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3,023 results for “Imports”
Krefeld_Important_Persons_Portraits_Mingei
<p>Documentation material from the Silk pilot of the Mingei project</p>
The importance of geometry in the corneal micropocket angiogenesis assay
<p>Dataset and software supporting the submitted and revised manuscript for the study: "The importance of geometry in the corneal angiogenesis micropocket assay." See the enclosed README and manuscript for further information.</p>
Data and Code for "Cell Type-specific Genome Scans of DNA Methylation Diversity Indicate an Important Role for Transposable Elements"
<p>This is a release of the gitlab repository "meta-methylome" (https://gitlab.com/okartal/meta-methylome.git) that, in addition to the code, also contains the resulting genomic data.</p> <p>Extract the directory on the command line using</p> <pre><code class="language-bash">$ tar -xhzvf meta-methylome.tar.gz</code></pre> <p>to preserve the symbolic links.</p>
Why Science is Important
<p>This is a 3-minute video to promote science engagement and the Multispecies Ovary Tissue Histology Electronic Repository (MOTHER) project.</p> <p>Disclaimer: The MOTHER project was funded by the U.S. National Science Foundation (DBI-2054061). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.</p>
Supplementary Material: Knobs and dials of retrieving JWST transmission spectra. I. The importance of p-T profile complexity
<p>This is supplementary material to <a title="Schleich et al. (2024)" href="https://www.aanda.org/articles/aa/abs/2024/10/aa51845-24/aa51845-24.html" target="_blank" rel="noopener">Schleich et al. (2024)</a>. The content of the provided data repository (also described in the file "content.txt") is as follows:</p> <p> </p> <h2>ADDITIONAL ANALYSIS</h2> <p>This folder contains a collection of ancillary data products for the evaluation of the retrievals performed in this work.</p> <ul> <li>'bayes-factor' contains the data tables for evaluating the Bayes' factor for each separate collection of models(*)</li> <li>'corner-plots' contains a collection of all corner plots associated with the individual input cases</li> <li>'fit-residuals' contains all fit residuals for the individual atmospheric retrievals performed in this work (used to make Fig. C.1)</li> <li>'resampled-pt-profiles' contains resampled p-T profiles to generate Figs. 6 and F.1</li> <li>'retrieval-accuracy' contains additional plots related to the accuracy of each retrieval (used to make Fig. 5, as well as Figs. E.1 - E.5)</li> </ul> <p><br>(*) SIDE NOTE:<br>Table headers in the "bayes-factor" data tables reference evidence reported from MultiNest (variable "Z"), and calculated Bayes factor (variable R). The case with log(R) = 0 is necessarily the reference case, and outliers are marked in a binary table with 1 (|log(R)| > 5) or 0 (|log(R)| < 5). In all cases, "log" refers to the natural logarithm.</p> <ul> <li>If someone actually reads this, I'm sorry. I also spent way too much time trying to track down if the values reported in MultiNest are natural or base-10 logarithm. I have now been convinced that it is worth it, always, to either specify "ln" for the base-e logarithm, or give the base of your logarithm if your write it down (i.e. log_10(X)) -Simon.</li> </ul> <h1> </h1> <h2>RETRIEVAL RESULTS</h2> <p>This folder contains the data products associated with the retrieval runs for each synthetic spectrum. The sub-directories are aranged by the following keys:</p> <ul> <li>'drs' and 'pandexo' refere to the two noise cases considered</li> <li>'inv-t' and 'norm-t' refere to the two underlying p-T profiles used to make the synthetic spectra</li> <li>'hpc', 'mpc', and 'lpc' refere two the three cloud-top pressure cases considerd</li> </ul> <p>Each individual folder contains (1) the TauREx parameter files for running retrievals using the selection of p-T profiles, (2) a folder called 'results', which containts the associated data products, and (3) a folder called 'chains', which stores the ancillary data products associated with the MultiNest sampling runs of each retrieval.</p> <p> We note that for the "drs_inv-t_mpc" case, the chains for the isothermal, 2-point, and 4-point runs have been lost</p> <p> </p> <h2>SYNTHETIC SPECTRA</h2> <p>This folder contains data products associated with the sample of synthetic transmission spectra.</p> <ul> <li>'pt-profile_*.csv' are csv-files containing the p-T points used to make Figure 1 , and to generate the synthetic transmissions spectra</li> <li>'forward-models' contains TauREx parameter files and forward models for the sample of synthetic transmission spectra. Each of the sub-directories also contains a faux-spectrum representing the wavelength-map of NIRSpec PRISM <ul> <li>'no-clouds' contains contains the above for generating Figure 3.</li> <li>'inv-t' contains forward models using the "inverse" p-T profile</li> <li>'norm-t' contains forwrad models using the "monotonic" p-T profile</li> </ul> </li> </ul>
