A database of citizen science projects identified from Wikipedia's List of Citizen Science Projects, SciStarter and contributions from the ACTION consortium members. Updated to include

This document provides a broad description regarding the paper Socio-Hydrology Observatory for Water Security: An initial citizen Science Experience in Brazil (Souza et al., 2020). First, a description of the employed variables allows readers to understand how the task in this experiment was developed and how each question quantifies respective variables. Then, a table with results is provided.

This is the main dataset which consist a list all relevant details of the CS Track database. The database contains information about 4949 Citizen Science (CS) projects extracted for more than 59 websites. This dataset contains the following information from the CS Track database:

• CS projects title
• the data extracted date
• the language of the CS projects informations
• the URL(s) of the website(s) from where the CS projects information was extracted. For other studies developed in CS Track consortium it might be useful to consult this data
• full list of assignments for research areas and SDGs for each CS project.

There are a number of reasons Germans don’t use online administration services. For most, either they don’t know what exactly the online offers are, or the service they are looking for isn’t available online, thus meaning an actual appointment has to be made after all.

Privacy and security concerns

In Germany, e-government procedures have been supported by the e-government law since 2013. Despite this, there are still several serious concerns among the population about data security, which contribute to usage barriers and prevent services for becoming better known, or, indeed, more widely used. The main issues are thought to be lack of security during data transmission and the fear of becoming a transparent citizen due to personal data being collected in one central database. In fact, regarding the topic of personal data being safe online more broadly, the general population was skeptical.

Use and awareness

When Germans did use e-government services, they tended to search for information from their city administrations about current topics on social networks, as well as use open data portals run by an administration. In terms of e-government service awareness, users were least informed about crowd-sourcing deals available for negotiation between citizens and an administration.

Comprehensive dataset of 18,517 Senior citizen centers in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

United Kingdom International Migrations: UK: Balance: All Citizen data was reported at 249.000 Person th in 2016. This records a decrease from the previous number of 332.000 Person th for 2015. United Kingdom International Migrations: UK: Balance: All Citizen data is updated yearly, averaging 182.000 Person th from Dec 1991 (Median) to 2016, with 26 observations. The data reached an all-time high of 332.000 Person th in 2015 and a record low of -13.000 Person th in 1992. United Kingdom International Migrations: UK: Balance: All Citizen data remains active status in CEIC and is reported by Office for National Statistics. The data is categorized under Global Database’s UK – Table UK.G062: International Migration.

This dataset contains the systematic map coded database (Microsoft Excel) in support of the publication in School Science and Mathematics Journal entitled, Citizen science in K-12 school-based learning settings. The dataset contains two excel sheets. The first sheet contains coded records that met the inclusion criteria that were extracted through the systematic mapping process as described in the aforementioned manuscript. Meanwhile, the second sheet contains the records excluded from the systematic map along with their reasons for exclusion. Items coded with ‘NA’ indicate that there was insufficient detail within the extracted records to populate these variables. All extracted manuscripts contained evidence related to both type and level of citizen science.

This resource comprises the databases of responses to the survey on 'motivations in citizen science,' conducted in the context of research on citizen science and the commons.

The following files are included, in addition to a brief descriptive document.

Four documents corresponding to the survey questions, in Spanish and English, in doc and pdf formats.

Six databases corresponding to the survey responses: three databases with all the responses in Spanish and three databases with all the responses in English, in csv, xlsx and ods formats.

The data have been analysed in the article "Science as a commons: motivations for continued participation in citizen science projects" (pending publication).

The authors would like to thank each of the anonymous participants in the survey for their collaboration, as well as to all the individuals and entities that facilitated its dissemination.

Fangstjournalen is a citizen science project for anglers, i.e. recreational fishers using reel and rod. The system collects data when anglers report information from their fishing trips including their catches of fish. When reporting a fishing trip anglers provide information about fishing location, hours fished, target fish species as well as information about catches i.e. species, length or weight, fate (released or harvested), and gear used. We also collect other species-specific data about fish catches, e.g parasites, tags, gender, maturity and much more. Anglers are encouraged to report blank trips, which allow calculations of Catch-Per-Unit-Effort estimates which we use to compare densities of fish between years and fishing sites. Data is being collected via an electronic platform including a browser version and a smartphone app (for android and iPhone). Anglers can also report a range of different observations that they make make during their fishing trip, e.g. presence of large marine mammals, tuna, invasive species and more. Additional entries for observations can be made in the backend of the system, e.g. as part of collaboration projects with other researchers who wish to engage anglers in their citizen science data collection.Upon registration participants are encouraged to fill out entries that support with information about demographics (postal code, gender, age) and angling characteristics (e.g. experience, preferred fishing types, importance of angling as a hobby). This information combined with GPS of fishing sites can provide information about travel patterns. See CSV file for more information about data that is being collected.Data is not shared directly due to content of personal information, but contact Christian Skov, ck@aqua.dtu.dkORCID 0000-0002-8547-6520. He is happy to engage in collaborative projects.See a popular introduction to the Citizen Science project Fangstjournalen here.https://doi.org/10.11581/DTU:00000094

A survey on technologies that contribute to create a distributes system for data management of museum data and citizens' curated data.Underlying data of: Daga, Enrico et al. 2021 "Integrating citizen experiences in cultural heritage archives:requirements, state of the art, and challenges", JOCCH (under publication)

Database for the analysis of the educational role of Citizen Science projects in the framework of Open Science from the paradigm of complex thinking

This document provides a broad description regarding the paper Socio-Hydrology Observatory for Water Security: An initial citizen Science Experience in Brazil (Souza et al., 2019). First, a description of the employed variables allows readers to understand how the task in this experiment was developed and how each question quantifies respective variables. Then, a table with results is provided.

