Company Datasets for valuable business insights!

Discover new business prospects, identify investment opportunities, track competitor performance, and streamline your sales efforts with comprehensive Company Datasets.

These datasets are sourced from top industry providers, ensuring you have access to high-quality information:

• Owler: Gain valuable business insights and competitive intelligence. -AngelList: Receive fresh startup data transformed into actionable insights. -CrunchBase: Access clean, parsed, and ready-to-use business data from private and public companies. -Craft.co: Make data-informed business decisions with Craft.co's company datasets. -Product Hunt: Harness the Product Hunt dataset, a leader in curating the best new products.

We provide fresh and ready-to-use company data, eliminating the need for complex scraping and parsing. Our data includes crucial details such as:

• Company name;
• Size;
• Founding date;
• Location;
• Industry;
• Revenue;
• Employee count;
• Competitors.

You can choose your preferred data delivery method, including various storage options, delivery frequency, and input/output formats.

Receive datasets in CSV, JSON, and other formats, with storage options like AWS S3 and Google Cloud Storage. Opt for one-time, monthly, quarterly, or bi-annual data delivery.

With Oxylabs Datasets, you can count on:

• Fresh and accurate data collected and parsed by our expert web scraping team.
• Time and resource savings, allowing you to focus on data analysis and achieving your business goals.
• A customized approach tailored to your specific business needs.
• Legal compliance in line with GDPR and CCPA standards, thanks to our membership in the Ethical Web Data Collection Initiative.

Pricing Options:

Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Unlock the power of data with Oxylabs' Company Datasets and supercharge your business insights today!

Elevation Profile is a configurable app template used to display the elevation profile for a selected feature or a measured line along with a web map. This template uses the Profile geoprocessing service to generate the elevation values along the profile. View the Profile service developer documentation for additional details. Use CasesGenerates an elevation profile graph based on a selected line feature in the map or a line drawn with the measure tool.Show changes in elevation along a hiking trail or route for a race.Configurable OptionsUse Elevation Profile to present content from a web map and configure it using the following options:Choose the title, description, and color theme.Configure a splash screen with customized text that displays when the app is first opened.Fully customize the color of the profile widget.Specify a custom profile service via URL. By default, this application uses the Elevation Analysis Profile Task to generate elevation values along the profile.Choose the elevation profile units and the location of the profile widget in the UI of the app.Enable a basemap gallery, legend, opacity slider, and share dialog.Supported DevicesThis application is responsively designed to support use in browsers on desktops, mobile phones, and tablets.Data RequirementsThis application has no data requirements.Get Started This application can be created in the following ways:Click the Create a Web App button on this pageShare a map and choose to Create a Web AppOn the Content page, click Create - App - From Template Click the Download button to access the source code. Do this if you want to host the app on your own server and optionally customize it to add features or change styling.

This profile is based on the ERSI Community Analyst Report Template. This infographic contains data provided by Esri. The vintage of the data is 2021, 2026.

We present the first set of microsatellite markers developed exclusively for an extinct taxon. Microsatellite data have been analysed in thousands of genetic studies on extant species but the technology can be problematic when applied to low copy number (LCN) DNA. It is therefore rarely used on substrates more than a few decades old. Now, with the primers and protocols presented here, microsatellite markers are available to study the extinct New Zealand moa (Aves: Dinornithiformes) and, as with single nucleotide polymorphism (SNP) technology, the markers represent a means by which the field of ancient DNA can (preservation allowing) move on from its reliance on mitochondrial DNA. Candidate markers were identified using high throughput sequencing technology (GS-FLX) on DNA extracted from fossil moa bone and eggshell. From the ‘shotgun’ reads, >60 primer pairs were designed and tested on DNA from bones of the South Island giant moa (Dinornis robustus). Six polymorphic loci were characterised and used to assess measures of genetic diversity. Because of low template numbers, typical of ancient DNA, allelic dropout was observed in 36–70% of the PCR reactions at each microsatellite marker. However, a comprehensive survey of allelic dropout, combined with supporting quantitative PCR data, allowed us to establish a set of criteria that maximised data fidelity. Finally, we demonstrated the viability of the primers and the protocols, by compiling a full Dinornis microsatellite dataset representing fossils of c. 600–5000 years of age. A multi-locus genotype was obtained from 74 individuals (84% success rate), and the data showed no signs of being compromised by allelic dropout. The methodology presented here provides a framework by which to generate and evaluate microsatellite data from samples of much greater antiquity than attempted before, and opens new opportunities for ancient DNA research.