Weekly plots of Great Britain's half-hourly electrical system weather dependent generation, net imports and overall demand from 2008-11-10
<p>Plots that show the electrical system transition of Great Britain, they were created to form the individual frames for a video of the transition.</p>
Maintenance of Convectively Coupled Kelvin waves: Relative Importance of Internal Thermodynamic Feedback and External Momentum Forcing (Code and Data)
<p>This is the dataset and code for generating all figures for the journal article named "Maintenance of Convectively Coupled Kelvin Waves: Relative Importance of Internal Thermodynamic Feedback and External Momentum Forcing," The article was written by Mu-Ting Chien and Daehyun Kim and submitted to Geophysical Research Letters in 2024.</p>
Areas of global importance for conserving terrestrial biodiversity, carbon, and water
<p><strong>Content:</strong><br> This data repository contains the results of the NatureMap ( naturemap.earth/) conservation prioritization effort. The maps were created by jointly optimizing biodiversity and NCPs such as carbon and/or water.</p> <p><strong>Usage notes:</strong><br> Maps are supplied at both 10km and 50km resolution unless specified differently in the manuscript.<br> All maps that aim to find priority areas for all species considered in the analysis, utilize a series of representative sets.<br> The ranks for each layer are area-specific and can be used to extract summary statistics by simple subsetting.<br> For example:<br> To obtain the top 30% of land area for biodiversity and carbon, one needs to create a mask of all areas lower than a value of 30 from the respective ranked layers.</p> <p>For convenience two files are supplied that contain the fraction of land area per grid cell times 1000. Multiplying those with the cell area (100km2, respectively 2500km2) gives the exact amount of land area in a given grid cell.<br> These are labelled " globalgrid_mollweide_**km.tif " can be used to create masks for the priority maps.</p> <p><strong>Spatial resolution:</strong></p> <p>10 and 50 km</p> <p><strong>Geographic projection:</strong><br> World Mollweide Equal Area projection<br> PROJ4 ( +proj=moll +lon_0=0 +x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs )</p> <p><strong>Filename suffix description:</strong></p> <p><em>'minshort_speciestargets'</em><br> =- Problem formulation where targets were achieved by minimzing a shortfall</p> <p><em>'repruns10'</em><br> =- The number of representative that were used to create the ranked layer</p> <p><em>'biome.id'</em><br> =- Species distribution were split by biome, thus creating separate targets for subpopulation</p> <p><em>'withPA'</em><br> =- Fractions of current protected areas (Date: WDPA 2019) were locked in as baseline and starting budget. Approximately 15% of the globe. Note that not entire grid cells, but fractions were locked in and build opon!</p> <p><em>'carbon'</em><br> =- Carbon was included in the prioritization and jointly optimized together with the other assets by giving it equal weighting (see manuscript)</p> <p><em>'water'</em><br> =- Water was included in the prioritization and jointly optimized together with the other assets by giving it equal weighting (see manuscript)</p> <p><strong>License:</strong><br> CC-BY-SA 4.0</p> <p><strong>Citation:</strong><br> Jung, Martin, Andy Arnell, Xavier De Lamo, Shaenandhoa Garcia-Rangel, Matthew Lewis, Jennifer Mark, Cory Merow et al. (2021) "Areas of global importance for terrestrial biodiversity, carbon, and water." Nature Ecology & Evolution</p>
Doctoral Students' Educational Needs in Research Data Management: Quantitative Data of Perceived Importance and Current Competencies
<p>These data sets include numerically coded answers to Likert-like scale questions concerning the importance and perceived current research data management competencies of doctoral students. Interviewees were 35 doctoral students and faculty members. Interview forms are attached. The data is connected with the research article: https://doi.org/10.2218/ijdc.v16i1.684</p>
Result data related to "Tröndle et al (2019) -- Home-made or imported: on the possibility for renewable electricity autarky on all scales in Europe"
<p>The files include results to out study investigating the possibility for renewable electricity autarky in Europe. For each administrative unit on the continental, national, regional, and municipal levels these files include:</p> <ol> <li>Name, country, population, current electricity demand, land cover statistics, shared coast with exclusive economic zone</li> <li>Potential in terms of area [km2], installable capacity [MW], annual electricity yield [TWh]</li> </ol> <p>If you use this data in an academic publication, please cite the following article:</p> <blockquote> <p>Tröndle, T., Pfenninger, S., & Lilliestam, J. (2019). Home-made or imported: on the possibility for renewable electricity autarky on all scales in Europe. <em>Energy Strategy Reviews</em>, <em>26</em>.</p> </blockquote> <p>CHANGELOG:</p> <p>Version 3 (2021-07-19)</p> <p>* Fix ID of EEZ in shared-coast.csv files.</p> <p>Version 2 (2019-11-08)</p> <p>* Add land cover statistics for each unit.</p>
Dataset: Import options for chemical energy carriers from renewable sources to Germany
<p>This dataset contains results and additional data related to the publication "Import options for chemical energy carriers from renewable sources to Germany".</p> <p>Files containing major results / important cost input data:</p> <ul> <li><strong>results.csv</strong>: Contains major model results for all scenarios as CSV file (seperator is ';', all fields are quotes using double quotation marks '"'). Can be explored using standard software like Excel/Libre Office or other tools.</li> <li><strong>costs.zip</strong>: Technology specific input cost assumption for 2030, 2040 and 2050.</li> </ul> <p>The dataset further contains the following archives related to the model structure as contained in the software repository (GitHub):</p> <ul> <li><strong>config.zip</strong>: File contents of the <em>config/</em> folder of the model directory. Configuration files for running the model used by the publication.</li> <li><strong>data.zip</strong>: File contents of the <em>data/</em> folder of the model directory. Includes distance specifications, conversion efficiencies, details on shipping transport. Also contains (with this version) the cost data (same as in <em>costs.zip</em>).</li> <li><strong>resources.zip</strong>: Some file contents of the <em>resources/</em> folder of the model directory. Most files in this folder are automatically recreated if the <em>Snakemake</em> workflow is executed. The files in this archive are the files created by GlobalEnergyGIS (RES supply time-series and demand data for investigated regions) which is difficult to setup and are thus provided here as an optional dataset for download.</li> <li><strong>results.zip</strong>: Optimised energy system models (<a href="https://pypsa.readthedocs.io/en/latest/">PyPSA</a> networks, for PyPSA version v0.19.3) for all scenarios (default 10% WACC, optimistic 5% WACC, scenarios for sensitivity analysis), energy supply chains (ESCs) and exporting countries. For each network an additional results.csv exists containing a number of key results extracted from each network. Also contains the combined <em>results.csv</em> file as <em>results/results.csv</em> for all scenario runs.</li> </ul>
Data from: Nest orientation and proximity to snow patches are important for nest site selection of a cavity breeder at high elevation
<p><strong>Abstract</strong></p> <p>Reproductive timing and location are central to breeding success across taxa. Many species have evolved specific strategies to cope with environmental variability including shifts in timing of reproduction tracking resource availability or selecting favourable nest location. In mountain ecosystems, complex topography and pronounced seasonality result in particularly high spatiotemporal variability of environmental conditions, and the risk of climate-induced resource mismatches is particularly acute given that temperature is increasing more rapidly than in the lowlands.<br>We investigated how a high-elevation passerine, the white-winged snowfinch <em>Montifringilla nivalis</em>, selects its nest site in relation to nest cavity characteristics, habitat composition and snow condition. We used a combination of field habitat mapping and satellite remote sensing to compare occupied nest sites with randomly selected pseudo-absence sites. In the first half of the breeding season, snowfinches preferred nest cavities oriented towards the morning sun while they used cavities proportional to their availability later on. This preference might relate to the nest microclimate offering eco-physiological advantages, namely thermoregulatory benefits for incubating adult and nestlings under the harsh conditions typically encountered in the alpine environment. Nest sites were consistently located in areas with greater-than-average snow cover at hatching date, likely mirroring the foraging preferences for tipulid larvae developing in meltwater along snowfields. Due to the particularly rapid climate shifts typical of mountain ecosystems, spatiotemporal mismatches between foraging grounds and nest sites are expected in the future, which may negatively influence demographic trajectories of the species concerned. The installation of well-designed nest boxes in optimal habitat configurations could to some extent help mitigate this risk.</p> <p> </p>
Supplementary datasets for "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds"
<p>Supplementary datasets accompanying the manuscript "ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds" published in the Metabolic Engineering Journal (<a href="https://doi.org/10.1016/j.ymben.2022.03.013">https://doi.org/10.1016/j.ymben.2022.03.013). </a>In line with the standards of open science, the ARBRE toolbox is freely available to the scientific community on gitHub (<a href="https://github.com/EPFL-LCSB/ARBRE">https://github.com/EPFL-LCSB/ARBRE</a>) and we also provide the web-version at <a href="http://lcsb-databases.epfl.ch/arbre/">http://lcsb-databases.epfl.ch/arbre/</a></p> <p>ARBRE: Aromatic compounds RetroBiosynthesis Repository and Explorer is a new computational resource consisting of a comprehensive biochemical reaction network centered around aromatic amino acid biosynthesis and a computational toolbox for navigating this network. ARBRE encompasses over 33′000 known and 390′000 novel reactions predicted with generalized enzymatic reactions rules and over 74′000 compounds, of which 19′000 are known to biochemical databases and 55′000 only to PubChem. Over 1′000 molecules that were solely part of the PubChem database before and were previously impossible to integrate into a biochemical network are included in the ARBRE reaction network by assigning enzymatic reactions. ARBRE can be applied for pathway search, enzyme annotation, pathway ranking, visualization, and network expansion around known biochemical pathways and products of lignin degradation to predict valuable compound derivations.</p> <p>Supplementary files are organized as follows:</p> <p>- 1-s2.0-S1096717622000490-mmc4.docx contains Supplementary Figures 1-4 and Tables 1, 2, and 4.</p> <p>- 1-s2.0-S1096717622000490-mmc2.xlsx contains Supplementary Table 3.</p> <p>- 1-s2.0-S1096717622000490-mmc1.xlsx contains Supplementary Table 5</p> <p>- 1-s2.0-S1096717622000490-mmc3.xlsx contains Supplementary Table 6</p> <p> </p> <p> </p> <p> </p> <p> </p>
H4K20me3 is important for Ash1-mediated H3K36me3 and transcriptional silencing in facultative heterochromatin in a fungal pathogen
<p>Normalized ChIP-seq datasets for visualization in IGV. The tracks contain means of pooled replicate datasets.</p> <p>ChIP-seq data were quality-filtered and adapters removed with trimmomatic v.0.39 (Bolger et al., 2014). Mapping was performed with bowtie2 v.2.4.4 (Langmead and Salzberg, 2012), and sorting and indexing with samtools v.1.9 (Li, 2011). Normalized coverage bigwig files and heatmaps were created with deeptools v.3.5.1 (Ramírez et al., 2016). Wiggletools v.1.2 and the UCSC Genome Browser tools were used to calculate means for replicates and converting wig to bigwig files.</p> <p>Reference genome file is modified from Goodwin et al., 2011. Chromosome 18 was removed from the genome as our reference isolate is missing chromosome 18. </p> <p>Gene annotation file was obtained from FungiDB (release 53) and is based on the annotation published by Grandaubert et al., 2015.</p> <p>In this version, we have added new ChIP-seq bw tracks for ∆ash1::ash1-gfp-V5 and ∆kmt5::kmt5 complementation experiments. All tracks coming from this experiment are labeled *_compl_exp_mean.bw.</p> <p>We also added ChIP peak files (peaks called with HOMER: Heinz et al., 2010) for H4K20me3, H3K36me3 and H3K27me3 in WT, ∆kmt5 and ∆ash1, as well as H3K36me3 peak files for Set2- and Ash1-mediated H3K36me3.</p> <p>We have also added bed files (500 bp windows) containing facultative heterochromatin clusters 1 (Zt09_500bp_K27filtered_K36_K20_cluster1.bed) and 2 (Zt09_500bp_K27filtered_K36_K20_cluster2.bed). </p>
British Tallow Imports Database, 1800-1901