Comprehensive dataset of 0 Senior citizens welfare institutes in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

RIDB is a part of the Recreation One Stop (Rec1Stop) project, initiated as a result of a government modernization study conducted in 2004. Rec1Stop provides a user-friendly, web-based resource to citizens, offering a single point of access to information about recreational opportunities nationwide. The web site represents an authoritative source of information and services for millions of visitors to federal lands, historic sites, museums, and other attractions/resources. Recreation Information Database (RIDB) Application Programming Interface (API) is provided for the purpose of accessing RIDB API endpoints which contain information for federal recreation areas, facilities, campsites, tours, and permits. Federal agencies provide and are responsible for the quality of data contained in the RIDB. Some data may be missing or incomplete. For example, some latitudes and longitudes may be blank. Please be mindful of this when searching for something in particular or applying proximity (radius) filters. Resources in this dataset:Resource Title: RIDB.recreation.gov. File Name: Web Page, url: https://ridb.recreation.gov/ RIDB is a part of the Recreation One Stop (Rec1Stop) project, initiated as a result of a government modernization study conducted in 2004. Rec1Stop provides a user-friendly, web-based resource to citizens, offering a single point of access to information about recreational opportunities nationwide. The web site represents an authoritative source of information and services for millions of visitors to federal lands, historic sites, museums, and other attractions/resources.

Malta Population: Maltese Citizens: End of Year: Women data was reported at 0.204 Person mn in 2016. This records an increase from the previous number of 0.203 Person mn for 2015. Malta Population: Maltese Citizens: End of Year: Women data is updated yearly, averaging 0.193 Person mn from Dec 1985 (Median) to 2016, with 32 observations. The data reached an all-time high of 0.204 Person mn in 2016 and a record low of 0.173 Person mn in 1985. Malta Population: Maltese Citizens: End of Year: Women data remains active status in CEIC and is reported by National Statistics Office - Malta. The data is categorized under Global Database’s Malta – Table MT.G001: Population.

In this research the characteristics of a usable Graphical User Interface (GUI) are determined in the context of a historical database. A GUI is an interface that enables users to directly interact with the content the GUI is build upon and the functionalities the GUI offers. The historical database is about former German citizens residing in the Netherlands, in the process of removing their Enemy of the state status. This status was given by the Dutch government in the aftermath of WWII, as a retribution for the German atrocities during WWII. The operation ended due to resistance amongst the Dutch citizens, after which the citizens could remove their Enemy of the State status. The mockup GUI incorporated the following usable characteristics; giving users the information they seek with justification, clear and useful functionalities of the GUI, simple in its use, and a structured layout. The mockup GUI was evaluated by average internet users, that tested the mockup GUI version interactively and reviewed their experience with usability statements. The mockup GUI was evaluated as good, so the given usable characteristics make the GUI usable.

The current excel file constitutes the INCENTIVE Reporting Database, meaning a repository of the data that were accumulated in WP4 (described within Deliverable 4.1). The results presented here are the main input for the elaboration of Deliverable 4.2 and Deliverable 4.3.

Poland Internet: % of Household: Cities Under 100 000 Citizens data was reported at 81.395 % in 2017. This records an increase from the previous number of 80.600 % for 2016. Poland Internet: % of Household: Cities Under 100 000 Citizens data is updated yearly, averaging 66.061 % from Dec 2004 (Median) to 2017, with 14 observations. The data reached an all-time high of 81.395 % in 2017 and a record low of 28.000 % in 2004. Poland Internet: % of Household: Cities Under 100 000 Citizens data remains active status in CEIC and is reported by Central Statistical Office. The data is categorized under Global Database’s Poland – Table PL.TB002: Personal Computer and Internet Statistics.

Turkey Immigration: Turkish Citizens data was reported at 101,772.000 Person in 2017. This records a decrease from the previous number of 107,052.000 Person for 2016. Turkey Immigration: Turkish Citizens data is updated yearly, averaging 104,412.000 Person from Dec 2016 (Median) to 2017, with 2 observations. The data reached an all-time high of 107,052.000 Person in 2016 and a record low of 101,772.000 Person in 2017. Turkey Immigration: Turkish Citizens data remains active status in CEIC and is reported by Turkish Statistical Institute. The data is categorized under Global Database’s Turkey – Table TR.G007: Migration Statistics.

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