Birds and Vectors Database
收藏Databricks2024-05-09 收录
下载链接:
https://marketplace.databricks.com/details/71aeed56-378b-473c-8604-a8b08911d92a/John-Snow-Labs_Birds-and-Vectors-Database
下载链接
链接失效反馈官方服务:
资源简介:
**Overview**
This data package contains databases of birds and vectors from around the world. Datasets included are Anophelines Database in Africa and Global Avian Invasions Atlas.
**Description**
The Anophelines Database in Africa contains 13,465 unique survey locations where anophelines were sampled in the Afrotropical Region south of the Sahara from 1898 to 2016. The Global Avian Invasions Atlas contains the 27,723 alien bird records that form the core of the Global AVian Invasions Atlas (GAVIA) project.
**Benefits**
- The anophelines database in africa is useful in understanding the distribution of anopheline vectors of malaria which is an important prelude in the designing of national malaria control and elimination programmes. on the other hand, the global avian invasions atlas is useful in identifying avians by taxonomic (species-level), spatial (geographic location, realm, land type) and temporal (dates of introduction and spread) components, as well as details relating to the introduction event (how and why the species was introduced, whether or not it is established).
**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.
**Included Datasets**
- [Anophelines Database in Africa](https://www.johnsnowlabs.com/marketplace/anophelines-database-in-africa)
- This dataset contains 13,465 unique survey locations where anophelines were sampled in the Afrotropical Region south of the Sahara from 1898 to 2016. This database is useful in understanding the distribution of anopheline vectors of malaria which is an important prelude in the designing of national malaria control and elimination programmes.
- [Global Avian Invasions Atlas](https://www.johnsnowlabs.com/marketplace/global-avian-invasions-atlas)
- This dataset contains the 27,723 alien bird records that form the core of the Global AVian Invasions Atlas (GAVIA) project.
**Data Engineering Overview**
**We deliver high-quality data**
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted
**Our data is curated and enriched by domain experts**
Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.
**Need Help?**
If you have questions about our products, contact us at [info@johnsnowlabs.com](mailto:info@johnsnowlabs.com).
提供机构:
John Snow Labs



