46 datasets found
  1. d

    Simple sequence repeats (SSRs) of Tetracapsuloides bryosalmonae parasites in...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Jul 6, 2024
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    U.S. Geological Survey (2024). Simple sequence repeats (SSRs) of Tetracapsuloides bryosalmonae parasites in kidney tissue collected from various water bodies in Montana, USA from 2016 to 2019 [Dataset]. https://catalog.data.gov/dataset/simple-sequence-repeats-ssrs-of-tetracapsuloides-bryosalmonae-parasites-in-kidney-tissue-c
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    United States, Montana
    Description

    This dataset contains simple sequence repeat genotypes from Tetracapsuloides bryosalmonae infecting the tissue of fish collected from various locations throughout western and central Montana, USA.

  2. SSRs data from 12 populations in China and North America

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    bin, csv
    Updated Jan 5, 2024
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    Zhang Tao; Zhang Tao (2024). SSRs data from 12 populations in China and North America [Dataset]. http://doi.org/10.5061/dryad.05qfttf9c
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    csv, binAvailable download formats
    Dataset updated
    Jan 5, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Zhang Tao; Zhang Tao
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    North America, China
    Measurement technique
    <p>SSR's primer selection SSR site primers RUMM017, RUMM018, RUMM020, RUMM021, RUMM032, RUMM034, and RUMM047 were created by Wang et al.[45], and all forward primers had a cac sequence tag (5'- cacgacgttgtaaaacgac -3') and 6-carboxyfluorescein (FAM) added to the 5' end. The PCR products were then delivered to Tsingke Biotechnology Co., Ltd., and electrophoresis was performed using a 3730xl DNA analyzer. Based on the known traits (size range, repeating motifs) of a single microsatellite region, the microsatellites included in the assemblage are chosen. Reaction system: 25 ml of 2X Accurate Taq Master Mix, 15 ml of template DNA and RNase-free water, 1 ml of forward primer, and 1 ml of reverse primer. Reaction conditions: predenaturation at 95 °C for 15 min; denaturation at 94 °C for 30 s; annealing for 1 min 30 s; extension at 72 °C for 1 min 30 s (a total of 35 cycles); and extension at 72 °C for 10 min.</p>
    Description

    The project is the SSRs data of 12 populations in China and North America. The Chinese populations include Panjin (PJ), Tianjin (TJ), Tangshan (TS), Lianyungang (LYG), Yancheng (YC), Zhoushan (ZS), Putian (PT), Zhangzhou (ZZ), and Zhanjiang (ZJ) and the North American populations include Commonwealth of Virginia (VI), Lange Eylandt (LE), and Rhode Island (RL). The markers involved in this data are 7, including RUMM017, RUMM018, RUMM020, RUMM021, RUMM032, RUMM034, and RUMM047.

  3. Data from: Ex situ conservation of underutilised fruit tree species:...

    • zenodo.org
    • data.niaid.nih.gov
    • +2more
    Updated May 29, 2022
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    Francisco Carlos Balas; María Dolores Osuna; Guadalupe Domínguez; Fernando Pérez-Gragera; Margarita López-Corrales; Francisco Carlos Balas; María Dolores Osuna; Guadalupe Domínguez; Fernando Pérez-Gragera; Margarita López-Corrales (2022). Data from: Ex situ conservation of underutilised fruit tree species: establishment of a core collection for Ficus carica L. using microsatellite markers (SSRs) [Dataset]. http://doi.org/10.5061/dryad.2r107
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    Dataset updated
    May 29, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Francisco Carlos Balas; María Dolores Osuna; Guadalupe Domínguez; Fernando Pérez-Gragera; Margarita López-Corrales; Francisco Carlos Balas; María Dolores Osuna; Guadalupe Domínguez; Fernando Pérez-Gragera; Margarita López-Corrales
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Ex situ germ plasm collections of woody crops are necessary to ensure the optimal use of plant genetic resources. The fig tree (Ficus carica L.) germ plasm bank, consisting of 229 accessions, is located in Centro de Investigación 'La Orden'. Despite great progress in conservation, ex situ collections face size and organization problems. Core collections obtained from structured samples of bigger collections are a useful tool to improve germ plasm management. In this work, we used simple sequence repeat (SSR) markers to establish a core collection in this underutilised Mediterranean fruit tree species. Four approaches have been carried out (random sampling, maximization, simulated annealing and stepwise clustering) to determine the best method to develop a core collection in this woody plant. The genetic diversity obtained with each subset was compared with that of the complete collection. It was found that the most efficient way to achieve the maximum diversity was the maximization strategy, which, with 30 accessions, recovers all the SSR alleles and does not show significant differences in allele frequency distribution in any of the loci or in the variability parameters (H O, H E) between the whole and core collections. Thus, this core collection, a representative of most fig diversity conserved in the germ plasm bank, could be used as a basis for plant material exchange among researchers and breeders.

