O tamanho do mercado do mercado de software de clone de dados é categorizado com base no aplicativo (licença corporativa, licença pessoal) e produto (GUI, CLI) e regiões geográficas (América do Norte, Europa , Ásia-Pacífico, América do Sul, Oriente Médio e África).

Este relatório fornece informações sobre o tamanho do mercado e prevê o valor do mercado, expresso em US $ milhões, nesses definidos segmentos.

The global hard disk cloning software market is experiencing robust growth, driven by the increasing demand for data backup and disaster recovery solutions across various sectors. The market, estimated at $1.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth is fueled by several key factors, including the rising adoption of cloud-based solutions, the increasing prevalence of cyber threats necessitating robust data protection strategies, and the growing complexity of IT infrastructure demanding efficient data migration and recovery tools. The segment encompassing commercial applications holds a significant market share due to the higher data volumes and stringent compliance requirements within enterprises. Furthermore, the increasing popularity of hybrid and multi-cloud environments is bolstering the demand for sophisticated cloning software capable of seamless data transfer across various platforms. The on-premises segment, while maintaining a substantial presence, is experiencing slower growth compared to its cloud-based counterpart as organizations increasingly embrace the scalability and cost-effectiveness of cloud solutions. The market's growth trajectory is influenced by several trends. The integration of artificial intelligence (AI) and machine learning (ML) into cloning software is streamlining the backup and recovery process, enhancing efficiency and reducing downtime. Furthermore, the rising demand for software-defined storage (SDS) solutions is creating new opportunities for hard disk cloning software providers. However, factors like the high initial investment costs associated with implementing advanced cloning solutions and the potential for data loss during the cloning process pose challenges to market expansion. The competitive landscape is characterized by a mix of established players and emerging companies, each striving to offer innovative solutions and cater to the diverse needs of end-users across various segments and geographical locations. The market is witnessing increased consolidation as larger players acquire smaller companies to expand their product portfolios and market reach.

GitHub projects can be easily replicated through the site's fork process or through a Git clone-push sequence. This is a problem for empirical software engineering, because it can lead to skewed results or mistrained machine learning models. We provide a dataset of 10.6 million GitHub projects that are copies of others, and link each record with the project's ultimate parent. The ultimate parents were derived from a ranking along six metrics. The related projects were calculated as the connected components of an 18.2 million node and 12 million edge denoised graph created by directing edges to ultimate parents. The graph was created by filtering out more than 30 hand-picked and 2.3 million pattern-matched clumping projects. Projects that introduced unwanted clumping were identified by repeatedly visualizing shortest path distances between unrelated important projects. Our dataset identified 30 thousand duplicate projects in an existing popular reference dataset of 1.8 million projects. An evaluation of our dataset against another created independently with different methods found a significant overlap, but also differences attributed to the operational definition of what projects are considered as related.

The dataset is provided as two files identifying GitHub repositories using the login-name/project-name convention. The file deduplicate_names contains 10,649,348 tab-separated records mapping a duplicated source project to a definitive target project.

The file forks_clones_noise_names is a 50,324,363 member superset of the source projects, containing also projects that were excluded from the mapping as noise.

We analysed 2,800 programs in Java and C for which we knew they are functionally similar. We checked if existing clone detection tools are able to find these functional similarities and classified the non-detected differences. We make all used data, the analysis software as well as the resulting benchmark available here.

This package provides matlab codes and data in Data-Cloning SMC2 for Applications to Latent Variable Models

A greenhouse experiment was conducted to test the ability of the invasive clonal plant, Lepidium draba, to cope with damage to local and different ramets. The experiment was arranged in a fully factorial split-pot design that was blocked by bench position and provenance population of the plant. Plants were grown in 'split pots', where two adjoining pots were glued together with a small opening for a lateral root to pass through. A plant with a long lateral root was placed such that one ramet was in one pot, and a connected ramet was in the adjoining pot. One ramet was randomly assigned as the 'local' ramet and the other was assigned as the 'neighbor' ramet. Three treatments were applied in a fully factorial manner: (1) connection of lateral root (connected / not connected), (2) damage to local ramet by a generalist herbivore Trichoplusia ni (damaged / undamaged); (3) damage to the local ramet by a specialist herbivore Pieris rapae (damaged / undamaged). Measured responses were the amount of foliar damage to plants, the relative growth rate of a newly applied (bioassay) herbivore (T. ni), the belowground and aboveground biomass of each ramet, and the ability of the neighboring ramet to regrow following removal of aboveground biomass.

