doi.org/10.31222/osf.io/wycjn">https://doi.org/10.31222/osf.io/wycjn</a></p> <p>[7] Noesgaard, D. 2023. https://discourse.gbif.org/t/data-queries-doi-10-15468-dl-6cxfsw-doi-10-15468-dl-b9rfa7-doi-10-15468-dl-w2nndm-used-in-chesshire-et-al-2023-were-cited-but-remain-marked-for-deletion/3915/2 accessed at 2023-04-20 .</p>
Timing and provenance of volcanic fluxes around the Permian-Triassic Boundary Mass Extinction in South China: U-Pb zircon geochronology, volcanic ash geochemistry and mercury isotopes
<p>The enclosed dataset contains all of the raw data supporting the results presented in the paper titled: <strong>"Timing and provenance of volcanic fluxes around the Permian-Triassic Boundary Mass Extinction in South China: U-Pb zircon geochronology, volcanic ash geochemistry and mercury isotopes". </strong></p> <p>The Excel data file contains four data sheets as follows: </p> <p>1. Table S1: This sheet contains the U-Pb output table from ETRedux. The data sheet contains all the U and Pb isotopic data generated for the current study.</p> <p>2. Table S2: This excel sheet contains the geochemical compositions of analyzed volcanic ash beds as well as LOI-normalized major element compositions of these ashes.</p> <p>3. Table S3: This excel sheet contains the other geochemical and isotope data for all analyzed samples. This includes Hg concentration and isotope compositions, TOC data, as well as major and trace element concentrations and ratios.</p> <p>4. a final table containing the analyzed Hg isotope compositions for the utilized standard reference materials - ETH Fluka, UM-Almaden, NIST 1632D and MESS-3.</p>
Provenance, Added Clinical Benefit and Therapeutic Area of 632 medicines that entered the French market between 2008 and 2018
<p>This file contains a data set of 632 medicines that entered the French market between 2008 to 2018. 529 medicines are single drugs and 103 are combination medicines. For each drug we present data on provenance (inventor of the drug) and sources referencing our searches for origins of each medicine. We also present added clinical benefit data for all 632 medicines based on HAS and Prescrire matched grading scale as well as therapeutic area of each medicinal product in which the clinical benefit grading was sourced (highest clinical benefit grading attained by the product in the indication based on Prescrire grading). The file also contains data on the medicines approved by the FDA in the United States</p>
Warming, nitrogen deposition and provenance shift above-belowground insect interactions and host compensatory growth
Open the record for dataset details and reuse information.
Data from: Provenance variation in functional traits of European forest trees: Meta-analysis reveals effects of taxa and age despite critical research gaps
Open the record for dataset details and reuse information.
Interactive effects of sun-shade and dry-wet treatments on seedlings of four beech (Fagus sylvatica L.) provenances
<p>We tested whether seedlings of four beech provenances, from contrasting edaphoclimatic environments, expressed differences in trait responses to imposed water stress under sun and shade treatments. Populations from the southern range margin were expected to display greater water-stress tolerance and core populations faster growth rates in the absence of abiotic limitations.</p> <p>Seedlings germinated under controlled conditions and were grown under controlled light-x-watering treatment combinations comprising shade/sun (main plot factor) and well-watered/water-limited (split-plot factor) groups. Beech seedlings remained under the experimental conditions from May through to September.</p> <p>Multiple sampling of growth (height, branching, number of leaves, leaf length, and root collar diameter), and leaves traits reflecting photosynthetic productivity and stress tolerance were made during the spring and summer. Leaf level gas exchange was measured by IRGA, leaf pigmentation by multiple optical sensors, leaf water potential with a pressure chamber, as well as plants and leaf morphological traits at the end of the experiment.</p> <p>Methods and Results are described in detail in the manuscript: Title: <strong>Seedlings from marginal and core populations of European beech (<em>Fagus sylvatica </em>L.) respond differently to imposed drought and shade. </strong>Authors: Fang Wang, David Israel, José-Alberto Ramírez-Valiente, David Sánchez-Gómez, Ismael Aranda, Pedro J Aphalo, T Matthew Robson.</p> <p>Files added are:"OverallData.xlsx" are the raw leaf level data collected in the experiment for the traits recorded, arranged in spreadsheets according to measurement type. Sheets are: "SoilMoistureRData", "PARData", "GasExchangeFigureData", "LeafObsData", "GrowthData", "LeafTraitsFigureData".</p> <p>"SummaryData.xlsx" are the individual replicate plot level summary data (calculated from the OverallData in R) for use in statistical analyses. Sheets are: "comparison", "GasExchangeSummary", "LeafTraitsSummary".</p> <p>"FMIradiation1hrData.xlsx" and "FMIradiation10minData.xlsx" Downloaded FMI irradiance data for the period of the experiment from Kumpula Meteorological Station (at 1hr and at 10 min interval), organised and arranged in spreadsheets: FMIradiation....xlsx files</p> <p>"Statistical Tables.docx" are summaries of the statistical tables calculated from the experimental data.</p> <p>"Statistics.zip" contains individual excel files showing the statistical analyses, least squared means, and pairwise comparisons for each analysed trait, plus the statistical code used to run these analyses. One file put trait- these files are summarised in "Statistical Tables.docx"</p> <p>"Plasticity Index.docx" show the results of calculated plasticity index for each of the traits measured, and details of how this calculation was performed.</p>
