Records from operating a customer call center or service center providing services to the public. Services may address a wide variety of topics such as understanding agency mission-specific functions or how to resolve technical difficulties with external-facing systems or programs. Includes:rn- incoming requests and responsesrn- trouble tickets and tracking logs rn- recordings of call center phone conversations with customers used for quality control and customer service trainingrn- system data, including customer ticket numbers and visit tracking rn- evaluations and feedback about customer servicesrn- information about customer services, such as “Frequently Asked Questions” (FAQs) and user guidesrn- reports generated from customer management datarn- complaints and commendation records; customer feedback and satisfaction surveys, including survey instruments, data, background materials, and reports.

The global public cloud non-relational databases and NoSQL database market is projected to reach $24,908.32 million by 2033, exhibiting a CAGR of 16.8% during the forecast period (2023-2033). Factors such as the increasing adoption of cloud-based technologies, surging demand for data analytics, and growing need for flexible and scalable databases are driving the market growth. The key types of NoSQL databases include key-value storage, column storage, document database, and graph database. Among these, the key-value storage database segment currently holds the largest market share due to its simplicity, speed, and scalability. Regionally, North America is expected to dominate the market throughout the forecast period, owing to the high adoption of cloud-based technologies and presence of leading technology companies. However, the Asia Pacific region is anticipated to exhibit the highest growth rate during the forecast period, driven by the increasing demand for data analytics solutions and growing awareness of NoSQL databases. Key players in the market include IBM, MongoDB Inc, AWS, Apache Software Foundation, Neo Technologies (Pty) Ltd, InterSystems, Google, Oracle Corporation, Teradata, DataStax, and Software AG. These companies are focusing on innovation and partnerships to expand their market presence and meet the evolving needs of customers.

Iowa Public Employment Relations Board (PERB) electronic research and retrieval database system. This system provides access to full-text documents including: Contracts, Contracts Archive, PERB and Court Decisions, and Neutral Decisions.

Contracts – Contracts published and included in this database are only those forwarded to PERB by the parties. Contracts Archive – Contracts that were forwarded to PERB and have expired, beginning with those that expired in 2008, are included in this database.

PERB and Court Decisions – In this database, the PERB decisions do not include routine or preliminary rulings and orders issued by PERB, but include only substantive final agency decisions and non-final rulings and orders deemed informative. Court decisions are those on judicial review of PERB decisions.

Neutral Decisions – The neutral decisions database includes recent and a number of prior years’ fact-finding and interest arbitration decisions. Additionally, it includes only those grievance arbitration decisions forwarded to PERB for publication by the arbitrator with consent of the parties involved. Click on the Contents tab of the database to view all documents contained in the database.

PERB decisions do not include routine or preliminary rulings and orders issued by PERB, but include only substantive final agency decisions and non-final rulings and orders deemed informative. Court decisions are those on judicial review of PERB decisions.

Curated using this pipeline: https://github.com/bge-barcoding/bold-library-curation (release v3)

result_output.tsv.gz = Processed records in BCDM TSV format with additional columns from ranking.
bold.db.gz = Processed records in SQL database format
logs.tar.gz = logs from analysis
family_databases_compressed.tar.gz = manual curation package for family (database file, PDF checklist, PDF & SVG phylogeny)
bold_database_statistics.pdf = summary of dataset

This is the description of a dataset. The description can be quite long and this can look strange in the public dataset page. In the drafts page there is a scrollbar in the scrollbar, why not in the public page? Well, the public page needs to support viewing on a mobile phone and this can make scroll bars within scrollbars within scrollbars a little difficult. So maybe it’ll be better to try using ellipses. Additionally only adding a description does not make it a new version. This is the description of a dataset. The description can be quite long and this can look strange in the public dataset page. In the drafts page there is a scrollbar in the scrollbar, why not in the public page? Well, the public page needs to support viewing on a mobile phone and this can make scroll bars within scrollbars within scrollbars a little difficult. So maybe it’ll be better to try using ellipses. Additionally only adding a description does not make it a new version.

This is the description of a dataset. The description can be quite long and this can look strange in the public dataset page. In the drafts page there is a scrollbar in the scrollbar, why not in the public page? Well, the public page needs to support viewing on a mobile phone and this can make scroll bars within scrollbars within scrollbars a little difficult. So maybe it’ll be better to try using ellipses. Additionally only adding a description does not make it a new version. This is the description of a dataset. The description can be quite long and this can look strange in the public dataset page. In the drafts page there is a scrollbar in the scrollbar, why not in the public page? Well, the public page needs to support viewing on a mobile phone and this can make scroll bars within scrollbars within scrollbars a little difficult. So maybe it’ll be better to try using ellipses. Additionally only adding a description does not make it a new version.

This data from USAFacts provides US COVID-19 case and death counts by state and county. This data is sourced from the CDC, and state and local health agencies. For more information, see the USAFacts site on the Coronavirus. Interactive data visualizations are also available via USAFacts. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery . This dataset has significant public interest in light of the COVID-19 crisis. All bytes processed in queries against this dataset will be zeroed out, making this part of the query free. Data joined with the dataset will be billed at the normal rate to prevent abuse. After September 15, queries over these datasets will revert to the normal billing rate.

This database was designed in response to the Director Memorandum - "Effective January 1, 2019 all structure greater than 120 square feet in the State Responsibility Area (SRA) damaged by wildfire will be inspected and documented in the DINS Collector App."