  4. Data from: Criteria for prioritizing selection of Mexican maize landrace...

    • zenodo.org
    • data.niaid.nih.gov
    pdf, zip
    Updated Jul 12, 2024
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    Octavio Martínez; Octavio Martínez; Adriana Ceniceros-Ojeda; Corina Hayano-Kanashiro; Corina Hayano-Kanashiro; Humberto Reyes-Valdés; Humberto Reyes-Valdés; José Luis Pons-Hernández; José Luis Pons-Hernández; June Simpson; June Simpson; Adriana Ceniceros-Ojeda (2024). Criteria for prioritizing selection of Mexican maize landrace accessions for conservation in situ or ex situ based on phylogenetic analysis [Dataset]. http://doi.org/10.5281/zenodo.7798787
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    zip, pdfAvailable download formats
    Dataset updated
    Jul 12, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Octavio Martínez; Octavio Martínez; Adriana Ceniceros-Ojeda; Corina Hayano-Kanashiro; Corina Hayano-Kanashiro; Humberto Reyes-Valdés; Humberto Reyes-Valdés; José Luis Pons-Hernández; José Luis Pons-Hernández; June Simpson; June Simpson; Adriana Ceniceros-Ojeda
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data for processed SSR markers in maize accessions. A database in Structured Query Language (SQL) is provided. Please see the text file "READMEmaizeSSR.pdf".

  5. National Public Radio/Robert Wood Johnson Foundation/Harvard School of...

    • icpsr.umich.edu
    Updated Mar 10, 2022
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    Social Science Research Solutions (SSRS) (2022). National Public Radio/Robert Wood Johnson Foundation/Harvard School of Public Health Poll: Health Education Survey, United States, 2013 [Dataset]. http://doi.org/10.3886/ICPSR38381.v1
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    Dataset updated
    Mar 10, 2022
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Social Science Research Solutions (SSRS)
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38381/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38381/terms

    Time period covered
    2013
    Area covered
    United States
    Description

    This catalog record includes detailed variable-level descriptions, enabling data discovery and comparison. The data are not archived at ICPSR. Users should consult the data owners (via the Roper Center for Public Opinion Research) directly for details on obtaining the data. This collection includes variable-level metadata of the 2013 poll Health Education Survey, a survey from National Public Radio/Robert Wood Johnson Foundation/Harvard School of Public Health conducted by Social Science Research Solutions (SSRS). Topics covered in this survey include: Grade child enrolled inLocation of child's schoolEnrollment totalGiving grade to child's schoolBiggest problem at schoolEmphasis on various subjectsSchool teaching same values as home valuesSchool obligations interfering with family timeKnowledge about common coreCommon core improving educationMethod of learning about common coreSuccess of common coreSchool preparing students for careersAttending technicalVocational classesPreparing students for collegePreparing students for job marketStudent plans after high schoolCollege or career planning servicesHealthiness of school lunchesFoods available at schoolLength of school lunchTime of lunch periodVending machines at schoolFast-food chains at schoolPhysical education as mandatoryFrequency of PE classesLength of PE classesPE classes for other purposesRating PE school offeringsPlaygrounds available after schoolRecess as structured or free timeSchool safetySecurity precautions at schoolWays of preventing violence at schoolIncreasing security after Newtown shootingMethod of transport to schoolTime to get home from schoolSafety of travelling to schoolSchool related stressSchool counseling for stressed studentsTime of school dayThe data and documentation files for this survey are available through the Roper Center for Public Opinion Research [Roper #31092359]. Frequencies and summary statistics for the 148 variables from this survey are available through the ICPSR social science variable database and can be accessed from the Variables tab.

