Get a high-quality business email list to target potential clients and maximize returns per lead. Reach the intended inbox with personalized messages.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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## Overview
Wanted List is a dataset for object detection tasks - it contains Wanted List annotations for 4,044 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
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Established in 1964, the International Union for Conservation of Nature’s Red List of Threatened Species has evolved to become the world’s most comprehensive information source on the global extinction risk status of animal, fungus and plant species. The IUCN Red List is a critical indicator of the health of the world’s biodiversity. Far more than a list of species and their status, it is a powerful tool to inform and catalyse action for biodiversity conservation and policy change, critical to protecting the natural resources we need to survive. It provides information about range, population size, habitat and ecology, use and/or trade, threats, and conservation actions that will help inform necessary conservation decisions. The IUCN Red List is used by government agencies, wildlife departments, conservation-related non-governmental organisations (NGOs), natural resource planners, educational organisations, students, and the business community. The Red List process has become a massive enterprise involving the IUCN Global Species Program staff, partner organisations and experts in the IUCN Species Survival Commission and partner networks who compile the species information to make The IUCN Red List the indispensable product it is today.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
This document describes a dataset that aggregates information about 135 data journals.
Data journals focus on the publication of data papers -- a specialized publication type describing datasets, their collection and reuse potential that is peer-reviewed, citable and indexed.
This dataset includes a comprehensive list of data journals that was compiled by aggregating existing sources, as well as an overview of these sources.
The list is continually updated on GitHub, where additional information on data journals (URLs of data journal homepages) is provided: https://github.com/MaxiKi/data-journals
Listing of all (active and inactive) businesses registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly. NAICS Codes are from 2007 NAICS: https://www.census.gov/cgi-bin/sssd/naics/naicsrch?chart=2007
The LAT team monitors flux values for a number of bright sources and transient sources that have shown flares during the mission. (See up-to-date weekly reports on flaring sources at the Fermi-LAT Flare Advocate Blog.) As sources cross the monitoring flux threshold of 1x10-6 cm-2s-1, they are added to the monitored source list. (The initial flux threshold was 2x10-6 cm-2s-1, but this value was lowered in June 2009.) In addition to the light curves below, the flux values in several bands are available via Browse. This list will continue to grow as the mission progresses.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
## Overview
Parts List is a dataset for object detection tasks - it contains Detection 2K00484of Parts annotations for 995 images.
## Getting Started
You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.
## License
This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).
The average home in the U.S. sold for several percent below its asking price in December 2022, as a result of the housing market slowing. Just a few months before that, In the second quarter of 2022, the so-called sale-to-list price ratio went above 100. This reflected the high housing demand and the need of prospective home buyers to bid above the asking price. Housing demand - as measured in pending home sales - went up, as mortgage rates were historically low and plummeted once rates were increased.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
LIST-S2 predicts the deleteriousness of amino acid mutations in protein sequences. Here we provide precomputed predictions of human protein sequences. Scores are in the range [0 .. 1], where lower scores indicate more benign and higher indicate deleteriousness. One can also visualize/download LIST-S2 scores for all possible mutation of a specific protein sequence identified by its UniProt accession number. https://precomputed.list-s2.msl.ubc.ca/ LIST-S2 2019_10 tabix files: Precomputed predictions of ~200,000 human protein sequences release 2019_10 identified by their UniParc protein ID (UPI). Columns: 1. UniParc: UniParc protein ID UPI 2. Position: sequence position start at 1. 3. rAA: Reference amino acid. 4. AAA: Allele amino acid. 5. LIST-S2: LIST-S2 score. Two files: 1. LIST-S2_Human_UniParc_2019_10.tsv.gz.tbi 2. LIST-S2_Human_UniParc_2019_10.tsv.gz, divided into 4 parts: LIST-S2_Human_UniParc_2019_10_part1 LIST-S2_Human_UniParc_2019_10_part2 LIST-S2_Human_UniParc_2019_10_part3 LIST-S2_Human_UniParc_2019_10_part4 To reassemble LIST-S2_Human_UniParc_2019_10.tsv.gz: mv LIST-S2_Human_UniParc_2019_10_part1 LIST-S2_Human_UniParc_2019_10.tsv.gz cat LIST-S2_Human_UniParc_2019_10_part2 >> LIST-S2_Human_UniParc_2019_10.tsv.gz cat LIST-S2_Human_UniParc_2019_10_part3 >> LIST-S2_Human_UniParc_2019_10.tsv.gz cat LIST-S2_Human_UniParc_2019_10_part4 >> LIST-S2_Human_UniParc_2019_10.tsv.gz LIST-S2_OX9606_2019_10: Precomputed predictions of ~200,000 human protein sequences release 2019_10 identified by their UniProt accession. Columns: 1. AC: Sequence id from the fasta header. 