This project brought renewed attention to reserve site profiles and supported the development of a modernized format that better aligns with and boosts the impact of reserve programs. The project Each reserve within the National Estuarine Research Reserve System maintains a specific site profile that synthesizes knowledge about its physical and biological characteristics to guide research and monitoring activities. Traditionally, the site profile has been a book or PDF, with limited support for a more interactive and modern interface design. The likely future addition of new reserves into the system, and the anticipated need to update many existing reserve site profiles, inspired the He'eia and Lake Superior reserves to develop a joint vision for a new site profile template with a user-driven interface design. This project team worked with the UW-Madison Division of Extension Evaluation Unit to conduct a survey of reserve staff and partners. The survey revealed that users wanted updated and relevant information in site profiles, wished for them to be digital and searchable, and wanted them to include cultural and historical content related to each reserve. Survey respondents also expressed moderate familiarity with reserve site profiles and noted that some characteristics such as technical language, ease of use, and accessibility could be improved to make them more appealing to both Reserve System staff and the general public. Working with contractors and reserve partners, the team developed a template and outline for a modernized web-based site profile, and a user guide with clear step by step instructions to create a digital profile. The updated site profile addresses the needs identified by the survey and focus groups, providing reserves with an option to include cultural and historical components of estuaries on their sites, as well as an optional section to identify future threats and corresponding research needs. Other key site profile features include ArcGIS mapping components and Zotero based bibliographies that allow for access to all citations in the site profiles. The project team found that overall awareness of site profiles can be increased by providing information via online messaging, local newsletters, local newspapers, and presentations in institutions affiliated with reserves.

Datasets that contain a minimum of nanopore reads sufficient for hidden Markov model training and for evaluating the performance of our computational tool - nanoHiMe at simultaneously calling CpG and/or adenine methylation on individual nanopore reads. Ecoli_PCR_amplicons_100k.tgz, Ecoli_PCR_MSssI_100k.tar.gz and Ecoli_PCR_pA-Hia5_100k.tar.gz are used for training new parameters of the emission distributions of individual k-mers from DNA template without modification, with fully methylated CpGs, and with partially methylated adenines, respectively. nanoHiMe_H3K27me3.fast5.tgz are the nanopore sequencing reads from H3K27me3 nanoHiMe-seq experiments in GM12878 cells and used for evaluating the performance of nanoHiMe at jointly calling CpG and adenine methylation.

Coral populations have declined worldwide largely due to increased sea surface temperatures. Recovery of coral populations depends in part upon larval recruitment. Many corals reproduce during the warmest time of year when further increases in temperature can lead to low fertilization rates of eggs and high larval mortality. Microarray experiments were designed to capture and assess variability in the thermal stress responses of Acropora palmata larvae from Puerto Rico. Transcription profiles showed a striking acceleration of normal developmental gene expression patterns with increased temperature. The transcriptional response to heat suggested rapid depletion of larval energy stores via peroxisomal lipid oxidation and included key enzymes that indicated the activation of the glyoxylate cycle. High temperature also resulted in expression differences in key developmental signalling genes including the conserved WNT pathway that is critical for pattern formation and tissue differentiation in developing embryos. Expression of these and other important developmental and thermal stress genes such as ferritin, heat shock proteins, cytoskeletal components, cell adhesion and autophagy proteins also varied among larvae derived from different parent colonies. Disruption of normal developmental and metabolic processes will have negative impacts on larval survival and dispersal as temperatures rise. However, it appears that variation in larval response to high temperature remains despite the dramatic population declines. Further research is needed to determine whether this variation is heritable or attributable to maternal effects. Hybridization followed a dual channel loop design using two biological replicates (dye-swapped) from each treatment that maximized power to detect differential expression in contrasts between temperatures and batches (within time-points) as well as the amount of data obtained from each slide (Simon and Dobbin 2003). A total of 18 arrays on two 12 plex slides were used (Table S1). Additional samples from other sub-batches (b3/b4) were included in the microarray experiment but are not used in this analysis. Each array measures the expression level of 135,185 genes from the elkhorn coral (Acropora palmata) transcriptome (Polato et al. 2011). Two 60-mer probes were designed for each contig (n = 85,260), and a single probe was designed for each singleton sequence (n = 45,390). Two additional probes each were developed for sequences associated with annotation information relating to calcium metabolism and stress response (n = 4,798). Replicate probes for individual sequences from the assembled transcriptome were not identical; rather they represented multiple different 60-mer sequences from the original template.

This dataset contains annual Excel pivot tables that display summaries of the patients treated in each Emergency Department (ED). The Emergency Department data is sourced from two databases, the ED Treat-and-Release Database and the Inpatient Database (i.e. patients treated in the ED and then formally admitted to the hospital). The summary data include number of visits, expected payer, discharge disposition, age groups, sex, preferred language spoken, race groups, principal diagnosis groups, and principal external cause of injury/morbidity groups. The data can also be summarized statewide or for a specific hospital county, ED service level, teaching/rural status, and/or type of control.

