Content

The museum dataset is an evolving list of museums and related organizations in the United States. The data file includes basic information about each organization (name, address, phone, website, and revenue) plus the museum type or discipline. The discipline type is based on the National Taxonomy of Exempt Entities, which the National Center for Charitable Statistics and IRS use to classify nonprofit organizations.

Non-museum organizations may be included. For example, a non-museum organization may be included in the data file because it has a museum-like name on its IRS record for tax-exempt organizations. Museum foundations may also be included.

Museums may be missing. For example, local municipal museums may be undercounted because original data sources used to create the compilation did not include them.

Museums may be listed multiple times. For example, one museum may be listed as both itself and its parent organization because it was listed differently in each original data sources. Duplicate records are especially common for museums located within universities.

Information about museums may be outdated. The original scan and compilation of data sources occurred in 2014. Scans are no longer being done to update the data sources or add new data sources to the compilation. Information about museums may have changed since it was originally included in the file.

Acknowledgements

The museum data was compiled from IMLS administrative records for discretionary grant recipients, IRS records for tax-exempt organizations, and private foundation grant recipients.

Inspiration

Which city or state has the most museums per capita? How many zoos or aquariums exist in the United States? What museum or related organization had the highest revenue last year? How does the composition of museum types differ across the country?

About London London is the capital city of England and the United Kingdom, located in the southeast part of the country. It is a global city and a major center for finance, commerce, culture, and tourism. With a population of over 8 million people, it is the most populous city in the UK and one of the largest cities in Europe. London is famous for its iconic landmarks such as Big Ben, the Tower Bridge, Buckingham Palace, and the London Eye, as well as its world-renowned museums, art galleries, theaters, and restaurants. The city is also known for its diverse population and multicultural atmosphere, with over 300 languages spoken within its borders.

About Dataset This dataset contains daily weather observations for London, UK from January 1, 2000 to January 1, 2023. The data is collected from Meteostat. The dataset contains 10 columns with 8402 rows.

Numerous reef-forming species have declined dramatically in the last century, many of which have been insufficiently documented due to anecdotal or hard-to-access information. One of them, the honeycomb worm Sabellaria alveolata (L.) is a tube-building polychaete that can form large reefs, providing important ecosystem services such as coastal protection and habitat provision. It ranges from Scotland to Morocco, yet little is known about its distribution outside of the United Kingdom, where it is protected and where there is a strong heritage of natural history and sustained observations. As a result, online marine biodiversity information systems currently contain haphazardly distributed records of S. alveolata. One of the objectives of the REEHAB project (http://www.honeycombworms.org) was to combine historical records with contemporary data to document changes in the distribution and abundance of S. alveolata. Here we publish the result of the curation of 446 sources, gathered from literature, targeted surveys, local conservation reports, museum specimens, personal communications by authors and by their research teams, national biodiversity information systems (i.e. the UK National Biodiversity Network (NBN), https://nbn.org.uk/) and validated citizen science observations (i.e. https://www.inaturalist.org/). 80%[ar1] of these records were not previously referenced in any online information system. Additionally, historic field notebooks from Edouard Fischer-Piette and Gustave Gilson were scanned for S. alveolata information and manually entered. The original taxonomic identification of the 23296 S. alveolata records has been kept. Some identification errors may however be present, particularly in the English Channel and the North Sea where incorrectly identified observations of intertidal Sabellaria spinulosa were recorded. A further 229 observations are recorded as ‘Sabellaria spp.’ as the available information does not allow a species-level identification. Many sources reported abundances based on the semi-quantitative SACFOR scale while others simply noted its presence, and others still verified both its absence and presence. The result is a curated and comprehensive dataset spanning over two centuries on the past and present global distribution and abundance of S. alveolata. Sabellaria alveolata records projected onto a 50km grid. When SACFOR scale abundance scores were given to occurrence records, the highest abundance value per grid cell was retained.