  6. d

    Cross-species transferability of SSR loci developed from transcriptome...

    • dataone.org
    • data.niaid.nih.gov
    • +3more
    Updated Sep 12, 2023
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    Mark R. Lesser; Thomas L. Parchman; C. Alex Buerkle (2023). Cross-species transferability of SSR loci developed from transcriptome sequencing in lodgepole pine [Dataset]. http://doi.org/10.5061/dryad.8dk6t78s
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    Dataset updated
    Sep 12, 2023
    Dataset provided by
    Dryad Digital Repository
    Authors
    Mark R. Lesser; Thomas L. Parchman; C. Alex Buerkle
    Time period covered
    Jun 20, 2020
    Description

    With the advent of next generation sequencing technologies, transcriptome level sequence collections are arising as prominent resources for the discovery of gene-based molecular markers. In a previous study more than 15 000 simple sequence repeats (SSRs) in expressed sequence tag (EST) sequences resulting from 454 pyrosequencing of Pinus contorta cDNA were identified. From these we developed PCR primers for approximately 4000 candidate SSRs. Here, we tested 184 of these SSRs for successful amplification across P. contorta and eight other pine species and examined patterns of polymorphism and allelic variability for a subset of these SSRs. Cross-species transferability was high, with high percentages of loci producing PCR products in all species tested. In addition, 50% of the loci we screened across panels of individuals from three of these species were polymorphic and allelically diverse. We examined levels of diversity in a subset of these SSRs by collecting genotypic data across seve...

  7. Identification of genic SSRs and SNPs from de novo transcriptome assembly of...

    • data.csiro.au
    • researchdata.edu.au
    Updated Dec 8, 2014
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    Uday Divi (2014). Identification of genic SSRs and SNPs from de novo transcriptome assembly of Chinese tallow (Triadica sebifera) [Dataset]. http://doi.org/10.4225/08/54851EEE5F452
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    Dataset updated
    Dec 8, 2014
    Dataset provided by
    CSIROhttp://www.csiro.au/
    Authors
    Uday Divi
    License

    https://research.csiro.au/dap/licences/csiro-data-licence/https://research.csiro.au/dap/licences/csiro-data-licence/

    Dataset funded by
    CSIROhttp://www.csiro.au/
    Description

    Transcriptome assembly of reads generated individually from the fruit coat, tallow and seed tissues of Chinese tallow fruits harvested at stage 4 (before maturity). The un-assembled reads from individual tissues were deposited at NCBI-Short Read Archive under accession numbers SRR1653572, SRR1653574 and SRR1653576. The assembled transcripts were examined for simple sequence repeat and single nucleotide polymorphisms. Identified polymorphisms are deposited here to provide a resource for genetic development of Chinese tallow.