Privately owned public spaces, also known by the acronym POPS, are outdoor and indoor spaces provided for public enjoyment by private owners in exchange for bonus floor area or waivers, an incentive first introduced into New York City’s zoning regulations in 1961. To find out more about POPS, visit the Department of City Planning's website at http://nyc.gov/pops. This database contains detailed information about each privately owned public space in New York City.

Data Source: Privately Owned Public Space Database (2018), owned and maintained by the New York City Department of City Planning and created in collaboration with Jerold S. Kayden and The Municipal Art Society of New York.

BEA's Public Data Listing

United States Department of Transportation Public Data Listing. The file is formatted to comply with project open data common core metadata requirements (http://project-open-data.github.io/schema/) and conforms to schema version 1.1

Requests for public data to the State

The Public Health Research Database (PHRD) is a linked asset which currently includes Census 2011 data; Mortality Data; Hospital Episode Statistics (HES); GP Extraction Service (GPES) Data for Pandemic Planning and Research data. Researchers may apply for these datasets individually or any combination of the current 4 datasets.

The purpose of this dataset is to enable analysis of deaths involving COVID-19 by multiple factors such as ethnicity, religion, disability and known comorbidities as well as age, sex, socioeconomic and marital status at subnational levels. 2011 Census data for usual residents of England and Wales, who were not known to have died by 1 January 2020, linked to death registrations for deaths registered between 1 January 2020 and 8 March 2021 on NHS number. The data exclude individuals who entered the UK in the year before the Census took place (due to their high propensity to have left the UK prior to the study period), and those over 100 years of age at the time of the Census, even if their death was not linked. The dataset contains all individuals who died (any cause) during the study period, and a 5% simple random sample of those still alive at the end of the study period. For usual residents of England, the dataset also contains comorbidity flags derived from linked Hospital Episode Statistics data from April 2017 to December 2019 and GP Extraction Service Data from 2015-2019.

The United States Environmental Protection Agency (EPA) protects both public health and the environment by establishing the standards for national air quality. The EPA provides annual summary data as well as hourly and daily data in the categories of criteria gases, particulates, meteorological, and toxics. These datasets include measurements beginning in 1990 and are updated twice a year. In June, the complete data for the previous year is updated, and in December the summer data is updated. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

Boston Public Schools (BPS) schools for the school year 2018-2019. Updated September 2018.

This session will focus on the baseline of skills that Data Liberation Initiative (DLI) Contacts should have and the corresponding training to achieve these skills. Introducing newcomers to the language of statistics and data is one of the important tasks of the orientation. Acquiring a technical language often poses a barrier to newcomers. To overcome this hurdle, newcomers must grasp both the meaning of new concepts and its abbreviated language of acronyms. Should we expect the orientation to offer all of the baseline skills or is other instruction needed? Do different local environments result in varying uses of DLI resources? Are the same skills needed among differing environments? How much attention should be paid during the orientation to different models of data service? For example, should the implications of buying services from elsewhere (e.g., Sherlock, IDLS, CHASS, Queen’s, etc.) be covered? What kind of distinctions need to be made for the levels of support for instructional and research uses of data? What about the reference uses of data, that is, using data to answer reference questions? Are there additional skills required of those supporting DLI data for research and reference uses? If there are, what are they and how should they be introduced?

This file contains historical budget authority and offsetting receipts from 1976 through the current budget year, as well as four years of projections. It can be used to reproduce many of the totals published in the Budget and examine unpublished details below the level of aggregation in the Budget.

The database of public roads of the Republic of Croatia contains all public roads on the territory of the Republic of Croatia, in accordance with the applicable Law on Roads and the Decision on Classification of Public Roads. Data on the position of public roads are given in the HTRS96/TM reference system.

Descriptive Seizure Semiologies and their descriptive hierarchical brain localisations (11230 datapoints) and lateralisations (2391 datapoints) from 4643 patients across 309 included articles, first release as standalone dataset.

The California Protected Areas Database (CPAD) is a GIS database of lands that are owned in fee and protected for open space purposes by over 1,000 public agencies or non-profit organizations. It is the authoritative GIS database of parks and open space in California.

CPAD is maintained and published by GreenInfo Network (www.greeninfo.org). GreenInfo Network publishes CPAD twice annually.

The COVID-19 Search Trends symptoms dataset shows aggregated, anonymized trends in Google searches for a broad set of health symptoms, signs, and conditions. The dataset provides a daily or weekly time series for each region showing the relative volume of searches for each symptom. This dataset is intended to help researchers to better understand the impact of COVID-19. It shouldn't be used for medical diagnostic, prognostic, or treatment purposes. It also isn't intended to be used for guidance on personal travel plans. To learn more about the dataset, how we generate it and preserve privacy, read the data documentation . To visualize the data, try exploring these interactive charts and map of symptom search trends . As of Dec. 15, 2020, the dataset was expanded to include trends for Australia, Ireland, New Zealand, Singapore, and the United Kingdom. This expanded data is available in new tables that provide data at country and two subregional levels. We will not be updating existing state/county tables going forward. All bytes processed in queries against this dataset will be zeroed out, making this part of the query free. Data joined with the dataset will be billed at the normal rate to prevent abuse. After September 15, queries over these datasets will revert to the normal billing rate. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .