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715 results for “Varieties”
Data for "Competing for capitals: the great fragmentation of the firm and varieties of FDI attraction profiles in the European Union""
<p>Dataset for https://www.tandfonline.com/doi/full/10.1080/09692290.2020.1737564</p> <p> </p> <p>Code available at https://osf.io/q6x97/</p>
A dataset of 200000 terminal toric varieties of Picard rank 2
<p><strong>Toric varieties of Picard rank 2 with at worst terminal singularities</strong></p> <p>A dataset of 200000 randomly generated toric varieties of Picard rank 2 with at worst terminal Q-factorial singularities, in dimensions 2 to 10.</p> <p>The data consists of the plain text files "rank_2_dim_N.txt" where N, which is the dimension of the toric variety, is in the range 2 to 10. Each line of the file specifies the entries of a (2 x N+2)-matrix. For example, the first line of "rank_2_dim_4.txt" is:</p> <p>[[1,3,5,4,1,0],[0,1,2,5,3,1]]</p> <p>and this corresponds to the 4-dimensional toric variety with weight matrix</p> <p>1 3 5 4 1 0<br> 0 1 2 5 3 1</p> <p>and stability condition given by the sum of the columns, which in this case is</p> <p>14<br> 12</p> <p>For details, see the paper:</p> <p>"Machine learning the dimension of a Fano variety", Tom Coates, Alexander M. Kasprzyk, and Sara Veneziale, <em>Nature Communications</em>, <strong>14:</strong>5526 (2023). doi:10.1038/s41467-023-41157-1</p> <p>Magma code capable of generating this dataset is in the file "generate_rank_2.m".</p> <p>If you make use of this data, please cite the above paper and the DOI for this data:</p> <p>doi:10.5281/zenodo.5790096</p>
CLDF dataset derived from Liu et al.'s "Comparative Wordlist of Newari Varieties" from 2023
<p>Cite the source of the dataset as:</p> <blockquote> <p>Liu, Zhenyang; Jacques, Guillaume; List, Johann-Mattis (2023): Creating a Standardized Comparative Wordlist of Newari Varieties. (26/07/2023), URL: https://calc.hypotheses.org/6269.</p> </blockquote>
CLDF dataset derived from Yang's "Lalo Regional Varieties" from 2011
<p>Cite the source of the dataset as:</p> <blockquote> <p>Yang, Cathryn (2011): Lalo regional varieties: Phylogeny, dialectometry and sociolinguistics. Bundoora: La Trobe University.</p> </blockquote>
CLDF dataset derived from Bremer's "Sociolinguistic Survey of Six Berta Speech Varieties in Ethiopia" from 2016
<p>Cite the source of the dataset as:</p> <blockquote> <p>Bremer, Nate D. (2016): A Sociolinguistic Survey of Six Berta Speech Varieties in Ethiopia. SIL Electronic Survey Reports 2016-007. Dallas: SIL International.</p> </blockquote>
Primary vine varieties of European wine PDOs
<p>Primary varieties are the traditional vine cultivars of a region that are primarily used for making the wine products of a PDO region. In most cases, they are clearly defined in the legal document that regulate each PDO. We extracted primary varieties by analyzing the product specification files of European wine PDOs.</p>
Dataset for "On the variability of the leaf relative uptake rate of carbonyl sulfide compared to carbon dioxide: insights from a paired field study with two soybean varieties"
<p>Data of measurements and model output of the publication "On the variability of the leaf relative uptake rate of carbonyl sulfide compared to carbon dioxide: insights from a paired field study with two soybean varieties". NO DOI YET</p> <p>The data consists of micrometeorological data, COS,CO<sub>2</sub> and H2O flux measurements and resistances of two soybean cultivars at an agricultural field in Italy.</p> <p>For additional information, please contact: <a href="mailto:felix.spielmann@uibk.ac.at">Felix.Spielmann@uibk.ac.at</a> or <a href="mailto:Georg.Wohlfahrt@uibk.ac.at">Georg.Wohlfahrt@uibk.ac.at</a>.</p>
Three systems of molecular markers reveal genetic differences between varieties sabina and balkanensis in the Juniperus sabina L. range
<p>Genotypes of 94 Juniperus sabina samples from 14 populations at SNP (Jsabina_SNPs.txt) and SilicoDArT (Jsabina_SilicoDArTs.txt) loci investigated using the DArTseq technology developed by Diversity Array Technology Pty Ltd (DArT, Canberra, ACT, Australia)</p>
Characterization of the anti-spike IgG immune response to COVID-19 vaccines in people with a wide variety of immunodeficiencies
<p>Participants submitted saliva using the OME-505 collection device (OMNIgene Oral, Ottawa, Canada) every two weeks from vaccination through six months post-dose 3 to detect breakthrough SARS-CoV-2 infections. Viral RNA was extracted using the NucliSENS easyMag automated extraction system from 200ul of saliva in stabilizing solution and eluted in a total volume of 50ul. First strand cDNA synthesis was performed from 5ul of eluted RNA using SuperScript IV VILO Master Mix (Thermo Fisher). Positive specimens were then sequenced. Multiplex tiled amplicon libraries were prepared using the Midnight panel and Rapid barcoding kit RBK-004 (Oxford Nanopore technologies) using previously published protocol. Twelve sample pooled libraries were sequenced on a GridION X5 nanopore sequencer using Flongle adapters. After sequencing, raw data were processed using interARTIC to generate consensus sequences and variant calls. SARS-CoV-2<strong> </strong>lineages were determined using these consensus sequences and the NextClade and Pangolin platforms.</p>
Downscaled climate grids at 30m for a variety of bioclimatic variables over the San Joaquin Experimental Range, CA: 2001-2099
Statistically-downscaled grids of bioclimatic variables were produced to study how fine-scale spatio-temporal variation in climate might influence the exposure of tree species to projected climate change in southern California.
Downscaled climate grids at 30m for a variety of bioclimatic variables over the Teakettle Experimental Forest, 2001-2099
Statistically-downscaled grids of bioclimatic variables were produced to study how fine-scale spatio-temporal variation in climate might influence the exposure of tree species to projected climate change in southern California.
Downscaled climate grids at 30m for a variety of bioclimatic variables over the Tejon Ranch, CA: 2001-2099
Statistically-downscaled grids of bioclimatic variables were produced to study how fine-scale spatio-temporal variation in climate might influence the exposure of tree species to projected climate change in southern California.
Grass Yield Compilation from University of Wisconsin Extension Grass Variety Trials (1983-2016)
Beginning in 1983, the UW Madison Extension has been conducting yield trials of grass varieties annually to be published in UW Extension Publication A1525. These trials are conducted at several research stations in the state of Wisconsin: Arlington, Lancaster, Marshfield and Spooner Agricultural Stations. Yield is collected for each grass variety at each cutting. The work was started by Dr. Michael Casler and was continued by Dr. Daniel Undersander. In this data set, the individual grass varieties have been aggregated to species level. Yield is recorded as the average annual total for each species at each location planted in a given year, in tons/acre. Grass species included are: bluegrass (Poa pratensis L.), festulolium (Festulolium braunii K.A.), Italian ryegrass (Lolium multiflorum Lam.), meadow bromegrass (Bromus riparius Rehmann), meadow fescue [Schedonorus pratensis (Huds.) P. Beauv], orchardgrass (Dactylis glomerata L.), perennial ryegrass (Lolium perenne L.), quackgrass (Elymus repens L.), reed canarygrass (Phalaris arundinacea L.), smooth bromegrass (Bromus inermis Leyss.), tall fescue [Lolium arundinaceum (Schreb.) Darbysh], and timothy (Phleum pratense L.).
Final seedling counts for invasive plants seeded at CPCRW on a variety of substrate types.
This dataset contains final seedling counts for invasive plants seeded at the CPCRW research (seeding and measurements taken summer 2012) site on a variety of substrate types.
Matrix multiplication software and results bundle for paper "Tuning and optimization for a variety of many-core architectures without changing a single line of implementation code using the Alpaka library" for P^3MA submission
<p>This is the archive containing the matrix multiplication software and the results of the publication "<em>Tuning and optimization for a variety of many-core architectures without changing a single line of implementation code using the Alpaka library</em>" submitted to the P^3MA workshop 2017.</p> <p><strong>The archive has the following content:</strong></p> <ul> <li>Source code for the (tiled) matrix multiplication in "src": <ul> <li>regular version in "src/matmul": <ul> <li>Remote: https://github.com/theZiz/matmul.git (copy will be removed)</li> <li>Branch: topic-compatible-alpaka-0-1-0</li> <li>Commit: a63ba4810d6bfcca62c68dd57408af15028e78a3</li> </ul> </li> <li>forked version for XL in "src/matmul": <ul> <li>Remote: https://github.com/theZiz/matmul.git (copy will be removed)</li> <li>Branch: topic-xl-workaround</li> <li>Commit: 1fee028eccb8cf7b677e8071233e08aa9f81846a</li> </ul> </li> </ul> </li> <li>The compiled binaries and the results of the tuning and scaling runs are in "runs" in sub folders for each type of run and architectures.</li> </ul>
A dataset of 8-dimensional Q-factorial Fano toric varieties of Picard rank 2
<p>This is a dataset of randomly generated 8-dimensional Q-factorial Fano toric varieties of Picard rank 2.</p><p>The data is divided into four plain text files:</p><ul><li>bound_7_terminal.txt</li><li>bound_7_non_terminal.txt</li><li>bound_10_terminal.txt</li><li>bound_10_non_terminal.txt</li></ul><p>The numbers 7 and 10 in the file names indicate the bound on the weights used when generating the data. Those varieties with at worst terminal singularities are in the files "bound_N_terminal.txt", and those with non-terminal singularities are in the files "bound_N_non_terminal.txt". The data within each file is de-duplicated, however the data in different files may contain duplicates (for example, it is possible that "bound_7_terminal.txt" and "bound_10_terminal.txt" contain some identical entries).</p><p> </p><p>Each line of a file specifies the entries of a (2 x 10)-matrix. For example, the first line of "bound_7_terminal.txt" is:</p><blockquote><p>[[5,6,7,7,5,2,5,3,2,2],[0,0,0,1,1,2,6,4,3,3]]</p></blockquote><p>and this corresponds to the 8-dimensional Q-factorial Fano toric variety with weight matrix</p><blockquote><p>5 6 7 7 5 2 5 3 2 2</p><p>0 0 0 1 1 2 6 4 3 3</p></blockquote><p>and stability condition given by the sum of the columns, which in this case is</p><blockquote><p>44</p><p>20</p></blockquote><p>It can be checked that, in this case, the corresponding variety has at worst terminal singularities. In this example the largest occurring weight in the matrix is 7.</p><p> </p><p>The number of entries in each file is:</p><ul><li>bound_7_terminal.txt: 5000000</li><li>bound_7_non_terminal.txt: 5000000</li><li>bound_10_terminal.txt: 10000000</li><li>bound_10_non_terminal.txt: 10000000</li></ul><p> </p><p>For details, see the paper:</p><blockquote><p>"Machine learning detects terminal singularities", Tom Coates, Alexander M. Kasprzyk, and Sara Veneziale. Neural Information Processing Systems (NeurIPS), 2023.</p></blockquote><p> </p><p>Magma code capable of generating this dataset is in the file "terminal_dim_8.m". The bound on the weights is set on line 142 by adjusting the value of 'k' (currently set to 10). The target dimension is set on line 143 by adjusting the value of 'dim' (currently set to 8). It is important to note that this code does not attempt to remove duplicates. The code also does not guarantee that the resulting variety has dimension 8. Deduplication and verification of the dimension need to be done separately, after the data has been generated.</p><p> </p><p>If you make use of this data, please cite the above paper and the DOI for this data:</p><p>doi:10.5281/zenodo.10046893</p>
Figure 3 in Seasonal incidence of Raoiella indica Hirst (Acari: Tenuipalpidae) on different varieties of date palm in Kachchh region of Western India
Figure 3. Pattern of distribution of red palm mite, Raoiella indica in different directions on three different varieties (pooled).
Table S1. Geographical localization of Pinus pseudostrobus Lindley. specimens used in the study and concordance of morphological identification with real-time PCR-HRM assay for Pinus pseudostrobus varieties pseudostrobus, apulcensis, oaxacana and coatepecensis, based on the cluster pattern.
<p>File encloses geographical location of collected Pinus pseudostrobus samples in México, as well as haplotype grouping obtaines from HRM analysis</p>
FIG. 1 in A new variety of Merendera Ramond (Liliaceae): M. montana var. paucitepala var. nov., from south-eastern Spain
FIG. 1. — Images of Merendera montana var. paucitepala var. nov.: A, front view of the flower; B, lateral view of the flower; C, front view of the leaves.
FIG. 2 in A new variety of Merendera Ramond (Liliaceae): M. montana var. paucitepala var. nov., from south-eastern Spain
FIG. 2. — Location of the type locality within Jaén province. The latter is also shown within Iberian Peninsula at the bottom part on the right.
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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.