  8. Data from: Imperfect SSR Finder

    • catalog.data.gov
    Updated Mar 30, 2024
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    Agricultural Research Service (2024). Imperfect SSR Finder [Dataset]. https://catalog.data.gov/dataset/imperfect-ssr-finder-c8993
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    Dataset updated
    Mar 30, 2024
    Dataset provided by
    Agricultural Research Servicehttps://www.ars.usda.gov/
    Description

    The Imperfect SSR Finder is an online tool to help geneticists find Simple Sequence Repeats (SSR), aka microsatellites or Short Tandem Repeats (STR), in uploaded FASTA sequences. The Imperfect SSR Finder is an interactive website to help you find imperfect (and perfect) SSRs. You can test small snippets or upload large files, change the lengths and types of the SSRs your are looking for, and create output with SSRs in inverted case and/or color highlights. A tabular information file is also created in .CSV format, for easy import into any spreadsheet program. Resources in this dataset:Resource Title: Imperfect SSR Finder. File Name: Web Page, url: https://ssr.nwisrl.ars.usda.gov/

  9. Z

    Data from: Transcriptome-wide mining, characterization, and development of...

    • data.niaid.nih.gov
    • datadryad.org
    Updated May 31, 2022
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    Shin, Myungju (2022). Data from: Transcriptome-wide mining, characterization, and development of microsatellite markers in Lychnis kiusiana (Caryophyllaceae) [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4987637
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    Dataset updated
    May 31, 2022
    Dataset provided by
    Fujii, Noriyuki
    Shin, Myungju
    Park, SeonJoo
    Hoshino, Takuji
    Son, Sungwon
    Park, Seongjun
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Background: Lychnis kiusiana Makino is an endangered perennial herb native to wetland areas in Korea and Japan. Despite its conservational and evolutionary significance, population genetic resources are lacking for this species. Next-generation sequencing has been accepted as a rapid and cost-effective solution for the identification of microsatellite markers in nonmodel plants. Results: Using Illumina HiSeq 2000 sequencing technology, we assembled 67,498,600 reads into 91,900 contigs and identified 11,403 microsatellite repeat motifs in 9,563 contigs. A total of 4,510 microsatellite-containing transcripts had Gene Ontology (GO) annotations, and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis identified 124 pathways with significant scores. Many microsatellites in the L. kiusiana leaf transcriptome were linked to genes involved in the plant response to light intensity, salt stress, temperature stimulus, and nutrient and water deprivation. A total of 12,486 single-nucleotide polymorphisms (SNPs) were identified on transcripts harboring microsatellites. The analysis of nucleotide substitution rates for 2,389 unigenes indicated that 39 genes were under strong positive selection. The primers of 6,911 microsatellites were designed, and 40 of 50 selected primer pairs were consistently and successfully amplified from 51 individuals. Twenty-five of these were polymorphic, and the average number of alleles per SSR locus was 6.96, with a range from 2 to 15. The observed and expected heterozygosities ranged from 0.137 to 0.902 and 0.131 to 0.827, respectively, and locus-specific FIS estimates ranged from -0.116 to 0.290. Eleven of the 25 primer pairs were successfully amplified in three additional species of Lychnis: 56% in L. wilfordii, 64% in L. cognata and 80% in L. fulgens. Conclusions: The transcriptomic SSR markers of Lychnis kiusiana provide a valuable resource for understanding the population genetics, evolutionary history, and effective conservation management of this species. Furthermore, the identified microsatellite loci linked to the annotated genes should be useful for developing functional markers of L. kiusiana. The developed markers represent a potentially valuable source of transcriptomic SSR markers for population genetic analyses with moderate levels of cross-taxon portability.

