Results 101 to 110 of about 10,119 (290)

Citizen Science and Educational Technology for Open Science: An Experience of Co-creating Knowledge with iNaturalist

open access: yesRevista Latinoamericana de Tecnología Educativa
This article describes the implementation of a Citizen Science project focused on the collaborative creation of a field guide to the birds of the campus of the Federal University of Santa Catarina (UFSC).
Beatriz Stella Heltai Lima   +4 more
doaj   +1 more source

Accessing iNaturalist data

open access: yes, 2014
The iNaturalist project is a really cool way to both engage people in citizen science and collect species occurrence data. The premise is pretty simple, users download an app for their smartphone, and then can easily geo reference any specimen they see, uploading it to the iNaturalist website.
openaire   +1 more source

Multifaceted obscurity of Thismia abei (Thismiaceae): A fairy lantern with the protologue long disregarded in practice

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Tiny, leafless fairy lanterns are easily overlooked on the forest floor. Thismia abei, endemic to Japan, persists in small, unstable populations and is listed nationally as Critically Endangered. Our recent work has revealed another, less obvious form of obscurity.
Kenji Suetsugu   +2 more
wiley   +1 more source

An Overview of Computer Vision in iNaturalist [PDF]

open access: yesBiodiversity Information Science and Standards, 2020
iNaturalist is a social network of people who record and share observations of biodiversity. For several years, iNaturalist has been employing computer vision models trained on iNaturalist data to provide automated species identification assistance to iNaturalist participants.
openaire   +1 more source

Deep learning‐based ecological analysis of camera trap images is impacted by training data quality and quantity

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Machine learning image classifiers are increasingly being used to automate camera trap image labelling, but we don't know how much ML model accuracy matters for downstream ecological analyses. Using two large data sets from an African savannah and an Asian dry forest ecosystem, we compared human labelled data with predictions from deep‐learning models ...
Peggy A. Bevan   +12 more
wiley   +1 more source

Home range and core area characteristics of urban and rural coyotes and red foxes in southern Wisconsin

open access: yesWildlife Biology, EarlyView.
Second‐order habitat selection is influenced by a variety of factors, including individual‐ and species‐specific traits and resource requirements, as well as landscape characteristics. By comparing home range characteristics across individuals, species, and landscapes, we can draw conclusions regarding whether and how different factors influence home ...
Morgan J. Farmer   +4 more
wiley   +1 more source

Taxonomic concepts continued: iNaturalist

open access: yes, 2020
Following on from my earlier post ("Taxonomic concepts for dummies"), Beckett Sterner commented: iNaturalist is interesting, but I'm not convinced that it is internally consistent. As a quick rule of thumb, I'm looking for patterns of how name changes relate to taxon identifier changes.
openaire   +1 more source

Relative Habitat Suitability of the Gray Fox (Urocyon cinereoargenteus) in the Central Great Plains 大平原中部灰狐 (Urocyon cinereoargenteus) 的生境相对适宜性

open access: yesWildlife Letters, EarlyView.
Although once abundant across its range, gray foxes (Urocyon cinereoargenteus) are purportedly declining. While range maps indicate that gray fox potentially occur throughout the central United States, contemporary distribution maps are needed. We developed a Habitat Suitability Model for six states, leveraging gray fox presence data in an ensemble ...
Daniel J. Benson   +4 more
wiley   +1 more source

A systematic study of the class imbalance problem in convolutional neural networks

open access: yes, 2018
In this study, we systematically investigate the impact of class imbalance on classification performance of convolutional neural networks (CNNs) and compare frequently used methods to address the issue.
Buda, Mateusz   +2 more
core   +1 more source

02_Démarrage avec iNaturalist - pdf

open access: yes, 2016
Guide on getting started with ...
openaire   +1 more source

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