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TwitterThis dataset lists suggestions received through the CT Open Data Dataset Suggestion survey here: https://data.ct.gov/stories/s/eivh-c3ze.
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TwitterA unified data repository of the National Cancer Institute (NCI)'s Genomic Data Commons (GDC) that enables data sharing across cancer genomic studies in support of precision medicine. The GDC supports several cancer genome programs at the NCI Center for Cancer Genomics (CCG), including The Cancer Genome Atlas (TCGA), Therapeutically Applicable Research to Generate Effective Treatments (TARGET), and the Cancer Genome Characterization Initiative (CGCI). The GDC Data Portal provides a platform for efficiently querying and downloading high quality and complete data. The GDC also provides a GDC Data Transfer Tool and a GDC API for programmatic access.
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TwitterThis web page leads to a database of images and information about the 150 major impact craters on Ganymede and is updated semi-regularly based on continuing analysis of Voyager 2 images.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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DAPSTOM (integrated database and portal for fish stomach records) is an ongoing initiative (supported by Defra and the EU) to digitise and make available fish stomach content records spanning the past 100 years. In this latest iteration (Version 6.3) an additional 26,767 records for 122,137 individual predator stomachs have been added to the dataset (including 31,488 cod stomachs), bringing the total up to 283,121 records from 481,476 stomachs and 741 distinct research cruises/sampling campaigns. Data are available for 210 predator species and a huge swathe of the Northeast Atlantic, but particularly the North Sea, Celtic Sea, Irish Sea and area around Spitzbergen. Records span the period 1836 to 2023, and the database encompasses individuals ranging in size from 0.1 cm (a herring larva) to 768 cm for a basking shark caught in 1947.
The DAPSTOM database (version 1) was originally created in 2007. It has been used to parameterise multispecies fisheries models and to develop ecosystem indicators, with a focus on ‘food-webs’, as well as basic investigations into the underlying biology of particular species. Most datasets were derived from scientists log-books or reports contained within the Cefas archive, others were donated by ‘partners’ or were digitised from published peer-reviewed papers, with specific relevance to the British Isles. This update to DAPSTOM has been funded via the European Union under project “SC10 – Study on stomach content of fish to update databases and analyse possible changes in diet or food webs interactions” (EASME/EMFF/2018/011). The intention is that the DAPSTOM Version 6.3 database will be made searchable and freely available to users via a dedicated R-shiny interface.
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TwitterAll-time high price data for Portal, including the peak value, date achieved, and current comparison metrics.
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TwitterDocumentation for working with the open data catalog, datasets, visualizations, and filters.
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TwitterA database for the entire Markarian (First Byurakan Spectral Sky Survey or FBS) Catalog is presented that combines extensive new measurements of their optical parameters with a literature and database search. The measurements were made using images extracted from the STScI Digitized Sky Survey (DSS) of F_pg (red) and J_pg (blue) band photographic sky survey plates obtained by the Palomar and UK Schmidt telescopes. The authors provide accurate coordinates, morphological type, spectral and activity classes, red and blue apparent magnitudes, apparent diameters, axial ratios, and position angles, as well as number counts of neighboring objects in a circle of radius 50 kpc. Special attention was paid to the individual descriptions of the galaxies in the original Markarian lists, which clarified many cases of misidentifications of the objects, particularly among interacting systems, larger galaxies with knots of star formation, possible stars, and cases of stars projected on galaxies. The total number of individual Markarian objects in the database is now 1544. The authors also have included redshifts which are now available for 1524 of the objectswith UV-excess radiation, as well as Galactic color excess E(B-V) values and their 2MASS or DENIS infrared magnitudes. The table also includes extensive notes that summarize information about the membership of Markarian galaxies in different systems of galaxies and about new and revised activity classes and redshifts. The new optical information on Markarian galaxies was obtained from images extracted from the STScI Digitized Sky Survey (DSS) of F_pg (red) and J_pg (blue) band photographic sky survey plates obtained by the Palomar and UK Schmidt telescopes. This table was created by the HEASARC in November 2009 based on the electronic version of the optical database of Markarian galaxies which was obtained from the CDS (their catalog J/ApJS/170/33 file table1.dat). This is a service provided by NASA HEASARC .
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Twitterhttps://data.gov.tw/licensehttps://data.gov.tw/license
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TwitterU.S. Government Workshttps://www.usa.gov/government-works
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The home of Medicaid and CHIP open data provided by the Federal Government. Conduct research and design data visualizations using open data from Medicaid and the Children's' Health Insurance Program (CHIP) Data available on the following categories: • Drug Pricing and Payment • Enrollment • Quality • Eligibility • State Drug Utilization • Uncategorized
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TwitterThe MN Public Health Data Access portal, maintained by the Minnesota Department of Health (MDH), provides data on over 20 health and environment topics. Data are accessible through charts, tables, and maps, and also may be downloaded from MDH's website. Users may use these data to inform state and local planning and policy, grant writing, research, and more.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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This data shows the locations of all the groundwater models that have been added to the GroMoPo project. The data are available as a geoJSON, (zipped) shapefile, and CSV file.