  10. Data from: Molecular resources from transcriptomes in the Brassicaceae...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    bin, zip
    Updated May 28, 2022
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    Lua Lopez; Eva M. Wolf; J. Chris Pires; Patrick P. Edger; Marcus A. Koch; Lua Lopez; Eva M. Wolf; J. Chris Pires; Patrick P. Edger; Marcus A. Koch (2022). Data from: Molecular resources from transcriptomes in the Brassicaceae family [Dataset]. http://doi.org/10.5061/dryad.35k67
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    zip, binAvailable download formats
    Dataset updated
    May 28, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Lua Lopez; Eva M. Wolf; J. Chris Pires; Patrick P. Edger; Marcus A. Koch; Lua Lopez; Eva M. Wolf; J. Chris Pires; Patrick P. Edger; Marcus A. Koch
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The rapidly falling costs and the increasing availability of large DNA sequence data sets facilitate the fast and affordable mining of large molecular markers data sets for comprehensive evolutionary studies. The Brassicaceae (mustards) are an important species-rich family in the plant kingdom with taxa distributed worldwide and a complex evolutionary history. We performed Simple Sequence Repeats (SSRs) mining using de novo assembled transcriptomes from 19 species across the Brassicaceae in order to study SSR evolution and provide comprehensive sets of molecular markers for genetic studies within the family. Moreover, we selected the genus Cochlearia to test the transferability and polymorphism of these markers among species. Additionally, we annotated Cochlearia pyrenaica transcriptome in order to identify the position of each of the mined SSRs. While we introduce a new set of tools that will further enable evolutionary studies across the Brassicaceae, we also discuss some broader aspects of SSR evolution. Overall, we developed 2012 ready-to-use SSR markers with their respective primers in 19 Brassicaceae species and a high quality annotated transcriptome for C. pyrenaica. As indicated by our transferability test with the genus Cochlearia these SSRs are transferable to species within the genus increasing exponentially the number of targeted species. Also, our polymorphism results showed substantial levels of variability for these markers. Finally, despite its complex evolutionary history, SSR evolution across the Brassicaceae family is highly conserved and we found no deviation from patterns reported in other Angiosperms.

  11. e

    Microsatellite data for Lobaria pulmonaria, Kuhmo, Finland

    • data.europa.eu
    • snd.se
    unknown
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    Sveriges lantbruksuniversitet, Microsatellite data for Lobaria pulmonaria, Kuhmo, Finland [Dataset]. https://data.europa.eu/data/datasets/https-doi-org-10-5879-vzyc-1a28?locale=en
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    unknownAvailable download formats
    Dataset authored and provided by
    Sveriges lantbruksuniversitet
    Area covered
    Finland
    Description

    Microsatellite data from Lobaria pulmonaria (fragment lengths for each of the alleles).

    For full details, see publication: Ronnås, C., Werth, S., Ovaskainen, O., Várkonyi, G., Scheidegger, C., & Snäll, T. (2017). Discovery of long-distance gamete dispersal in a lichen-forming ascomycete. New Phytologist, 216(1), 216-226. https://doi.org/10.1111/nph.14714

  12. d

    Data from: Level of genetic differentiation affects relative performances of...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Dec 9, 2016
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    Aurélie Khimoun; Anthony Ollivier; Bruno Faivre; Stéphane Garnier (2016). Level of genetic differentiation affects relative performances of EST- and genomic SSRs [Dataset]. http://doi.org/10.5061/dryad.0p3j8
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    zipAvailable download formats
    Dataset updated
    Dec 9, 2016
    Dataset provided by
    Dryad
    Authors
    Aurélie Khimoun; Anthony Ollivier; Bruno Faivre; Stéphane Garnier
    Time period covered
    2016
    Area covered
    Guadeloupe, Dominica, Lesser Antilles
    Description

    Microsatellite dataEST- and genomic SSR datasetsKhimoun et al_MolEcolResources_Microsatellite dataset.xlsx

  13. f

    56 A. dahurica ecotypes collected from different regions.

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 4, 2023
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    Chen Chen; Youjun Chen; Wenjuan Huang; Yijie Jiang; Huihui Zhang; Wei Wu (2023). 56 A. dahurica ecotypes collected from different regions. [Dataset]. http://doi.org/10.1371/journal.pone.0221040.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Chen Chen; Youjun Chen; Wenjuan Huang; Yijie Jiang; Huihui Zhang; Wei Wu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    56 A. dahurica ecotypes collected from different regions.

