Reference health
PNW-Cnet: An evolving convolutional neural network to support broad-scale passive acoustic monitoring
33/33 checkable references clean · checked 2026-08-30
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
23 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 33 checked references that resolve
resolves10.1002/ecs2.4421
Using passive acoustic monitoring to estimate northern spotted owl landscape use and pair occupancy
resolves10.1111/j.1365-2664.2011.01993.x
Acoustic monitoring in terrestrial environments using microphone arrays: applications, technological considerations and prospectus
resolves10.1007/s10530-023-03244-8
Passive acoustic monitoring and automated detection of the American bullfrog
resolves10.1002/eap.1954
Autonomous sound recording outperforms human observation for sampling birds: a systematic map and user guide
resolves10.1111/2041-210X.13811
Integrated community occupancy models: A framework to assess occurrence and biodiversity dynamics using multiple data sources
resolves10.1016/j.ecolind.2024.112016
Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species
resolves10.1093/condor/duaa017
Passive acoustic monitoring effectively detects Northern Spotted Owls and Barred Owls over a range of forest conditions
resolves10.1016/j.biosystems.2024.105296
An exploration of ecoacoustics and its applications in conservation ecology
resolves10.5751/JFO-00330-940401
Passive acoustic recorders increase White-headed Woodpecker detectability in the Blue Mountains
resolves10.1111/2041-210X.13101
Emerging opportunities and challenges for passive acoustics in ecological assessment and monitoring
resolves10.5751/ACE-01114-120214
Recommendations for acoustic recognizer performance assessment with application to five common automated signal recognition programs
resolves10.1111/2041-210X.14196
OpenSoundscape: An open‐source bioacoustics analysis package for Python
resolves10.3389/ffgc.2022.966978
Integrating new technologies to broaden the scope of northern spotted owl monitoring and linkage with USDA forest inventory data
resolves10.1098/rsif.2019.0225
Automated bioacoustics: methods in ecology and conservation and their potential for animal welfare monitoring
resolves10.3389/fbirs.2024.1380636
All thresholds barred: direct estimation of call density in bioacoustic data
resolves10.1111/2041-210X.14031
Can CNN‐based species classification generalise across variation in habitat within a camera trap survey?
resolves10.1111/2041-210X.13905
A continuous‐score occupancy model that incorporates uncertain machine learning output from autonomous biodiversity surveys
resolves10.1111/1365-2435.14275
Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions
resolves10.1002/rse2.125
Automated identification of avian vocalizations with deep convolutional neural networks
resolves10.1073/pnas.2315933121
Large-scale avian vocalization detection delivers reliable global biodiversity insights
resolves10.1111/2041-210X.13438
SAFE Acoustics: An open‐source, real‐time eco‐acoustic monitoring network in the tropical rainforests of Borneo
resolves10.1111/2041-210X.13103
Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge
resolves10.3354/meps08123
Management and research applications of real-time and archival passive acoustic sensors over varying temporal and spatial scales
The 23 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref2
no DOI — not checkedref3
no DOI — not checkedDeveloping custom computer vision models with Njobvu-AI: A collaborative, user-friendly platform for ecological research
no DOI — not checkedImproving distribution data of threatened species by combining acoustic monitoring and occupancy modelling
no DOI — not checkedComparing the sampling performance of sound recorders versus point counts in bird surveys: a meta-analysis
no DOI — not checkedref14
no DOI — not checkedref17
no DOI — not checkedBirdNET: A deep learning solution for avian diversity monitoring
no DOI — not checkedref25
no DOI — not checkedNorthern spotted owl habitat and populations: Status and threats
no DOI — not checkedref29
no DOI — not checkedref30
no DOI — not checkedref35
no DOI — not checkedWorkflow and convolutional neural network for automated identification of animal sounds
no DOI — not checkedref42
no DOI — not checkedWestern screech-owl occupancy in the face of an invasive predator
no DOI — not checkedref46
no DOI — not checkedClassification of animal sounds in a hyperdiverse rainforest using convolutional neural networks with data augmentation
no DOI — not checkedref51
no DOI — not checkedUsing mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends
no DOI — not checkedref54
no DOI — not checkedSimulated soundscapes and transfer learning boost the performance of acoustic classifiers under data scarcity
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