For more information about GroMoPo, please visit the website: http://www.gromopo.org
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TwitterA document on how to access Fisheries New Zealand’s Commercial Fisheries Management Areas spatial data. This document provide a step-by-step guide to aid you with downloading the updated datasets listed above. You will be able to download the datasets in a variety of format.This document can be found by MPI staff here.
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Twitterhttps://creativecommons.org/share-your-work/public-domain/pdmhttps://creativecommons.org/share-your-work/public-domain/pdm
This project includes a pdf capture of a webpage and the underlying data for the visualizations in both csv and Tableau formats.On July 28-30, 2017, the VA Office of Enterprise Integration and the University of California Agriculture and Natural Resources (UCANR) convened a 48-hour collaborative event at the Urban Hive in Sacramento, California, to encourage the development of innovative solutions to spark entrepreneurship and bring together the seemingly disparate worlds of software development, commercial farming, and Veterans.Data about Veteran farmers by county was also used at Tableau’s Student Data Hackathon on July 31, 2018, where Washington D.C. area college students, who are Veterans, learned about Tableau products using data from VA’s Open Data and the Bureau of Labor Statistics to build data analytics skills creating data visualizations.
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TwitterPublic Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
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These instructional videos walk users through the portal and its different features.
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Map and tables with data describing Virginia's veteran population. Data tables cover: Veterans Affairs (VA) facilities and expenditures; veteran population including age distribution, period of service, household income, and educational attainment; veterans' use of VA healthcare and benefits; and projected veteran population changes as well as projections by age, gender, period of service, race/ethnicity, and age distribution over time.
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TwitterAssignment Topic: In this assignment, you will download the datasets provided, load them into a database, write and execute SQL queries to answer the problems provided, and upload a screenshot showing the correct SQL query and result for review by your peers. A Jupyter notebook is provided in the preceding lesson to help you with the process.
This assignment involves 3 datasets for the city of Chicago obtained from the Chicago Data Portal:
This dataset contains a selection of six socioeconomic indicators of public health significance and a hardship index, by Chicago community area, for the years 2008 – 2012.
This dataset shows all school level performance data used to create CPS School Report Cards for the 2011-2012 school year.
This dataset reflects reported incidents of crime (with the exception of murders where data exists for each victim) that occurred in the City of Chicago from 2001 to present, minus the most recent seven days.
Instructions:
Before you begin, you will need to become familiar with the datasets. Snapshots for the three datasets in .CSV format can be downloaded from the following links:
Chicago Socioeconomic Indicators: Click here
Chicago Public Schools: Click here
Chicago Crime Data: Click here
NOTE: Ensure you have downloaded the datasets using the links above instead of directly from the Chicago Data Portal. The versions linked here are subsets of the original datasets and have some of the column names modified to be more database friendly which will make it easier to complete this assignment. The CSV file provided above for the Chicago Crime Data is a very small subset of the full dataset available from the Chicago Data Portal. The original dataset is over 1.55GB in size and contains over 6.5 million rows. For the purposes of this assignment you will use a much smaller sample with only about 500 rows.
Perform this step using the LOAD tool in the Db2 console. You will need to create 3 tables in the database, one for each dataset, named as follows, and then load the respective .CSV file into the table:
CENSUS_DATA
CHICAGO_PUBLIC_SCHOOLS
CHICAGO_CRIME_DATA
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TwitterTags are part of the information, commonly called metadata, that can be added when creating new items, authoring maps and apps, or creating new groups in your organization. They can be added to any item, can be edited, and are a useful way to boost search results and find specific content.Without proper forethought, tagging data will quickly become a subjective process with a mess of inconsistent tags existing within an organization. When sharing data publicly over a multi-organizational open data platform such as the Florida Geospatial Open Data Portal, these tags may be incompatible with tags used by other organizations.This webpage seeks to provide guidance to State of Florida organizations that participate in the Florida Geospatial Open Data Portal by highlighting how tagging data works in the ArcGIS Online platform, providing best practices for getting started tagging data in your own organization, and explaining how tagging works with the Florida Geospatial Open Data Portal.
