Reference health
Sticky Pi is a high-frequency smart trap that enables the study of insect circadian activity under natural conditions
54/54 checkable references clean · checked 2026-07-25
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.
18 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 54 checked references that resolve
resolves10.1098/rstb.2019.0008
Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation
resolves10.3389/fevo.2017.00007
Behavioral Diversity (Ethodiversity): A Neglected Level in the Study of Biodiversity
resolves10.1038/s41580-019-0179-2
Molecular mechanisms and physiological importance of circadian rhythms
resolves10.1098/rstb.2016.0246
Two sides of a coin: ecological and chronobiological perspectives of timing in the wild
resolves10.1080/07420528.2018.1509867
Time-restricted foraging under natural light/dark condition shifts the molecular clock in the honey bee,
<i>Apis mellifera</i>
resolves10.1051/epjconf/201611922004
Daily Evolution of the Insect Biomass Spectrum in an Agricultural Landscape Accessed with Lidar
resolves10.1177/0748730419869085
Control of Daily Locomotor Activity Patterns in
<i>Drosophila suzukii</i>
by the Circadian Clock, Light, Temperature and Social Interactions
resolves10.1093/ee/nvz161
Diurnal and Seasonal Activity Patterns of Drosophilid Species (Diptera: Drosophilidae) Present in Blackberry Agroecosystems With a Focus on Spotted-Wing Drosophila
resolves10.3897/jhr.78.55026
New records of Leptopilina, Ganaspis, and Asobara species associated with Drosophila suzukii in North America, including detections of L. japonica and G. brasiliensis
resolves10.3390/s21020343
An Automated Light Trap to Monitor Moths (Lepidoptera) Using Computer Vision-Based Tracking and Deep Learning
resolves10.7717/peerj.1168
Non-repeatable science: assessing the frequency of voucher specimen deposition reveals that most arthropod research cannot be verified
resolves10.1111/afe.12383
The importance of trap type, trap colour and capture liquid for catching
<i>Dendrolimus pini</i>
and their impact on by‐catch of beneficial insects
resolves10.1038/s41586-019-1571-y
Daytime colour preference in Drosophila depends on the circadian clock and TRP channels
resolves10.1093/chemse/bjh035
The Response of the Blood-sucking Bug Triatoma infestans to Carbon Dioxide and other Host Odours
resolves10.3390/insects9040147
Odor-Specific Daily Rhythms in the Olfactory Sensitivity and Behavior of Aedes aegypti Mosquitoes
resolves10.1177/0748730403256869
The Circadian Rhythm of the Sex-Pheromone-Mediated Behavioral Response in the Turnip Moth, Agrotis Segetum, is not Controlled at the Peripheral Level
resolves10.1177/0748730412456265
Time of Day Changes in Cyclic Nucleotides Are Modified via Octopamine and Pheromone in Antennae of the Madeira Cockroach
resolves10.1016/0022-1910(95)00060-8
Circadian rhythm of sex pheromone perception in the male American cockroach, Periplaneta americana L.
resolves10.1371/journal.pone.0183464
Predicting forest insect flight activity: A Bayesian network approach
resolves10.1016/j.jspr.2019.03.003
Agro-chronobiology: Integrating circadian clocks /time biology into storage management
resolves10.1016/j.freeradbiomed.2017.12.024
Redox and the circadian clock in plant immunity: A balancing act
resolves10.1073/pnas.1116368109
<i>Arabidopsis</i>
synchronizes jasmonate-mediated defense with insect circadian behavior
resolves10.1016/j.jinsphys.2014.02.013
Time-of-day specific changes in metabolic detoxification and insecticide resistance in the malaria mosquito Anopheles gambiae
resolves10.1371/journal.pone.0218343
Circadian rhythms in insecticide susceptibility, metabolic enzyme activity, and gene expression in Cimex lectularius (Hemiptera: Cimicidae)
resolves10.1073/pnas.2018100118
Better outcomes for pest pressure, insecticide use, and yield in less intensive agricultural landscapes
resolves10.1146/annurev-ento-011019-025143
Balancing Disturbance and Conservation in Agroecosystems to Improve Biological Control
resolves10.1111/1755-0998.12208
Recovery of <scp>DNA</scp> barcodes from blackfly museum specimens (<scp>D</scp>iptera: <scp>S</scp>imuliidae) using primer sets that target a variety of sequence lengths
resolves10.1371/journal.pone.0018749
Barcoding Bugs: DNA-Based Identification of the True Bugs (Insecta: Hemiptera: Heteroptera)
resolves10.1371/journal.pone.0066213
A DNA-Based Registry for All Animal Species: The Barcode Index Number (BIN) System
resolves10.1098/rsbl.2020.0874
Getting science priorities straight: how to increase the reliability of specimen identification?
resolves10.1371/journal.pone.0209331
Rethomics: An R framework to analyse high-throughput behavioural data
resolves10.1016/j.aspen.2019.11.006
Application of an image and environmental sensor network for automated greenhouse insect pest monitoring
The 18 references without a DOI — listed, not checked
no DOI — not checkedLong-term automatic trap data reveal factors affecting diurnal flight patterns of the Mediterranean Fruit fly
no DOI — not checkedDeep learning and computer vision will transform entomology
no DOI — not checkedAutomatic Detection and Monitoring of Insect Pests–A Review
no DOI — not checkedpbio.3001689.ref017
no DOI — not checkedDatasets for Geissmann et al., 2022. Figshare 2022;10.6084/m9.figshare.19764199.v1. doi: 10.6084/m9.figshare.19764199.v1
no DOI — not checkedAdvances in Ecological Research
no DOI — not checkedInsect pest monitoring with camera-equipped traps: strengths and limitations
no DOI — not checkedThe effect of temperature and humidity changes on insects development their impact on forest ecosystems in the expected climate change
no DOI — not checkedpbio.3001689.ref051
no DOI — not checkedSiamese neural networks for one-shot image recognition
no DOI — not checkedAdvances in Neural Information Processing Systems 32
no DOI — not checkedScikit-learn: Machine Learning in Python
no DOI — not checkedThe pandas development team
no DOI — not checkedSticky Pi–Machine Learning Data
no DOI — not checkedExpedited assessment of terrestrial arthropod diversity by coupling Malaise traps with DNA barcoding1
no DOI — not checkedR: A Language and Environment for Statistical Computing
no DOI — not checkedpbio.3001689.ref067
no DOI — not checkedpbio.3001689.ref069
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work were clean at the dated check: each resolved to a known work in a public registry, and none
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