Selected demographic and housing estimates data citywide and by borough. Five year estimates of population data from the Census Bureau's American Community Survey.

The conserved FACT (FAcilitates Chromatin Transcription) complex is a chromatin-reorganizing complex that promotes RNAPII transcription through chromatin templates by interacting with histones. It facilitates promoter activation by nucleosome eviction, and transcription elongation by nucleosome disruption and reassembly ahead and behind the RNAP. It also has a role in replication not fully understood yet. Genome-wide microarray analyses in spt16-11 and pob3-7 strains revealed a set of genes whose mRNA levels were altered with respect to the WT levels. These include 48 up-regulated and 80 down-regulated genes that are common to both strains. The up-regulated genes were longer and expressed at lower levels than the genome average whereas the down-regulated genes were more similar to the average of the genome. S. cerevisiae strains were grown in YEPD liquid culture 4 h after a 26-to-30ºC temperature shift, total RNA was isolated and hybridized on Affymetrix microarrays.

The yeast, Saccharomyces cerevisiae, is a widely used model system for investigating conserved biological functions and pathways. Advancements in sample multiplexing have facilitated the study of the yeast proteome, yet many yeast proteins remain uncharacterized or only partially characterized. Yeast deletion strain collections are powerful resources for yeast proteome studies, uncovering the effects of gene function, genetic interactions, and cellular stresses. As complex biological systems cannot be understood by simply analyzing the individual components, a systems approach is often required in which a protein is represented as a component of large, interacting networks. Here, we evaluate the current state of yeast proteome analysis using isobaric tag-based sample multiplexing (TMTpro16) to profile the proteomes of 75 yeast deletion strains for which we measured the abundance of nearly 5000 proteins. Using statistical approaches, we highlighted covariance and regulation subnetworks and the enrichment of gene ontology classifications for covarying and coregulated proteins. This dataset presents a resource that is amenable to further data mining to study individual deletion strains, pathways, proteins, and/or interactions thereof while serving as a template for future network-based investigations using yeast deletion strain collections.

Although soil and agronomy data collection in Ethiopia has begun over 60 years ago, the data are hardly accessible as they are scattered across different organizations, mostly held in the hands of individuals (Ashenafi et al.,2020; Tamene et al.,2022), which makes them vulnerable to permanent loss. Cognizant of the problem, the Coalition of the Willing (CoW) for data sharing and access was created in 2018 with joint support and coordination of the Alliance Bioversity-CIAT and GIZ (https://www.ethioagridata.com/index.html). Mobilizing its members, the CoW has embarked on data rescue operations including data ecosystem mapping, collation, and curation of the legacy data, which was put into the central data repository for its members and the wider data user’s community according to the guideline developed based on the FAIR data principles and approved by the CoW. So far, CoW managed to collate and rescue about 20,000 legacy soil profile data and over 38,000 crop responses to fertilizer data (Tamene et al.,2022).

The legacy soil profile dataset (consisting of Profiles Site = 2,612 observations with 37 variables; Profiles Layer Field = 6,150 observations with 64 variables; Profiles Layer Lab= 4,575 observations with 76 variables) is extracted, transformed, and uploaded into a harmonized template from the below source: Bilateral Ethiopian-Netherlands Effort for Food, Income and Trade (BENEFIT) Partnership which is a portfolio of five programs (ISSD, Cascape, ENTAG, SBN, and REALISE) and is funded by the government of the Kingdom of Netherlands through its embassy in Addis Ababa. The Cascape program has conducted several studies, including soil surveys and mappings in AGP weredas in Tigray, Amhara, Oromia,and SNNPR in Ethiopia. The program (then Cascape project) as a collaborator of MoA/ATA has produced a map-database and soildataset of the major soil types (at 250-m resolution) of the landscapes of the 30 Cascape intervention-AGP weredas studied in 2013-2015: 5 of Tigray, 5 of Amhara, 15 of Oromia, and 5 of SNNPR.

Reference: Ashenafi, A., Tamene, L., and Erkossa, T. 2020. Identifying, Cataloguing, and Mapping Soil and Agronomic Data in Ethiopia. CIAT Publication No. 506. International Center for Tropical Agriculture (CIAT). Addis Ababa, Ethiopia. 42 p. 10.13140/RG.2.2.31759.41123. Tamene L; Erkossa T; Tafesse T; Abera W; Schultz S. 2021. A coalition of the Willing - Powering data-driven solutions for Ethiopian Agriculture. CIAT Publication No. 518. International Center for Tropical Agriculture (CIAT). Addis Ababa, Ethiopia. 34 p. https://www.ethioagridata.com/Resources/Powering%20Data-Driven%20Solutions%20for%20Ethiopian%20Agriculture.pdf. The Coalition of the Willing (CoW) website: https://www.ethioagridata.com/index.html.