2. Pos: Amino acid position. 3. Ref: The reference amino acid. 4. Conservation: The average LIST-S2 deleteriousness score of all possible mutations at that position. 5. 20 columns one for each amino acid: The potential deleteriousness LIST-S2 score for mutating the reference amino acid to “this” amino acid. The data is divided into two files: LIST-S2_OX9606_2019_10_part1 LIST-S2_OX9606_2019_10_part2 To reassemble: mv LIST-S2_OX9606_2019_10_part1 OX9606.tar.gz cat LIST-S2_OX9606_2019_10_part2 >> OX9606.tar.gz LIST-S2_Genomic_Human_2019_10.tsv.gz: Precomputed predictions of ~60,000 human protein sequences release 2019_10 identified by their genomic positions. Columns: 1. Chromosome: chromosome id. 2. position_g: chromosome position 3. ref_n: reference nucleotide. 4. allele_n: allele nucleotide. 5. AC: UniProt accession. 6. UPI: UniParc protein ID. 7. position_aa: amino acid position. 8. ref_aa: reference amino acid. 9. allele_aa: allele amino acid. 10. LIST-S2: LIST-S2 score. LIST-SI_OX=9606 (2019-07-14): Precomputed predictions of ~115,000 human protein sequences identified by their UniProt accession followed by Ensembl ENST id. Columns: 1. AC: Sequence id from the fasta header. 2. Pos: Amino acid position. 3. Ref: The reference amino acid. 4. Conservation: The average LIST-S2 deleteriousness score of all possible mutations at that position. 5. 20 columns one for each amino acid: The potential deleteriousness LIST-S2 score for mutating the reference amino acid to “this” amino acid. The data is divided into two files: LIST-SI_OX=9606_P1.tar.gz and LIST-SI_OX=9606_P2.tar.gz.
The age group with the largest number of individuals on the transplant waiting list in the U.S. as of December 8, 2024 was those aged 50-64 years. This age group had 43,960 patients waiting to receive transplants at that time. There is an extensive need for organ donations in the United States. Organ donations In the U.S. deceased donors can donate kidneys, liver, lungs, heart, pancreas and intestines. Living donors can donate one kidney, one lung or a portion of the liver, pancreas or intestine. Organs are donated mostly from middle-aged U.S. adults. Among all age groups, those aged 50 to 64 years had the highest number of organ donors in 2023. Waiting lists The number of organ donors in the U.S. has increased dramatically since 1988. Despite such a dramatic increase in the number of donors, there is still a great need among U.S. patients. As of the end of 2024, the organs with the most patients waiting for transplants in the U.S. were kidneys and livers. Over 90 thousand patients required a kidney at that time.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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United States Avg Sale to List: Single-Family: Crossville, TN data was reported at 96.438 % in Jul 2020. This records an increase from the previous number of 96.203 % for Jun 2020. United States Avg Sale to List: Single-Family: Crossville, TN data is updated monthly, averaging 94.343 % from Feb 2012 (Median) to Jul 2020, with 102 observations. The data reached an all-time high of 98.001 % in Apr 2020 and a record low of 88.264 % in Feb 2014. United States Avg Sale to List: Single-Family: Crossville, TN data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB050: Average Sales to List: by Metropolitan Areas.
This statistic shows the revenue of the industry “directory and mailing list publishers“ in California from 2012 to 2017, with a forecast to 2024. It is projected that the revenue of directory and mailing list publishers in California will amount to approximately 308,9 million U.S. Dollars by 2024.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
United States Avg Sale to List: Multi-Family: Cape Coral, FL data was reported at 96.498 % in Jul 2020. This records an increase from the previous number of 95.758 % for Jun 2020. United States Avg Sale to List: Multi-Family: Cape Coral, FL data is updated monthly, averaging 95.940 % from Jun 2015 (Median) to Jul 2020, with 62 observations. The data reached an all-time high of 98.417 % in Oct 2018 and a record low of 93.794 % in Dec 2016. United States Avg Sale to List: Multi-Family: Cape Coral, FL data remains active status in CEIC and is reported by Redfin. The data is categorized under Global Database’s United States – Table US.EB050: Average Sales to List: by Metropolitan Areas.
https://pacific-data.sprep.org/dataset/data-portal-license-agreements/resource/de2a56f5-a565-481a-8589-406dc40b5588https://pacific-data.sprep.org/dataset/data-portal-license-agreements/resource/de2a56f5-a565-481a-8589-406dc40b5588
Palau has not produced a definitive list of endangered species although a number of species have been accorded legal protection. All endemics are vulnerable due to their sole residence being a single remote archipelago. This dataset host the available records of red list for Palau as recorded by IUCN.
This dataset tracks the updates made on the dataset "Provider Suspended and Ineligible List (S&I List)" as a repository for previous versions of the data and metadata.