Simulation data used with the research article "Digital cloning of online social networks for language-sensitive agent-based modeling of misinformation spread" currently under peer review

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Relatedness strongly influences social behaviors in a wide variety of species. For most species, the highest typical degree of relatedness is between full siblings with 50% shared genes. However, this is poorly understood in species with unusually high relatedness between individuals: clonal organisms. Although there has been some investigation into clonal invertebrates and yeast, nothing is known about kin selection in clonal vertebrates. We show that a clonal fish, the Amazon molly (Poecilia formosa), can distinguish between different clonal lineages, associating with genetically identical, sister clonals, and use multiple sensory modalities. Also, they scale their aggressive behaviors according to the relatedness to other females: they are more aggressive to non-related clones. Our results demonstrate that even in species with very small genetic differences between individuals, kin recognition can be adaptive. Their discriminatory abilities and regulation of costly behaviors provides a powerful example of natural selection in species with limited genetic diversity.

Abstract
In long-lived clonal plant species, the overall size of a clone has previously been used to estimate clone age. The size of a clone, however, might be largely determined by physical or biotic interactions, obscuring the relationship between clone size and age. Here, we use the accumulation of mutations at 14 microsatellite loci to estimate clone age in trembling aspen, Populus tremuloides, from southwestern Canada. We show that the observed patterns of genetic divergence are consistent with a model of clonal growth, allowing us to use pairwise genetic divergence as an estimator of clone age. In the populations studied, clone size did not exhibit a significant relationship with microsatellite divergence, indicating that clone size is not a good proxy for clone age.

Original data: https://figshare.com/articles/dataset/TF-C_Pretrain_EMG/19930250

Host range studies of faba bean aphid conducted in glasshouse. Data set contains raw data on faba bean aphid reproductive capacities observed on its prefered hosts.

162 Global import shipment records of Malaria Clone with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Raw data after alignment of sequenced mRNA

Microbial community composition is inferred by a combination of automated ribosomal intergenic spacer analysis (ARISA) and PCR-generated clone library analysis. Clone libraries include both the 16S rRNA gene and the 16S-23S ribosomal intergenic spacer fragment. Phylogenetic assignments for individual ARISA fragments are obtained by comparing the ARISA fragment length from each clone to all of the profiles stored in our database. We have analyzed over 3900 clones obtained from 41 lakes that represent the range of trophic types found in temperate landscapes. Querying by taxonomic characteristics of the clone allows the user to retrieve clone IDs, sequence data, and characteristics of the sequence (length, chimera status, accession number, taxonomic affiliation). The data can be filtered by clone ID, ARISA fragment length (raw or binned), and/or taxonomic characteristics (Phylum and Phylum-Class). The output includes links to individual clone records, which contain more detailed information about how the clone was generated (researcher, library ID, project ID, primer sets used, etc.).

Brook trout clone filteredClone filtered VCF file of brook trout genotype data. VCF files were generated using stacks 2.46 with minimal filters (STACKS flags = -r 0.3, --min_maf 0.05). Data was generated using the SbfI enzyme, methods outlined in Ali et al. (2016)and prepared in the Genomic Variation Lab at the University of California--Davis and sequenced on Illumina NextSeq 500 (PE 75 bp reads, 96 samples/lane) at the Cornell Institute of Biotechnology.bt_CF.vcfBrook trout unfilteredNon-clone filtered (unfiltered) VCF file of brook trout genotype data. VCF files were generated using stacks 2.46 with minimal filters (STACKS flags = -r 0.3, --min_maf 0.05). Data was generated using the SbfI enzyme, methods outlined in Ali et al. (2016)and prepared in the Genomic Variation Lab at the University of California--Davis and sequenced on Illumina NextSeq 500 (PE 75 bp reads, 96 samples/lane) at the Cornell Institute of Biotechnologybt_noCF.vcfCisco clone filteredClone filtered (filtered) VCF f...

In long-lived clonal plant species, the overall size of a clone has previously been used to estimate clone age. The size of a clone, however, might be largely determined by physical or biotic interactions, obscuring the relationship between clone size and age. Here, we use the accumulation of mutations at 14 microsatellite loci to estimate clone age in trembling aspen, Populus tremuloides, from southwestern Canada. We show that the observed patterns of genetic divergence are consistent with a model of clonal growth, allowing us to use pairwise genetic divergence as an estimator of clone age. In the populations studied, clone size did not exhibit a significant relationship with microsatellite divergence, indicating that clone size is not a good proxy for clone age.

Ce jeu de données est destiné à la datavisualisation.

URL: https://geoscience.data.qld.gov.au/dataset/cr112742

EPM 26538, CLONE 2 PROJECT, ANNUAL REPORT FOR PERIOD ENDING 22/4/2019

330 Global exporters importers export import shipment records of Malaria clone with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.