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TwitterThe Open Data Policy of the Federal Executive Branch, established by Decree No. 8,777 of May 11, 2016, aims to enhance the culture of public transparency by establishing rules for the publication, in open format, of data produced or accumulated by the bodies and entities of the direct, autonomous, and foundational federal public administration. Therefore, like other public transparency initiatives, it advocates access to information as a right of citizens. Open data has the following characteristics: The Open Data Plan is the instrument for planning and coordinating actions for making data available in open format, with a validity of two years from its publication. It is, therefore, the guiding document for actions to implement and promote the opening of data, complying with quality requirements and with a view to ease of understanding and reuse of information. The current Open Data Plan for 2023-2025 is available on the ANTT website, accessible via the link: https://www.gov.br/antt/pt-br/acesso-a-informacao/dados-abertos The ANTT Open Data Portal is the tool made available by ANTT to facilitate the location and use of public data, with opening planned in the Open Data Plans. It is a simplified service that organizes and standardizes access to public data, prioritizing the reuse of this data and the use of modern technologies. In short, it functions as a large catalog that facilitates the search and use of data published by the bodies and entities of the Executive Branch, allowing its reuse in digital applications developed by society. The Portal contains the public data planned for opening in the Open Data Plans. Throughout the validity of the PDA 2023-2025, the following data will be made available, according to the schedule below: The public data from these databases are already available. Improvements will be made in the extraction of data related to the source of origin. *Only changes in nomenclature and description of the "Authorized Projects" database, already available on the Open Data Portal. The Portal will undergo a constant evolutionary process so that the volume of open public data will increase every two years, as new Data Plans are approved by the Board of Directors and published by ANTT. INFORMATIVE NOTE: ANTT informs of the exceptional need to exclude the databases "Road Passenger Transport Vehicles (SisHAB) – tachograph" and "Road Passenger Transport Company (SisHAB)" from the PDA 2023-2025, due to the need to complete the implementation of the new system. The explanatory note is published in the Open Data menu of the Agency's website. Translated from Portuguese Original Text: A Política de Dados Abertos do Poder Executivo Federal, instituída pelo Decreto n° 8.777, de 11 de maio de 2016, tem o objetivo de aprimorar a cultura de transparência pública ao estabelecer regras para publicação, em formato aberto, de dados produzidos ou acumulados pelos órgãos e entidades da administração pública federal direta, autárquica e fundacional. Portanto, a exemplo de outras iniciativas de transparência pública, preconiza-se o acesso à informação como um direito dos cidadãos. Os dados abertos têm as seguintes características: O Plano de Dados Abertos é o instrumento de planejamento e coordenação das ações de disponibilização de dados, em formato aberto, com vigência de dois anos, a contar de sua publicação. Trata-se, portanto, do documento orientador para as ações de implementação e promoção de abertura de dados, obedecidos requisitos de qualidade e com vistas à facilidade de entendimento e a reutilização das informações. O Plano de Dados Abertos vigente entre 2023-2025 está disponível no site da ANTT, acessível pelo link: https://www.gov.br/antt/pt-br/acesso-a-informacao/dados-abertos O Portal de Dados Abertos da ANTT é a ferramenta disponibilizada pela ANTT para facilitar a localização e utilização dos dados públicos, com previsão de abertura nos Plano de Dados Abertos. Ele é um serviço simplificado que organiza e padroniza o acesso aos dados públicos, primando pelo reuso desses dados e o uso de tecnologias modernas. Em síntese, funciona como um grande catálogo que facilita a busca e uso de dados publicados pelos órgãos e entidades do Poder Executivo, permitindo sua reutilização em aplicações digitais desenvolvidas pela sociedade. O Portal contém os dados públicos previstos para abertura nos Planos de Dados Abertos. Ao longo da vigência do PDA 2023-2025, serão disponibilizados os seguintes dados, conforme cronograma abaixo: Os dados públicos destas bases já estão disponibilizados. Será realizado aprimoramento na extração dos dados relacionado à fonte de origem. *Somente alteração de nomenclatura e descrição da base de dados "Projetos Autorizados", já disponível no Portal de Dados Abertos. O Portal passará por um processo evolutivo constante para que o volume de dados públicos abertos seja crescente a cada biênio, à medida que novos Planos de Dados forem aprovados pela Diretoria e publicados pela ANTT. NOTA INFORMATIVA: a ANTT comunica a necessidade excepcional de exclusão das bases de dados “Veículos de Transporte Rodoviário de Passageiros (SisHAB) – cronotacógrafo” e “Empresa de Transporte Rodoviário de Passageiros (SisHAB)” do PDA 2023-2025, em razão da necessidade de conclusão da implantação do novo sistema. A Nota explicativa está publicada no menu Dados Abertos do sítio eletrônico da Agência.
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TwitterThis web page leads to a database of images and information about the 150 major impact craters on Callisto and is updated semi-regularly based on continuing analysis of Voyager images.
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TwitterThis dataset lists suggestions received through the CT Open Data Dataset Suggestion survey here: https://data.ct.gov/stories/s/eivh-c3ze.