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649 results for “Citizens”
Estimating the carbon footprint of citizen science biodiversity monitoring
<p>Datasets used in the production of the paper Gillings, S. & Harris, S.J. 2022. Estimating the carbon footprint of citizen science biodiversity monitoring. People & Nature.</p> <p>The dataset comprises a) the estimated round-trip distances from approximate locations of observers to survey locations for the UK Breeding Bird Survey and b) questionnaire responses concerning mode of travel used to access survey locations. Data have been anonymised and locations have been coarsened to preserve anonymity.</p> <p>We would also greatly appreciate if you could fill out <a href="https://forms.gle/DCc58VXpdmqnTmTk8" target="_blank" rel="noopener">this very short form</a> to tell us how you intend to use these data. Thanks in advance!</p> <p> </p> <p> </p>
CSI-COP Dataset of Organisations to Approach in Citizen Science Projects
<p>This dataset complements CSI-COP project deliverable D2.3 report: '<strong>Framework for Engaging Citizen Scientists</strong>'.</p> <p>The D2.3 deliverable was produced in 2020 by partners in CSI-COP work package 2 led by <strong>Professor Olga Stepankova </strong>of Czech Technical University, Prague (<strong>CTU</strong>).</p> <p>The Stepankova et al. (2020) report is available on this Zenodo platform here:</p> <p><a href="https://zenodo.org/record/4066515#.Yrx9DezMLb0">https://zenodo.org/record/4066515#.Yrx9DezMLb0</a></p>
TIME4CS WP4 Mapping of citizen science training resources
<p>This dataset was compiled as part of the TIME4CS project, WP4, and lists identified citizen science training resources, as of July 2022.</p> <p>The <a href="https://eu-citizen.science/">EU-citizen.science</a> platform provided the basis for mapping CS training in Europe, as the team behind the platform has put considerable effort into compiling, and encouraging the CS community to contribute, CS training resources. Additionally, training courses were identified based on the case studies in WP1, as most universities do not list their courses on the EU-citizen.science platform.</p>
Unprocessed data from the Jungle Weather Zooniverse citizen science project
<p>The <a href="https://www.zooniverse.org/projects/khufkens/jungle-weather">Jungle Weather project</a> aimed to transcribe weather observations recorded between 1949 and 1958 in the tropical rainforest of the Democratic Republic of the Congo. Long-term observations of tropical weather are rare. The Jungle Weather, as part of the COBECORE project, contains observations of three decades of data of weather in the central African tropical forest, and are therefore an extraordinary source of information to support our understanding of for example drought resilience of trees species.</p> <p><strong>Summary</strong></p> <p>Both input and output of the citizen science transcriptions are provided in this data set. This includes the original cut-outs as used in the Zoonivese project, and the output as generated by the Zooniverse data export routines. The data export routines provided CSV output with JSON subfields on the content of each classification made. In addition, we provided the exported subject list and the details of each workflow.</p> <p>In total the project output constitutes of four files:</p> <ul> <li>transcribe-climate-data-classifications.csv (annotations of the table cells)</li> <li>transcribe-meta-data-classifications.csv (annotations of table headers)</li> <li>jungle-weather-workflows.csv (description of the citsci workflow)</li> <li>jungle-weather-subjects.csv (list of all images transcribed, and their online location for validation / referencing)</li> </ul> <p>and roughly ~3GB in data volume.</p> <p><strong>Context</strong></p> <p>Our understanding of forest ecosystem responses to climate change relies on consistent long-term observations to provide baseline measurements. In the central Congo Basin established long-term observation programs are rare. In terms of meteorological observations, the central Congo Basin is currently represented by only a few rain gauges, limiting climate forecasts across the Congo Basin and the central African continent. This lack of long-term (historical) climatological data leaves the central Congo Basin spatially and temporally under-represented. However, old climate records could provide valuable information about previous growing conditions of the forest.</p> <p>Large amounts of ecological and climatological data, approximately five decades (~1910 – 1960), exists as unexplored heritage, stored in various Belgian federal archives and collections. As part of a larger project called Congo Basin eco-climatological data recovery and valorization (COBECORE, see) the Jungle Weather project will help transcribe historical climatological data as measured throughout the Congo Basin. These data will in part complement the completed <a href="https://www.zooniverse.org/projects/khufkens/jungle-rhythms">Jungle Rhythms Zooniverse project</a>, further valorizing these transcribed data.