  14. c

    Global PCB Mount Solid State Relay Market Report 2025 Edition, Market Size,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jan 15, 2025
    + more versions
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    Cognitive Market Research (2025). Global PCB Mount Solid State Relay Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/pcb-mount-solid-state-relay-market-report
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    Global PCB Mount Solid State Relay market size 2025 was XX Million. PCB Mount Solid State Relay Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.

  15. T

    SQL Server Transformation Market By Enterprise Size, By Function, By Use...

    • futuremarketinsights.com
    pdf
    Updated Jul 25, 2022
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    Future Market Insights (2022). SQL Server Transformation Market By Enterprise Size, By Function, By Use Case, By Vertical & Region | Forecast 2022 to 2029 [Dataset]. https://www.futuremarketinsights.com/reports/sql-server-transformation-market
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    pdfAvailable download formats
    Dataset updated
    Jul 25, 2022
    Dataset authored and provided by
    Future Market Insights
    License

    https://www.futuremarketinsights.com/privacy-policyhttps://www.futuremarketinsights.com/privacy-policy

    Time period covered
    2022 - 2029
    Area covered
    Worldwide
    Description

    The worldwide SQL server transformation market is anticipated to surge at an impressive CAGR of 10.1% from 2022 to 2029. At present, industry revenue stands at US$ 15.5 Billion, which is expected to rise to US$ 30.4 billion by the end of 2029.

    Report AttributesDetails
    SQL Server Transformation Market Size (2022)US$ 15.5 Billion
    Estimated Net Worth (2029)US$ 30.4 Billion
    Predicted Growth Rate (2022 to 2029)10.1% CAGR
    Largest Function SegmentData Integration Scripts - 35.9%

    How The Market Progressed Till June 2022?

    Market StatisticsDetails
    H1,2021 (A)8.3%
    H1,2022 Projected (P)8.9%
    H1,2022 Outlook (O)8.5%
    BPS Change : H1,2022 (O) - H1,2022 (P)(-) 40 ↓
    BPS Change : H1,2022 (O) - H1,2021 (A)(+) 20 ↑

    SQL Server Transformation Industry Report Scope

    AttributeDetails
    Forecast Period2022 to 2029
    Historical Data Available for2014 to 2021
    Market AnalysisUS$ Million for Value
    Key Regions Covered
    • North America
    • Latin America
    • Europe
    • East Asia
    • South Asia & Pacific
    • Middle East & Africa (MEA)
    Key Countries Covered
    • USA
    • Canada
    • Brazil
    • Mexico
    • Germany
    • United Kingdom
    • France
    • Spain
    • Italy
    • China
    • Japan
    • South Korea
    • India
    • Indonesia
    • Malaysia
    • Singapore
    • Australia
    • New Zealand
    • Turkey
    • South Africa
    • and GCC Countries
    Key Market Segments Covered
    • Enterprise Size
    • Function
    • Use Case
    • Vertical
    • Region
    Key Companies Profiled
    • Oracle
    • Microsoft
    • SAP SE
    • IBM
    • Alphabet
    • Amazon Web Services Inc.
    • Teradata
    • NuoDB Inc.
    • MemSQL Inc.
    • Actian Corporation
    PricingAvailable upon Request
  16. Data from: Rice Data

    • catalog.data.gov
    • datasets.ai
    • +2more
    Updated Mar 30, 2024
    + more versions
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    Agricultural Research Service (2024). Rice Data [Dataset]. https://catalog.data.gov/dataset/rice-data-2ff89
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    Dataset updated
    Mar 30, 2024
    Dataset provided by
    Agricultural Research Servicehttps://www.ars.usda.gov/
    Description