Supplementary data for Inter-provenance variability and phenotypic plasticity of wood and leaf traits related to hydraulic safety and efficiency in seven European beech (Fagus sylvatica L.) provenances differing in yield
<p>Dataset and supplementary file for <strong>Inter-provenance variability and phenotypic plasticity of wood and leaf traits related to hydraulic safety and efficiency in seven European beech (<em>Fagus sylvatica</em> L.) provenances differing in yield </strong>paper.</p> <p>The ANFS_data file includes individual level measurements of xylem safety and efficiency traits, leaf traits and growth among 7 provenances planted at two common garden sites in Germany and Slovakia. More details related to the methodology might be found in the published paper by Kurjak et al. 2024.</p> <p>The ANFS_supplementary file includes the test for differences in distance to tip between sites and provenances, based on the branch diameter-branch length scaling.</p>
Provenance rather than nitrogen addition dominate the phenotypes and plasticity of Ambrosia artemisiifolia in China
<p><span>Phenotypic plasticity, which differs between species, populations, individuals, even traits, is considered as one of the mechanisms of plant invasion. We conducted a common garden experiment with six provenances (HRB, CC, HG, ML, MZ, LB) of <em>Ambrosia artemisiifolia</em> and three nitrogen addition treatments to test their performance response. In order to explore the adaptation strategies of <em>A. artemisiifolia </em>towards heterogeneous habitats, phenotypic plasticity indexes were calculated to analyze among different provenances and traits. All traits were significantly influenced (<em>P</em><0.05) by provenance, except for number of inflorescences, inflorescences length and intercellular CO<sub>2</sub> concentration. Nitrogen addition notably affected on seed length, root biomass ratio, root-shoot ratio and four physiological traits (Pn, Tr, Gs, Ci). Among six provenances, the phenotypic plasticity index differed significantly (<em>P</em><0.05), but there were no significant differences of plasticity among nitrogen treatments. And biomass phenotypic plasticity was relatively higher both in response to prevenance and to nitrogen. We also found that only the plasticity of 100-seed weight was closely related to latitude, climate and genetic factors. In summary, provenances had a greater impact on the phenotype and plasticity of <em>A. artemisiifolia</em> than nitrogen addition, indicating the potential for further evolution of plasticity. Differences in plasticity among provenances and traits are important in predicting the invasion trend of <em>A. artemisiifolia</em> in the future.</span></p>
Provenance Data for "Simulation Studies of Social Systems - Telling the Story Based on Provenance"
<p>This repository contains the provenance graph for the paper "Simulation Studies of Social Systems – Telling the Story Based on Provenance" by Oliver Reinhardt, Toby Prike, Martin Hinsch, Jakub Bijak, Adelinde M. Uhrmacher.</p> <p>The data may be imported into <a href="https://doi.org/10.5281/zenodo.6786191">WebProv</a> to display and edit the provenance graph.</p>
Influence of water limitation and provenance on reproductive traits in a common garden of Frangula alnus
<p><strong>Files</strong></p> <ul> <li><strong>zenodofalnusmotherplants.xlsx</strong>: data from mother plants from which berries were picked in 2020</li> <li><strong>zenodofalnusberrystone.xlsx</strong>: details on the berries and stones</li> </ul> <p><strong>Abstract of related paper</strong></p> <p>Drought periods during the growing season will increase and intensify in Western Europe due to climate change. To better understand the consequences for woody perennials, we restricted watering of potted cuttings of <em>Frangula alnus </em>Mill. in a common garden setting in Belgium during the growing season of 2020. We focused on the responses of three provenances (Belgian, Italian and Swedish) for several reproductive traits in the year of the water limitation. <em>F. alnus</em> can blossom on current season's growth and can therefore produce ripened berries continuously during several months. The total berry count over the whole growing season was much lower in the water-limited plants, independent of the provenance. The Belgian provenance produced more ripened berries in total than the Italian and Swedish provenances, both in the water-limited as in the control plants. Maximum berry production occurred in July. The control plants from the Belgian and Italian provenances displayed a second lower maximum in August. Mainly the Swedish provenance displayed a clear advancement of the maximum berry production among the water limited plants in comparison to the control plants. Slight differences were detected in the average stone count per berry and in the average stone weight over time, with both traits displaying a single maximum. The Swedish provenance displayed the highest average stone count per berry and the Belgian provenance had the lightest average stone weight, both likely attributable to local adaptation. Remarkably, both stone traits were not affected by the water limitation. Results are discussed in the face of several drought response mechanisms including drought escape, drought avoidance, compensation growth, growth/reproduction trade-off and seed size/weight trade-off.</p>