</p> <p><strong>Historical data</strong></p> <p>Within this project we will focus on data records as recorded throughout the tropical part of what is currently the Democratic Republic of the Congo (DRC). The area which we will cover is shown above in the map as an open polygon. The project will not cover the southern province of Katanga (red crosshatches) as this area transitions here from tropical to a humid subtropical climate.</p> <p>The historical data is archived and stored in the Belgian State Archives. The Belgian State Archive harbour almost all data regarding colonial affairs, ranging from communications about trade to the raw data as digitized within the context of the Jungle Weathers project. Row upon row of data is stored in the basement. Below you see a part of the INEAC (Institut National pour l’Etude Agronomique du Congo belge) archive, which holds all climatological records.</p> <p>These climatological records were noted rigorously on carbon copy paper. However, due to the hand written nature of the data (and the volume involved) automated processing is not possible. Although optical character recognition (OCR) works wonderfully on printed data the high variability in characters and the low contrast pencil markings contribute to the failure of current automated approaches. Similar to the <a href="https://www.oldweather.org/">Old Weather project</a> and in spirit of the Jungle Rhythms project, a keen eye is required to decipher the numbers written down on these sheets.</p> <p><strong>Pre-processing / digitization</strong></p> <p>The project provided citizen scientists with digital pictures of the original sheets. Scanning these climate data sheets was a laborious process. In total more than 70 000 records were digitized. Unlike the Old Weather project we did not require citizen scientists to outline valid sections of the sheet. This part of the processing has been automated. We refer to our<a href="https://doi.org/10.5281/zenodo.3378864"> Jungle Weather pre/post-processing repository </a>for more details and example code</p> <p>As such, once digitized and properly aligned the whole record was divided into an estimated 30 million cells and 70 000 header files. Below you find an example of a header file and a table cell. During the Jungle Weather project we selected a subset of ~300K table cells for transcription in efforts to validate further Machine Learning based, automated, transcriptions approaches. All data were transcribed by citizen scientists in the spring/summer of 2020.</p> <p><strong>Notes</strong></p> <p>The provided data is raw data, and expert knowledge is required for the correct interpretation of this data. Please contact the authors for the proper context if you are interested in using this data in your project.</p>
Birdwatching, eBird and citizen science in India: qualitative interviews with participants, practitioners and ecologists
<h1>Abstract</h1> <p>This study consists of qualitative interviews about birdwatching, citizen science, and the use of the birdwatching data platform <em>eBird </em>in India. Interview partners are birdwatchers, citizen science practitioners, and ecologists who have used eBird data. Some of the main topics covered include: the nature of the birdwatching community and styles of birdwatching in India; the history of the adoption of eBird in India; the value of birdwatching and citizen science; challenges involved in conducting or participating in citizen science; opportunities and limitations of using data from eBird and citizen science; processes of data collection and quality control in eBird; and ecological research, conservation priorities, and environmental activism in India. This study is part of the project A Philosophy of Open Science for Diverse Research Environments (PHIL_OS).</p> <h1>Methods</h1> <p>The data in this study was collected using semi-structured qualitative interviews.</p> <p>Interview partners were recruited by snowball sampling through their engagement with eBird India and related organisations. There were 17 interview partners, interviewed either once or several times. 19 interviews were conducted in total.</p> <p>Interview guides/questionnaires were designed for each interviewee depending on their status as birdwatchers, citizen science coordinators, and eBird data users.</p> <p>Interviews were conducted between April 2022 and June 2023. The interviews took place online using Zoom videoconferencing software. Interviews lasted 35-70 minutes. When participants provided their written consent, interviews were audio-recorded and transcribed smart verbatim using otter.ai and manual proofreading. Sensitive information was removed before publishing transcripts.</p> <p>Transcripts were analysed using semi-grounded coding. Codes were organised into parent codes using an inductive approach based on emergent categories.</p> <h1>Description of the data and file structure</h1> <p>Documentation files include interview guides, the information sheet and consent form, ethics approval, and the data narrative. Documentation files are named according to the structure: authorname_filename_DOCUMENTATION.</p> <p>Data files consist of a summary of participants, 17 of the interview transcripts, and a code list. Interview transcript files are named according to the structure: authorname_interviewnumber_date.</p> <p>A full list of files is provided in the README file.</p> <h1>Notes</h1> <p>This study was conducted as part of the project A Philosophy of Open Science for Diverse Research Environments (PHIL_OS). More information can be found at <a href="https://opensciencestudies.eu/">https://opensciencestudies.eu</a></p> <p>This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No. 101001145).</p>