    Simple Nucleotide Polymorphism (SNP) Data (12 chromosomes) MY2 SSRs MY2 Traits. Genomics and Bioinformatics Research Unit, Stoneville, MS. Resources in this dataset:Resource Title: Rice_SNP_data_chromosomes_1-6. File Name: Rice_SNP_data_chromosomes_1-6_0.zipResource Description: Rice_SNP_data_chromosomes_1-6 Resource Title: Rice_SNP_data_chromosomes_7-12. File Name: Rice_SNP_data_chromosomes_7-12.zipResource Description: Rice_SNP_data_chromosomes_7-12 Resource Title: MY2. File Name: MY2.zipResource Description: MY2

  17. ReportServer

    • catalog.data.gov
    • data.wu.ac.at
    Updated Nov 10, 2020
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    NRCS (2020). ReportServer [Dataset]. https://catalog.data.gov/dataset/reportserver
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    Dataset updated
    Nov 10, 2020
    Dataset provided by
    Natural Resources Conservation Servicehttp://www.nrcs.usda.gov/
    Description

    Legacy SQL 2005 SSRS database

  18. Data from: Genetic relationships, structure and parentage simulation among...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    txt
    Updated May 30, 2022
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    Francesco P. Marra; Tiziano Caruso; Francesca Costa; Claudio Di Vaio; Rocco Mafrica; Annalisa Marchese; Francesco P. Marra; Tiziano Caruso; Francesca Costa; Claudio Di Vaio; Rocco Mafrica; Annalisa Marchese (2022). Data from: Genetic relationships, structure and parentage simulation among the olive tree (Olea europaea L. subsp. europaea) cultivated in Southern Italy revealed by SSR markers [Dataset]. http://doi.org/10.5061/dryad.3dv00
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    txtAvailable download formats
    Dataset updated
    May 30, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Francesco P. Marra; Tiziano Caruso; Francesca Costa; Claudio Di Vaio; Rocco Mafrica; Annalisa Marchese; Francesco P. Marra; Tiziano Caruso; Francesca Costa; Claudio Di Vaio; Rocco Mafrica; Annalisa Marchese
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    In this work, we assess both the morphological and genetic diversity of 68 important olive cultivars from three Southern Italian regions: Calabria, Campania and Sicily. Twenty-five phenotypic traits were evaluated and 12 simple sequence repeat (SSR) markers were analysed. All SSR primers were polymorphic and reliable. The total number of alleles per locus varied from 5 to 19 with an average number of 13.1 and a mean polymorphic information content (PIC) of 0.81. These results suggested high genetic diversity within these three olive germplasm collections. Morphological traits also showed significant variability amongst cultivars. Two cases of identity were found and ten statistically significant cases of putative parent/sibling were discovered by performing a SSR-based parentage simulation analysis with CERVUS. The Mantel test indicated low but significant correlations between the morphological data and SSR allelic frequency, origin and SSR allelic frequency, and origin and morphology. Structure software allowed inference of relationships between the three olive germplasm collections and allowed us to obtain the most consistent grouping and to identify putative admixed or exchanged cultivars. Cluster and multivariate analysis, based on morphological traits, revealed geographic grouping in agreement with UPGMA dendrogram and structure analysis using SSRs. Sicilian cultivars showed a more homogenous genetic makeup, probably due to geographical isolation, whilst Calabrian and Campanian cultivars seemed to have a less distinct genetic structure, with a greater degree of intermixing. A correlation between the presence of certain SSR alleles and fruit size was also found.

  19. d

    Data from: Identification and analysis of novel salt responsive candidate...

