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Figure 6 in Satellite Monitoring of the Black Sea Ecological Risk Areas
Figure 6. Upper: Fragment of a true color image of the eastern part of the Black Sea acquired by OLI Landsat-8 on 08.03.2016 shows up to 50 km long jet-like plumes, eddy and internal waves. White arrow marks internal wave train; Bottom: areas of the maximum spread of suspended matter; green curve marks the boundary of the greatest spread of suspended matter; red curve - the boundary of a region with a maximum suspended matter concentration.
Figure 4 in Monitoring of infestation percentages of the invasive red palm weevil, Rhynchophorus ferrugineus (Coleoptera: Curculionidae), and management tactics: a six-year study
Figure 4. Percentages of infested, treated & removed palm trees affected by R. ferrugineus, in 8 date palm locations in Qassim Province from 2015 to 2020, Saudi Arabia.
Figure 5 in Monitoring of infestation percentages of the invasive red palm weevil, Rhynchophorus ferrugineus (Coleoptera: Curculionidae), and management tactics: a six-year study
Figure 5. The relationship between the percentage of infested to treated and infested to removed date palm trees affected by R. ferrugineus, from 2015 to 2020 (Regression equations and R2 values).
Figure 1 in Monitoring of infestation percentages of the invasive red palm weevil, Rhynchophorus ferrugineus (Coleoptera: Curculionidae), and management tactics: a six-year study
Figure 1. Map of Qassim province showing the 8 locations of study. In the eight locations (Qassim/Saudi Arabia) in which a survey of RPW studies was conducted from 2015-2020 - Each Location was coded with a Blue Letter.
Figure 3 in Monitoring of infestation percentages of the invasive red palm weevil, Rhynchophorus ferrugineus (Coleoptera: Curculionidae), and management tactics: a six-year study
Figure 3. The yearly average of infested, treated & removed date palm trees affected by R. ferrugineus from 2015 to 2020, Qassim Province, Saudi Arabia.
Figure 3 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U.S.A.
Figure 3. Percent of porpoise-positive minutes (PPM) that contained at least five click trains with minimum interclick intervals (MICIs) of <10 ms, thus classified as a buzz-positive minute (BPM). The star symbols and brackets represent post hoc Tukey tests that gave significant results at the P <0.05 level: Morning ťs. Day and Day ťs. Night for the offshore site.
Figure 4 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U.S.A.
Figure 4. Distribution of harbor porpoise acoustic activity at the reef site measured as (a) porpoise positive minute (PPM) and (b) buzz positive minute (BPM) as a function of the tidal cycle. The length of the bars represents the binned presence of PPM or BPM during a given tidal phase. The black arrows represent the peak in mean PPMs and BPMs, respectively.
Figure 2 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U.S.A.
Figure 2. Percent of daily monitored minutes in which harbor porpoise were detected for the reef and offshore sites throughout the study period. The gray shaded areas represent data gaps between deployments.
Figure 1 in Acoustic monitoring reveals the times and tides of harbor porpoise (Phocoena phocoena) distribution off central Oregon, U.S.A.
Figure 1. Bathymetric overview of study area in coastal Oregon (see inset) with acoustic instrumentation deployment sites displayed by the black dots.
Fig. 4 in Diel flight activity patterns of the red palm weevil (Coleoptera: Curculionidae) as monitored by smart traps
Fig. 4. Diel pattern for the mean total number of red palm weevils (RPW) captured per trap during the 62 d trapping period. Columns headed by the same letter are not significantly different from each other.
Fig. 3 in Diel flight activity patterns of the red palm weevil (Coleoptera: Curculionidae) as monitored by smart traps
Fig. 3. Mean temporal distributions of adult male (A), female (B), and total (C) red palm weevils captured in STs over the 24 h diel cycle. Each circle represents 4, 16, and 19 weevils in A, B, and C, respectively.