Survey of Citizen Scientists
<p>This dataset reports on a survey on the overall experiences of a citizen scientist population, mainly in Europe. Dimensions investigated include activities undertaken, knowledge of open science concepts, and data practices.</p> <p>This version (v3) is translated into english.</p> <p>The corresponding publication for this dataset is:</p> <p>O’Grady, M., Mangina, E. Citizen scientists—practices, observations, and experience. <em>Humanit Soc Sci Commun</em> <strong>11</strong>, 469 (2024). https://doi.org/10.1057/s41599-024-02966-x</p>
From social categorization to implicit citizenship theories: Advancing the socio-cognitive foundations of state–citizen interactions
<p>Data for the following article: Vogel, R., Vogel, D., Liegat, M. C., & Hensel, D. (2024). From social categorization to implicit citizenship theories: Advancing the socio‐cognitive foundations of state–citizen interactions. Public Administration Review, Article puar.13844. Advance online publication. https://doi.org/10.1111/puar.13844</p>
Deliverable 1.2: Collection of national reports on the citizens' future visions
<p>This deliverable presents the 30 national reports on the citizens’ future visions from the National Citizen Vision Workshops (NCVs), held as a part of the CIMULACT project.</p> <p>The main objective of CIMULACT is to add to the relevance and accountability of the European Research & Innovation (R&I) agenda by engaging citizens and multi-actors in the actual formulation of the European Union’s R&I agenda. The NCVs contributed to this process by engaging citizens in formulating their visions for a desirable and sustainable future.</p> <p>Over a three month period (November 2015 until January 2016) 30 NCVs were held in 30 European countries (28 EU member states, as well as Switzerland and Norway). At each NCV citizens met for a full day to formulate and debate their visions for desirable and sustainable futures. All together 179 visions were formulated during the NCVs by more than 1000 citizens.</p> <p>The national reports on the citizens’ future visions each includes a summary of the NCV process and presents the original and unedited visions (raw visions and six<a href="#_ftn1">[1]</a> final visions) for each country. In addition, all reports include information on participant data. The summaries and the final visions are to be found in the national language and translated into English.</p> <p>The national reports on the citizens’ future visions offer a unique opportunity to identify the European citizens’ wishes, needs and demands for a sustainable and desirable future. The reports may inspire and give input to experts, policy- and decision makers all over Europe, hereby enhancing Responsible Research and Innovation (RRI) in the European Union.</p> <p>In the following, we introduce the necessary background information on how to read the national reports and interpret the visions. In addition we give a resume of the methodology and the NCV process. A deeper analysis of the results is to be found in Deliverable 1.3 –Vision Catalogue and Devliverable 2.1 –First draft of the societal needs research programme scenarios. </p> <p>CIMULACT is a three-year project funded by the Horizon 2020 Framework Program of the European Union. The project began in June 2015.</p> <p> </p> <p><a href="#_ftnref1">[1]</a> Ireland is an exception, since this country only formulated 5 visions.</p>
Aurorasaurus Real-Time Citizen Science Aurora Data
<p>Aurorasaurus citizen science data is a collection of auroral sightings submitted to the project via its website (aurorasaurus.org) or apps and mined from social media. It is a robust data set and particularly abundant during strong geomagnetic storms. This data is offered to the scientific community for research use through an open-access database in its raw and scientific formats for the 2015-2016 period, each of which is described in detail in the following technical report:</p> <p>Kosar, B. C., MacDonald, E. A., Case, N. A., & Heavner, M. (2018). Aurorasaurus Database of Real‐Time, Crowd‐Sourced Aurora Data for Space Weather Research. <em>Earth and Space Science</em>, <em>5</em>(12), 970-980.</p> <p>For more information on the project, please contact the project leaders at aurorasaurus.info@gmail.com.</p> <p> </p>
Citizen Science projects in Argentina
<p>Citizen science activities recognized in Argentina.</p> <p>The code for the Actions column are: </p> <ul> <li>e -Collect <p>c - Hypothesis design</p> <p>d - Design collection strategies</p> f - Sample analysis</li> <li>g - Data analysis <p>h - Generate conclusions</p> <p>j - Generate new questions</p> k - Digitalization <p>i - Disseminate conclussions</p> </li> </ul>
AirHeritage Datalake: Multi-site, Multi-season, Multi Unit dataset including Fixed and Mobile Citizen science data from networked Air Quality Low-Cost Multi-Sensors devices and reference stations
