ライフサイエンスコーパス: citizen science

1 filling, biodiversity surveys, and improved citizen science).

2 uality monitoring, with strong prospects for citizen science.

3 pplications spanning from onsite analysis to citizen science.

4 and scholars to support ethical practices in citizen science.

5 cean, including the Mediterranean Sea, using citizen science.

6 students, Bard College recently implemented Citizen Science, a common January course for all first-y

7 ta and direct observations of predation from citizen-science across Scotland, we examined the prevale

8 We created Borderlands Science (BLS), a citizen science activity that is seamlessly integrated w

9 ore and more engaged with technology through citizen science and crowd-sourcing, and advances have be

10 Citizen science and eDNA detections were complementary,

11 This study uses citizen science and image feature analysis to profile th

12 of another large-scale monitoring approach (citizen sciences) and estimate a tentative minimum eDNA

13 ensor technologies, rapid impact evaluation, citizen science, and performance-based contracting, such

14 e, social determinants of health (SDoH), and citizen science, and to explore TEK's relevance to envir

15 is study showcases the value and richness of citizen science, and we anticipate that such approaches

16 We used a crowd-sourced, citizen science approach to analyze imaging data to dete

17 Here, we leverage a natural experiment and citizen science approach to evaluate how extending commu

18 In this study, a citizen science approach was used to obtain over 7,000 s

19 To collect these samples, a citizen science approach was used, that engaged local te

20 alled the "Carbohydrate Observatory" using a citizen science approach with ~ 590 sites throughout the

21 To evaluate Isness-D, we adopted a citizen science approach, coordinating an international

22 Using a citizen science approach, we identify a country-wide exp

23 In a citizen science approach, we instructed dog owners acros

24 Maine to highlight how new partnerships and citizen science approaches are building communities of p

25 emonstrated the feasibility of incorporating citizen science approaches into the regional impact asse

26 idnaCSI demonstrates the potential for using citizen science approaches to collect high-quality data

27 nline projects; however, studies of hands-on citizen science are lacking.

28 ystems and provides a framework for engaging citizen science as a component of landscape Hg monitorin

29 respondents recruited through the U.S.-based Citizen Science Association.

30 tudy was to investigate the feasibility of a citizen science-based survey to monitor spatiotemporal v

31 Here we use the largest citizen science biodiversity dataset - eBird - to quanti

32 We integrate citizen science bird monitoring data with recordings of

33 Here, we use a pan-European citizen science bird occurrence dataset (EurobirdPortal)

34 To overcome this, we used a novel citizen science campaign to detect emission changes duri

35 rticipant background experience in designing citizen science campaigns.

36 We tested if crowdsourced citizen science can address this challenge, producing em

37 In this article, we argue that citizen science can help in vector control by boosting s

38 Our findings suggest that hands-on citizen science can produce high-quality data especially

39 on from passive surveillance networks (e.g., citizen science) can be integrated into surveillance str

40 Using citizen science, climate data and experimental climate m

41 The explosive growth in citizen science combined with a recalcitrance on the par

42 This shows the utility of citizen science contributing to our understanding of a m

43 les observed off Nicaragua was combined with citizen science contributions and sightings from dedicat

44 Citizen Science (CS) offers a solution by engaging non-s

45 has not been fully realized, in part because citizen science data are typically not widely shared and

46 se findings illustrate that globally-sourced citizen science data can elucidate key trade-offs among

47 The system can be used as a citizen science data collection device, research equipme

48 y greenness from repeat digital photography, citizen science data from the USA National Phenology Net

49 t geographic scales in the United States and citizen science data on 45,067 shoreline cleanups, we as

50 Social network analysis of continent-scale citizen science data on frog calling behavior revealed t

51 iNaturalist is one of the most popular citizen science data portals, where users record encount

52 We use Internet query data and citizen science data to characterize public interest in

53 We combined satellite and citizen science data to estimate rates of change in phen

54 address this research gap using broad-scale citizen science data to quantify intraspecific variabili

55 ocial networks constructed from GPS data and citizen science data were highly correlated, suggesting

56 nst the indiscriminate non-supervised use of citizen science data, AI and machine learning models.

57 ccupancy models with interactions, fitted to citizen science data, to estimate the contribution of in

58 Using 20 years of continent-wide citizen science data, we assess population trends of ten

59 Using citizen science data, we show that both declines were dr

60 y that also includes a substantial amount of citizen science data.