    • datadryad.org
    • data.niaid.nih.gov
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    zip
    Updated May 8, 2017
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    Kutubuddin Ali Molla; Ananda Bhusan Debnath; Showkat Ahmad Ganie; Tapan Kumar Mondal (2017). Identification and analysis of novel salt responsive candidate gene based SSRs (cgSSRs) from rice (Oryza sativa L.) [Dataset]. http://doi.org/10.5061/dryad.dj51c
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    zipAvailable download formats
    Dataset updated
    May 8, 2017
    Dataset provided by
    Dryad
    Authors
    Kutubuddin Ali Molla; Ananda Bhusan Debnath; Showkat Ahmad Ganie; Tapan Kumar Mondal
    Time period covered
    2017
    Area covered
    New Delhi
    Description

    Fig 4Figure-4: Dendrogram generated from an unweighted pair group method analysis (UPGMA) cluster analysis s based on salt responsive cgSSR markers. First two clusters showing all tolerant genotypes, whereas third cluster showing all susceptible genotypes.

  20. Data from: Influence of ethnolinguistic diversity on the sorghum genetic...

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    • data.niaid.nih.gov
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    bin
    Updated May 29, 2022
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    Data from: Influence of ethnolinguistic diversity on the sorghum genetic patterns in subsistence farming systems in eastern Kenya [Dataset]. https://zenodo.org/records/4993703
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    binAvailable download formats
    Dataset updated
    May 29, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Vanesse Labeyrie; Monique Deu; Adeline Barnaud; Caroline Calatayud; Marylène Buiron; Peterson Wambugu; Stéphanie Manel; Jean-Christophe Glaszmann; Christian Leclerc; Vanesse Labeyrie; Monique Deu; Adeline Barnaud; Caroline Calatayud; Marylène Buiron; Peterson Wambugu; Stéphanie Manel; Jean-Christophe Glaszmann; Christian Leclerc
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Eastern Province
    Description

    Understanding the effects of actions undertaken by human societies on crop evolution processes is a major challenge for the conservation of genetic resources. This study investigated the mechanisms whereby social boundaries associated with patterns of ethnolinguistic diversity have influenced the on-farm distribution of sorghum diversity. Social boundaries limit the diffusion of planting material, practices and knowledge, thus shaping crop diversity in situ. To assess the effect of social boundaries, this study was conducted in the contact zone between the Chuka, Mbeere and Tharaka ethnolinguistic groups in eastern Kenya. Sorghum varieties were inventoried and samples collected in 130 households. In all, 297 individual plants derived from seeds collected under sixteen variety names were characterized using a set of 18 SSR molecular markers and 15 morphological descriptors. The genetic structure was investigated using both a Bayesian assignment method and distance-based clustering. Principal Coordinates Analysis was used to describe the structure of the morphological diversity of the panicles. The distribution of the varieties and the main genetic clusters across ethnolinguistic groups was described using a non-parametric MANOVA and pairwise Fisher tests. The spatial distribution of landrace names and the overall genetic spatial patterns were significantly correlated with ethnolinguistic partition. However, the genetic structure inferred from molecular makers did not discriminate the short-cycle landraces despite their morphological distinctness. The cases of two improved varieties highlighted possible fates of improved materials. The most recent one was often given the name of local landraces. The second one, that was introduced a dozen years ago, displays traces of admixture with local landraces with differential intensity among ethnic groups. The patterns of congruence or discordance between the nomenclature of farmers' varieties and the structure of both genetic and morphological diversity highlight the effects of the social organization of communities on the diffusion of seed, practices, and variety nomenclature.

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U.S. Geological Survey (2024). Simple sequence repeats (SSRs) of Tetracapsuloides bryosalmonae parasites in kidney tissue collected from various water bodies in Montana, USA from 2016 to 2019 [Dataset]. https://catalog.data.gov/dataset/simple-sequence-repeats-ssrs-of-tetracapsuloides-bryosalmonae-parasites-in-kidney-tissue-c

Simple sequence repeats (SSRs) of Tetracapsuloides bryosalmonae parasites in kidney tissue collected from various water bodies in Montana, USA from 2016 to 2019

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Dataset updated
Jul 6, 2024
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Area covered
United States, Montana
Description

This dataset contains simple sequence repeat genotypes from Tetracapsuloides bryosalmonae infecting the tissue of fish collected from various locations throughout western and central Montana, USA.

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