TERMS:

Access to the data is limited to the CoW members until the national soil and agronomy data-sharing directive of MoA is registered by the Ministry of Justice and released for implementation.

DISCLAIMER: The dataset populated in the harmonized template consisting of 76 variables is extracted, transformed, and uploaded from the source document by the CoW. Hence, if any irregularities are observed, the data users have referred to the source document uploaded along with the dataset. Use of the dataset and any consequences arising from using it is the user’s sole responsibility.

This dataset contains annual Excel pivot tables that display summaries of the patients treated in each hospital-based and freestanding Ambulatory Surgery Clinic licensed by the California Department of Public Health (CDPH). The summary data includes discharge disposition, expected payer, preferred language spoken, age groups, race groups, sex, principal diagnosis groups, principal procedure groups, and principal external cause of injury/morbidity groups. The data can also be summarized statewide or for a specific facility county, type of control, and/or type of license (hospital or clinic). Note: Physician-owned ambulatory surgery clinics do not report their data to HCAI and, therefore, are not included in the statewide frequencies.

These profiles help paint a general picture of an area by presenting a range of headline indicator data in both spreadsheet and map form to help show statistics covering demographic, economic, social and environmental datasets for each borough, alongside relevant comparator areas.

The full datasets and more information for each of the indicators are usually available on the London Datastore. A link to each of the datasets is contained in the spreadsheet and map.

Borough Profiles - Excel

On opening the spreadsheet a simple drop down box allows you to choose which borough profile you are interested in. Selecting this will display data for that borough, plus either Inner or Outer London, London and a national comparator (usually England where data is available).

To see the full set of data for all 33 local authorities in London plus the comparator areas in Excel, click the 'Data' worksheet.

A chart and a map are also available to help visualise the data for all boroughs (macros must be enabled for the Excel map to function).

The data is set out across 11 themes covering most of the key indicators relating to demographic, economic, social and environmental data. Sources are provided in the spreadsheet. Notes about the indicator are provided in comment boxes attached to the indicator names.

Profiles using interactive mapping

For a geographical and bar chart representation of the profile data, open this interactive report. Choose indicators from the left hand side. Click on the comparators to make them appear on the chart and map.

Sources, links to data, and notes are all contained in the box in the bottom right hand corner.

These profiles include data relating to: Population, Households (census), Demographics, Migrant population, Ethnicity, Language, Employment, NEET, Benefits, Qualifications, Earnings, Volunteering, Jobs density, Business Survival, Crime, Fires, House prices, New homes, Tenure, Greenspace, Recycling, Carbon Emissions, Cars, Public Transport Accessibility (PTAL), Indices of Multiple Deprivation, GCSE results, Children looked after, Children in out-of-work families, Life Expectancy, Teenage conceptions, Happiness levels, Political control, and Election turnout.

Data is correct as of September 2014.

London Borough Atlas

To access even more data at local authority level, use the London Borough Atlas. It contains data about the same topics as the profiles but provides further detailed breakdowns and time-series data for each borough.

The London boroughs are: City of London, Barking and Dagenham, Barnet, Bexley, Brent, Bromley, Camden, Croydon, Ealing, Enfield, Greenwich, Hackney, Hammersmith and Fulham, Haringey, Harrow, Havering, Hillingdon, Hounslow, Islington, Kensington and Chelsea, Kingston upon Thames, Lambeth, Lewisham, Merton, Newham, Redbridge, Richmond upon Thames, Southwark, Sutton, Tower Hamlets, Waltham Forest, Wandsworth, Westminster.

You may also find our small area profiles useful - Ward, LSOA, and MSOA.

Array Manufacturer: Applied Biosystems, Catalogue number: 4470187, Distribution: virtual, Technology: RT-PCR, PCR assay Each TaqMan® OpenArray® Human MicroRNA Panel, QuantStudio™ 12K Flex contains 754 well-characterized human miRNA sequences from the Sanger miRBase v14. All 754 assays have been functionally validated with miRNA artificial templates., Studies using this array

A load profile is a chart illustrating the variation in electrical demand or electrical load (either expressed in the unit of apparent power (MVA) or current (amps)) over a specific time. The apparent power or current is measured every half an hour at each of our main substations, switching stations or intake points and plotted against the time when the measurements were taken to produce a load profile. Electricity load profiles, for City of Cape Town main substations, switching stations or intake points from Eskom, in units of either apparent power (MVA) or current (amps). Queries. . read more