61 Western-Hemisphere bird species using eBird citizen science data.

62 pecies using natural history collections and citizen science data.

63 the use of benthic animal-borne sensors and citizen-science data for ocean model validation, broaden

64 However, for all the benefits, collection of citizen-science data is often biased towards areas that

65 mic planting recommendations driven by live (citizen science) data, with the possibility to specify p

66 range maps, IUCN Red List data and the eBird citizen science database.

67 Here we leverage a massive global citizen-science database to determine how biotic and abi

68 Here we leverage a large citizen science dataset paired with high-resolution nois

69 predicting bird counts in local subsets of a citizen science dataset, eBird, based on model selection

70 e-study we examined the composition of three citizen science datasets - from Greenspace Information f

71 To achieve this, we integrate citizen science (eBird) observations with 21 years of we

72 applications in public health, taxonomy and citizen-science efforts.

73 unselected samples via remote, online, and "citizen science" efforts that take a dimensional, mechan

74 Age, birding expertise, and previous citizen science experience had the greatest impact on pa

75 Moreover, INCREASE will test, with a citizen science experiment, an innovative system of cons

76 S data that were gathered in the course of a citizen-science experiment(3,4).

77 we analysed species occurrence records from citizen science for over 800 broadleaf woodland-associat

78 d PCR, which validated the approach of using citizen science for scat collection and viability for mo

79 the small molecule design mode of the online citizen science game Foldit.

80 facilitated by a novel game-first design of citizen science games, in which the game design aspect h

81 We compare the citizen science-generated data with algorithm-mined data

82 Citizen science gives rise to unique ethical issues that

83 Citizen science has proved to be a unique and effective

84 5-small, YOLOv7-tiny), previously trained on citizen science images, for detecting ~ 1,300 flower-vis

85 ovide evidence for the efficacy of utilizing citizen science in research, as the broader impact of th

86 olution occurrence data from eBird, a global citizen science initiative, and dynamic species distribu

87 This study used a 'self-blinding' citizen science initiative, where participants were give

88 sing the World Community Grid, a large-scale citizen science initiative.

89 mplemented in endemic communities as part of citizen science initiatives to control Chagas disease tr

90 , this approach, especially if combined with citizen science initiatives, could underpin the developm

91 cleaning local environments, and engaging in citizen science initiatives.

92 n and implementation of future crowd-sourced citizen science initiatives.

93 h to state and tribal governments as well as citizen science initiatives.

94 ird, insect, and plant diversity (e.g., from citizen-science initiatives).

95 Citizen science is a research tool capable of addressing

96 Citizen science is proving to be an effective tool to tr

97 Citizen science is public participation in scientific re

98 roving equality, inclusivity, and diversity, citizen science is woefully anachronistic in its name.

99 ection of allergic rhinitis symptom data by 'citizen science' is feasible and has an added value in s

100 'Citizen science' is increasingly recognized as an effect

101 rtunistic nature of biological recording via citizen science leads to taxonomic, spatial and temporal

102 , as well as the potential synergies between citizen science, manual biocuration and natural language

103 l-borne tags, passive acoustic telemetry and citizen-science mark-recapture records from 2016-17 for

104 r populations with interrogation of national citizen science monitoring datasets to assess the potent

105 Here, we report findings from a citizen science monitoring program aimed to understand t

106 We use a national citizen science monitoring scheme to quantify how agricu

107 We used 27 years of citizen science monitoring to quantify trends in phenolo

108 led that EchidnaCSI served as a gateway into citizen science more generally for many participants.

109 nfly larvae as biosentinels, by developing a citizen-science network to facilitate biological samplin

110 g-term data from standardized monitoring and citizen science observation schemes to compare yearly ph

111 s from California paired with half a million citizen science observations that can map the distributi

112 y increase discoverability and confidence in citizen science observations, encouraging scientists to

113 Citizen-science observations of Pachydiplax longipennis

114 76 cool-adapted moths in Great Britain using citizen science occurrence records from the National Mot

115 hotography combined with natural history and citizen science offers an interdisciplinary way to docum

116 ecies, opening a new avenue for standardized citizen science on bird biodiversity surveys worldwide.

117 Computer vision models, trained on clear citizen science photos, can detect insects in similar im

118 intering records from 2000 to 2024 using the citizen science platform eBird.