Fig. 1. A in Monitoring coffee berry borer, Hypothenemus hampei (Coleoptera: Curculionidae), populations with alcoholbaited funnel traps in coffee farms in Colombia
Fig. 1. A red funnel trap used to capture CBB (Hypothenemus hampei) (A) and the methanol–ethanol lure (3: 1 ratio) enclosed in a semi-permeable membrane (B). CBB were collected in a plastic container containing 200 mL of soapy water. Photo Alex. E. Bustillo.
Fig. 2 in Monitoring coffee berry borer, Hypothenemus hampei (Coleoptera: Curculionidae), populations with alcoholbaited funnel traps in coffee farms in Colombia
Fig. 2. Number of CBB (Hypothenemus hampei) captured per trap per month (mean ± SEM) and corresponding berry infestation (%) on large coffee farms (≥ 20 ha) in Risaralda, Caldas, Colombia (A), and on small coffee farms (≤ 3 ha) in Viterbo, Caldas, Colombia (B) in 2003-2004. Note differences in axis scales.
Electronic appendix for "Are we there yet? A critical experimental assessment of the application of induced polarization for monitoring geochemical processes", Strobel, C., Störiko, A, Olaf, O.A. & Mellage, A.
Open the record for dataset details and reuse information.
Рис. 2. ПоΛигон набΛюΑения за инΑивиΑуаΛьным повеΑением гренΛанΑского Λемминга, о. ВрангеΛя, июнь-август 1987 г. Fig. 2. Observation site to monitor individual behavior of the Greenland lemming, Wrangel Island, June–August 1987 in Territorial behaviour of the greenlandic lemming (Dicrostonyx groenlandicus Trail, 1823) on Wrangel Island
Рис. 2. ПоΛигон набΛюΑения за инΑивиΑуаΛьным повеΑением гренΛанΑского Λемминга, о. ВрангеΛя, июнь-август 1987 г. Fig. 2. Observation site to monitor individual behavior of the Greenland lemming, Wrangel Island, June–August 1987
Рис. 1. Географическое поΛожение Норского заповеΑника (А) и картосхема распоΛожения на его территории (Б) учетных пΛощаΑок с фитоценозами (L_1–L_7) на Αвух мониторинговых станциях (I–II). I — МаΛьцевская: L_1 — березняк с участием осины и Λиственницы рябинниковый вейниково-разнотравный; L_2 — осиново-беΛоберезовый рябинниковый вейниково-разнотравный Λес; L_3 — Λиственничник с участием березы пΛоскоΛистной осоково-вейниковый с разнотравьем; L_4 — беΛоберезово-Λиственничный с примесью осины роΑоΑенΑроновый бруснично-осоковый Λес; L_5 — закустаренный, преимущественно тавоΛгой ивоΛистной, разнотравно-вейниковый Λуг. II — Антоновская: L_6 — Λиственничник роΑоΑенΑроново-брусничный; L_7 — Λиственнично-беΛоберезовый с примесью пихты и еΛи закустаренный разнотравно-вейниковый Λес (коΑ типа местообитания соответствуют таковому в табΛ. 1 и 3 и на рис. 2) Fig. 1. Geographical location of the Norsky Nature Reserve (A) and the map (B) of registration sites with phytocenoses (L_1–L_7) at two monitoring stations (I–II). I — Maltsevskaya: L_1 — birch forest with aspen and larch, fieldfare reed-forb; L_2 — aspen-white-birch, fieldfare reed-forb forest; L_3 — larch forest with flat-leaved sedge-reed birch with forbs; L_4 — white-birch-larch with an admixture of aspen rhododendron lingonberry-sedge forest; L_5 — bushy, mostly meadowsweet, forb-reed grass meadow. II — Antonovskaya: L_6 — rhododendron-cowberry larch forest; L_7 — larch-white-birch with fir and spruce, shrubby forb-reed grass forest (the code of the habitat type corresponds to that in Tables 1 and 3 and in Fig. 2) in Structure and dynamics of the taxocenes of shrews in different habitats of the Norsky nature reserve