<p>This datalake comprises several datasets from <strong>37 networked low cost air quality multisensors</strong> (<strong>30</strong> <strong>mobile</strong> ENEA MONICA(tm) + <strong>7</strong> <strong>fixed</strong>) along with <strong>3</strong> (fixed) + <strong>1</strong> (mobile) <strong>reference stations</strong> operated by Campania Regional Envronmental Protection Agency. The datalake is organized in 3 main directories respectively related to fixed nodes, mobile nodes and nearby reference stations including a mobile laboratory used for colocation campaigns; each subdirectory include its own metadata description file.</p> <p>Data, curated by Energy and Data Science Laboratory of ENEA, include multi-weeks colocation periods when low cost devices have been colocated with reference stations as well as operational periods during which sensors are deployed for fixed or mobile monitoring campaigns. Data have been recorded during 2021 and 2022 in a<strong> pervasive, multi-site, multi-seasonal deployment</strong> in Portici, a densely populated small area city (4km2, 55k + inhabitants) located 7km south of Naples, Italy.</p> <p>The datalake consists in actual sensors and reference intrumentations timeseries along with metadata description files with deployment dates and location data. The dataset files include high sampling frequency raw sensor data of quality-controlled sensor network along with co-located reference stations data sets. Sensor data include electrochemical sensors data (intended target pollutants: NO2, O3, CO), Optical sensor data (PM2.5, PM10, PM1) readings along with meteorological parameters. .</p> <p>Further description of sensors and reference instruments are reported in the accompanying paper (see citation request).</p> <p>The dataset can be used for </p> <ul> <li> <strong>advanced (remote/universal/in field) data driven calibration strategies</strong> test or development including <strong>machine learning </strong>models</li> <li><strong>mobile opportunistic data fusion</strong> methods development</li> <li><strong>geomatics and data assimilation</strong> models studies</li> </ul> <p>as well as low cost sensor characterization performance studies. </p>
Participant survey data from the citizen science project FLOW, 2021
<p>This dataset is linked to the following publication:</p> <p>von Gönner, J., Masson, T., Köhler, S., Fritsche, I., Bonn, A. (in press): Citizen science promotes knowledge, skills and collective action to monitor and protect freshwater streams. People and Nature.</p> <p> </p>
Survey on the social impact of the citizen science in the projects LIFE MIPP and InNat
<p>The present dataset consists in a sociological survey addressed to the volunteers involved in MIPP and InNat projects, a citizen science initiative aimed at the collection of distribution data of protected species and habitats all over Italian national territory. In particular, two different files are provided: </p> <ol> <li>the original survey (questions and answers) addressed to the volunteers in Italian</li> <li>the English translation of the questionnaire </li> </ol> <p>The survey covers different topics: socio-demographic data (section 1), opinions on the role of volunteering in a citizen science project (section 2), possible previous citizen science experience (section 3), test on the acquired skills on the monitored insect species with MIPP/InNat (section 4), opinions concerning the ecological crisis and the trust in the ability of humankind to solve environmental issues (section 5), possibility to be further contacted for additional interviews (section 6).</p> <p>A total of 364 completed questionnaires have been collected and relative results are provided here. Moreover, the above-mentioned results are thoroughly investigated and analysed in a scientific paper which also explores drivers that might keep volunteers active in a biodiversity monitoring project. Indeed, the engagement of volunteers in citizen science projects is a remarkable issue to address in order to ensure long-term sustainability, scientific relevance and public participation.</p> <p>The MIPP/InNat initiative started in 2012, with the project MIPP “Monitoring of insects with public participation” (LIFE11 NAT/IT/000252) which ended in 2017, and was then continued by the InNat project thanks to Italian National fundings. Data gathered in both projects converged in the same database. This research was supported by the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.4 - Call for tender No. 3138 of 16 December 2021, rectified by Decree n.3175 of 18 December 2021 of Italian Ministry of University and Research funded by the European Union – 1034 of 17 June 2022 adopted by the Italian Ministry of University and Research, CUP B83D21014060006, Project title “National Biodiversity Future Center” – NBFC.</p>
Diaspora Policies, Consular Services and Social Protection for Swiss Citizens Abroad
<p>Overview of the policies of Swiss institutions in their dealings with Swiss abroad, with<br> a specific focus on the area of social protection.</p> <p>List of interviews, codebook along DDI standard in pdf and xml version.</p>
Visualization and perception of data gaps in the context of Citizen Science projects: Gradation of Reporting Activity