119 the number of observations submitted to the citizen science platform iNaturalist continues to grow,

120 case studies from Zooniverse, a large online citizen science platform, and show that combining human

121 across the disciplines, it is essential that citizen science platforms leverage the complementary str

122 r algorithms can be integrated with existing citizen science platforms that enable the public to reco

123 currence records of 30 species obtained from citizen science platforms, open-access repositories, soc

124 kin observations from Project FeederWatch, a citizen science program, reveals two principal irruption

125 a from Project FeederWatch, an international citizen science program, we quantified spatiotemporal ch

126 able Escherichia coli (E. coli) as part of a citizen science program.

127 ta (6429 records) gathered through a UK-wide citizen science programme (BeeWatch) to determine food p

128 We used data gathered by three large-scale citizen science programmes in the UK to provide the most

129 ructured, designed surveys and opportunistic citizen science programs) in a unified analytical framew

130 nical gardens have grown their community and citizen science programs, informing the public about cli

131 heir Syrphidae mimics based on a large-scale citizen science project and demonstrate that there is no

132 nce covaried with fertility probability in a citizen science project spanning 14 countries and 4 worl

133 Here, we conducted a citizen science project that involved more than 3500 Swe

134 invasion history of P. rapae, we developed a citizen science project, the "Pieris Project," and succe

135 cy water quality measurements initiated by a Citizen Science project, together with machine learning

136 e River Chess in South-East England during a Citizen Science project.

137 Conservation Science Initiative (EchidnaCSI) citizen science project.

138 ile phone app, a multi-species environmental citizen science project.

139 tors are likely to donate to a crowd-sourced citizen science project.

140 erned about the quality of data generated by citizen science projects and failure of projects to shar

141 The study provides strong evidence that citizen science projects can help broaden our understand

142 Citizen science projects have a long history in ecologic

143 Citizen science projects have the potential to advance s

144 We use data from two associated citizen science projects in order to determine whether t

145 Online citizen science projects such as GalaxyZoo(1), Eyewire(2

146 Citizen science projects that monitor air quality have r

147 We used data from two citizen science projects, based on observations of birds

148 ionals collect data as part of environmental citizen science projects, collecting wildlife observatio

149 ults in the context of a meta-analysis of 54 citizen science projects.

150 Citizen-science projects can provide numerous benefits f

151 Community science (i.e., citizen science) provides opportunities for semi-structu

152 montane regions, using more than 4.4 million citizen science records from eBird to define species' el

153 We used 3.6 million fine-scale citizen science records from eBird to measure species' p

154 "Citizen science" refers to the participation of lay indi

155 cation 'Wingtags', we collected over >27,000 citizen science reports of wing-tagged cockatoos, and bu

156 rea and the considerable engagement value of citizen science research.

157 n this study, we analyzed a novel dataset of citizen science riverbank macrolitter observations in th

158 s distribution models powered by millions of citizen science sightings of birds to determine how a co

159 GIS) assessed with six recent multi-evidence citizen-science sightings of the GGOW.

160 IGN, SETTING, AND PARTICIPANTS: The COVID-19 Citizen Science Study, an online cohort study, includes

161 his cohort study used data from the COVID-19 Citizen Science Study, launched in March 2020, which rec

162 d account for small scale sampling biases in citizen science surveillance.

163 In species richness studies, citizen-science surveys where participants make individu

164 ce records with data from the Mosquito Alert citizen science system to explore the ways in which the

165 f human-machine integration within an online citizen science system, we then explore in detail how sy

166 or a participatory research framework (e.g., citizen science) that can accelerate task development as

167 While there are many definitions of citizen science, the term usually refers to the particip

168 s of our review, and to advance the field of citizen science to address health equity, we recommend (

169 To address these issues, we used web-based citizen science to assess music perception skill on a gl

170 Our study takes advantage of this to use citizen science to collect observations of wing-tagged s

171 Our findings highlight the utility of citizen science to measure social networks in urban spec

172 Variety recommendations derived from the citizen science trials led to important differences with

173 Citizen science video games are designed primarily for u

174 Here, using a citizen science website, we collected over 2,000 session

175 usands of images of Physalia uploaded to the citizen-science website inaturalist.org and identified f

176 d spatiotemporal abundance peaks revealed by citizen science, which also suggested an echo effect of

177 over 3,000 bird species, reduces barriers to citizen science while generating tens of millions of bir

178 at integrating public earth observations and citizen science with deep learning can pave the way towa

179 Overall, this approach combines citizen science with scientific observations and reveals