Рис. 1. Географическое поΛожение Норского заповеΑника (А) и картосхема распоΛожения на его территории (Б) учетных пΛощаΑок с фитоценозами (L_1–L_7) на Αвух мониторинговых станциях (I–II). I — МаΛьцевская: L_1 — березняк с участием осины и Λиственницы рябинниковый вейниково-разнотравный; L_2 — осиново-беΛоберезовый рябинниковый вейниково-разнотравный Λес; L_3 — Λиственничник с участием березы пΛоскоΛистной осоково-вейниковый с разнотравьем; L_4 — беΛоберезово-Λиственничный с примесью осины роΑоΑенΑроновый бруснично-осоковый Λес; L_5 — закустаренный, преимущественно тавоΛгой ивоΛистной, разнотравно-вейниковый Λуг. II — Антоновская: L_6 — Λиственничник роΑоΑенΑроново-брусничный; L_7 — Λиственнично-беΛоберезовый с примесью пихты и еΛи закустаренный разнотравно-вейниковый Λес (коΑ типа местообитания соответствуют таковому в табΛ. 1 и 3 и на рис. 2) Fig. 1. Geographical location of the Norsky Nature Reserve (A) and the map (B) of registration sites with phytocenoses (L_1–L_7) at two monitoring stations (I–II). I — Maltsevskaya: L_1 — birch forest with aspen and larch, fieldfare reed-forb; L_2 — aspen-white-birch, fieldfare reed-forb forest; L_3 — larch forest with flat-leaved sedge-reed birch with forbs; L_4 — white-birch-larch with an admixture of aspen rhododendron lingonberry-sedge forest; L_5 — bushy, mostly meadowsweet, forb-reed grass meadow. II — Antonovskaya: L_6 — rhododendron-cowberry larch forest; L_7 — larch-white-birch with fir and spruce, shrubby forb-reed grass forest (the code of the habitat type corresponds to that in Tables 1 and 3 and in Fig. 2)
Fig. 2 in Placement density and longevity of pheromone traps for monitoring of the citrus leafminer (Lepidoptera: Gracillariidae)
Fig. 2. Relationship between the proportional number of Phyllocnistis citrella captures per trap and day of aged lures with respect to unaged lures, and the number of weeks that each lure was exposed to field environmental conditions during spring 2013, for the 2 commercial brands of lures a) ISCA and b) AlphaScents.
Fig. 1 in Placement density and longevity of pheromone traps for monitoring of the citrus leafminer (Lepidoptera: Gracillariidae)
Fig. 1. Mean number of Phyllocnistis citrella adult male captures per trap and day (± standard error) from Apr 2012 to Dec 2013, at the 3 trap densities tested: high: approximately 1 trap per 0.40 ha (1 acre), medium: approximately 1 trap per 1.21 ha (3 acres), and low: approximately 1 trap per 2.02 ha (5 acres).
Fig. 4 in Placement density and longevity of pheromone traps for monitoring of the citrus leafminer (Lepidoptera: Gracillariidae)
Fig. 4. Relationship between the proportional number of Phyllocnistis citrella captures per trap and day of aged lures with respect to unaged lures, and the number of weeks that each lure was exposed to field environmental conditions, with data combined for ISCA and AlphaScents during spring and ISCA during summer/fall 2013.
Fig. 3 in Placement density and longevity of pheromone traps for monitoring of the citrus leafminer (Lepidoptera: Gracillariidae)
Fig. 3. Relationship between the proportional number of Phyllocnistis citrella captures per trap and day of aged lures with respect to unaged lures, and the number of weeks that each lure was exposed to field environmental conditions during summer/fall 2013, for the 2 commercial brands of lures a) ISCA and b) AlphaScents.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.