Evidence of Jurassic extension in NW Argentina: Characterization of fault-related strata at the Salta Group base using sandstone provenance and zircon U–Pb geochronology
<p>Supporting information accompanying the publication "Evidence of Jurassic extension in NW Argentina: Characterization of fault-related strata at the Salta Group base using sandstone provenance and zircon U–Pb geochronology" published in Journal of South American Earth Sciences. The dataset contains information on analytical procedures of detrital zircon U-Pb analyses.</p>
Analyses, data and figures related to: "Connecting ships: Using dendrochronological network analysis to determine the wood provenance of Roman-period river barges found in the Lower Rhine region and visualise wood use patterns"
<p>Analyses, data and figures related to: "Connecting ships: using dendrochronological network analysis to determine the wood provenance of Roman-period river barges found in the Lower Rhine region and to visualise patterns of wood use" by Ronald M. Visser (Saxion University of Applied Sciences, Deventer, the Netherlands) and Yardeni Vorst (Vorst wood research, Zaandam, the Netherlands) submitted to the International Journal of Wood Culture</p>
IDMT Audio Provenance Analysis Dataset
<p>This dataset contains two distinct collections tailored for evaulating audio provenance analysis solutions within specified scenarios: Singular Composition and Multi-Source Composition. For a comprehensive understanding of these scenarios and the process behind generating the test files, please consult the referenced publication.</p> <p>This dataset is accompanied to publication and in case you use it please cite:</p> <p>M. Gerhardt, L. Cuccovillo, P. Aichroth, “Audio Provenance Analysis in Heterogeneous Media Sets”, <em>2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),</em> in press.</p>
Data from a drought experiment on saplings of Crataegus monogyna in a common garden setting with three provenances (Belgian, Swedish and Spanish)
<p><span>Data are from the common shrub <em>Crataegus monogyna</em> that experienced two summer droughts, each followed by rewatering. The experimental design consisted of a common garden with potted saplings from a local Belgian, a Swedish and a Spanish-Pyrenean provenance. We quantified the effects on growth and leaf phenology, focusing on the legacies in the year following the droughts. Responses were influenced by the severity of the drought and by its timing. </span></p>
Supplementary Dataset for "Grain Size Measurements of the Eolian Stimson Formation, Gale Crater, Mars and Implications for Sand Provenance and Paleoatmospheric Conditions"
<p>Grain size measurements and results in support of "Grain Size Measurements of the Eolian Stimson Formation, Gale Crater, Mars and Implications for Sand Provenance and Paleoatmospheric Conditions".</p> <p>The subfolder "MAHLI images" consists of images taken by the Mars Science Laboratory <em>Curiosity</em> Mars Hand Lens Imager; these images are accesible via the MSL Analyst's Notebook at an.rsl.wustl.edu.</p> <p>The subfolder "ImageJ ROIs" contains .zip files that can be opened with the ImageJ software, available at imagej.nih.gov/ij.</p> <p>The subfolder "GRADISTAT results" contains PDFs with grain size statistics that were created from the data in "Grain size measurements" using the GRADISTAT software, available at https://doi.org/10.1002/esp.261. </p>
Figure 2 in Distribution, behaviour, and provenance of Oriental Dollarbirds Eurystomus orientalis in Micronesia, including the first two records from the Mariana Islands
Figure 2. Locations of 34 known Oriental Dollarbird Eurystomus orientalis records from Micronesia.
alawinia/provClustering: Discovering Similar Workflows via Provenance Clustering
<p>Several workflow management systems and scripting languages have adopted provenance tracking, yet many researchers choose to manually capture or instrument their processing scripts to write provenance information to files. The Next Generation Sequencing (NGS) project we are associated with is tracking provenance in such manner. The NGS project is a collaboration between multiple groups at different sites, where each group is collecting and processing samples using an agreed-upon workflow. The workflow contains many stages with varying degrees of complexity. Over time workflow stages are modified, but data samples are only comparable when processed with identical versions of the workflow. However, for various reasons (including the distributed nature of the collaboration) it is not always clear which samples have been processed with which version of the workflow. In this paper, we introduce new techniques for clustering provenance datasets and attempt to discover the ones that are likely to be generated by same workflow. Based on the clustering result, users can identify similar provenance and would be able to categorize them into different clusters for debugging and zoom-in/zoom-out viewing.</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.