Empower your outreach strategy with our exclusive USA Email Address List, featuring 100M+ business emails for unparalleled connection and impact.
The MassDEP Division of Watershed Management (DWM), Watershed Planning Program’s (WPP) 2018/2020 Integrated List of Waters data layer provides EPA-approved water quality assessment and listing decisions for the 2018/2020 reporting cycle, as required by the Clean Water Act (CWA) under Sections 305(b), 314, and 303(d). The objective of the CWA is to restore and maintain the chemical, physical, and biological integrity of the Nation's waters. As one step toward meeting this goal each state must administer a program to monitor and assess the quality of its surface waters and provide periodic status reports to the U.S. Environmental Protection Agency (EPA).More details...Map service also available.
This dataset contains all current and active business licenses issued by the Department of Business Affairs and Consumer Protection. This dataset contains a large number of records /rows of data and may not be viewed in full in Microsoft Excel. Therefore, when downloading the file, select CSV from the Export menu. Open the file in an ASCII text editor, such as Notepad or Wordpad, to view and search.
Data fields requiring description are detailed below.
APPLICATION TYPE: 'ISSUE' is the record associated with the initial license application. 'RENEW' is a subsequent renewal record. All renewal records are created with a term start date and term expiration date. 'C_LOC' is a change of location record. It means the business moved. 'C_CAPA' is a change of capacity record. Only a few license types my file this type of application. 'C_EXPA' only applies to businesses that have liquor licenses. It means the business location expanded.
LICENSE STATUS: 'AAI' means the license was issued.
Business license owners may be accessed at: http://data.cityofchicago.org/Community-Economic-Development/Business-Owners/ezma-pppn To identify the owner of a business, you will need the account number or legal name.
Data Owner: Business Affairs and Consumer Protection
Time Period: Current
Frequency: Data is updated daily
https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/
Construction Punch List Software Market size was valued at USD 560 Million in 2024 and is projected to reach USD 1076 Million by 2031, growing at a CAGR of 9% from 2024 to 2031.
Global Construction Punch List Software Market Drivers
The market drivers for the Construction Punch List Software Market can be influenced by various factors. These may include:
Streamlining Project Management Procedures: By digitizing and centralizing punch list creation, management, and resolution, construction punch list software helps to streamline project management procedures. Improved collaboration among project managers, contractors, subcontractors, and other stakeholders leads to increased project productivity and efficiency.
Enhanced Communication and Collaboration: Regardless of a project team member’s physical location, construction punch list software enables real-time communication and collaboration. During the construction process, it helps to cut down on delays, mistakes, and misunderstandings by providing a centralized platform for stakeholders to assign tasks, track progress, and communicate updates.
Enhanced Accuracy and Accountability: Construction punch list software improves the accuracy and accountability of project documentation by digitizing the punch list creation and management process. By allowing stakeholders to record in-depth details about flaws, shortcomings, and necessary remedial measures, it guarantees that problems are dealt with promptly and thoroughly.
Enhanced Compliance and Quality Assurance: By offering standardized workflows, checklists, and reporting tools, construction punch list software contributes to increased regulatory compliance and quality assurance. It makes it possible for project teams to follow building codes, industry standards, and contractual obligations; this lowers the possibility of legal conflicts, rework, and expensive delays.
Mobile Accessibility and On-site Efficiency: A lot of construction punch list software packages provide mobile accessibility, enabling users to use smartphones or tablets to create, edit, and resolve punch list items straight from the construction site. This mobile feature reduces administrative overhead related to paper-based processes, expedites issue resolution, and increases on-site efficiency.
Integration with Other Technologies: Punch list software for construction can be integrated with project management platforms, building information modeling (BIM) software, and construction management systems, among other technologies. Stakeholders can see punch list items in the context of the digital model thanks to integration with BIM, which improves decision-making and coordination throughout the project lifecycle.
Demand for Sustainable Construction Practices: Green building and sustainability are becoming more and more important to the construction sector. By making it possible to identify and address safety, health, and environmental concerns during the construction process, construction punch list software can assist sustainable construction initiatives.
Market Demand for Digital Transformation Solutions: With the construction sector undergoing a digital revolution, software solutions that automate manual processes, boost operational effectiveness, and improve project outcomes are becoming more and more in demand. This trend is supported by construction punch list software, which provides digital tools and features that expedite punch list management and enhance project delivery.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Angie's List 借入資本 - 現在の値は、過去のデータ、予測、統計、チャートや経済カレンダー - Mar 2025.Data for Angie's List | 借入資本 including historical, tables and charts were last updated by Trading Economics this last March in 2025.
Get a high-quality business email list to target potential clients and maximize returns per lead. Reach the intended inbox with personalized messages.