<p>British imports database used in Jim Clifford, “London’s Soap Industry and the Development of Global Ghost Acres in the Nineteenth Century,” <em>Environment and History, </em>2020, <a href="https://doi.org/10.3197/096734019X15463432086982">https://doi.org/10.3197/096734019X15463432086982</a>; <a href="https://hcommons.org/deposits/item/hc:24957/">https://hcommons.org/deposits/item/hc:24957/</a>.</p> <p>Most of the data in this spreadsheet is extracted from a relational database that I have been developing with a team of students starting in 2014 from the following sources “Ledgers of Imports Under Articles, 1800”, Boards of Customs, Excise, and Customs and Excise, and HM Revenue and Customs, CUST 5/1B, British National Archives; 1831-1844 are from “Tables of Trade of United Kingdom with Foreign Countries and British Possessions, 1831-40” and “Return of Quantities of Tallow, Palm Oil, Hemp, Flax, Hides, Skins and Sheep's Wool imported into United Kingdom, 1844-53”; and the 1853 to 1901 data are from a series of documents in the Nineteenth Century and Twentieth Century House of Commons Sessional Papers, with titles that begin with “Annual Statement of the Trade and Navigation of the United Kingdom” until 1870 and the “Annual Statement of Trade of United Kingdom” through to the twentieth century. They were all accessed through the ProQuest UK Parliamentary Papers.</p> <p>The larger database includes all imports every five years from 1856 to 1906. Email me for access to the whole database.</p> <p>Tallow imports from 1802-1828 were entered directly into Excel from the following sources: 1800-1821 is from United Kingdom, House of Commons, “Account of Quantity of Tallow imported into Great Britain, 1800-24,” Nineteenth Century House of Commons Sessional Papers, 1825, ProQuest UK Parliamentary Papers (1825-009633): 2-5; 1827-1828: is from United Kingdom, House of Commons, “Account of Quantity of Tallow, Flax, Hemp, Hides and Seeds imported, 1826-27,” Nineteenth Century House of Commons Sessional Papers, 1828, ProQuest UK Parliamentary Papers (1828-011166): 10.</p>
Figs 274‒288. 274–279 ‒ male sternite 8 in Comparative genitalic morphology in ten genera of thread-legged bugs of the tribe Metapterini, and its phylogenetic importance (Hemiptera: Heteroptera: Reduviidae)
Figs 274‒288. 274–279 ‒ male sternite 8 (S8): 274–276 ‒ ventral view, 277‒279 ‒ lateral view; 280‒288 ‒ pygophore: 280‒282 ‒ dorsal view, 283‒285 ‒ lateral view, 286‒288 ‒ ventral view. 274, 277, 280, 283, 286 ‒ Bergemesa brachmanni (Berg, 1884); 275, 278, 281, 284, 287 ‒ Gardena faustina McAtee & Malloch, 1925; 276, 279, 282, 285, 288 ‒ Tagalis seminigra Champion, 1899. Scale bar: 0.5 mm
Figs 79‒88 in Comparative genitalic morphology in ten genera of thread-legged bugs of the tribe Metapterini, and its phylogenetic importance (Hemiptera: Heteroptera: Reduviidae)
Figs 79‒88. Pygophore in lateral view. 79–81 – Ghinallelia Wygodzinsky, 1966; 82–83 – Liaghinella Wygodzinsky, 1966; 84 – Onychomesa Wygodzinsky, 1966; 85–86 – Pseudometapterus Wygodzinsky, 1966; 87–88 – Schidium Bergroth, 1916. Scale bar: 0.5 mm. Abbreviations: mpp – medial posterior process of pygophore; pa – paramere; vpp – ventral protruding of the pygophore.
Figs 122‒131 in Comparative genitalic morphology in ten genera of thread-legged bugs of the tribe Metapterini, and its phylogenetic importance (Hemiptera: Heteroptera: Reduviidae)
Figs 122‒131. Phallus in dorsal view. 122–124 – Ghinallelia Wygodzinsky, 1966; 125–126 – Liaghinella Wygodzinsky, 1966; 127 – Onychomesa Wygodzinsky, 1966; 128–129 – Pseudometapterus Wygodzinsky, 1966; 130–131 – Schidium Bergroth, 1916. Scale bar: 0.5 mm. Abbreviations: dps – dorsal phallothecal sclerite; duc – ductifer.
FIG. 7 in Mammuthus meridionalis (Nesti, 1825) from Apollonia- 1 (Mygdonia Basin, Northern Greece) and its importance within the Early Pleistocene mammoth evolution in Europe
FIG. 7. — Comparison of the occlusal angle (OA) of various mammoth taxa from various localities in Europe. Data from Van Essen (2011) and obtained from illustrations from Palombo & Ferretti (2005) and Lister et al. (2005).
FIG. 3 in Mammuthus meridionalis (Nesti, 1825) from Apollonia- 1 (Mygdonia Basin, Northern Greece) and its importance within the Early Pleistocene mammoth evolution in Europe
FIG. 3. — Dental remains of Mammuthus meridionalis vestinus (Azzaroli in Ambrosetti, Azzaroli, Bonadonna & Follieri, 1972) from Apollonia-1: A-C, left M3 fragment (APL-686B) in occlusal (A), buccal (B), and lingual (C) views; D-F, left m3 (APL-687) in occlusal (D), lingual (E), and buccal (F) views. Scale bar: 5 cm.
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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.