<p>Online experiment about the influence of different numbers of levels of representation of reporting activity (total number of reports for all birds in the given time span and region) on proportion of correct responses and subjective evaluation of the task (NASA-TLX). Effects of representation with three (3) levels and effects of representation with five (5) levels are investigated. Two groups of members of ornitho.de were tested: experts - persons with access to database (more than 10 reports per month in average) and novices - persons without access to database (less than 10 reports per month in average). Two different tasks were given. The evaluation of statements on a map and the selection of grid fields that met a given requirement.</p>
Visualization and perception of data gaps in the context of Citizen Science projects: Video tutorial support
<p>Online experiment about the influence of the availability of a video tutorial on proportion of correct responses and subjective evaluation of the task (NASA-TLX). Two different tasks were given. The evaluation of statements on a map and the selection of grid fields that met a given requirement.</p>
The arrival and spread of the European firebug Pyrrhocoris apterus in Australia as documented by citizen scientists
<p>Data and R script to reproduce analyses conducted in <strong>The arrival and spread of the European firebug <em>Pyrrhocoris apterus</em> in Australia as documented by citizen scientists</strong></p> <p><strong>Abstract</strong></p> <p>We present evidence of the recent introduction and quick spread of the European firebug <em>Pyrrhocoris apterus</em> in Australia, as documented on the citizen science platform iNaturalist. The first public record of the species was reported in December 2018 in the City of Brimbank (Melbourne, Victoria). Since then, the species distribution has quickly expanded into 15 local government areas surrounding this first observation, including areas in both Metropolitan Melbourne and regional Victoria. The number of records of the European firebug in Victoria has also seen a substantial increase, with a current tally of almost 100 observations in iNaturalist as of July 31<sup>st</sup>, 2021.</p> <p>The case of the European firebug in Australia adds to the list of examples of citizen scientists playing a key role in not only early detection of newly introduced species but in documenting their expansion across their non-native range. Citizen science presents an exciting opportunity to complement biosecurity efforts carried out by government agencies, which often lack resources to sufficiently fund detection and monitoring programs given the overwhelming number of current and potential invasive species. Recognising and supporting the invaluable contribution of citizen scientists to science and society can help reduce this gap by: (1) increasing the number of introduced species that are quickly detected; (2) gathering evidence of the species’ early expansion stage; and (3) prompting adequate monitoring and rapid management plans for potentially harmful species.</p> <p>Given the range expansion patterns of the European firebug worldwide, their adaptation ability, and future climate scenarios, we suspect this species will continue expanding beyond Victoria, including other parts of Australia, New Zealand, and the South Pacific. We firmly believe that most of the knowledge about how this expansion process continues to happen will be provided by citizen scientists.</p>
Sustainable Development Goals (SDG) in citizen science - Dataset
<p>The assignment results of SDGs to CS project descriptions are provided in the following dataset. The analysis was conducted based on data retrieved from the CSTRack database on 2022/09/15. </p> <p>See further detail about the study in D2.2 section 7.3.</p> <p><strong>Content and grouping: </strong></p> <ul> <li> <p>The dataset contains the following details: Platform ID (from which platform the CS project descriptions were retrieved), Project Title (Name of the CS project), SDG assignment results (More details about the assignment technique can be found in D3.2 ‘Web Analytics Toolset and Workbench’ - ESA backend), SDG assignment reported in section 7.2 of D2.2 (which only considered the SDG assignment with the highest similarity).</p> </li> </ul>
Research areas in citizen science - Dataset
<p>The dataset contains the following details:</p> <ul> <li>Platform ID (from which platform the CS project descriptions were retrieved)</li> <li>Project Title (Name of the CS project)</li> <li>Research area assignment results (More details about the assignment technique can be found in D3.2 ‘Web Analytics Toolset and Workbench’ - ESA backend)</li> <li>Research Area assignment reported in section 7.2 of D2.2 (which only considered the research area assignment with the highest similarity)</li> <li>Sub research area assignment ((which only considered the sub research area assignment with the highest similarity)</li> </ul>
Report on a Survey among Organisers of Citizen Science Projects - Dataset and Report
<p>In this publication you will find the report on a survey among organisers of citizen science projects developed by Michael Strähle & Christine Urban (alphabetical order), Wissenschaftsladen Wien - Science Shop Vienna. You will also find, the datasets which contain the responses obtained from the very short questionnaire "VSQ" and the responses used for the report.</p>
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